People_

Associate Professor Chang Xu

ARC Future Fellow
Associate Professor in Machine Learning and Computer Vision
School of Computer Science

Phone

+61 2 8627 6015

Email

c.xu@sydney.edu.au

Address

J12 - Computer Science Building

The University of Sydney

Details

Member of Sydney Southeast Asia Centre

Member of The Net Zero Institute

Websites

School of Computer Science

Personal webpage

Biographical details

Dr Chang Xu is Associate Professor in Machine Learning and Computer Vision at the School of Computer Science, University of Sydney. He obtained a Bachelor of Engineering from Tianjin University, China, and a Ph.D. degree from Peking University, China. While pursing his PhD degree, Chang received fellowships from IBM and Baidu. His research interests lie in machine learning, data mining algorithms and related applications in artificial intelligence and computer vision, including multi-view learning, multi-label learning, visual search and face recognition. His research outcomes have been widely published in prestigious journals and top tier conferences.

Research interests

Nowadays, data is increasingly cheap and ubiquitous. The corpuses are too voluminous to fit on a single machine. Meanwhile, the variety of data stands out on its own, as the data often include various data types, such as video, music and text. They are heterogeneity in modality, sources and semantics. On the other hand, they are typically messy, incomplete, and unstructured. Given these challenges, the ability to handle data variety and use it to our advantage is becoming ever more important.

Dr Chang Xu's passion is to devise ways to understand how data variety works and how it can be interrogated and exploited for the broadest possible purposes.

"We humans can intelligently integrate information from their natural senses of vision, hearing, touch and so on to make the decision. This innate ability enables us to confidently interpret our current environment or situation no matter how complex it is.

"A machine can also easily collect diverse information through different sensors or extractors, e.g., colour descriptor, local binary patterns, local shape descriptor and spatial temporal context captured by multiple cameras for human activity understanding in camera network, or the word content of webpage, and the website address and name to distinguish this particular web page before your eyes now.

"How best to describe these heterogeneous data, explore their underlying properties and inner relationships, and leverage them for distinct decision needs excite me about the research.

"I identify significant challenges, provide fundamental theoretical supports, and formulate innovative algorithmic solutions to understand and manipulate data variety. One of my ultimate research aims is allowing machines to intelligently handle multiple information sources like humans.

"I warmly welcome students and peers to collaborate with me in the related research fields to make contributions to the realization of Artificial Intelligence."

Teaching and supervision

COMP5329 Deep Learning

PhD and master's project opportunities

Deep Learning for Automatic Game Character Designs

Current research students

Project title	Research student
Privacy-Preserving Data Generations	Chen CHEN
Guidance in Diffusion Models	Anh-dung DINH
Generative Models for Radar Reflectivity Image Synthesis	Asher HU
Efficiency of Large Language Models	Terry PEI
Uncertainty Calibration for Deep Neural Networks	Linwei TAO
Solving Graph Similarity Problem using Deep Learning models	Mouyi XU
Advancing Quadrupedal Robotics for Agility Competitions with Parkour Learning and Robust Person Following	Zunzhi YOU
Protein Sequence-based 3D Molecule Generation using Deep Generative Model	Chuyang ZHOU
Comprehensive Optimization of Deep Learning: Efficient and Effective Algorithm and System Design	Zhongzhu Charlie ZHOU

Publications

By Type

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Journals

Chang, L., Wang, Y., Du, B., Xu, C. (2025). Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks, 181, 106809. [More Information]
Yang, Z., Qiu, Z., Xu, C., Fu, D. (2024). MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. IEEE Transactions on Visualization and Computer Graphics. [More Information]
Wang, Y., Du, B., Wang, W., Xu, C. (2024). Multi-tailed vision transformer for efficient inference. Neural Networks, 174, 106235. [More Information]
Wu, Z., Li, J., Xu, C., Huang, D., Hoi, S. (2024). RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Transactions on Multimedia. [More Information]
Yang, S., Dong, M., Wang, Y., Xu, C. (2023). Adversarial Recurrent Time Series Imputation. IEEE Transactions on Neural Networks and Learning Systems, 34(4), 1639-1650. [More Information]
Guo, D., Xu, C., Tao, D. (2023). Bilinear Graph Networks for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems, 34(2), 1023-1034. [More Information]
Dong, M., Chen, X., Wang, Y., Xu, C. (2023). Improving Lightweight AdderNet via Distillation From ℓ2to ℓ1-norm. IEEE Transactions on Image Processing, 32, 5524-5536. [More Information]
Liu, D., Xu, C., Yang, H., Fu, J., Fu, D. (2023). Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 14888-14904. [More Information]
Wu, Z., Liu, W., Li, J., Xu, C., Huang, D. (2023). SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, 33(11), 6459-6473. [More Information]
Han, K., Wang, Y., Xu, C., Guo, J., Xu, C., Wu, E., Tian, Q. (2022). GhostNets on Heterogeneous Devices via Cheap Operations. International Journal of Computer Vision, 130(4), 1050-1069. [More Information]
Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., Tao, D. (2022). Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 7731-7746. [More Information]
Lu, Z., Xu, C., Du, B., Ishida, T., Zhang, L., Sugiyama, M. (2022). LocalDrop: A Hybrid Regularization for Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7), 3590-3601. [More Information]
Li, Y., Dong, M., Wang, Y., Xu, C. (2022). Neural Architecture Search via Proxy Validation. IEEE Transactions on Pattern Analysis and Machine Intelligence. [More Information]
Li, Y., Dong, M., Xu, Y., Wang, Y., Xu, C. (2022). Neural architecture tuning with policy adaptation. Neurocomputing, 485, 196-204. [More Information]
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2022). Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5), 2657-2672. [More Information]
Shamsabadi, E., Xu, C., Dias-da-Costa, D. (2022). Robust crack detection in masonry structures with Transformers. Measurement, 200. [More Information]
Su, X., You, S., Xie, J., Wang, F., Qian, C., Zhang, C., Xu, C. (2022). Searching for Network Width With Bilaterally Coupled Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. [More Information]
Dong, M., Xu, C. (2022). Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Transactions on Neural Networks and Learning Systems. [More Information]
Huang, H., Zhang, J., Yu, L., Zhang, J., Wu, Q., Xu, C. (2022). TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. IEEE Transactions on Circuits and Systems for Video Technology, 32(2), 853-866. [More Information]
Shamsabadi, E., Xu, C., Rao, A., Nguyen, T., Ngo, T., Dias-da-Costa, D. (2022). Vision transformer-based autonomous crack detection on asphalt and concrete surfaces. Automation in Construction, 140. [More Information]
Chen, H., Wang, Y., Xu, C., Xu, C., Tao, D. (2021). Learning Student Networks via Feature Embedding. IEEE Transactions on Neural Networks and Learning Systems, 32(1), 25-35. [More Information]
Zhong, Y., Du, B., Xu, C. (2021). Learning to reweight examples in multi-label classification. Neural Networks, 142, 428-436. [More Information]
Feng, Z., Xu, C., Tao, D. (2021). Open-Set Hypothesis Transfer with Semantic Consistency. IEEE Transactions on Image Processing, 30, 6473-6484. [More Information]
Mei, M., Zhong, Y., He, F., Xu, C. (2020). An innovative multi-label learning based algorithm for city data computing. Geoinformatica, 24(1), 221-245. [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Xu, J., Zhang, H. (2020). Discriminative Multi-View Privileged Information Learning for Image Re-Ranking. IEEE Transactions on Image Processing, 29, 3490-3505. [More Information]
Zhang, X., Xu, C., Tian, X., Tao, D. (2020). Graph edge convolutional neural networks for skeleton-based action recognition. IEEE Transactions on Neural Networks and Learning Systems, 31(8), 3047-3060. [More Information]
Li, X., Du, B., Zhang, Y., Xu, C., Tao, D. (2020). Iterative Privileged Learning. IEEE Transactions on Neural Networks and Learning Systems, 31(8), 2805-2817. [More Information]
Yang, J., Jia, M., Xu, C., Li, S. (2020). Joint hyperspectral unmixing for urban computing. Geoinformatica, 24(1), 247-265. [More Information]
Chen, X., Xu, C., Yang, X., Tao, D. (2020). Long-Term Video Prediction via Criticization and Retrospection. IEEE Transactions on Image Processing, 29, 7090-7103. [More Information]
Li, X., Du, B., Xu, C., Zhang, Y., Zhang, L., Tao, D. (2020). Robust learning with imperfect privileged information. Artificial Intelligence, 282, 103246. [More Information]
Guo, T., Xu, C., He, S., She, B., Xu, C., Tao, D. (2020). Robust student network learning. IEEE Transactions on Neural Networks and Learning Systems, 31(7), 2455-2468. [More Information]
Wang, C., Xu, C., Tao, D. (2020). Self-Supervised Pose Adaptation for Cross-Domain Image Animation. IEEE Transactions on Artificial Intelligence, 1(1), 34-46. [More Information]
Du, Y., Fang, M., Yi, J., Xu, C., Cheng, J., Tao, D. (2019). Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Transactions on Multimedia, 21(3), 555-565. [More Information]
Wang, C., Xu, C., Yao, X., Tao, D. (2019). Evolutionary Generative Adversarial Networks. IEEE Transactions on Evolutionary Computation, 23(6), 921-934. [More Information]
Chen, X., Xu, C., Yang, X., Song, L., Tao, D. (2019). Gated-GAN: Adversarial gated networks for multi-collection style transfer. IEEE Transactions on Image Processing, 28(2), 546-560. [More Information]
Yang, J., Xiong, W., Li, S., Xu, C. (2019). Learning structured and non-redundant representations with deep neural networks. Pattern Recognition, 86, 224-235. [More Information]
Wang, Y., Xu, C., Xu, C., Tao, D. (2019). Packing Convolutional Neural Networks in the Frequency Domain. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(10), 2495-2510. [More Information]
Kong, S., Shi, F., Wang, C., Xu, C. (2019). Point Cloud Generation from Multiple Angles of Voxel Grids. IEEE Access, 7, 160436-160448. [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Ramamohanarao, K., Tao, D. (2019). ROMIR: Robust Multi-view Image Re-ranking. IEEE Transactions On Knowledge And Data Engineering, 31(12), 2393-2406. [More Information]
Dong, M., Xu, C. (2019). Spatial-Temporal attention-based human dynamics retrospection. IEEE Access, 7, 107300-107310. [More Information]
Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2018). Cost-Sensitive Feature Selection by Optimizing F-measures. IEEE Transactions on Image Processing, 27(3), 1323-1335. [More Information]
Du, Y., Xu, C., Tao, D. (2018). Matrix Factorization for Collaborative Budget Allocation. IEEE Transactions on Automation Science and Engineering, 15(4), 1471-1482. [More Information]
Du, B., Wang, S., Xu, C., Wang, N., Zhang, L., Tao, D. (2018). Multi-Task Learning for Blind Source Separation. IEEE Transactions on Image Processing, 27(9), 4219-4231. [More Information]
Zhao, Y., You, X., Yu, S., Xu, C., Yuan, W., Jing, X., Zhang, T., Tao, D. (2018). Multi-view manifold learning with locality alignment. Pattern Recognition, 78, 154-166. [More Information]
Wang, C., Xu, C., Wang, C., Tao, D. (2018). Perceptual Adversarial Networks for Image-to-Image Transformation. IEEE Transactions on Image Processing, 27(8), 4066-4079. [More Information]
Pang, X., Xu, C., Xu, Y. (2018). Scaling KNN multi-class twin support vector machine via safe instance reduction. Knowledge-Based Systems, 148, 17-30. [More Information]
Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). DCT Regularized Extreme Visual Recovery. IEEE Transactions on Image Processing, 26(7), 3360-3371. [More Information]
Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). DCT regularized extreme visual recovery. IEEE Transactions on Image Processing, 26(7), 3360-3371. [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Tao, D. (2017). Discriminative Multi-view Interactive Image Re-ranking. IEEE Transactions on Image Processing, 26(7), 3113-3127. [More Information]
Qiao, M., Liu, L., Yu, J., Xu, C., Tao, D. (2017). Diversified dictionaries for multi-instance learning. Pattern Recognition, 64, 407-416. [More Information]
Xu, C., Wang, G., Liu, X., Guo, D., Liu, T. (2016). Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Transactions on Computers, 65(11), 3502-3508. [More Information]
Xu, C., Liu, T., Tao, D., Xu, C. (2016). Local Rademacher Complexity for Multi-Label Learning. IEEE Transactions on Image Processing, 25(3), 1495-1507. [More Information]
Li, J., Xu, C., Gong, M., Xing, J., Yang, W., Sun, C. (2016). SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing, 207, 202-212. [More Information]
Xu, C., Tao, D., Li, Y., Xu, C. (2015). Large-margin multi-view Gaussian process. Multimedia Systems, 21(2), 147-157. [More Information]
Ding, C., Xu, C., Tao, D. (2015). Multi-Task Pose-Invariant Face Recognition. IEEE Transactions on Image Processing, 24(3), 980-993. [More Information]
Xu, C., Tao, D., Xu, C. (2015). Multi-View Intact Space Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), 2531-2544. [More Information]
Xu, C., Tao, D., Xu, C. (2015). Multi-View Learning with Incomplete Views. IEEE Transactions on Image Processing, 24(12), 5812-5825. [More Information]
Xu, C., Tao, D., Xu, C. (2014). Large-Margin Multi-View Information Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1559-1572. [More Information]
Chen, E., Qiu, S., Xu, C., Tian, F., Liu, T. (2014). Word embedding: Continuous space representation for natural language. Shuju Caiji Yu Chuli / Journal of Data Acquisition and Processing, 29(1), 19-29.
Luo, Y., Tao, D., Xu, C., Xu, C., Liu, H., Wen, Y. (2013). Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 709-722. [More Information]

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Conferences

You, Z., Liu, D., Han, B., Xu, C. (2024). Beyond pretrained features: Noisy image modeling provides adversarial defense. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS. [More Information]
Dong, M., Liu, D., Sun, C., Xu, C. (2023). Calibrating a Deep Neural Network with Its Predecessors. IJCAI International Joint Conference on Artificial Intelligence, : Institute of Electrical and Electronics Engineers Inc.
Zhang, J., Liu, D., Zhang, S., Xu, C. (2023). Contrastive Sampling Chains in Diffusion Models. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS.
Liu, D., Li, Q., Jiang, T., Shah, M., Xu, C. (2023). Diffusion Action Segmentation. IEEE/CVF International Conference on Computer Vision, ICCV 2023, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Jiang, S., Liu, D., Xu, C. (2023). Personalized Image Generation for Color Vision Deficiency Population. IEEE/CVF International Conference on Computer Vision, ICCV 2023, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Liu, D., Xu, C. (2023). PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. 40th International Conference on Machine Learning, ICML 2023, NA: ML Research Press.
Chen, C., Liu, D., Ma, S., Nepal, S., Xu, C. (2023). Private image generation with dual-purpose auxiliary classifier. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Piscataway, NJ 08855-1331: IEEE Computer Society. [More Information]
Liu, D., Xu, C. (2023). Rethinking Conditional Diffusion Sampling with Progressive Guidance. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS.
Tang,, Y., Han,, K., Guo, J., Xu, C., Li, Y., Xu,, C., Wang,, Y. (2022). An Image Patch is a Wave: Phase-Aware Vision MLP. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Pei, X., Liu, D., Qian, L., Xu, C. (2022). Contrastive Code-Comment Pre-training. 22nd IEEE International Conference on Data Mining ICDM 2022, : Springer Verlag. [More Information]
Wang, X., Huang, J., Ma,, S., Nepal,, S., Xu, C. (2022). DeepFake Disrupter: The Detector of DeepFake Is My Friend. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Tang,, Y., Han,, K., Wang,, Y., Xu, C., Xu,, C., Tao,, D. (2022). Patch Slimming for Efficient Vision Transformers. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Song, D., Wang, Y., Chen, H., Xu, C., Xu, C., Tao, D. (2021). AddersR: Towards energy efficient image super-resolution. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, S., Guo,, T., Wang,, Y., Xu, C. (2021). Adversarial Robustness through Disentangled Representations. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, : International Astronautical Federation, IAF.
Chen,, X., Xu, C., Dong, M., Xu,, C., Wang,, Y. (2021). An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Su, X., You, S., Wang, F., Qian, C., Zhang, C., Xu, C. (2021). BCNEt: Searching for Network Width with Bilaterally Coupled Network. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Huang, J., Wang, X., Du, B., Du, P., Xu, C. (2021). DeepFake MNIST+: A DeepFake Facial Animation Dataset. 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Guo, J., Han, K., Wang, Y., Wu, H., Chen, X., Xu, C., Xu, C. (2021). Distilling Object Detectors via Decoupled Features. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Dong, M., Wang,, Y., Chen,, X., Xu, C. (2021). Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Yang, Z., Wang, Y., Chen, X., Guo, J., Zhang, W., Xu, C., Xu, C., Tao, D., Xu, C. (2021). HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Xu,, Y., Han,, K., Xu, C., Tang,, Y., Xu,, C., Wang,, Y. (2021). Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Xie,, W., Song,, D., Xu, C., Xu,, C., Zhang,, H., Wang,, Y. (2021). Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. 18th IEEE/CVF International Conference on Computer Vision (ICCV 2021), : Springer International Publishing AG.
Chen, H., Guo, T., Xu, C., Li, W., Xu, C., Xu, C., Wang, Y. (2021). Learning Student Networks in the Wild. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Tang, Y., Wang, Y., Xu, Y., Deng, Y., Xu, C., Tao, D., Xu, C. (2021). Manifold Regularized Dynamic Network Pruning. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, Y., Yang,, Z., Wang,, Y., Xu, C. (2021). Neural Architecture Dilation for Adversarial Robustness. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Xu, C., Ma, S., Lo, D. (2021). PLP 2021: Workshop on Programming Language Processing. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), New York: Association for Computing Machinery (ACM). [More Information]
Guo, J., Han, K., Wu, H., Zhang, C., Chen, X., Xu, C., Xu, C., Wang, Y. (2021). Positive-Unlabeled Data Purification in the Wild for Object Detection. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Wang, Y., Guo, T., Xu, C., Deng, Y., Liu, Z., Ma, S., Xu, C., Xu, C., Gao, W. (2021). Pre-trained image processing transformer. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Su, X., Huang, T., Li, Y., You, S., Wang, F., Qian, C., Zhang, C., Xu, C. (2021). Prioritized Architecture Sampling with Monto-Carlo Tree Search. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Huang,, H., Zhang,, J., Zhang,, J., Wu,, Q., Xu, C. (2021). PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, : International Astronautical Federation, IAF.
Xu, Y., Wang, Y., Han, K., Tang, Y., Jui, S., Xu, C., Xu, C. (2021). ReNAS: Relativistic Evaluation of Neural Architecture Search. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Wang, Y., Xu, C., Du, B. (2021). Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. International Joint Conferences on Artificial Intelligence. [More Information]
Yang, S., Feng, Z., Du, P., Du, B., Xu, C. (2021). Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. 21st IEEE International Conference on Data Mining, ICDM 2021, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Dong, M., Wang,, Y., Chen,, X., Xu, C. (2021). Towards Stable and Robust AdderNets. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Zheng,, M., Wang,, F., You,, S., Qian,, C., Zhang,, C., Wang,, X., Xu, C. (2021). Weakly Supervised Contrastive Learning. 18th IEEE/CVF International Conference on Computer Vision (ICCV 2021), : Springer International Publishing AG.
Zhu, X., Xu, C., Tao, D. (2021). Where and What? Examining Interpretable Disentangled Representations. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Tang, Y., Wang, Y., Xu, Y., Chen, H., Shi, B., Xu, C., Xu, C., Tian, Q., Xu, C. (2020). A semi-supervised assessor of neural architectures. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, Y., Yang, Z., Wang, Y., Xu, C. (2020). Adapting neural architectures between domains. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., Xu, C. (2020). AdderNet: Do we really need multiplications in deep learning? 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Tang, Y., Wang, Y., Xu, Y., Shi, B., Xu, C., Xu, C., Xu, C. (2020). Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Yang, Z., Wang, Y., Chen, X., Shi, B., Xu, C., Xu, C., Tian, Q., Xu, C. (2020). CARS: Continuous Evolution for Efficient Neural Architecture Search. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhang, X., Xu, C., Tao, D. (2020). Context Aware Graph Convolution for Skeleton-Based Action Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, Z., Wang, Y., Xu, C., Du, P., Xu, C., Xu, C., Tian, Q. (2020). Discernible Image Compression. 28th ACM Multimedia Conference (MM 2020), New York: Association for Computing Machinery (ACM). [More Information]
Chen, H., Wang, Y., Shu, H., Wen, C., Xu, C., Shi, B., Xu, C., Xu, C. (2020). Distilling Portable Generative Adversarial Networks for Image Translation. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Song, D., Xu, C., Jia, X., Chen, Y., Xu, C., Wang, Y. (2020). Efficient residual dense block search for image super-resolution. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Chen, H., Wang, Y., Shu, H., Tang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., Xu, C. (2020). Frequency domain compact 3d convolutional neural networks. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., Xu, C. (2020). GhostNet: More features from cheap operations. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Guo, J., Han, K., Wang, Y., Zhang, C., Yang, Z., Wu, H., Chen, X., Xu, C. (2020). Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Xu, Y., Xu, C., Chen, X., Zhang, W., Xu, C., Wang, Y. (2020). Kernel Based Progressive Distillation for Adder Neural Networks. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Zhu, X., Xu, C., Tao, D. (2020). Learning Disentangled Representations with Latent Variation Predictability. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Kong, S., Guo, T., You, S., Xu, C. (2020). Learning student networks with few data. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Li, Y., Dong, M., Wang, Y., Xu, C. (2020). Neural Architecture Search in A Proxy Validation Loss Landscape. 37th International Conference on Machine Learning (ICML 2020), Vienna: International Machine Learning Society.
Han, J., Zhou, C., Duan, P., Tang, Y., Xu, C., Xu, C., Huang, T., Shi, B. (2020). Neuromorphic Camera Guided High Dynamic Range Imaging. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhang, X., Xu, C., Tao, D. (2020). On Dropping Clusters to Regularize Graph Convolutional Neural Networks. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Guo, T., Xu, C., Huang, J., Wang, Y., Shi, B., Xu, C., Tao, D. (2020). On Positive-Unlabeled Classification in GAN. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, X., Zhang, Y., Wang, Y., Shu, H., Xu, C., Xu, C. (2020). Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Tang, Y., You, S., Xu, C., Han, J., Qian, C., Shi, B., Xu, C., Zhang, C. (2020). Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Tang, Y., Wang, Y., Xu, Y., Tao, D., Xu, C., Xu, C., Xu, C. (2020). SCOP: Scientific Control for Reliable Neural Network Pruning. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Yang, Z., Wang, Y., Han, K., Xu, C., Xu, C., Tao, D., Xu, C. (2020). Searching for Low-Bit Weights in Quantized Neural Networks. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Xu, J., Hu, K., Xu, C., Tran, D., Wang, Z. (2020). Speaker-aware monaural speech separation. 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020), Shanghai: International Speech Communication Association (ISCA). [More Information]
Han, K., Wang, Y., Xu, Y., Xu, C., Wu, E., Xu, C. (2020). Training Binary Neural Networks through Learning with Noisy Supervision. 37th International Conference on Machine Learning (ICML 2020), Vienna: International Machine Learning Society.
Zhou, C., Zhao, H., Han, J., Xu, C., Xu, C., Huang, T., Shi, B. (2020). UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Wang, G., Chen, X., Xu, C. (2019). Adversarial Watermarking to Attack Deep Neural Networks. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhu, X., Xu, C., Hui, L., Lu, C., Tao, D. (2019). Approximated Bilinear Modules for Temporal Modeling. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Han, K., Wang, Y., Shu, H., Liu, C., Xu, C., Xu, C. (2019). Attribute Aware Pooling for Pedestrian Attribute Recognition. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Shu, H., Wang, Y., Jia, X., Han, K., Chen, H., Xu, C., Tian, Q., Xu, C. (2019). Co-evolutionary compression for unpaired image translation. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Dong, M., Chen, H., Wang, Y., Xu, C. (2019). Crafting Efficient Neural Graph of Large Entropy. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Chen, H., Wang, Y., Xu, C., Yang, Z., Liu, C., Shi, B., Xu, C., Xu, C., Tian, Q. (2019). Data-Free Learning of Student Networks. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Li, M., Perrier, E., Xu, C. (2019). Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), : Springer Verlag. [More Information]
Guo, D., Xu, C., Tao, D. (2019). Image-Question-Answer Synergistic Network for Visual Dialog. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2019). Learning from Bad Data via Generation. 33rd Conference on Neural Information Processing Systems (NIPS 2019), Vancouver: Neural Information Processing Systems (NIPS).
Liu, C., Wang, Y., Han, K., Xu, C., Xu, C. (2019). Learning Instance-wise Sparsity for Accelerating Deep Models. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Yang, Z., Wang, Y., Chen, H., Liu, C., Shi, B., Xu, C., Xu, C., Xu, C. (2019). Legonet: Efficient convolutional neural networks with LEGO filters. 36th International Conference on Machine Learning (ICML 2019), : SPIE.
Dong, M., Xu, C. (2019). On Retrospecting Human Dynamics with Attention. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Xu, Y., Wang, Y., Chen, H., Han, K., Xu, C., Tao, D., Xu, C. (2019). Positive-Unlabeled Compression on the Cloud. 33rd Conference on Neural Information Processing Systems (NIPS 2019), Vancouver: Neural Information Processing Systems (NIPS).
Shi, F., You, S., Xu, C. (2019). Reinforced molecule generation with heterogeneous states. 19th IEEE International Conference on Data Mining (ICDM 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Feng, Z., Xu, C., Tao, D. (2019). Self-Supervised Representation Learning by Rotation Feature Decoupling. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Feng, Z., Xu, C., Tao, D. (2019). Self-supervised representation learning from multi-domain data. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag.
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2019). Smooth Deep Image Generator from Noises. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), : Springer Verlag. [More Information]
Wang, Y., Xu, C., Xu, C., Tao, D. (2018). Adversarial Learning of Portable Student Networks. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
Chen, X., Xu, C., Yang, X., Tao, D. (2018). Attention-GAN for Object Transfiguration in Wild Images. 15th European Conference on Computer Vision (ECCV 2018), Cham: Springer. [More Information]
Zhong, Y., Xu, C., Du, B., Zhang, L. (2018). Independent Feature and Label Components for Multi-label Classification. 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
You, S., Xu, C., Xu, C., Tao, D. (2018). Learning with Single-Teacher Multi-Student. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
You, S., Xu, C., Xu, C. (2018). Online Dictionary Learning with Confidence. 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, X., Du, B., Xu, C., Zhang, Y., Zhang, L., Tao, D. (2018). R-SVM+: Robust learning with privileged information. 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm: International Joint Conferences on Artificial Intelligence. [More Information]
He, S., Xu, C., Guo, T., Xu, C., Tao, D. (2018). Reinforced Multi-Label Image Classification by Exploring Curriculum. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
Wang, Y., Xu, C., Qiu, J., Xu, C., Tao, D. (2018). Towards evolutionary compression. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), New York: Association for Computing Machinery (ACM). [More Information]
Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond filters: Compact feature map for portable deep model. The 34th International Conference on Machine Learning, (ICML 2017), online: Proceedings of Machine Learning Research.
Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA: AAAI Press.
Du, Y., Xu, C., Tao, D. (2017). Collaborative Rating Allocation. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2017). Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA: AAAI Press.
Liu, M., Xu, C., Xu, C., Tao, D. (2017). Fast SVM Trained by Divide-and-Conquer Anchors. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
You, S., Xu, C., Xu, C., Tao, D. (2017). Learning from multiple teacher networks. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), New York: Association for Computing Machinery (ACM). [More Information]
Xu, Y., Xu, C., Xu, C., Tao, D. (2017). Multi-Positive and Unlabeled Learning. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Du, Y., Xu, C., Tao, D. (2017). Privileged Matrix Factorization for Collaborative Filtering. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
You, S., Xu, C., Wang, Y., Xu, C., Tao, D. (2017). Privileged Multi-label Learning. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Wang, C., Wang, C., Xu, C., Tao, D. (2017). Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Wang, Y., Xu, C., You, S., Tao, D., Xu, C. (2016). CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, Barcelona: Neural Information Processing Systems (NIPS).
Xu, C., Tao, D., Xu, C. (2016). Robust extreme multi-label learning. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), New York: Association for Computing Machinery (ACM). [More Information]
Xu, C., Tao, D., Xu, C. (2015). Large-margin multi-label causal feature learning. 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin: AAAI Press.
Xu, C., Tao, D., Xu, C. (2015). Multi-view self-paced learning for clustering. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires: AAAI Press.
Xu, C., Tao, D., Xu, C., Rui, Y. (2014). Large-margin weakly supervised dimensionality reduction. 31st International Conference on Machine Learning (ICML 2014), Beijing: International Machine Learning Society.
Xu, C., Tao, D., Li, Y., Xu, C. (2013). Large-margin multi-view Gaussian process for image classification. 5th International Conference on Internet Multimedia Computing and Service (ICIMCS 2013), New York: Association for Computing Machinery (ACM). [More Information]
Luo, Y., Tao, D., Xu, C., Li, D., Xu, C. (2013). Vector-valued multi-view semi-supervised learning for multi-label image classification. 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue: AAAI Press.
Xu, C., Li, Y., Zhou, C., Xu, C. (2012). Learning to rerank images with enhanced spatial verification. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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By Year

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2025

Chang, L., Wang, Y., Du, B., Xu, C. (2025). Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks, 181, 106809. [More Information]

2024

You, Z., Liu, D., Han, B., Xu, C. (2024). Beyond pretrained features: Noisy image modeling provides adversarial defense. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS. [More Information]
Yang, Z., Qiu, Z., Xu, C., Fu, D. (2024). MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. IEEE Transactions on Visualization and Computer Graphics. [More Information]
Wang, Y., Du, B., Wang, W., Xu, C. (2024). Multi-tailed vision transformer for efficient inference. Neural Networks, 174, 106235. [More Information]
Wu, Z., Li, J., Xu, C., Huang, D., Hoi, S. (2024). RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Transactions on Multimedia. [More Information]

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2023

Yang, S., Dong, M., Wang, Y., Xu, C. (2023). Adversarial Recurrent Time Series Imputation. IEEE Transactions on Neural Networks and Learning Systems, 34(4), 1639-1650. [More Information]
Guo, D., Xu, C., Tao, D. (2023). Bilinear Graph Networks for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems, 34(2), 1023-1034. [More Information]
Dong, M., Liu, D., Sun, C., Xu, C. (2023). Calibrating a Deep Neural Network with Its Predecessors. IJCAI International Joint Conference on Artificial Intelligence, : Institute of Electrical and Electronics Engineers Inc.
Zhang, J., Liu, D., Zhang, S., Xu, C. (2023). Contrastive Sampling Chains in Diffusion Models. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS.
Liu, D., Li, Q., Jiang, T., Shah, M., Xu, C. (2023). Diffusion Action Segmentation. IEEE/CVF International Conference on Computer Vision, ICCV 2023, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Dong, M., Chen, X., Wang, Y., Xu, C. (2023). Improving Lightweight AdderNet via Distillation From ℓ2to ℓ1-norm. IEEE Transactions on Image Processing, 32, 5524-5536. [More Information]
Liu, D., Xu, C., Yang, H., Fu, J., Fu, D. (2023). Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 14888-14904. [More Information]
Jiang, S., Liu, D., Xu, C. (2023). Personalized Image Generation for Color Vision Deficiency Population. IEEE/CVF International Conference on Computer Vision, ICCV 2023, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Liu, D., Xu, C. (2023). PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. 40th International Conference on Machine Learning, ICML 2023, NA: ML Research Press.
Chen, C., Liu, D., Ma, S., Nepal, S., Xu, C. (2023). Private image generation with dual-purpose auxiliary classifier. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Piscataway, NJ 08855-1331: IEEE Computer Society. [More Information]
Liu, D., Xu, C. (2023). Rethinking Conditional Diffusion Sampling with Progressive Guidance. The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, US: NeurIPS.
Wu, Z., Liu, W., Li, J., Xu, C., Huang, D. (2023). SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, 33(11), 6459-6473. [More Information]

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2022

Tang,, Y., Han,, K., Guo, J., Xu, C., Li, Y., Xu,, C., Wang,, Y. (2022). An Image Patch is a Wave: Phase-Aware Vision MLP. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Pei, X., Liu, D., Qian, L., Xu, C. (2022). Contrastive Code-Comment Pre-training. 22nd IEEE International Conference on Data Mining ICDM 2022, : Springer Verlag. [More Information]
Wang, X., Huang, J., Ma,, S., Nepal,, S., Xu, C. (2022). DeepFake Disrupter: The Detector of DeepFake Is My Friend. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Han, K., Wang, Y., Xu, C., Guo, J., Xu, C., Wu, E., Tian, Q. (2022). GhostNets on Heterogeneous Devices via Cheap Operations. International Journal of Computer Vision, 130(4), 1050-1069. [More Information]
Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., Tao, D. (2022). Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 7731-7746. [More Information]
Lu, Z., Xu, C., Du, B., Ishida, T., Zhang, L., Sugiyama, M. (2022). LocalDrop: A Hybrid Regularization for Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7), 3590-3601. [More Information]
Li, Y., Dong, M., Wang, Y., Xu, C. (2022). Neural Architecture Search via Proxy Validation. IEEE Transactions on Pattern Analysis and Machine Intelligence. [More Information]
Li, Y., Dong, M., Xu, Y., Wang, Y., Xu, C. (2022). Neural architecture tuning with policy adaptation. Neurocomputing, 485, 196-204. [More Information]
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2022). Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5), 2657-2672. [More Information]
Tang,, Y., Han,, K., Wang,, Y., Xu, C., Xu,, C., Tao,, D. (2022). Patch Slimming for Efficient Vision Transformers. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, : IEEE Computer Society.
Shamsabadi, E., Xu, C., Dias-da-Costa, D. (2022). Robust crack detection in masonry structures with Transformers. Measurement, 200. [More Information]
Su, X., You, S., Xie, J., Wang, F., Qian, C., Zhang, C., Xu, C. (2022). Searching for Network Width With Bilaterally Coupled Network. IEEE Transactions on Pattern Analysis and Machine Intelligence. [More Information]
Dong, M., Xu, C. (2022). Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Transactions on Neural Networks and Learning Systems. [More Information]
Huang, H., Zhang, J., Yu, L., Zhang, J., Wu, Q., Xu, C. (2022). TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. IEEE Transactions on Circuits and Systems for Video Technology, 32(2), 853-866. [More Information]
Shamsabadi, E., Xu, C., Rao, A., Nguyen, T., Ngo, T., Dias-da-Costa, D. (2022). Vision transformer-based autonomous crack detection on asphalt and concrete surfaces. Automation in Construction, 140. [More Information]

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2021

Song, D., Wang, Y., Chen, H., Xu, C., Xu, C., Tao, D. (2021). AddersR: Towards energy efficient image super-resolution. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, S., Guo,, T., Wang,, Y., Xu, C. (2021). Adversarial Robustness through Disentangled Representations. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, : International Astronautical Federation, IAF.
Chen,, X., Xu, C., Dong, M., Xu,, C., Wang,, Y. (2021). An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Su, X., You, S., Wang, F., Qian, C., Zhang, C., Xu, C. (2021). BCNEt: Searching for Network Width with Bilaterally Coupled Network. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Huang, J., Wang, X., Du, B., Du, P., Xu, C. (2021). DeepFake MNIST+: A DeepFake Facial Animation Dataset. 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Guo, J., Han, K., Wang, Y., Wu, H., Chen, X., Xu, C., Xu, C. (2021). Distilling Object Detectors via Decoupled Features. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Dong, M., Wang,, Y., Chen,, X., Xu, C. (2021). Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Yang, Z., Wang, Y., Chen, X., Guo, J., Zhang, W., Xu, C., Xu, C., Tao, D., Xu, C. (2021). HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Xu,, Y., Han,, K., Xu, C., Tang,, Y., Xu,, C., Wang,, Y. (2021). Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Xie,, W., Song,, D., Xu, C., Xu,, C., Zhang,, H., Wang,, Y. (2021). Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. 18th IEEE/CVF International Conference on Computer Vision (ICCV 2021), : Springer International Publishing AG.
Chen, H., Guo, T., Xu, C., Li, W., Xu, C., Xu, C., Wang, Y. (2021). Learning Student Networks in the Wild. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Wang, Y., Xu, C., Xu, C., Tao, D. (2021). Learning Student Networks via Feature Embedding. IEEE Transactions on Neural Networks and Learning Systems, 32(1), 25-35. [More Information]
Zhong, Y., Du, B., Xu, C. (2021). Learning to reweight examples in multi-label classification. Neural Networks, 142, 428-436. [More Information]
Tang, Y., Wang, Y., Xu, Y., Deng, Y., Xu, C., Tao, D., Xu, C. (2021). Manifold Regularized Dynamic Network Pruning. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, Y., Yang,, Z., Wang,, Y., Xu, C. (2021). Neural Architecture Dilation for Adversarial Robustness. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Feng, Z., Xu, C., Tao, D. (2021). Open-Set Hypothesis Transfer with Semantic Consistency. IEEE Transactions on Image Processing, 30, 6473-6484. [More Information]
Xu, C., Ma, S., Lo, D. (2021). PLP 2021: Workshop on Programming Language Processing. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), New York: Association for Computing Machinery (ACM). [More Information]
Guo, J., Han, K., Wu, H., Zhang, C., Chen, X., Xu, C., Xu, C., Wang, Y. (2021). Positive-Unlabeled Data Purification in the Wild for Object Detection. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Wang, Y., Guo, T., Xu, C., Deng, Y., Liu, Z., Ma, S., Xu, C., Xu, C., Gao, W. (2021). Pre-trained image processing transformer. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Su, X., Huang, T., Li, Y., You, S., Wang, F., Qian, C., Zhang, C., Xu, C. (2021). Prioritized Architecture Sampling with Monto-Carlo Tree Search. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Huang,, H., Zhang,, J., Zhang,, J., Wu,, Q., Xu, C. (2021). PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, : International Astronautical Federation, IAF.
Xu, Y., Wang, Y., Han, K., Tang, Y., Jui, S., Xu, C., Xu, C. (2021). ReNAS: Relativistic Evaluation of Neural Architecture Search. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Wang, Y., Xu, C., Du, B. (2021). Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. International Joint Conferences on Artificial Intelligence. [More Information]
Yang, S., Feng, Z., Du, P., Du, B., Xu, C. (2021). Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. 21st IEEE International Conference on Data Mining, ICDM 2021, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. [More Information]
Dong, M., Wang,, Y., Chen,, X., Xu, C. (2021). Towards Stable and Robust AdderNets. NeurIPS 2021, Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Zheng,, M., Wang,, F., You,, S., Qian,, C., Zhang,, C., Wang,, X., Xu, C. (2021). Weakly Supervised Contrastive Learning. 18th IEEE/CVF International Conference on Computer Vision (ICCV 2021), : Springer International Publishing AG.
Zhu, X., Xu, C., Tao, D. (2021). Where and What? Examining Interpretable Disentangled Representations. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

show 24 more

2020

Tang, Y., Wang, Y., Xu, Y., Chen, H., Shi, B., Xu, C., Xu, C., Tian, Q., Xu, C. (2020). A semi-supervised assessor of neural architectures. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, Y., Yang, Z., Wang, Y., Xu, C. (2020). Adapting neural architectures between domains. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., Xu, C. (2020). AdderNet: Do we really need multiplications in deep learning? 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Mei, M., Zhong, Y., He, F., Xu, C. (2020). An innovative multi-label learning based algorithm for city data computing. Geoinformatica, 24(1), 221-245. [More Information]
Tang, Y., Wang, Y., Xu, Y., Shi, B., Xu, C., Xu, C., Xu, C. (2020). Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Yang, Z., Wang, Y., Chen, X., Shi, B., Xu, C., Xu, C., Tian, Q., Xu, C. (2020). CARS: Continuous Evolution for Efficient Neural Architecture Search. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhang, X., Xu, C., Tao, D. (2020). Context Aware Graph Convolution for Skeleton-Based Action Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, Z., Wang, Y., Xu, C., Du, P., Xu, C., Xu, C., Tian, Q. (2020). Discernible Image Compression. 28th ACM Multimedia Conference (MM 2020), New York: Association for Computing Machinery (ACM). [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Xu, J., Zhang, H. (2020). Discriminative Multi-View Privileged Information Learning for Image Re-Ranking. IEEE Transactions on Image Processing, 29, 3490-3505. [More Information]
Chen, H., Wang, Y., Shu, H., Wen, C., Xu, C., Shi, B., Xu, C., Xu, C. (2020). Distilling Portable Generative Adversarial Networks for Image Translation. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Song, D., Xu, C., Jia, X., Chen, Y., Xu, C., Wang, Y. (2020). Efficient residual dense block search for image super-resolution. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Chen, H., Wang, Y., Shu, H., Tang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., Xu, C. (2020). Frequency domain compact 3d convolutional neural networks. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., Xu, C. (2020). GhostNet: More features from cheap operations. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhang, X., Xu, C., Tian, X., Tao, D. (2020). Graph edge convolutional neural networks for skeleton-based action recognition. IEEE Transactions on Neural Networks and Learning Systems, 31(8), 3047-3060. [More Information]
Guo, J., Han, K., Wang, Y., Zhang, C., Yang, Z., Wu, H., Chen, X., Xu, C. (2020). Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, X., Du, B., Zhang, Y., Xu, C., Tao, D. (2020). Iterative Privileged Learning. IEEE Transactions on Neural Networks and Learning Systems, 31(8), 2805-2817. [More Information]
Yang, J., Jia, M., Xu, C., Li, S. (2020). Joint hyperspectral unmixing for urban computing. Geoinformatica, 24(1), 247-265. [More Information]
Xu, Y., Xu, C., Chen, X., Zhang, W., Xu, C., Wang, Y. (2020). Kernel Based Progressive Distillation for Adder Neural Networks. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Zhu, X., Xu, C., Tao, D. (2020). Learning Disentangled Representations with Latent Variation Predictability. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Kong, S., Guo, T., You, S., Xu, C. (2020). Learning student networks with few data. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Chen, X., Xu, C., Yang, X., Tao, D. (2020). Long-Term Video Prediction via Criticization and Retrospection. IEEE Transactions on Image Processing, 29, 7090-7103. [More Information]
Li, Y., Dong, M., Wang, Y., Xu, C. (2020). Neural Architecture Search in A Proxy Validation Loss Landscape. 37th International Conference on Machine Learning (ICML 2020), Vienna: International Machine Learning Society.
Han, J., Zhou, C., Duan, P., Tang, Y., Xu, C., Xu, C., Huang, T., Shi, B. (2020). Neuromorphic Camera Guided High Dynamic Range Imaging. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhang, X., Xu, C., Tao, D. (2020). On Dropping Clusters to Regularize Graph Convolutional Neural Networks. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Guo, T., Xu, C., Huang, J., Wang, Y., Shi, B., Xu, C., Tao, D. (2020). On Positive-Unlabeled Classification in GAN. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, X., Zhang, Y., Wang, Y., Shu, H., Xu, C., Xu, C. (2020). Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. 16th European Conference on Computer Vision (ECCV 2020), Cham: Springer. [More Information]
Tang, Y., You, S., Xu, C., Han, J., Qian, C., Shi, B., Xu, C., Zhang, C. (2020). Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Palo Alto: AAAI Press. [More Information]
Li, X., Du, B., Xu, C., Zhang, Y., Zhang, L., Tao, D. (2020). Robust learning with imperfect privileged information. Artificial Intelligence, 282, 103246. [More Information]
Guo, T., Xu, C., He, S., She, B., Xu, C., Tao, D. (2020). Robust student network learning. IEEE Transactions on Neural Networks and Learning Systems, 31(7), 2455-2468. [More Information]
Tang, Y., Wang, Y., Xu, Y., Tao, D., Xu, C., Xu, C., Xu, C. (2020). SCOP: Scientific Control for Reliable Neural Network Pruning. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Yang, Z., Wang, Y., Han, K., Xu, C., Xu, C., Tao, D., Xu, C. (2020). Searching for Low-Bit Weights in Quantized Neural Networks. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).
Wang, C., Xu, C., Tao, D. (2020). Self-Supervised Pose Adaptation for Cross-Domain Image Animation. IEEE Transactions on Artificial Intelligence, 1(1), 34-46. [More Information]
Xu, J., Hu, K., Xu, C., Tran, D., Wang, Z. (2020). Speaker-aware monaural speech separation. 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020), Shanghai: International Speech Communication Association (ISCA). [More Information]
Han, K., Wang, Y., Xu, Y., Xu, C., Wu, E., Xu, C. (2020). Training Binary Neural Networks through Learning with Noisy Supervision. 37th International Conference on Machine Learning (ICML 2020), Vienna: International Machine Learning Society.
Zhou, C., Zhao, H., Han, J., Xu, C., Xu, C., Huang, T., Shi, B. (2020). UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego: Neural Information Processing Systems (NIPS).

show 32 more

2019

Wang, G., Chen, X., Xu, C. (2019). Adversarial Watermarking to Attack Deep Neural Networks. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhu, X., Xu, C., Hui, L., Lu, C., Tao, D. (2019). Approximated Bilinear Modules for Temporal Modeling. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Han, K., Wang, Y., Shu, H., Liu, C., Xu, C., Xu, C. (2019). Attribute Aware Pooling for Pedestrian Attribute Recognition. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Shu, H., Wang, Y., Jia, X., Han, K., Chen, H., Xu, C., Tian, Q., Xu, C. (2019). Co-evolutionary compression for unpaired image translation. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Dong, M., Chen, H., Wang, Y., Xu, C. (2019). Crafting Efficient Neural Graph of Large Entropy. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Chen, H., Wang, Y., Xu, C., Yang, Z., Liu, C., Shi, B., Xu, C., Xu, C., Tian, Q. (2019). Data-Free Learning of Student Networks. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag. [More Information]
Li, M., Perrier, E., Xu, C. (2019). Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), : Springer Verlag. [More Information]
Du, Y., Fang, M., Yi, J., Xu, C., Cheng, J., Tao, D. (2019). Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Transactions on Multimedia, 21(3), 555-565. [More Information]
Wang, C., Xu, C., Yao, X., Tao, D. (2019). Evolutionary Generative Adversarial Networks. IEEE Transactions on Evolutionary Computation, 23(6), 921-934. [More Information]
Chen, X., Xu, C., Yang, X., Song, L., Tao, D. (2019). Gated-GAN: Adversarial gated networks for multi-collection style transfer. IEEE Transactions on Image Processing, 28(2), 546-560. [More Information]
Guo, D., Xu, C., Tao, D. (2019). Image-Question-Answer Synergistic Network for Visual Dialog. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2019). Learning from Bad Data via Generation. 33rd Conference on Neural Information Processing Systems (NIPS 2019), Vancouver: Neural Information Processing Systems (NIPS).
Liu, C., Wang, Y., Han, K., Xu, C., Xu, C. (2019). Learning Instance-wise Sparsity for Accelerating Deep Models. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Yang, J., Xiong, W., Li, S., Xu, C. (2019). Learning structured and non-redundant representations with deep neural networks. Pattern Recognition, 86, 224-235. [More Information]
Yang, Z., Wang, Y., Chen, H., Liu, C., Shi, B., Xu, C., Xu, C., Xu, C. (2019). Legonet: Efficient convolutional neural networks with LEGO filters. 36th International Conference on Machine Learning (ICML 2019), : SPIE.
Dong, M., Xu, C. (2019). On Retrospecting Human Dynamics with Attention. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao: International Joint Conferences on Artificial Intelligence. [More Information]
Wang, Y., Xu, C., Xu, C., Tao, D. (2019). Packing Convolutional Neural Networks in the Frequency Domain. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(10), 2495-2510. [More Information]
Kong, S., Shi, F., Wang, C., Xu, C. (2019). Point Cloud Generation from Multiple Angles of Voxel Grids. IEEE Access, 7, 160436-160448. [More Information]
Xu, Y., Wang, Y., Chen, H., Han, K., Xu, C., Tao, D., Xu, C. (2019). Positive-Unlabeled Compression on the Cloud. 33rd Conference on Neural Information Processing Systems (NIPS 2019), Vancouver: Neural Information Processing Systems (NIPS).
Shi, F., You, S., Xu, C. (2019). Reinforced molecule generation with heterogeneous states. 19th IEEE International Conference on Data Mining (ICDM 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Ramamohanarao, K., Tao, D. (2019). ROMIR: Robust Multi-view Image Re-ranking. IEEE Transactions On Knowledge And Data Engineering, 31(12), 2393-2406. [More Information]
Feng, Z., Xu, C., Tao, D. (2019). Self-Supervised Representation Learning by Rotation Feature Decoupling. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Feng, Z., Xu, C., Tao, D. (2019). Self-supervised representation learning from multi-domain data. 2019 IEEE International Conference on Computer Vision (ICCV 2019), : Springer Verlag.
Guo, T., Xu, C., Shi, B., Xu, C., Tao, D. (2019). Smooth Deep Image Generator from Noises. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), : Springer Verlag. [More Information]
Dong, M., Xu, C. (2019). Spatial-Temporal attention-based human dynamics retrospection. IEEE Access, 7, 107300-107310. [More Information]

show 22 more

2018

Wang, Y., Xu, C., Xu, C., Tao, D. (2018). Adversarial Learning of Portable Student Networks. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
Chen, X., Xu, C., Yang, X., Tao, D. (2018). Attention-GAN for Object Transfiguration in Wild Images. 15th European Conference on Computer Vision (ECCV 2018), Cham: Springer. [More Information]
Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2018). Cost-Sensitive Feature Selection by Optimizing F-measures. IEEE Transactions on Image Processing, 27(3), 1323-1335. [More Information]
Zhong, Y., Xu, C., Du, B., Zhang, L. (2018). Independent Feature and Label Components for Multi-label Classification. 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
You, S., Xu, C., Xu, C., Tao, D. (2018). Learning with Single-Teacher Multi-Student. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
Du, Y., Xu, C., Tao, D. (2018). Matrix Factorization for Collaborative Budget Allocation. IEEE Transactions on Automation Science and Engineering, 15(4), 1471-1482. [More Information]
Du, B., Wang, S., Xu, C., Wang, N., Zhang, L., Tao, D. (2018). Multi-Task Learning for Blind Source Separation. IEEE Transactions on Image Processing, 27(9), 4219-4231. [More Information]
Zhao, Y., You, X., Yu, S., Xu, C., Yuan, W., Jing, X., Zhang, T., Tao, D. (2018). Multi-view manifold learning with locality alignment. Pattern Recognition, 78, 154-166. [More Information]
You, S., Xu, C., Xu, C. (2018). Online Dictionary Learning with Confidence. 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Wang, C., Xu, C., Wang, C., Tao, D. (2018). Perceptual Adversarial Networks for Image-to-Image Transformation. IEEE Transactions on Image Processing, 27(8), 4066-4079. [More Information]
Li, X., Du, B., Xu, C., Zhang, Y., Zhang, L., Tao, D. (2018). R-SVM+: Robust learning with privileged information. 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm: International Joint Conferences on Artificial Intelligence. [More Information]
He, S., Xu, C., Guo, T., Xu, C., Tao, D. (2018). Reinforced Multi-Label Image Classification by Exploring Curriculum. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), Palo Alto: AAAI Press.
Pang, X., Xu, C., Xu, Y. (2018). Scaling KNN multi-class twin support vector machine via safe instance reduction. Knowledge-Based Systems, 148, 17-30. [More Information]
Wang, Y., Xu, C., Qiu, J., Xu, C., Tao, D. (2018). Towards evolutionary compression. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), New York: Association for Computing Machinery (ACM). [More Information]

show 11 more

2017

Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond filters: Compact feature map for portable deep model. The 34th International Conference on Machine Learning, (ICML 2017), online: Proceedings of Machine Learning Research.
Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA: AAAI Press.
Du, Y., Xu, C., Tao, D. (2017). Collaborative Rating Allocation. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2017). Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA: AAAI Press.
Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). DCT Regularized Extreme Visual Recovery. IEEE Transactions on Image Processing, 26(7), 3360-3371. [More Information]
Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). DCT regularized extreme visual recovery. IEEE Transactions on Image Processing, 26(7), 3360-3371. [More Information]
Li, J., Xu, C., Yang, W., Sun, C., Tao, D. (2017). Discriminative Multi-view Interactive Image Re-ranking. IEEE Transactions on Image Processing, 26(7), 3113-3127. [More Information]
Qiao, M., Liu, L., Yu, J., Xu, C., Tao, D. (2017). Diversified dictionaries for multi-instance learning. Pattern Recognition, 64, 407-416. [More Information]
Liu, M., Xu, C., Xu, C., Tao, D. (2017). Fast SVM Trained by Divide-and-Conquer Anchors. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
You, S., Xu, C., Xu, C., Tao, D. (2017). Learning from multiple teacher networks. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), New York: Association for Computing Machinery (ACM). [More Information]
Xu, Y., Xu, C., Xu, C., Tao, D. (2017). Multi-Positive and Unlabeled Learning. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Du, Y., Xu, C., Tao, D. (2017). Privileged Matrix Factorization for Collaborative Filtering. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
You, S., Xu, C., Wang, Y., Xu, C., Tao, D. (2017). Privileged Multi-label Learning. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]
Wang, C., Wang, C., Xu, C., Tao, D. (2017). Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne: International Joint Conferences on Artificial Intelligence. [More Information]

show 11 more

2016

Wang, Y., Xu, C., You, S., Tao, D., Xu, C. (2016). CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, Barcelona: Neural Information Processing Systems (NIPS).
Xu, C., Wang, G., Liu, X., Guo, D., Liu, T. (2016). Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Transactions on Computers, 65(11), 3502-3508. [More Information]
Xu, C., Liu, T., Tao, D., Xu, C. (2016). Local Rademacher Complexity for Multi-Label Learning. IEEE Transactions on Image Processing, 25(3), 1495-1507. [More Information]
Xu, C., Tao, D., Xu, C. (2016). Robust extreme multi-label learning. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), New York: Association for Computing Machinery (ACM). [More Information]
Li, J., Xu, C., Gong, M., Xing, J., Yang, W., Sun, C. (2016). SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing, 207, 202-212. [More Information]

show 2 more

2015

Xu, C., Tao, D., Xu, C. (2015). Large-margin multi-label causal feature learning. 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin: AAAI Press.
Xu, C., Tao, D., Li, Y., Xu, C. (2015). Large-margin multi-view Gaussian process. Multimedia Systems, 21(2), 147-157. [More Information]
Ding, C., Xu, C., Tao, D. (2015). Multi-Task Pose-Invariant Face Recognition. IEEE Transactions on Image Processing, 24(3), 980-993. [More Information]
Xu, C., Tao, D., Xu, C. (2015). Multi-View Intact Space Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), 2531-2544. [More Information]
Xu, C., Tao, D., Xu, C. (2015). Multi-View Learning with Incomplete Views. IEEE Transactions on Image Processing, 24(12), 5812-5825. [More Information]
Xu, C., Tao, D., Xu, C. (2015). Multi-view self-paced learning for clustering. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires: AAAI Press.

show 3 more

2014

Xu, C., Tao, D., Xu, C. (2014). Large-Margin Multi-View Information Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1559-1572. [More Information]
Xu, C., Tao, D., Xu, C., Rui, Y. (2014). Large-margin weakly supervised dimensionality reduction. 31st International Conference on Machine Learning (ICML 2014), Beijing: International Machine Learning Society.
Chen, E., Qiu, S., Xu, C., Tian, F., Liu, T. (2014). Word embedding: Continuous space representation for natural language. Shuju Caiji Yu Chuli / Journal of Data Acquisition and Processing, 29(1), 19-29.

2013

Xu, C., Tao, D., Li, Y., Xu, C. (2013). Large-margin multi-view Gaussian process for image classification. 5th International Conference on Internet Multimedia Computing and Service (ICIMCS 2013), New York: Association for Computing Machinery (ACM). [More Information]
Luo, Y., Tao, D., Xu, C., Xu, C., Liu, H., Wen, Y. (2013). Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 709-722. [More Information]
Luo, Y., Tao, D., Xu, C., Li, D., Xu, C. (2013). Vector-valued multi-view semi-supervised learning for multi-label image classification. 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue: AAAI Press.

2012

Xu, C., Li, Y., Zhou, C., Xu, C. (2012). Learning to rerank images with enhanced spatial verification. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

Selected Grants

2024

Generative Visual Pre-training on Unlabelled Big Data, Xu C, Sun C, Australian Research Council (ARC)/Discovery Projects (DP)
Deep Adder Networks on Edge Devices, Xu C, Australian Research Council (ARC)/Future Fellowships (FT)

2022

Cracking the Code: AI Gender Bias in the Asia Pacific, Sinpeng A, Boichak O, Xu C, Chia Y, Ford M, DVC Research/Sustainable Development Goal collaboration program

2018

Streaming Label Learning for Leaching Knowledge from Labels on the Fly, Tao D, Xu C, Liu T, Lugosi G, Australian Research Council (ARC)/Discovery Projects (DP)

2017

Multi-view Synergistic Learning for Human Behaviour Analysis, Xu C, Australian Research Council (ARC)/Discovery Early Career Researcher Award (DECRA)

Faculty of Engineering

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