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Associate Professor Josiah Poon

BSc(Hons) Manchester, MSc Deakin, PhD Sydney

Senior Lecturer
School of Computer Science

Phone

+61 2 9351 7185

Fax

+61 2 9351 3838

Email

josiah.poon@sydney.edu.au

Address

J12 - Computer Science Building

The University of Sydney

Websites

Personal Page

School of Computer Science

Research interests

IT academics have been working with hospitals for decades to improve Western medicine. Dr Josiah Poon is working to do the same with Eastern medicine, by applying data mining and other IT techniques to Traditional Chinese Medicine (TCM).

"The core of TCM is the interaction of herbs. There are many different combinations of herbs currently in use for each illness, and I develop algorithms using clinical records to try to discover the most effective treatments.

"I use a measurement called complementarity, which is found in economics. It works on the principle that the whole is larger than the sum of its parts - in this case, two separate herbs on their own may each do nothing, but when put together they may be a powerful treatment.

"My work with a hospital in Beijing has vastly improved the treatments available to its patients, and I am currently working with a research centre in Shanghai to quantify the effectiveness of the drugs it produces.

"While there are fewer TCM practitioners in Australia than there are in China, Australia is the first Western country to introduce the regulation of TCM through registration, which indicates the impact Chinese medicine is having on our health system.

"I am personally passionate about this area because I am from a Chinese background and I don't really see any difference between Western and Eastern medicine - they are both effective ways of aiming to cure illness. However, Eastern medicine tends to be seen as non-scientific, so I am using IT to build evidence of its scientific merit.

"I started working in this field in 2008, and have been at the University of Sydney since 2001. The Chinese Studies Centre here helps to promote this sort of work, which is fantastic."

Teaching and supervision

Current:

INFO1003- Foundations of Information Technology

INFO2150- Health System Data Standards & Analysis

INFO9003- Information Technology for Health Professionals

Previous:

COMP5047 - Pervasive Computing

COMP5214 - Software Development in Java

COMP5318 - Knowledge Discovery and Data Mining

SOFT1001 - Software Development 1

SOFT1002 - Software Development 2

COMP5703- Information Technology Project

COMP5705- Information Technology Short Project

COMP5706- IT Industry Placement Project

Current research students

Project title	Research student
Multimodality Representation for Medical Natural Language Processing	Rina CABRAL
Long Document Comprehension And Reasoning	Yan LI
Machine intelligence in financial decisions	Xiaobin LU

Selected publications

Data Analytics for Traditional Chinese Medicine Research

(TBC, 2014)

Publications

By Type

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Edited Books

Poon, J., Poon, S. (2014). Data Analytics for Traditional Chinese Medicine Research. TBC.
Gao, J., Kwan, P., Poon, J., Poon, S. (2009). Proceedings of the Workshop Advances and Issues in Biomedical Data Mining (AIBDM'09). Thailand: Printing House of Thammasat University - Rangsit Campus.

Book Chapters

Elias, D., Poon, J. (2019). Neighbourhood Blocking for Record Linkage. In Lijun Chang, Junhao Gan, Xin Cao (Eds.), Databases Theory and Applications: 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019 Proceedings, (pp. 57-78). Cham: Springer. [More Information]
Poon, S., Poon, J., Lam, M., Lin, Q., Sze, D., Wu, J., Mok, V., Ching, J., Chan, K., Cheung, W., et al (2016). An Ensemble Approach for Record Matching in Data Linkage. In Andrew Georgiou, Louise K. Schaper and Sue Whetton (Eds.), Digital Health Innovation for Consumers, Clinicians, Connectivity and Community: Selected Papers from the 24th Australian National Health Informatics Conference (HIC 2016), (pp. 113-119). Amsterdam: IOS Press. [More Information]
Chan, K., Poon, J., Poon, S., Jiang, M., Lu, A. (2014). An Overview on Evidence-Based Medicine and Medical Informatics in Traditional Chinese Medicine Practice. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 227-247). TBC. [More Information]
Poon, S., Su, A., Chau, L., Poon, J. (2014). Causal Complexities of TCM Prescriptions: Understanding the Underlying Mechanisms of Herbal Formulation. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 17-38). TBC. [More Information]
Poon, S., Goyal, S., Cheng, A., Poon, J. (2014). Searching for Evidence in Traditional Chinese Medicine Research: A Review and New Opportunities. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 1-16). TBC. [More Information]
Weng, C., Poon, J. (2010). CODE: A Data Complexity Framework for Imbalanced Datasets. In Theeramunkong, Nattee, Adeodato, Chawla, Christen, Lenca, Poon, Williams (Eds.), New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops - Lecture Notes in Artificial Intelligence - LNAI Volume 5669, (pp. 16-27). Berlin Heidelberg: Springer. [More Information]

show 3 more

Journals

Luo, S., Ivison, H., Han, C., Poon, J. (2024). Local Interpretations for Explainable Natural Language Processing: A Survey. ACM Computing Surveys, 56(9), 232. [More Information]
Yang, J., Han, S., Poon, J. (2022). A survey on extraction of causal relations from natural language text. Knowledge and Information Systems, 64(5), 1161-1186. [More Information]
Alshuwaier, F., Areshey, A., Poon, J. (2022). Applications and Enhancement of Document-Based Sentiment Analysis in Deep learning Methods: Systematic Literature Review. Intelligent Systems with Applications, 15. [More Information]
Zou, Q., Yang, K., Shu, Z., Chang, K., Zheng, Q., Zheng, Y., Lu, K., Xu, N., Tian, H., Li, X., Poon, J., Poon, S., et al (2022). Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts. BioMed Research International, 2022, 3524090. [More Information]
Wang, Z., Poon, J., Wang, S., Sun, S., Poon, S. (2021). A novel method for clinical risk prediction with low-quality data. Artificial Intelligence in Medicine, 114, article number 102052. [More Information]
Monshi, M., Poon, J., Chung, V., Monshi, F. (2021). CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR. Computers in Biology and Medicine, 133, 104375. [More Information]
Shu, Z., Zhou, Y., Chang, K., Liu, J., Min, X., Zhang, Q., Sun, J., Xiong, Y., Zou, Q., Zheng, Q., Poon, J., et al (2020). Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases. Frontiers of Medicine, 14(6), 760-775. [More Information]
Monshi, M., Poon, J., Chung, V. (2020). Deep learning in generating radiology reports: A survey. Artificial Intelligence in Medicine, 106, 101878. [More Information]
Zhou, Q., Pei, J., Poon, J., Lau, A., Zhang, L., Wang, Y., Liu, C., Huang, L. (2019). Worldwide research trends on aristolochic acids (1957–2017): Suggestions for researchers. PloS One, 14(5), 1-23. [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2017). Better rulesets by removing redundant specialisations and generalisations in association rule mining. Australasian Journal of Information Systems, 21, 1-24. [More Information]
Ng, M., Lau, T., Fan, K., Xu, Q., Poon, J., Poon, S., Lam, M., Chau, F., Sze, D. (2017). Prediction of Radix Astragali Immunomodulatory Effect of CD80 Expression from Chromatograms by Quantitative Pattern-Activity Relationship. BioMed Research International, 2017, 1-8. [More Information]
Liang, Z., Huang, X., Oh, B., Poon, J. (2015). Bioinformatics/Medical Informatics in Traditional Medicine and Integrative Medicine. The Scientific World Journal, 2015, 460490. [More Information]
Chen, H., Poon, J., Poon, S., Cui, A., Fan, K., Sze, D. (2015). Ensemble Learning for Prediction of the Bioactivity Capacity of Herbal Medicines from Chromatographic Finferprints. BMC Bioinformatics, 16(12), 1-8. [More Information]
Li, G., Chung, K., Poon, J. (2015). Evidence-based patient classification for traditional Chinese medicine. Evidence-Based Complementary and Alternative Medicine, 2015, 1-2. [More Information]
Cui, L., Ling, Z., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K. (2015). Generalized Gaussian reference curve measurement model for high-performance liquid chromatography with diode array detector separation and its solution by multi-target intermittent particle swarm optimization. Journal of Chemometrics, 29(3), 146-153. [More Information]
Chen, J., Poon, J., Poon, S., Xu, L., Sze, D. (2015). Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evidence-Based Complementary and Alternative Medicine, 2015, 1-14. [More Information]
Cui, L., Ling, Z., Poon, J., Poon, S., Gao, J., Kwan, P. (2014). A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing, 2014, 1-10. [More Information]
Cui, A., Ling, Z., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K. (2014). A parallel model of independent component analysis constrained by a 5-parameter reference curve and its solution by multi-target particle swarm optimization. Analytical Methods, 6(8), 2679-2686. [More Information]
Cui, L., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K., Ling, Z. (2014). An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm. BMC Bioinformatics, 15(Suppl 12), 1-10. [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2014). Increased Workload for Systematic Review Literature Searches of Diagnostic Tests Compared With Treatments: Challenges and Opportunities. JMIR Medical Informatics, 2(1), 1-11. [More Information]
Yang, M., Poon, J., Wang, S., Jiao, L., Poon, S., Cui, A., Chen, P., Sze, D., Xu, L. (2013). Application of Genetic Algorithm for Discovery of Core Effective Formulae in TCM Clinical Data. Computational and Mathematical Methods in Medicine, 2013, 1-16. [More Information]
Kim, E., Chen, Y., Huang, J., Li, K., Razmovski-Naumovski, V., Poon, J., Chan, K., Roufogalis, B., McLachlan, A., Mo, S., Liu, Z., Li, G., et al (2013). Evidence-based toxicity evaluation and scheduling of Chinese herbal medicines. Journal of Ethnopharmacology, 146(1), 40-61. [More Information]
Poon, S., Poon, J., McGrane, M., Zhou, X., Kwan, P., Zhang, R., Liu, B., Gao, J., Loy, C., Chan, K., Sze, D. (2011). A novel approach in discovering significant interactions from TCM patient prescription data. International Journal of Data Mining and Bioinformatics, 5(4), 353-368. [More Information]
Poon, J., Luo, Z., Zhang, R. (2011). Feature respresentation in the biclustering of symptom-herb relationship in Chinese medicine. Chinese Journal of Integrative Medicine, 17(9), 663-668. [More Information]
Chan, J., Koprinska, I., Poon, J. (2008). Semi-supervised classification using bridging. International Journal on Artificial Intelligence Tools, 17(3), 415-431. [More Information]
Koprinska, I., Poon, J., Clark, J., Chan, J. (2006). Learning to classify e-mail. Information Sciences, Online Article, 1-21. [More Information]
Holden, S., Kay, J., Poon, J., Yacef, K. (2005). Workflow-Based Personalised Document Delivery. International Journal on E-Learning, 4(1), 131-148.

show 24 more

Conferences

Chai,, Z., Wan,, X., Han, S., Poon, J. (2023). Visual Question Generation Under Multi-granularity Cross-Modal Interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), : Springer Verlag.
Long, S., Han, S., Wan, X., Poon, J. (2022). GraDual: Graph-based Dual-modal Representation for Image-Text Matching. Macro In Conference. [More Information]
Wang, K., Han, S., Poon, J. (2022). InducT-GCN: Inductive Graph Convolutional Networks for Text Classification. Proceedings - International Conference on Pattern Recognition, : Institute of Electrical and Electronics Engineers Inc.
Han, S., Long, S., Li, H., Weld, H., Poon, J. (2021). Bi-directional joint neural networks for intent classification and slot filling. 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno: International Speech Communication Association (ISCA). [More Information]
Weld, H., Huang, G., Lee, J., Zhang, T., Wang, K., Guo, X., Long, S., Poon, J., Han, S. (2021). CONDA: A CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection. Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Online: The Association for Computational Linguistics.
Lee, J., Youn, H., Stevens, N., Poon, J., Han, S. (2021). FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), New York: Association for Computing Machinery (ACM). [More Information]
Han, S., Lim, T., Long, S., Burgstaller, B., Poon, J. (2021). GLocal-K: Global and Local Kernels for Recommender Systems. 30th ACM International Conference on Information and Knowledge Management, CIKM 2021, New York: Association for Computing Machinery (ACM). [More Information]
Monshi, M., Poon, J., Chung, V., Monshi, F. (2021). Labeling Chest X-Ray Reports Using Deep Learning. 30th International Conference on Artificial Neural Networks (ICANN 2021), Cham: Springer Nature Switzerland. [More Information]
Wang, Z., Poon, J., Yang, J., Poon, S. (2021). Warfarin Dose Estimation on High-dimensional and Incomplete Data. 54th Annual Hawaii International Conference on System Sciences (HICSS 2021), Manoa: Hawaii International Conference on System Sciences. [More Information]
Qi, L., Khushi, M., Poon, J. (2020). Event-Driven LSTM for Forex Price Prediction. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia: IEEE Computer Society. [More Information]
Luo, S., Han, S., Sun, K., Poon, J. (2020). REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering. 27th International Conference on Neural Information Processing (ICONIP 2020), Cham: Springer. [More Information]
Han, S., Luo, S., Wang, K., Poon, J. (2020). VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks. COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference, : Springer Verlag.
Wang, Z., Poon, J., Sun, S., Poon, S. (2019). Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Monshi, M., Poon, J., Chung, V. (2019). Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays. 26th International Conference on Neural Information Processing (ICONIP 2019), Cham: Springer International Publishing. [More Information]
Han, S., Lin, Y., Long, S., Poon, J. (2019). Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer. 26th International Conference on Neural Information Processing (ICONIP 2019), Cham: Springer International Publishing. [More Information]
Wang, Z., Poon, J., Poon, S. (2019). TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines. Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, : IEEE Computer Society.
Wang, Z., Sun, S., Poon, J., Poon, S. (2018). CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018), Madrid: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Alshuwaier, F., Areshey, A., Poon, J. (2017). A comparative study of the current technologies and approaches of relation extraction in biomedical literature using text mining. 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS 2017), Bahrain: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2016). Identification of Interesting Rules by Pruning Redundant Specialisations and Generalisations. The 14th Australian Data Mining Conference (AusDM 2016), Canberra: Conferences in Research and Practice in Information Technology (CRPIT).
Wang, J., Poon, J. (2016). Relation extraction from Traditional Chinese Medicine journal publication. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), Shenzhen: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Poon, J., Poon, S., Cui, A., Sze, D. (2014). Evaluation of herbal medicine's bioactivity capacity prediction algorithms. 2014 IEEE International Conference Bioinformatics and Biomedicine (IEEE BIBM 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Cui, A., Poon, J., Poon, S., Gao, J., Kwan, P., Ling, Z. (2014). Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization. 2014 IEEE International Conference Bioinformatics and Biomedicine (IEEE BIBM 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Poon, J., Shih, I., Poon, S., Sze, D. (2013). A Study of Fitness Functions in Evolutionary Algorithms on Symptom-Herb Relationship Discovery. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Su, A., Poon, S., Poon, J. (2013). Discovering Causal Patterns in TCM Clinical Prescription Data Using Set-Theoretic Approach. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Cui, A., Poon, J., Poon, S., Fan, K., Chen, H., Gao, J., Kwan, P., Ling, Z. (2013). Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C., Leeflang, M. (2013). Partially automated literature screening for systematic reviews by modelling non-relevant articles. Third Australasian Workshop on Artificial Intelligence in Health (AIH 2013) in conjuntion with the 26th Australasian Joint Conference on Artificial Intelligence (AI 2013), Dunedin, New Zealand: CEUR-WS.
Poon, S., Chan, J., Poon, J., Land, L. (2013). Patterned Interactions In Complex Systems: The Role Of Information Technology For Re-Shaping Organizational Structures. 21st European Conference on Information Systems ECIS 2013 - Beyond Borders, Utrecht: European Conference on Information Systems.
Poon, J., Yin, D., Poon, S., Zhang, R., Liu, B., Sze, D. (2012). Co-evolution of symptom-herb relationship. 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Poon, J., Poon, S., Chan, K., Wong, K., Sze, D. (2012). Evaluation of Herbal Chromatographic Fingerprint Identification Systems. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Poon, S., Fan, K., Poon, J., Loy, C., Chan, K., Kuan, P., Zhou, X., Gao, J., Zhang, R., Wang, Y., et al (2011). Analysis of herbal formulation in TCM: Infertility as a case study. IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW 2011), Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
McGrane, M., Poon, S., Poon, J., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P., Sze, D., et al (2010). Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops BIBMW 2010, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Poon, S., Poon, J., Peters, G., Gupta, N., Land, L. (2010). Complementary organizational mechanisms: a case study on information technology business value. 18th European Conference on Information Systems, South Africa: University of Pretoria.
Theeramunkong, T., Nattee, C., Adeodato, P., Chawla, N., Christen, P., Lenca, P., Poon, J., Williams, G. (2010). New Frontiers in Applied Data Mining - PAKDD 2009 International Workshops. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Berlin Heidelberg: Springer.
Zhou, X., Poon, J., Kwan, P., Zhang, R., Wang, Y., Poon, S., Liu, B., Sze, D. (2010). Novel-Two-Stage Analytic Approach in Extraction of Strong Herb-Herb Interactions in TCM Clinical Treatment of Insomnia. 2nd International Conference on Medical Biometrics (ICMB 2010), Germany: Springer. [More Information]
Poon, J., Poon, S., Yin, D., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P., Sze, D., et al (2010). Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops BIBMW 2010, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Weng, C., Poon, J. (2009). Reference Point Transformation for Visualisation. 8th Australasian Data Mining Conference AusDM 2009, Australia: Australian Computer Society.
Petersen, H., Poon, J. (2009). Reworking Bridging for Use within the Image Domain. 13th International Conference on Computer Analysis of Images and Patterns CAIP 2009, Germany: Springer. [More Information]
Poon, J., Weng, C. (2008). A New Evaluation Measure for Imbalanced Datasets. The Seventh Australasian Data Mining Conference (AusDM 2008), Sydney NSW, Australia: Australian Computer Society.
Poon, S., Fan, G., Poon, J., Young, R. (2008). Analysis of structural change point in multivariate regression models: An application on IT productivity impact. 8th IEEE International Conference on Computer and Information Technology, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Land, L., Pang, V., Cheng, A., Chik, C., Poon, S., Poon, J., Attar, S. (2008). Explaining sustainability in healthcare - A preliminary study of an aged care organisation in Australia. Pacific Asia Conference on Information Systems (PACIS 2008), Hong Kong: Department of Information Systems, City University of Hong Kong.
Chan, J., Poon, J., Koprinska, I. (2007). Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging. The Twentieth International Florida Artificial Intelligence Research Society Conference, Menlo Park, California: AAAI Press.
Land, L., Poon, S., Poon, J. (2007). Guidelines and an Example of Applying ELeRS - A Framework for Scoping E-Learning Research in Healthcare. 18th Australasian Conference on Information Systems (ACIS 2007), Toowoomba, Australia: University of Southern Queensland.
Weng, C., Poon, J. (2006). A Data Complexity Analysis on Imbalanced Datasets and an Alternative Imbalance Recovering Strategy. 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Los Alamitos, CA USA: Institute of Electrical and Electronics Engineers (IEEE).
Huang, X., Huang, Y., Wen, M., An, A., Liu, Y., Poon, J. (2006). Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. 2006 IEEE International Conference on Data Mining (ICDM 2006), USA: Institute of Electrical and Electronics Engineers (IEEE).
Weng, C., Poon, J. (2005). Cross Training and Under Sampling in Categorization of Company Announcements. Tenth Australasian Document Computing Symposium - ADCS 2005, Sydney, Australia: School of Information Technologies, University of Sydney.
Buchholz, M., Pfluger, D., Poon, J. (2004). Application Of Machine Learning Techniques To The Re-Ranking Of Search Results. 27th Annual German Conference on AI, KI2004. Springer.
Chan, J., Koprinska, I., Poon, J. (2004). Co-Training On Textual Documents With A Single Natural Feature Set. The Ninth Australasian Document Computing Symposium (ADCS 2004), Victoria, Australia: Department of Computer Science and Software Engineering, University of Melbourne.
Chan, J., Koprinska, I., Poon, J. (2004). Co-Training With A Single Natural Feature Set Applied To Email Classification. 2004 IEEE/WIC ACM International Conference on Web Intelligence, Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE).
Clark, J., Koprinska, I., Poon, J. (2003). A neural network based approach to automatee e-mail classification. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Koprinska, I., Trieu, F., Poon, J., Clark, J. (2003). E-mail classification by decision forests. Eighth Australasian Document Computing Symposium, Canberra: CSIRO ICT Centre.
Mak, H., Koprinska, I., Poon, J. (2003). INTIMATE: A web-based movie recommender using text categorization. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Clark, J., Koprinska, I., Poon, J. (2003). Linger - a smart personal assistant for e-mail classification. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Davis, J., Kummerfeld, R., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2003). Using workflow, user modeling and turoring strategies for just-in-time docuemtn delivery. Shaping the future of learning through intelligent Technologies, Amsterdam: IOS Press.
Davis, J., Kay, J., Kummerfeld, R., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2003). Workflow, user modeling and tutoring strategies for just-in-time document delivery. AIED 2003: Artificial Intelligence in Education, Sydney, AU: University of Sydney.
Davis, J., Kay, J., Lin, X., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2002). Workflow based Just-in-time Training. ADCS '02 The Seventh Australasian Document Computing Symposium, Sydney, Australia: School of Information Technologies, University of Sydney.
Poon, J., Prasher,, S. (2001). A Hybrid Approach to Support Interactive Data Mining. Genetic and Evolutionary Computation Conference, Australia: UNSW Australian Defence Force Academy.
Poon, J., Nunn,, C. (2001). Browsing the Web from a Speech-Based Interface. INTERACT 2001 Eighth IFIP Conference on Human-Computer Interaction, Australia: Ads & Adea.

show 54 more

By Year

Expand all

2024

Luo, S., Ivison, H., Han, C., Poon, J. (2024). Local Interpretations for Explainable Natural Language Processing: A Survey. ACM Computing Surveys, 56(9), 232. [More Information]

2023

Chai,, Z., Wan,, X., Han, S., Poon, J. (2023). Visual Question Generation Under Multi-granularity Cross-Modal Interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), : Springer Verlag.

2022

Yang, J., Han, S., Poon, J. (2022). A survey on extraction of causal relations from natural language text. Knowledge and Information Systems, 64(5), 1161-1186. [More Information]
Alshuwaier, F., Areshey, A., Poon, J. (2022). Applications and Enhancement of Document-Based Sentiment Analysis in Deep learning Methods: Systematic Literature Review. Intelligent Systems with Applications, 15. [More Information]
Long, S., Han, S., Wan, X., Poon, J. (2022). GraDual: Graph-based Dual-modal Representation for Image-Text Matching. Macro In Conference. [More Information]
Wang, K., Han, S., Poon, J. (2022). InducT-GCN: Inductive Graph Convolutional Networks for Text Classification. Proceedings - International Conference on Pattern Recognition, : Institute of Electrical and Electronics Engineers Inc.
Zou, Q., Yang, K., Shu, Z., Chang, K., Zheng, Q., Zheng, Y., Lu, K., Xu, N., Tian, H., Li, X., Poon, J., Poon, S., et al (2022). Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts. BioMed Research International, 2022, 3524090. [More Information]

show 2 more

2021

Wang, Z., Poon, J., Wang, S., Sun, S., Poon, S. (2021). A novel method for clinical risk prediction with low-quality data. Artificial Intelligence in Medicine, 114, article number 102052. [More Information]
Han, S., Long, S., Li, H., Weld, H., Poon, J. (2021). Bi-directional joint neural networks for intent classification and slot filling. 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021, Brno: International Speech Communication Association (ISCA). [More Information]
Weld, H., Huang, G., Lee, J., Zhang, T., Wang, K., Guo, X., Long, S., Poon, J., Han, S. (2021). CONDA: A CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection. Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Online: The Association for Computational Linguistics.
Monshi, M., Poon, J., Chung, V., Monshi, F. (2021). CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR. Computers in Biology and Medicine, 133, 104375. [More Information]
Lee, J., Youn, H., Stevens, N., Poon, J., Han, S. (2021). FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), New York: Association for Computing Machinery (ACM). [More Information]
Han, S., Lim, T., Long, S., Burgstaller, B., Poon, J. (2021). GLocal-K: Global and Local Kernels for Recommender Systems. 30th ACM International Conference on Information and Knowledge Management, CIKM 2021, New York: Association for Computing Machinery (ACM). [More Information]
Monshi, M., Poon, J., Chung, V., Monshi, F. (2021). Labeling Chest X-Ray Reports Using Deep Learning. 30th International Conference on Artificial Neural Networks (ICANN 2021), Cham: Springer Nature Switzerland. [More Information]
Wang, Z., Poon, J., Yang, J., Poon, S. (2021). Warfarin Dose Estimation on High-dimensional and Incomplete Data. 54th Annual Hawaii International Conference on System Sciences (HICSS 2021), Manoa: Hawaii International Conference on System Sciences. [More Information]

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2020

Shu, Z., Zhou, Y., Chang, K., Liu, J., Min, X., Zhang, Q., Sun, J., Xiong, Y., Zou, Q., Zheng, Q., Poon, J., et al (2020). Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases. Frontiers of Medicine, 14(6), 760-775. [More Information]
Monshi, M., Poon, J., Chung, V. (2020). Deep learning in generating radiology reports: A survey. Artificial Intelligence in Medicine, 106, 101878. [More Information]
Qi, L., Khushi, M., Poon, J. (2020). Event-Driven LSTM for Forex Price Prediction. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia: IEEE Computer Society. [More Information]
Luo, S., Han, S., Sun, K., Poon, J. (2020). REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering. 27th International Conference on Neural Information Processing (ICONIP 2020), Cham: Springer. [More Information]
Han, S., Luo, S., Wang, K., Poon, J. (2020). VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks. COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference, : Springer Verlag.

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2019

Wang, Z., Poon, J., Sun, S., Poon, S. (2019). Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Monshi, M., Poon, J., Chung, V. (2019). Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rays. 26th International Conference on Neural Information Processing (ICONIP 2019), Cham: Springer International Publishing. [More Information]
Han, S., Lin, Y., Long, S., Poon, J. (2019). Low Resource Named Entity Recognition Using Contextual Word Representation and Neural Cross-Lingual Knowledge Transfer. 26th International Conference on Neural Information Processing (ICONIP 2019), Cham: Springer International Publishing. [More Information]
Elias, D., Poon, J. (2019). Neighbourhood Blocking for Record Linkage. In Lijun Chang, Junhao Gan, Xin Cao (Eds.), Databases Theory and Applications: 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019 Proceedings, (pp. 57-78). Cham: Springer. [More Information]
Wang, Z., Poon, J., Poon, S. (2019). TCM Translator: A Sequence Generation Approach for Prescribing Herbal Medicines. Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, : IEEE Computer Society.
Zhou, Q., Pei, J., Poon, J., Lau, A., Zhang, L., Wang, Y., Liu, C., Huang, L. (2019). Worldwide research trends on aristolochic acids (1957–2017): Suggestions for researchers. PloS One, 14(5), 1-23. [More Information]

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2018

Wang, Z., Sun, S., Poon, J., Poon, S. (2018). CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018), Madrid: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2017

Alshuwaier, F., Areshey, A., Poon, J. (2017). A comparative study of the current technologies and approaches of relation extraction in biomedical literature using text mining. 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS 2017), Bahrain: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2017). Better rulesets by removing redundant specialisations and generalisations in association rule mining. Australasian Journal of Information Systems, 21, 1-24. [More Information]
Ng, M., Lau, T., Fan, K., Xu, Q., Poon, J., Poon, S., Lam, M., Chau, F., Sze, D. (2017). Prediction of Radix Astragali Immunomodulatory Effect of CD80 Expression from Chromatograms by Quantitative Pattern-Activity Relationship. BioMed Research International, 2017, 1-8. [More Information]

2016

Poon, S., Poon, J., Lam, M., Lin, Q., Sze, D., Wu, J., Mok, V., Ching, J., Chan, K., Cheung, W., et al (2016). An Ensemble Approach for Record Matching in Data Linkage. In Andrew Georgiou, Louise K. Schaper and Sue Whetton (Eds.), Digital Health Innovation for Consumers, Clinicians, Connectivity and Community: Selected Papers from the 24th Australian National Health Informatics Conference (HIC 2016), (pp. 113-119). Amsterdam: IOS Press. [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2016). Identification of Interesting Rules by Pruning Redundant Specialisations and Generalisations. The 14th Australian Data Mining Conference (AusDM 2016), Canberra: Conferences in Research and Practice in Information Technology (CRPIT).
Wang, J., Poon, J. (2016). Relation extraction from Traditional Chinese Medicine journal publication. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), Shenzhen: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2015

Liang, Z., Huang, X., Oh, B., Poon, J. (2015). Bioinformatics/Medical Informatics in Traditional Medicine and Integrative Medicine. The Scientific World Journal, 2015, 460490. [More Information]
Chen, H., Poon, J., Poon, S., Cui, A., Fan, K., Sze, D. (2015). Ensemble Learning for Prediction of the Bioactivity Capacity of Herbal Medicines from Chromatographic Finferprints. BMC Bioinformatics, 16(12), 1-8. [More Information]
Li, G., Chung, K., Poon, J. (2015). Evidence-based patient classification for traditional Chinese medicine. Evidence-Based Complementary and Alternative Medicine, 2015, 1-2. [More Information]
Cui, L., Ling, Z., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K. (2015). Generalized Gaussian reference curve measurement model for high-performance liquid chromatography with diode array detector separation and its solution by multi-target intermittent particle swarm optimization. Journal of Chemometrics, 29(3), 146-153. [More Information]
Chen, J., Poon, J., Poon, S., Xu, L., Sze, D. (2015). Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evidence-Based Complementary and Alternative Medicine, 2015, 1-14. [More Information]

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2014

Cui, L., Ling, Z., Poon, J., Poon, S., Gao, J., Kwan, P. (2014). A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization. Applied Computational Intelligence and Soft Computing, 2014, 1-10. [More Information]
Cui, A., Ling, Z., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K. (2014). A parallel model of independent component analysis constrained by a 5-parameter reference curve and its solution by multi-target particle swarm optimization. Analytical Methods, 6(8), 2679-2686. [More Information]
Cui, L., Poon, J., Poon, S., Chen, H., Gao, J., Kwan, P., Fan, K., Ling, Z. (2014). An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm. BMC Bioinformatics, 15(Suppl 12), 1-10. [More Information]
Chan, K., Poon, J., Poon, S., Jiang, M., Lu, A. (2014). An Overview on Evidence-Based Medicine and Medical Informatics in Traditional Chinese Medicine Practice. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 227-247). TBC. [More Information]
Poon, S., Su, A., Chau, L., Poon, J. (2014). Causal Complexities of TCM Prescriptions: Understanding the Underlying Mechanisms of Herbal Formulation. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 17-38). TBC. [More Information]
Poon, J., Poon, S. (2014). Data Analytics for Traditional Chinese Medicine Research. TBC.
Chen, H., Poon, J., Poon, S., Cui, A., Sze, D. (2014). Evaluation of herbal medicine's bioactivity capacity prediction algorithms. 2014 IEEE International Conference Bioinformatics and Biomedicine (IEEE BIBM 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C. (2014). Increased Workload for Systematic Review Literature Searches of Diagnostic Tests Compared With Treatments: Challenges and Opportunities. JMIR Medical Informatics, 2(1), 1-11. [More Information]
Poon, S., Goyal, S., Cheng, A., Poon, J. (2014). Searching for Evidence in Traditional Chinese Medicine Research: A Review and New Opportunities. In Not known (Eds.), Data Analytics for Traditional Chinese Medicine Research, (pp. 1-16). TBC. [More Information]
Cui, A., Poon, J., Poon, S., Gao, J., Kwan, P., Ling, Z. (2014). Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization. 2014 IEEE International Conference Bioinformatics and Biomedicine (IEEE BIBM 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

show 7 more

2013

Poon, J., Shih, I., Poon, S., Sze, D. (2013). A Study of Fitness Functions in Evolutionary Algorithms on Symptom-Herb Relationship Discovery. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, M., Poon, J., Wang, S., Jiao, L., Poon, S., Cui, A., Chen, P., Sze, D., Xu, L. (2013). Application of Genetic Algorithm for Discovery of Core Effective Formulae in TCM Clinical Data. Computational and Mathematical Methods in Medicine, 2013, 1-16. [More Information]
Su, A., Poon, S., Poon, J. (2013). Discovering Causal Patterns in TCM Clinical Prescription Data Using Set-Theoretic Approach. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kim, E., Chen, Y., Huang, J., Li, K., Razmovski-Naumovski, V., Poon, J., Chan, K., Roufogalis, B., McLachlan, A., Mo, S., Liu, Z., Li, G., et al (2013). Evidence-based toxicity evaluation and scheduling of Chinese herbal medicines. Journal of Ethnopharmacology, 146(1), 40-61. [More Information]
Cui, A., Poon, J., Poon, S., Fan, K., Chen, H., Gao, J., Kwan, P., Ling, Z. (2013). Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013), Piscataway, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Petersen, H., Poon, J., Poon, S., Loy, C., Leeflang, M. (2013). Partially automated literature screening for systematic reviews by modelling non-relevant articles. Third Australasian Workshop on Artificial Intelligence in Health (AIH 2013) in conjuntion with the 26th Australasian Joint Conference on Artificial Intelligence (AI 2013), Dunedin, New Zealand: CEUR-WS.
Poon, S., Chan, J., Poon, J., Land, L. (2013). Patterned Interactions In Complex Systems: The Role Of Information Technology For Re-Shaping Organizational Structures. 21st European Conference on Information Systems ECIS 2013 - Beyond Borders, Utrecht: European Conference on Information Systems.

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2012

Poon, J., Yin, D., Poon, S., Zhang, R., Liu, B., Sze, D. (2012). Co-evolution of symptom-herb relationship. 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chen, H., Poon, J., Poon, S., Chan, K., Wong, K., Sze, D. (2012). Evaluation of Herbal Chromatographic Fingerprint Identification Systems. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2011

Poon, S., Poon, J., McGrane, M., Zhou, X., Kwan, P., Zhang, R., Liu, B., Gao, J., Loy, C., Chan, K., Sze, D. (2011). A novel approach in discovering significant interactions from TCM patient prescription data. International Journal of Data Mining and Bioinformatics, 5(4), 353-368. [More Information]
Poon, S., Fan, K., Poon, J., Loy, C., Chan, K., Kuan, P., Zhou, X., Gao, J., Zhang, R., Wang, Y., et al (2011). Analysis of herbal formulation in TCM: Infertility as a case study. IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW 2011), Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Poon, J., Luo, Z., Zhang, R. (2011). Feature respresentation in the biclustering of symptom-herb relationship in Chinese medicine. Chinese Journal of Integrative Medicine, 17(9), 663-668. [More Information]

2010

McGrane, M., Poon, S., Poon, J., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P., Sze, D., et al (2010). Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops BIBMW 2010, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Weng, C., Poon, J. (2010). CODE: A Data Complexity Framework for Imbalanced Datasets. In Theeramunkong, Nattee, Adeodato, Chawla, Christen, Lenca, Poon, Williams (Eds.), New Frontiers in Applied Data Mining: PAKDD 2009 International Workshops - Lecture Notes in Artificial Intelligence - LNAI Volume 5669, (pp. 16-27). Berlin Heidelberg: Springer. [More Information]
Poon, S., Poon, J., Peters, G., Gupta, N., Land, L. (2010). Complementary organizational mechanisms: a case study on information technology business value. 18th European Conference on Information Systems, South Africa: University of Pretoria.
Theeramunkong, T., Nattee, C., Adeodato, P., Chawla, N., Christen, P., Lenca, P., Poon, J., Williams, G. (2010). New Frontiers in Applied Data Mining - PAKDD 2009 International Workshops. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Berlin Heidelberg: Springer.
Zhou, X., Poon, J., Kwan, P., Zhang, R., Wang, Y., Poon, S., Liu, B., Sze, D. (2010). Novel-Two-Stage Analytic Approach in Extraction of Strong Herb-Herb Interactions in TCM Clinical Treatment of Insomnia. 2nd International Conference on Medical Biometrics (ICMB 2010), Germany: Springer. [More Information]
Poon, J., Poon, S., Yin, D., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P., Sze, D., et al (2010). Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops BIBMW 2010, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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2009

Gao, J., Kwan, P., Poon, J., Poon, S. (2009). Proceedings of the Workshop Advances and Issues in Biomedical Data Mining (AIBDM'09). Thailand: Printing House of Thammasat University - Rangsit Campus.
Weng, C., Poon, J. (2009). Reference Point Transformation for Visualisation. 8th Australasian Data Mining Conference AusDM 2009, Australia: Australian Computer Society.
Petersen, H., Poon, J. (2009). Reworking Bridging for Use within the Image Domain. 13th International Conference on Computer Analysis of Images and Patterns CAIP 2009, Germany: Springer. [More Information]

2008

Poon, J., Weng, C. (2008). A New Evaluation Measure for Imbalanced Datasets. The Seventh Australasian Data Mining Conference (AusDM 2008), Sydney NSW, Australia: Australian Computer Society.
Poon, S., Fan, G., Poon, J., Young, R. (2008). Analysis of structural change point in multivariate regression models: An application on IT productivity impact. 8th IEEE International Conference on Computer and Information Technology, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Land, L., Pang, V., Cheng, A., Chik, C., Poon, S., Poon, J., Attar, S. (2008). Explaining sustainability in healthcare - A preliminary study of an aged care organisation in Australia. Pacific Asia Conference on Information Systems (PACIS 2008), Hong Kong: Department of Information Systems, City University of Hong Kong.
Chan, J., Koprinska, I., Poon, J. (2008). Semi-supervised classification using bridging. International Journal on Artificial Intelligence Tools, 17(3), 415-431. [More Information]

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2007

Chan, J., Poon, J., Koprinska, I. (2007). Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging. The Twentieth International Florida Artificial Intelligence Research Society Conference, Menlo Park, California: AAAI Press.
Land, L., Poon, S., Poon, J. (2007). Guidelines and an Example of Applying ELeRS - A Framework for Scoping E-Learning Research in Healthcare. 18th Australasian Conference on Information Systems (ACIS 2007), Toowoomba, Australia: University of Southern Queensland.

2006

Weng, C., Poon, J. (2006). A Data Complexity Analysis on Imbalanced Datasets and an Alternative Imbalance Recovering Strategy. 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Los Alamitos, CA USA: Institute of Electrical and Electronics Engineers (IEEE).
Huang, X., Huang, Y., Wen, M., An, A., Liu, Y., Poon, J. (2006). Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. 2006 IEEE International Conference on Data Mining (ICDM 2006), USA: Institute of Electrical and Electronics Engineers (IEEE).
Koprinska, I., Poon, J., Clark, J., Chan, J. (2006). Learning to classify e-mail. Information Sciences, Online Article, 1-21. [More Information]

2005

Weng, C., Poon, J. (2005). Cross Training and Under Sampling in Categorization of Company Announcements. Tenth Australasian Document Computing Symposium - ADCS 2005, Sydney, Australia: School of Information Technologies, University of Sydney.
Holden, S., Kay, J., Poon, J., Yacef, K. (2005). Workflow-Based Personalised Document Delivery. International Journal on E-Learning, 4(1), 131-148.

2004

Buchholz, M., Pfluger, D., Poon, J. (2004). Application Of Machine Learning Techniques To The Re-Ranking Of Search Results. 27th Annual German Conference on AI, KI2004. Springer.
Chan, J., Koprinska, I., Poon, J. (2004). Co-Training On Textual Documents With A Single Natural Feature Set. The Ninth Australasian Document Computing Symposium (ADCS 2004), Victoria, Australia: Department of Computer Science and Software Engineering, University of Melbourne.
Chan, J., Koprinska, I., Poon, J. (2004). Co-Training With A Single Natural Feature Set Applied To Email Classification. 2004 IEEE/WIC ACM International Conference on Web Intelligence, Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE).

2003

Clark, J., Koprinska, I., Poon, J. (2003). A neural network based approach to automatee e-mail classification. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Koprinska, I., Trieu, F., Poon, J., Clark, J. (2003). E-mail classification by decision forests. Eighth Australasian Document Computing Symposium, Canberra: CSIRO ICT Centre.
Mak, H., Koprinska, I., Poon, J. (2003). INTIMATE: A web-based movie recommender using text categorization. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Clark, J., Koprinska, I., Poon, J. (2003). Linger - a smart personal assistant for e-mail classification. 2003 IEEE/WIC Intenational Conference on Web Intelligence, United States: Institute of Electrical and Electronics Engineers (IEEE).
Davis, J., Kummerfeld, R., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2003). Using workflow, user modeling and turoring strategies for just-in-time docuemtn delivery. Shaping the future of learning through intelligent Technologies, Amsterdam: IOS Press.
Davis, J., Kay, J., Kummerfeld, R., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2003). Workflow, user modeling and tutoring strategies for just-in-time document delivery. AIED 2003: Artificial Intelligence in Education, Sydney, AU: University of Sydney.

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2002

Davis, J., Kay, J., Lin, X., Poon, J., Quigley, A., Saunders, G., Yacef, K. (2002). Workflow based Just-in-time Training. ADCS '02 The Seventh Australasian Document Computing Symposium, Sydney, Australia: School of Information Technologies, University of Sydney.

2001

Poon, J., Prasher,, S. (2001). A Hybrid Approach to Support Interactive Data Mining. Genetic and Evolutionary Computation Conference, Australia: UNSW Australian Defence Force Academy.
Poon, J., Nunn,, C. (2001). Browsing the Web from a Speech-Based Interface. INTERACT 2001 Eighth IFIP Conference on Human-Computer Interaction, Australia: Ads & Adea.

Selected Grants

2021

A randomized controlled trial evaluating a theory-based online intervention via fully automated Chatbot in increasing pneumococcal vaccination among community dwelling individuals aged 65 years, Poon J, The Health and Medical Research Fund (HMRF)/Investigator-initiated Projects

2020

ExploreCSR (2020), Han S, Fekete A, Koprinska I, Kay J, Poon J, Yacef K, Google LLC/Research Support

2019

Fatigue and Immunomodulatory Responses in Multiple Sclerosis with Integrative Medicine FIRST, Lau A, Poon J, Poon S, Research Council of Hong Kong/Early Career Scheme (ECS)

2015

Symposium of Big Data in Integrative Medicine Research, Poon J, Lam M, Loy C, Poon S, Roufogalis B, Sze D, Meng H, Wu J, Cheng Y, Office of Global Engagement/IPDF Grant

2014

Evaluation of the need of CM services for stroke patients in Hong Kong, Poon S, Poon J, The Chinese University of Hong Kong/Research Grants Program

2012

Discovery of Clinical Knowledge from Analysis of Traditional Chinese Medicine (TCM) Patient Data Records, Poon J, Poon S, Loy C, Chan K, University of Sydney/Research Support
Workshop of Informatics for Traditional Chinese Medicine, Cheng Y, Li G, Liu B, Poon J, Poon S, Sze D, Office of Global Engagement/IPDF Grant

2011

Identification of core Herbs in TCM prescription for Lung Cancer Treatment using Complex Data Analyses, Poon J, Poon S, Xu L, Sze D, National Science Foundation of China/Research Support
Data Mining of Traditional Chinese Medicine Clinical Data, Poon J, Poon S, University of Sydney/International Program Development Fund
Application of Informatics to TCM Information database, Poon J, Poon S, Jia W, Poso A, Ministry of Science and Technology, China/Research Support

2010

Regulation and authentication of scheduled and toxic Chinese herbs in Australia, Poon J, Li G, Chan K, Roufogalis B, McLachlan A, Li K, Razmovski-Naumovsk V, University of Sydney/Research Support

2009

Data Mining of Traditional Chinese Medicine Clinical Data, Poon J, Poon S, University of Sydney/International Program Development Fund

2006

Enriching Interaction Inside and Outside Classroom, Poon J, Calvo R, HP Technology for Teaching Grant Initiative/Research Support

2004

Bridging the Gap: Smart Support for the Intergenerational Distributed Family, Kay J, Koprinska I, Kummerfeld R, Poon J, Yacef K, Smart Services Cooperative Research Centre./Cooperative Research Centres

2003

Text Mining on Financial News, Poon J, University of Sydney/Internal Research Grant Allocations

2002

Mining of Gene-Related Biomedical Literature, Poon J, Korpinska I, University of Sydney/Internal Research Grant Allocations

2001

Knowledge acquisition and Machine Learning, Smart Personal Assistant Project 01, Davis J, Kay J, Koprinska I, Poon J, Takatsuka M, Tobias J, Yacef K, Smart Services Cooperative Research Centre./Cooperative Research Centres
Machine Learning for SPA, Greenhalgh A, Koprinska I, Poon J, Smart Services Cooperative Research Centre./BLO Project

2000

Natural Adaptive User Interface Prototype, NAUI-Project 01, Davis J, Kay J, Koprinska I, Poon J, Takatsuka M, Tobias J, Yacef K, Smart Services Cooperative Research Centre./BLO Project

Professional Activites

Co-chairs of AIBDM09 (in conjunction with PAKDD09)
Co-chairs of GECCO-2001 Workshop on Non-Routine Design with Evolutionary Systems
Co-chairs of AID'96 Workshop on "Evolutionary Systems in Design"

International collaboration

China Academy of Chinese Medical Sciences[China]

Prof LIU Baoyan, Director of National Data Center of China Academy of Chinese Medical Sciences

Data analytics for traditional Chinese Medicine.
liuby@ndctcm.cn

The Chinese University of Hong Kong[Hong Kong S.A.R.]

We have set up a joint big-data research lab called ACCLAIM (Analytical and Clinical Cooperative Laboratory for Integrative Medicine) with the Institute of Integrative Medicine. The Co-Director of ACCLAIM from CUHK is Prof Alex Lau.

The University of Manchester [United Kingdom]

g.nenadic@manchester.ac.uk

The University of Edinburgh [United Kingdom]

balex@staffmail.ed.ac.uk

In the media

Delving into Hong Kong’s health data[16-Aug-16]

University of Sydney

A specialist research group has joined forces to analyse Hong Kong's largely untapped healthcare recordsMore..
A marriage of chinese medicine and information technologies[13 June 2013]

University of Sydney

Chinese Medicine (CM) and Information Technologies (IT) seem to be polar opposites but Dr Josiah Poon is on a mission to marry these two disparate fields.More..

Faculty of Engineering

Page not found

Associate Professor Josiah Poon

Selected publications

Publications

By Type

By Year

Selected Grants

2021

2020

2019

2015

2014

2012

2011

2010

2009

2006

2004

2003

2002

2001

2000

Professional Activites

International collaboration

In the media

Related research articles

Delving into Hong Kong’s health data