biblio

Hsu, Wynne's Publications

2022

Alex Foo, Wynne Hsu, Mong Li Lee and Gavin S.W. Tan. DP-GAT: A Framework for Image-based Disease Progression Prediction, accepted in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2022.
Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang and Ngiap Chuan Tan. Chronic Disease Management with Personalized Lab Test Response Prediction, accepted in 31st International Joint Conference on Artificial Intelligence and 25th European Conference on AI (IJCAI-ECAI), July 2022.
Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang and Ngiap Chuan Tan. Personalizing Medication Recommendation with a Graph-Based Approach, in ACM Transactions on Information Systems, Vol. 40, No. 3, 2022.
Anab Maulana Barik, Wynne Hsu and Mong Li Lee. Incorporating External Knowledge for Evidence-based Fact Verification, in 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis (KnOD), in conjunction with the Web Conference, April 2022.
Qiao Gao, Ngiap Chuan Tan, Hao Sen Andrew Fang, Mong Li Lee and Wynne Hsu. Glycaemic control of Asian patients with type-2 diabetes mellitus on tiered up-titration of metformin monotherapy: A one-year real-world retrospective longitudinal study in primary care, in Diabetes Research and Clinical Practice, Vol. 187, 2022.
Hao Sen Andrew Fang, Qiao Gao, Wei Ying Tan, Mong Li Lee, Wynne Hsu and Ngiap Chuan Tan. The Effect of Oral Diabetes Medications on Glycated Haemoglobin (HbA1c) in Asians in Primary Care: a Retrospective Cohort Real-world Data Study, in BMC Medicine, Vol. 20, No. 22, 2022.
Feng Xie; Han Yuan; Yilin Ning; Marcus Eng Hock Ong; Mengling Feng; Wynne Hsu; Bibhas Chakraborty, Liu Nan. “Deep Learning for Temporal Data Representation in Electronic Health Records: A Systematic Review of Challenges and Methodologies”, Journal of Biomedical Informatics, 2022.

2021

Sandareka Wickramanayake, Wynne Hsu and Mong Li Lee. Explanation-based Data Augmentation for Image Classification, in 35th Conference on Neural Information Processing Systems (NeurIPS), December 2021.
Dejiang Xu, Mong Li Lee and Wynne Hsu. Classification with Dynamic Data Augmentation, in IEEE International Conference on Tools with Artificial Inteligence (ICTAI), November 2021.
Min Min Chan, Amanda Y.R. Lam, David Carmody, Marcus E.H. Ong, Yingtian Zou, Wynne Hsu and Mong Li Lee. Recurrent Temporal Point Process Network for First and Repeated Clinical Events, in IEEE International Conference on Tools with Artificial Inteligence (ICTAI), November 2021.
Steven Jiahe Lee, Tangqing Li, Wynne Hsu and Mong Li Lee. Repurpose Image Identification for Fake News Detection, in 32nd International Conference on Database and Expert Systems Applications (DEXA), September 2021.
Jay Nandy, Wynne Hsu and Mong Li Lee. Distributional Shifts in Automated Diabetic Retinopathy Screening, in IEEE International Conference on Image Processing (ICIP), September 2021.
Sandareka Wickramanayake, Wynne Hsu and Mong Li Lee. Towards Fully Interpretable Deep Neural Networks: Are We There Yet?, in ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI, July 2021.
Sandareka Wickramanayake, Wynne Hsu and Mong Li Lee. Comprehensible Convolutional Neural Networks via Guided Concept Learning, in International Joint Conference on Neural Networks (IJCNN), July 2021.
Chris Samarinas, Wynne Hsu and Mong Li Lee. Improving Evidence Retrieval for Automated Explainable Fact-Checking (Demo), in Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2021.
Rrubaa Panchendrarajan, Wynne Hsu, Mong Li Lee. Emotion-aware Event Summarization in Microblogs, in 9th International Workshop on Natural Language Processing for Social Media, in conjunction with the Web Conference, April 2021.
Hao Sen Andrew Fang, Qiao Gao, Mong Li Lee, Wynne Hsu and Ngiap Chuan Tan. LDL-cholesterol Change and Goal Attainment following Statin Intensity Titration among Asians in Primary Care: a Retrospective Cohort Study, in BMC Lipids in Health and Disease, Vol. 20, No. 1, pp 1-10, 2021.
Hao Sen Andrew Fang, Ngiap Chuan Tan, Wei Ying Tan, Ronald Wihal Oei, Mong Li Lee and Wynne Hsu. Patient Similarity Analytics for Explainable Clinicial Risk Prediction, in BMC Medical Informatics and Decision Making, 2021.
Ronald Wihal Oei, Hao Sen Andrew Fang, Wei Ying Tan, Wynne Hsu, Mong Li Lee and Ngiap Chuan Tan. Using Domain Knowledge and Data-driven Insights for Patient Similarity Analytics, in Journal of Personalized Medicine, Vol. 11, No. 8, 2021.
Carol Cheung, Dejiang Xu, Ching-Yu Cheng, Charumathi Sabanayagam, Yih Chung Tham, Marco Yu, Tyler Rim, Chew Yian Chai, Bamini Gopinath, Paul Mitchell, Richie Poulton, Terrie Moffitt, Avshalom Caspi, Jason Yam, Clement Tham, Jost Jonas, Ya Xing Wang, Su Jeong Song, Louise Burrell, Omar Farouque, Ling Jun Li, Gavin Tan, Daniel Ting, Wynne Hsu, Mong Li Lee, Tien Yin Wong. A Deep Learning System for the Assessment of Cardiovascular Disease Risk via the Measurement of Retinal Vessel Calibres, in Nature Biomedical Engineering, 2021.

2020

Jay Nandy, Wynne Hsu and Mong Li Lee. Towards Maximizing the Representation Gap between In-Domain and Out-of-Distribution Examples, in 34th Conference on Neural Information Processing Systems (NeurIPS), December 2020.
Chris Samarinas, Wynne Hsu and Mong Li Lee. Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI Training, in IEEE International Conference on Tools with Artificial Inteligence (ICTAI), November 2020.
Tangqing Li, Wynne Hsu, Mong Li Lee and Hai Leong Chieu. Probabilistic Decision Modeling in Social Networks, in IEEE International Conference on Tools with Artificial Inteligence (ICTAI), November 2020.

Gilbert Lim, Pranav Thombre, Mong Li Lee and Wynne Hsu. Generative Data Augmentation for Diabetic Retinopathy Classification, in IEEE International Conference on Tools with Artificial Inteligence (ICTAI), November 2020.

Jay Nandy, Wynne Hsu and Mong Li Lee. Approximate Manifold Defense Against Multiple Adversarial Perturbations, in International Joint Conference on Neural Networks (IJCNN), July 2020.

Akrati Saxena, Wynne Hsu, Mong Li Lee, Hai Leong Chieu, Lynette Ng and Loo-Nin Teow. Mitigating Misinformation in Online Social Network with Top-k Debunkers and Evolving User Opinions, in 4th International Workshop on Mining Actionable Insights from Social Networks (MAISoN), in conjunction with the Web Conference, Taipei, Taiwan, April 2020.

Alex Foo, Mong Li Lee, Wynne Hsu, Gilbert Lim and Tien Yin Wong. Multi-task Learning for Diabetic Retinopathy Grading and Lesion Segmentation, in Innovative Applications of Artificial Intelligence (IAAI-20), New York, USA, February 2020.

Charumathi Sabanayagam, Dejiang Xu, Daniel S.W. Ting, Simon Nusinovici, Riswana Banu, Haslina Hamzah, Cynthia Lim, Yih-Chung Tham, Carol Y. Cheung, E Shyong Tai, Ya Xing Wang, Jost B Jonas, Ching-Yu Cheng, Mong Li Lee, Wynne Hsu, Tien Yin Wong. A Deep Learning Algorithm to Detect Chronic Kidney Disease from Retinal Photographs in Community-based Populations, in The Lancet Digital Health, 2020.

Yuchen Xie, Quang D Nguyen, Haslina Hamzah, Gilbert Lim, Valentina Bellemo, Dinesh V Gunasekeran, Michelle Yip, Xin Qi Lee, Wynne Hsu, Mong Li Lee, Colin SH Tan, Hon Tym Wong, Ecosse L Lamoureux, Gavin S.W. Tan, Tien Yin Wong, Eric A Finkelstein, Daniel Shu Wei Ting. Artificial Intelligence for Teleophthalmology-based Diabetic Retinopathy Screening in a National Program: A Modelled Economic Analysis Study, in The Lancet Digital Health, 2020.

Michelle Yip, Gilbert Lim, Zhan Wei Lim, D. Quang Nguyen, Crystal Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin S.W. Tan, Wynne Hsu, Mong Li Lee, Tien Yin Wong, Daniel Ting. Technical and Image-related Factors Influencing Performance of Clinical Deployment of Deep Learning Algorithms for Diabetic Retinopathy Screening, in NPJ Digital Medicine, 2020.

2019

Lahari Poddar, Wynne Hsu, Mong Li Lee. Predicting User Reported Symptoms Using a Gated Neural Network, in 31st International Conference on Tools in AI (ICTAI), Portland, Oregan, USA, November 2019.

Dejiang Xu, Mong Li Lee, Wynne Hsu. Patch-Level Regularizer for Convolutional Neural Network, in IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, September 2019.

Wee Yong Lim, Mong Li Lee, Wynne Hsu. End-to-End Time-Sensitive Fact Check, in ACM SIGIR Workshop on Reducing Online Misinformation Exposure (ROME), Paris, France, July 2019.

Dejiang Xu, Mong Li Lee, Wynne Hsu. Propagation Mechanism for Deep and Wide Neural Networks, in 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, June 2019.

Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee. FLEX: Faithful Linguistic Explanations for Neural Net based Model Decisions, in 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, January 2019.

Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong. Building Trust in Deep Learning System towards Automated Disease Detection, in Innovative Applications of Artificial Intelligence (IAAI-19), Honolulu, Hawaii, January 2019.

Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Ting, Tien Yin Wong, Mong Li Lee, Wynne Hsu. Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study, in Innovative Applications of Artificial Intelligence (IAAI-19), Honolulu, Hawaii, January 2019.

Carol Cheung, Ching-Yu Cheng, Charumathi Sabanayagam, Dejiang Xu, Gavin Tan, Daniel Ting, Wynne Hsu, Mong Li Lee, Tien Yin Wong. Artificial Intelligience Deep Learning System for Measurement of Retinal Vascular Caliber, in 42nd Annual Macula Society Meeting, February 2019.

Daniel Ting, Carol Cheung, Quang Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost Jonas, Rohit Varma, Mong Li Lee, Wynne Hsu, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong. Deep Learning in Estimating Prevalence and Systemic Risk Factors for Diabetic Retinopathy: A Multi-Ethnic Study, in NPJ Digital Medicine, 2(24), 2019.

Valentina Bellemo, Zhan Wei Lim, Gilbert Lim, Quang Nguyen, Yuchen Xie, Michelle Yip, Haslina Hamzah, Jinyi Ho, Xin Qi Lee, Wynne Hsu, Mong Li Lee, Lillian Musonda, Manju Chandran, Grace Chipalo-Mutati, Mulenga Muma, Gavin Tan, Sobha Sivaprasad, Geeta Menon, Tien Yin Wong. Artificial Intelligence using Deep Learning to Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa: A Clinical Validation Study, in The Lancet Digital Health, 1(1), 2019.

Valentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, Gavin Tan, Carol Cheung, SriniVas Sadda, Ming-guang He, Adnan Tufail, Mong Li Lee, Wynne Hsu, Daniel Ting. Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application, in Current Diabetes Report, 19(9), 2019.

2018

Antony Hardjojo, Arunan Gunachandran, Long Pang, Mohammed R.B. Abdullah, Win Wah, Joash W.C. Chong, Ee Hui Goh, wSok Huang Teo, Gilbert Lim, Mong Li Lee, Wynne Hsu, Vernon Lee, Mark I-Cheng Chen, Franco Wong, Jonathan S.K. Phang. Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore, in JMIR Medical Informatics, Vol 6, No. 2, 2018.

Gilbert Lim, Wynne Hsu, Mong Li Lee. Intermediate Goals in Deep Learning for Retinal Image Analysis, in ACCV Workshop on AI for Retinal Image Analysis (AIRIA), Perth, Australia, December 2018.

Lahari Poddar, Wynne Hsu, Mong Li Lee, Shruti Subramaniyam. Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: a Neural Approach, in IEEE International Conference on Tools for Artificial Intelligence (ICTAI), Volos, Greece, November 2018.

Jay Nandy, Wynne Hsu, Mong Li Lee. Normal Similarity Network for Generative Modelling, in IEEE International Conference on Image Processing (ICIP), Athens, Greece, October 2018.

Dejiang Xu, Gilbert Lim, Mong Li Lee, Wynne Hsu. A Differential-Based Approach for Vessel Type Classification in Retinal Images, in IEEE International Conference on Image Processing (ICIP), Athens, Greece, October 2018.

2017

Furong Li, Mong Li Lee, Wynne Hsu. Profiling Entities over Time in the Presence of Unreliable Sources, in IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29, No. 7, pp 1522-1535, 2017.

Wee Yong Lim, Mong Li Lee, Wynne Hsu. iFact: An Interactive Framework to Assess Claims from Tweets, in International Conference on Information and Knowledge Management (CIKM), Singapore, November 2017.

Lahari Poddar, Wynne Hsu, Mong Li Lee. Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews, in International Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017.

Lahari Poddar, Wynne Hsu, Mong Li Lee. Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach, in 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 2017

Furong Li, Mong Li Lee, Wynne Hsu. MAROON+: A System for Profiling Entities over Time (Demo), in 33rd IEEE International Conference on Data Engineering (ICDE), San Diego, CA, USA, April 2017.

Chonggang Song, Mong Li Lee, Wynne Hsu. Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks, in 33rd IEEE International Conference on Data Engineering (ICDE), San Diego, CA, USA, April 2017.

Gilbert Lim, Daniel Ting, Carol Cheung, Gavin Tan, Rina Rudyanto, Alfred Gan, CY Cheng, Wynne Hsu, Mong Li Lee, Tien Yin Wong. Deep Learning System for Screening of Diabetic Retinopathy, Glaucoma and Age-related Macular Degeneration Using Retinal Photographs: The DEEP EYE Study, in Investigative Ophthalmology & Visual Science , 58(8), 2017.

Daniel Ting, Carol Cheung, Gilbert Lim, Gavin Tan, ..., Wynne Hsu, Mong Li Lee, Tien Yin Wong. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases using Retinal Images from Multiethnic Populations with Diabetes, in JAMA , 318(22), 2017.

2016

Wee Yong Lim, Mong Li Lee, Wynne Hsu. ClaimFinder: A Framework for Identifying Claims in Microblogs, in Sixth International Workshop on Making Sense of Microposts (#Microposts), in conjunction with WWW Conference, Montreal, Canada, April 2016.

Tien Yin Wong, Daniel Ting, Gavin Tan, Wynne Hsu, Mong Li Lee, Haslina Hamzah, Gilbert Lim, Rina Rudyanto, Yuan Cheng, Alfred Gan, Carol Y. Cheung. Cloud-based Automated Software for Diabetic Retinopathy Screening and Monitoring in a National Screening Program, in 39th Annual Macula Society Meeting, February 2016.

2015

Gilbert Lim, Yuan Cheng, Wynne Hsu, Mong Li Lee. Integrated Optic Disc and Cup Segmentation with Deep Learning, in 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Italy, November 2015.

Chonggang Song, Wynne Hsu, Mong Li Lee. Mining Brokers in Dynamic Social Networks, in 24th ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, October 2015.

Chonggang Song, Wynne Hsu, Mong Li Lee. Node Immunization over Infectious Period, in 24th ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, October 2015.

Furong Li, Mong Li Lee, Wynne Hsu, Wang-Chiew Tan. Linking Temporal Records for Profiling Entities, in ACM SIGMOD International Conference on Management of Data, Melbourne, Australia, May 2015.

Enliang Xu, Wynne Hsu, Mong Li Lee, Dhaval Patel. k-Consistent Influencers in Network Data, in 20th International Conference on Database Systems for Advanced Applications (DASFAA), Hanoi, Vietnam, April 2015.

Dhaval Patel, Wynne Hsu, Mong Li Lee. LinkNet: Capturing Temporal Dependencies among Spatial Regions, in Distributed and Parallel Databases (Special Issue on Data Management and Analysis in Location-Based Social Networks), Vol 33, No. 2, pp 165-200, 2015.

2014

Dhaval Patel, Wynne Hsu, Mong Li Lee. LinkNet: Capturing Temporal Dependencies among Spatial Regions, in Distributed and Parallel Databases, 2014.

Gilbert Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong. Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening, in AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA), Quebec, Canada, July 2014.

Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu, Tien Yin Wong. The Singapore Eye Vessel Assessment System, book chapter in Image Analysis and Modeling in Opthalmology , Eddie Y. K. Ng, U. Rajendra Acharya, Jasjit S. Suri, Aurelio Campilho (Eds.), ISBN: 1466559306, CRC Press, February 2014.

George Thomas, Shin-Yeu Ong, Yih Chung Tham, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Wan Ting Tay, Jessica Alessi-Calandro, Lauren Hodgson, Ryo Kawasaki, Tien Yin Wong and Carol Yim-lui Cheung. Measurement of the Mascular Vascular Fractal Dimension using a Computer-Assisted Program, in Investigative Ophthalmology and Visual Science, 2014.

2013

Stephane Bressan, Chee Yong Chan, Wynne Hsu, Mong Li Lee, Tok Wang Ling, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung. Database research at the National University of Singapore, in SIGMOD Record, 42(2), pp 46-51, 2013.

Gang Zhao, Mong Li Lee, Wynne Hsu. Community-based User Recommendation in Uni-directional Social Networks, in 22nd ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, CA, USA, October 2013.

Wei Chen, Wynne Hsu, Mong Li Lee. Making Recommendations from Multiple Domains, in 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, Illinois, USA, August 2013.

Wei Chen, Wynne Hsu, Mong Li Lee. Modeling User's Receptiveness over Time for Recommendation, in 36th ACM SIGIR Conference, Dublin, Ireland, July 2013.

Wei Chen, Wynne Hsu, Mong Li Lee. Tagcloud-based Explanation with Feedback for Recommender Systems, in 36th ACM SIGIR Conference, Dublin, Ireland, July 2013.

Kailun Hu, Wynne Hsu, Mong Li Lee. Utilizing Users' Tipping Points in E-commerce Recommender Systems, in 29th IEEE International Conference on Data Engineering (ICDE), Brisbane, Australia, April 2013.

Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu. Distributed Relational Temporal Difference Learning, in 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Minnesota, USA, May 2013.

Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu, Tien Yin Wong. Simultaneously Identifying All True Vessels from Segmented Retinal Images, in IEEE Transactions on Biomedical Engineering (TBME), pp 1851-1858, July 2013.

Enliang Xu, Wynne Hsu, Mong Li Lee, Dhaval Patel. Incremental Mining of Top-k Maximal Influential Paths in Network Data, in Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS), 2013.

Dhaval Patel, Wynne Hsu, Mong Li Lee. Efficient Mining of Lag Patterns in Evolving Time Series, in Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS), Vol 11, pp 76-101, 2013.

2012

Yong San Gilbert Lim, Mong Li Lee, Wynne Hsu. Constrained-MSER Detection of Retinal Pathology, in 21st International Conference on Pattern Recognition, Japan, November 2012.

Enliang Xu, Wynne Hsu, Mong Li Lee, Dhaval Patel. Top-k Maximal Influential Paths in Network Data, in 23rd International Conference on Database and Expert Systems Applications (DEXA), Vienna, Austria, September 2012.

Carol Cheung, George Thomas, Wanting Tay, Kamran Ikram, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Tien Yin Wong. Retinal Vascular Fractal Dimension and its Relationship with Cardiovascular and Ocular Risk Factors, in American Journal of Ophthalmology, 154(4), pp 663-674, October 2012.

Sasongko MB, Hodgson LA, Wong TY, Kawasaki R, Cheung CY, Hsu W, Lee ML, Lau PQ, Mitchell P, Wang JJ. Correlation and Reproducibility of Retinal Vascular Geometric Measurements for Stereoscopic Retinal Images of the Same Eyes, in Ophthalmic Epidemiology, 19(5), pp 322-327, October 2012. Carol Yim-lui Cheung, George N Thomas, Wanting Tay, M. Kamran Ikram,Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Tien Yin Wong, Retinal Vascular Fractal Dimension and its Relationship with Cardiovascular and Ocular Risk Factors, American Journal of Ophthalmology, 2012

Gang Zhao, Mong Li Lee, Wynne Hsu. Increasing Temporal Diversity with Purchase Intervals, SIGIR 2012, Portland Oregon, USA, August 2012.

Dhaval Patel, Chang Sheng, Wynne Hsu, Mong Li Lee. Incorporating Duration Information for Trajectory Classification, in 28th IEEE International Conference on Data Engineering (ICDE), Washington DC, USA, April 2012.

Dhaval Patel, Wynne Hsu, Mong Li Lee. Integrating Frequent Pattern Mining from Multiple Data Domains for Classification, in 28th IEEE International Conference on Data Engineering (ICDE), Washington DC, USA, April 2012.

Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu. Coordination Guided Reinforcement Learning, accepted in 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Spain, June 2012.

2011

·        Dhaval Patel, Wynne Hsu, Mong Li Lee. Discriminative Mutation Chains in Virus Sequences, in 23rd IEEE International Conference on Tools with Artificial Intelligence, Florida, USA, November 2011.

Qiangfeng Peter Lau, Mong Li Lee, Wynne Hsu. Distributed Coordination Guidance in Multi-Agent Reinforcement Learning, in 19th IEEE International Conference on Tools with Artificial Intelligence, Florida, USA, November 2011.

Shrikant Kashyap, Mong Li Lee, Wynne Hsu. Similar Subsequence Search in Time Series Databases, in 22th International Conference on Database and Expert Systems Applications (DEXA), Linz, Austria, August 2011.

Wei Chen, Wynne Hsu, Mong Li Lee. Quaternary Semantic Analysis: Providing Recommendations based on Explicit and Implicit Feedbacks, in 34th International ACM SIGIR Conference, Beijing, China, July 2011.

Gang Zhao, Mong Li Lee, Wynne Hsu, Jiawei Zhang. Query-based Personalized Search in Tag Social Systems, in 3rd Workshop on Social Web Search and Mining (SWSM), in conjunction with SIGIR Conference, Beijing, China, July 2011.

Zenan Zhou, Wei Wu, Xiaohui Li, Mong Li Lee, Wynne Hsu, “MaxFirst for MaxBRkNN,” 27th IEEE International Conference on Data Engineering (ICDE), Hannover, Germany, April 2011.

Carol Cheung, Yingfeng Zheng, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Paul Mitchell, Jie Jin Wang, Ronald Klein, Tien Yin Wong. Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors, in Opthalmology, 118(5), pp 812-818, May 2011.

Carol Cheung, Wan Ting Tay, Paul Mitchell, Jie Jin Wang, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Ai Ling Zhu, Ronald Klein, Seang Mei Saw, Tien Yin Wong. Quantitative and Qualitative Retinal Microvascular Characteristics and Blood Pressure, in Journal of Hypertension, 29(7), pp 1380-1391, July 2011.

2010

Sheng Chang, Wynne Hsu, M. L. Lee, Victor Tong, S. K. Ng, “Mining Mutation Chains in Biological Sequences,” ICDE 2010.

Dhaval Patel, Wynne Hsu, Mong Li Lee, Srinivasan Parthasarathy. “Lag Patterns in Time Series Databases,” 21th International Conference on Database and Expert Systems Applications (DEXA), Linz, Austria, September 2010.

Chang Sheng, Yu Zheng, Wynne Hsu, Mong Li Lee, Xing Xie. Answering Top-k Similar Region Search Queries, in 15th International Conference on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan, April 2010.

Muhammad Sasongko, Jie Jin Wang, Kim Donaghue, Ning Cheung, Paul Benitez-Aguirre, Alicia Jenkins, Wynne Hsu, Mong Li Lee, Tien Yin Wong. Alterations in Retinal Microvascular Geometry in Young Type 1 Diabetes, in Diabetes Care, 33(6), pp 1331-1336, 2010.

Haitao Li, Paul Mitchell, Gerald Liew, Elena Rochtchina, Annette Kifley, Tien Yin Wong, Wynne Hsu, Mong Li Lee, Yong Ping Zhang, Jie Jin Wang. Lens Opacity and Refractive Influences on the Measurement of Retinal Vascular Fractal Dimension, in Acta Ophthalmologica, 88(6), pp 234-240, 2010.

Carol Cheung, Wynne Hsu, Mong Li Lee, Jie Jin Wang, Paul Mitchell, Qiangfeng Peter Lau, Haslina Hamzah, Maisie Ho and Tien Yin Wong. A New Method to Measure Peripheral Retinal Vascular Caliber over an Extended Area, in Microcirculation, 17(7), 2010.

Victoria Cosatto, Gerald Liew, Elena Rochtchina, Alain Wainwright, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Qiangfeng Peter Lau, Haslina Hamzah, Paul Mitchell, Tien Yin Wong, Jie Jin Wang. Retinal Vascular Fractal Dimension Measurement and its Influence from Imaging Variation: Results of Two Segmentation Methods, in Current Eye Research, 35(9), pp 850-856, 2010.

Alan Wainwright, Gerald Liew, George Burlutsky, Elena Rochtchina, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Tien Yin Wong, Paul Mitchell, and Jie Jin Wang. “Effect of Image Quality, Effect of Image Quality, Color and Format on the Measurement of Retinal Vascular Fractal Dimension,” Investigative Ophthalmology and Visual Science, 51(11), pp 5525-5529, 2010.

Gerald Liew, Paul Mitchel1, Elena Rochtchina, Tien Yin Wong, Wynne Hsu, Mong Li Lee, Alan Wainwright, Jie Jin Wang. Fractal analysis of retinal microvasculature and coronary heart disease mortality, in European Heart Journal, 2010.

2009

N. Cheung, K. C. Donaghue, G. Liew, S. L. Rogers, J. J. Wang, S. W. Lim, A. J. Jenkins, Wynne Hsu, M. L. Lee T. Y. Wong, “Quantitative Assessment of Early Diabetic Retinopathy Using Fractal Analysis,” Diabetes Care, 32:1, 106-110, 2009.

Li Ling, Mong Li Lee, Wynne Hsu. Prufer Based Approach to Process Top-k Queries in XML. DEXA 2009.

Chen Chaohai, Wynne Hsu, Mong Li Lee. Discovering Trends and Relationships Among Rules. DEXA 2009.

Wynne Hsu, Peter Lau, Mong Li Lee. Detecting Aggregate Inconguities in XML. DASFAA, 2009.

Mong Li Lee, Wynne Hsu, Li Ling, Tok Wee Kyong. Consistent Top-k Queries over Time. DASFAA 2009.

Jin Chen, Liping Ji, Wynne Hsu, Kian Lee, Tan, Sue Rhee. Exploiting Domain Knowledge to Improve Biological Significance of Biclusters with Key Missing Genes, The 25th International Conference on Data Engineering (ICDE 2009), Shanghai, China, April 2009.

Yongping Zhang, Wynne Hsu, Mong Li Lee. Detection of Retinal Blood Vessels Based on Nonlinear Projections, in Signal Processing Systems , 55(1-3), pp 103-112, 2009.

Dhaval Patel, Chidansh Amitkumar Bhatt, Wynne Hsu, Mong Li Lee, Mohan S. Kankanhalli. Analyzing Abnormal Events from Spatio-temporal Trajectories, in ICDM Workshop on Spatial and Spatiotemporal Data Mining, 2009.

2008

Yong Ping Zhang, Wynne Hsu, Mong Li Lee. Detection of Retinal Blood Vessels Based on Nonlinear Projections, Journal of VLSI Signal Processing Systems for Signal Image and Video Technology, 2008.

Gerald Liew, Jie Jin Wang, Ning Cheung, Yong Ping Zhang, Wynne Hsu, Mong Li Lee, Paul Mitchell, Gabriella Tikellis, Bronwen Taylor, Tien Yin Wong. The Retinal Vasculature as a Fractal: Methodology, Reliability, and Relationship to Blood Pressure, Ophthalmology, 115:11, 1951-1956, 2008.

Dhaval Patel, Wynne Hsu, Mong Li Lee. Mining Relationshps among Interval-based Events for Classification, ACM SIGMOD/PODS Conference 2008, Vancouver, Canada, June 2008.

Sheng Chang, Wynne Hsu, Mong Li Lee, Anthony Tung. Discovering Spatial Interaction Patterns, The 13th International Conference on Database Systems for Advanced Applications (DASFAA) 2008, New Delhi, India, March 2008.

Judice Koh, Mong Li Lee, Wynne Hsu, Wee Tiong Ang. Correlation-based Attribute Outlier Detection in XML, The 24th International Conference on Data Engineering(ICDE)2008 , Cancún, México, April 7-12, 2008.

Sheng Chang, Wynne Hsu, Mong Li Lee. Discovering Geographical-specific Interests from Web Click Data, The 1st International Workshop on Location and the Web in conjunction with the WWW 2008 Conference, Beijing, China, April 2008.

Liang Huai Yang, Mong Li Lee, Wynne Hsu, Decai Huang, Limsoon Wong. Efficient mining of frequent XML query patterns with repeating-siblings, Information and Software Technology, 50:5, 375–389, 2008.

2007

Minghua Zhang, Wynne Hsu, Mong Li Lee. Finding Orientation-Sensitive Patterns in Snapshot Databases, 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Patras, Greece, Oct 2007.

Qiangfeng Lau, Wynne Hsu, Mong Li Lee, Yin Mao, Liang Chen. Prediction of Cerebral Aneurysm Rupture, 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Patras, Greece, Oct 2007.

Minghua Zhang, Wynne Hsu, Mong Li Lee. Mining Prevalence-based Ratio Patterns, 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Patras, Greece, Oct 2007.

Yongping Zhang, Wynne Hsu, Mong Li Lee. Segmentation of Retinal Vessels Using Nonlinear Projections. Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, Sept 2007.

Hanyu Li, M. L. Lee, Wynne Hsu, Ling Li. A Path-Based Approach for Efficient Structural Join with Not-Predicates, 12th International Conference on Database Systems for Advanced Applications (DASFAA), Thailand, April 2007.

J. Koh, M. L. Lee, Wynne Hsu. Correlation-based Detection of Attribute Outliers, 12th International Conference on Database Systems for Advanced Applications (DASFAA), Thailand, April 2007.

J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. Labeling network motifs in protein interactomes for protein function prediction, The 23rd International Conference on Data Engineering, Istanbul, Turkey, April 17-20, 2007.

L. H. Yang, M. L. Lee, Wynne Hsu. Efficient Mining of Frequent XML Query Patterns with Repeating-Siblings, accepted for Publication in Information and Software Technology, Feb 2007.

2006

Jin Chen, Hon Nian Chua, Wynne Hsu, Mong-Li Lee, See-Kiong Ng, Rintaro Saito, Wing-Kin Sung, Limsoon Wong. Increasing Confidence of Protein-Protein Inteactomes. Proceedings of 17th International Conference on
Genome Informatics (GIW 2006), pages 284--297, Yokohama, Japan, 18-20 December 2006.

Guimei Liu, Jinyan Li, Limsoon Wong and Wynne Hsu. Positive Borders or Negative Borders: How to Make Lossless Generator-based Representations Concise, The Proceedings of the Sixth SIAM International Conference on Data Mining (SDM 2006), pages 469--473. April 20-22, Maryland, USA.

Y. Zheng, Wynne Hsu, M. L. Lee, Limsoon Wong. Exploring Essential Attributes For Detecting MicroRNA Precursors From Background Sequences, The 32 ^nd International Conference on Very Large Data Bases Wokrshop on Data Mining in Bioinformatics, Seoul, Korea, 2006.

J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. Increasing Confidence of Protein Interactomes using Network Topological Metrics, Bioinformatics, 22:16, 2006.

J. Chen, Wynne Hsu, M. L. Lee, S.K. Ng. NeMoFinder: Dissecting genome wide protein-protein interactions with repeated and unique network motifs, The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, USA, August 20 - 23, 2006.

M. H. Zhang, Wynne Hsu, M. L. Lee. Mining Progressive Confident Rules, The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, USA, August 20 - 23, 2006.

L. Li, M. L. Lee, Wynne Hsu. Rewriting Queries for XML Integration Systems, The 17th International Conference on Database and Expert Systems Applications, Krakow, Poland, 4-8 September 2006.

L. H.Yang, Wynne Hsu, M.L.Lee, L.Wong. Identification of MicroRNA Precursors via SVM, in Proc. 4th Asia-Pacific Bioinformatics Conference, pages 267-276, Taipei, Taiwan, February 2006.

Junmei Wang, Wynne Hsu, M. L. Lee. A Partition-Based Approach to Graph Mining, in 22th International Conference on Data Engineering (ICDE), Atlanta, USA, April 2006.

Hanyu Li, M. L. Lee, Wynne Hsu, Gao Cong. An Estimation System for XPath Expressions, in 22th International Conference on Data Engineering (ICDE), Atlanta, USA, April 2006.

Chang Sheng, Wynne Hsu, Mong Li Lee. ining Dense Periodic Patterns in Time Series Data, in 22th International Conference on Data Engineering (ICDE), Atlanta, USA, April 2006.

Chenyi Xia, Wynne Hsu, Mong Li Lee, Ooi Beng Chin. BORDER: Efficient Computation of Boundary Points, in IEEE Transaction of Knowledge and Data Engineering, 18:2, 289-303, 2006.

2005

Feng Zhou, Wynne Hsu, Mong Li Lee. Efficient Pattern Discovery for Semistructured Data, in the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Hong Kong, November 2005.

Junmei Wang, Wynne Hsu, Mong Li Lee. A Framework for Mining Topological Patterns in Spatio-temporal Databases, in ACM Fourteenth Conference on Information and Knowledge Management (CIKM), Bremen, Germany, Nov 2005.

Chenyi Xia, Wynne Hsu, Mong Li Lee. ERkNN: Efficient Reverse k-Nearest Neighbors Retrieval with Local kNN-Distance Estimation, in ACM Fourteenth Conference on Information and Knowledge Management (CIKM), Bremen, Germany, Nov 2005.

Hanyu Li, Mong Li Lee,Wynne Hsu. A Path-Based Labeling Scheme for Efficient Structural Join, in Third International XML Database Symposium
(XSym 2005), in conjunction with VLDB 2005 Trondheim, Norway, August 2005.

Hanyu Li, Mong Li Lee, Wynne Hsu. A Histogram-Based Selectivity Estimator for Skewed XML Data, in 16th International Conference on Database and Expert Systems Applications (DEXA), Copenhagen, Denmark, Aug 2005.

Junmei Wang, Wynne Hsu, Mong Li Lee. Mining Generalized Spatio-Temporal Patterns, in 10th International Conference on Database Systems for Advanced Applications (DASFAA), Beijing, China, April 2005.

Zhipeng Xie, Qing Zhang, Wynne Hsu^, Mong Li Lee^.Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques, in 10th International Conference on Database Systems for Advanced Applications (DASFAA), Beijing, China, April 2005.

Junmei Wang, Wynne Hsu, Mong Li Lee. Mining in Spatio-Temporal Databases, book chapter in Spatial Databases: Technologies, Techniques and Trends , Yannis Manalopoulos, Apostolos N. Papadopoulos, Michael Gr. Vassilakopoulos (Eds.), ISBN: 159140388-X, Idea Group Publishing, 2005.

P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee, Say Song Goh. Automated Microaneurysm Segmentation and Detection using Generalized Eigenvectors, in IEEE Workshop on Application of Computer Vision (WACV), Colorado, USA, January 2005.

Huiqi Li, Wynne Hsu, Mong Li Lee, Tien Yin Wong. Automatic Grading of Retina Vessel Caliber, IEEE Transactions on Biomedical Engineering, 52:7, 1352-1355, 2005.

Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Discovering Reliable Protein Interactions from High-Throughput Experimental Data using Network Topology. Artificial Intelligence in Medicine (AIIM Special Issue on Computational Intelligence Techniques in Bioinformatics), 35:2, 37-47, 2005.

Ji Zhang, Wynne Hsu, Mong Li Lee. Clustering in Dynamic Spatial Databases, in Journal of Intelligent Information Systems, 24:2, 5-27, Kluwer Publishers, 2005.

2004

Liang-Huai Yang, Mong Li Lee, Wynne Hsu. Finding Hot Query Patterns over an XQuery Stream, in The VLDB Journal (Special Issue on Data Stream Processing) , J. Gehrke and J. Hellerstein (Eds.), Volume 13, Number 4, December 2004.

Junmei Wang, Wynne Hsu, Mong Li Lee, Jason Wang. FlowMiner: Finding Flow Patterns in Spatio-temporal Databases, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.

Wynne Hsu, Mong Li Lee, Xiaodong Wu. Path-Augmented Keyword Search for XML Documents, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.

Chen Jin, Wynne Hsu, Mong Li Lee, See-Kiong Ng. Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions using Network Topology, in 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, Florida, November 2004.

Hanyu Li, Mong Li Lee, Wynne Hsu, Chen Chao. An Evaluation of XML Indexes for Structural Join, in Sigmod Record, Volume 33, Issue 3, September 2004.

Liang-Huai Yang, Mong Li Lee, Wynne Hsu, Xinyu Guo. 2PXMiner - An Efficient Two Pass Mining of Frequent XML Query Patterns (Poster), in 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA, August 2004.

Ren Lu, Mong Li Lee, Wynne Hsu. Using Interval Association Rules to Identify Dubious Values, in 5th International Conference on Web-Age Information Management (WAIM), Dalian, China, July 2004.

Mong Li Lee, Wynne Hsu, Vijay Kothari. Cleaning the Spurious Links in Data, in IEEE Intelligent Systems: Special issue on Data and Information Cleaning and Preprocessing , Volume 19, No. 2, March/April 2004.

Xiaodong Wu, Mong Li Lee, Wynne Hsu. A Prime Number Labeling Scheme for Dynamic Ordered XML Trees, in 20th International Conference on Data Engineering (ICDE), Boston, USA, March 2004.

Mong Li Lee, Hanyu Li, Wynne Hsu, Beng Chin Ooi. A Statistical Approach for XML Query Size Estimation, in EDBT Workshop on Database Technologies for Handling XML information on the Web (DataX) , Crete, Greece, March 2004.

Liang Huai Yang, Mong Li Lee, Wynne Hsu. Approximate Counting of Frequent Query Patterns over XQuery Stream, in 9th International Conference on Database Systems for Advanced Applications (DASFAA), Korea, March 2004.

Xi Zhang, Liang Huai Yang, Mong Li Lee, Wynne Hsu. Scaling SDI Systems via Query Clustering and Aggregation, in 9th International Conference on Database Systems for Advanced Applications (DASFAA), Korea, March 2004.

Bin Fang, Wynne Hsu and Mong Li Lee. Techniques for Temporal Registration of Retinal Images, in IEEE International Conference on Image Processing, Singapore, October 2004.

P.M.D.S Pallawala, Wynne Hsu, Mong Li Lee, Kah-Guan Au Eong. Automated Optic Disc Localization and Contour Detection Using Ellipse Fitting and Wavelet Transform, in 8th European Conference on Computer Vision (ECCV), Prague, Czech Republic, May 2004.

Yuna Hou, Wynne Hsu, Mong Li Lee, Chris Bystroff. Remote Homolog Detection Using Local Sequence-Structure Correlations, in PROTEINS Structure, Function, and Bioinformatics, John Wiley, 2004.

Jemmy Soenjaya, Wynne Hsu, Mong Li Lee, Tachyang Lee. Mining Wafer Fabrication: Framework and Challenges, book chapter in New Generation of Data Mining Applications, Jozef M Zurada (ed.), John Wiley, 2004.

Wynne Hsu, Mong Li Lee, Jing Dai. Finding Patterns in Image Databases, book chapter in Leondes/Business and Technology of the New Millenium, Cornelius T. Leondes (ed.), Kluwer Publishers, 2004.

Junmei Wang, Wynne Hsu, Mong Li Lee. Discovering Geographical Features for Location-Based Services, in 9th International Conference on Database Systems for Advanced Applications (DASFAA), Korea, March 2004.

2002-2003

Yuna Hou, Wynne Hsu, Mong Li Lee, Christopher Bystroff. Efficient Remote Homology Detection Using Local Structure, Bioinformatics, 2003.

Wynne Hsu, Dai Jing, Mong Li Lee. Mining Viewpoint Patterns in Image Databases, The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington DC, U.S.A., 2003.

Liang Huai Yang, Mong Li Lee, Wynne Hsu. Efficient Mining of XML Query Patterns for Caching , 29th International Conference on Very Large Databases, Berlin, 2003.

Mong Li Lee, Wynne Hsu, Christian S. Jensen, Bin Cui, Keng Lik Teo. Supporting Frequent Updates in R-Trees: A Bottom-Up Approach , 29th International Conference on Very Large Databases, Berlin, 2003.

Huiqi Li, Wynne Hsu, Mong Li Lee, Hongyu Wang. A Piecewise Gaussian Model for Profiling and Differentiating Retinal Vessels, International Conference on Image Processing, 2003

Bin Fang, Wynne Hsu, Mong Li Lee. Reconstruction Of Vascular Structures in Retinal Images, International Conference on Image Processing, 2003

Liang Huai Yang, Mong Li Lee, Wynne Hsu, Sumit Acharya. Mining Frequent Query Patterns from XML Queries, in 8th International Symposium on Database Systems for Advanced Applications (DASFAA), Kyoto, Japan, March 2003.

Bin Fang, Wynne Hsu, Mong Li Lee. On the Accurate Counting of Tumor Cells, IEEE Transactions on NanoBioscience, Vol 2, No 2, pp 94-103,
2003.

Tai Peng Tian, Ying Chen, Wee Kheng Leow, Wynne Hsu, Tet Sen Howe, Meng Ai Png. Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection, International Conference on Computer Analysis of Images and Patterns, The Netherlands, Aug 2003.

Say Chuen Tay, Wynne Hsu, Kim Hwa Lim. Spatial Data Mining: Clustering of Hot Spots and Pattern Recognition, International Geoscience & Remote Sensing Symposium, Toulouse France, 2003.

Mong Li Lee, Liang Huai Yang, Wynne Hsu, Xia Yang. XClust: Clustering XML Schemas for Effective Integration, 11th ACM International Conference on Information and Knowledge Management (CIKM), McLean, Virginia, November 2002.

Mong Li Lee, Boon Chin Chua, Wynne Hsu, Kian-Lee Tan. Efficient Evaluation of Multiple Queries on Streaming XML Data, 11th ACM International Conference on Information and Knowledge Management (CIKM), McLean, Virginia, November 2002.

Wynne Hsu, Mong Li Lee, Ji Zhang. Image Mining: Trends and Developments, in Journal of Intelligent Information System (JISS): Special Issue on Multimedia Data Mining, Kluwer Academic, 2002.

Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee. Concept Lattices based Composite Classifiers for High Predictability, in Journal of Experimental and Theoretical Artificial Intelligence (JETAI): Special Issue on Concept Lattice for KDD, Taylor and Francis, 2002.

Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee. SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, May 2002.

Wynne Hsu, Mong Li Lee, Beng Chin Ooi, Pranab Kumar Mohanty, Keng Lik Teo, Chenyi Xia. Advanced Database Technologies in a Diabetic Healthcare System (Demo), in 28th International Conference on Very Large Databases (VLDB), Hong Kong, August 2002.

Bin Fang, Wynne Hsu, Mong Li Lee. Tumor Cell Identification using Features Rules, in 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , Edmonton, Canada, July 2002.

2000-2001

Wynne Hsu, P. M. D. S. Pallawala, M. L. Lee and K. G. Au-Eong. Domain Knowledge in the Detection of Retinal Hard Exudates, in IEEE Computer Vision and Pattern Recognition, Dec 2001, Hawaii.

K. G. Goh, Wynne Hsu, M. L. Lee, H. Wang. ADRIS: An Automatic Diabetic Retinal Image Screening System, book chapter in Medical Data Mining and Knowledge Discovery, edited by Krzysztof Cios, pp. 181-210, Springer-Verlag, 2001.

Zhang Ji, Wynne Hsu, M. L. Lee. Image Mining: Issues, Frameworks, and Techniques, in Second International Workshop on Multimedia Data Mining (MDM/KDD 2001), August 2001, San Francisco, U.S.A.

Zhang Ji, Wynne Hsu, M. L. Lee. An Information-driven Framework for Image Mining, in Proceedings of the 12th International Conference on Database and Expert Systems Applications (DEXA), Sept 2001, Munich, Germany, 2001.

Bing Liu, Wynne Hsu, Y. Ma. Identifying Non-actionable Association Rules, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001), Aug, 2001, San Fransico, USA.

Bing Liu, Wynne Hsu, Y. Ma. Discovering the Set of Fundamental Rule Changes, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001), Aug, 2001, San Fransico, USA.

Wynne Hsu, M. L. Lee, K. G. Goh, Image Mining in IRIS: Integrated Retinal Information System, in Proceedings of the ACM SIGMOD, May 2000, Dellas, Texas, U.S.A., pp. 593.

Wynne Hsu, M. L. Lee, B. Liu and T. W. Ling, Exploration Mining in Diabetic Patient Databases: Findings and Conclusions, in Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 20 Aug 2000, Boston, U.S.A., pp. 430-436.

H. Wang, Wynne Hsu, K. G. Goh, M. L. Lee, An Effective Approach to Detect Lesions in Colour Retinal Images, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2000), June 2000, South Carolina, U.S.A., pp. 181-187.

Bing Liu, Minqing Hu, and Wynne Hsu. Multi-level Organization and Summarization of the Discovered Rules, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2000, full paper), Aug 2000, Boston, USA.

Bing Liu, Minqing Hu, and Wynne Hsu. Intuitive Representation of Decision Trees Using General Rules and Exceptions., in Proceedings of Seventeeth National Conference on Artificial Intelligence (AAAI-2000), July 30 - Aug 3, 2000, Austin, Texas, USA.

Bing Liu, Wynne Hsu, Heng-Siaw Han and Yiyuan Xia. Mining Changes for Real-life Applications, in The 2nd International Conference on Data Warehousing and Knowledge Discovery (DaWaK-2000), Sept 4-6 2000, London Greenwich, UK.

Bing Liu, Wynne Hsu, Shu Chen and Yiming Ma. Analyzing the Subjective Interestingness of Association Rules, in IEEE Intelligent Systems, 2000.

H. P. Leung, Wynne Hsu. Utilizing the Subjective Intent of Authoring Formats to Perform Focused Web Crawling, Poster Proceeding of the 9th International World Wide Web Conference, May 2000, Ansterdam, pp. 58-60.

Wynne Hsu, T. S. Chua , H. K. Pung. Approximating Content-based Object-level Image Retrieval, Multimedia Tools and Applications, 12, 2000, pp. 59-79.

H. K. Pung, Wynne Hsu, B. S. Sapkota, W. C. Wong. A Corba based QoS Support for Distributed Multimedia Applications, in Multimedia Tools and Applications, 12, 209-233, 2000.

Wynne Hsu, B. Liu, eds, Computer-aided Design: Special Issue on Conceptual Design, 32, 14, Dec 2000.

Bing Liu & Hsu, Wynne, "Previously discovered knowledge," INVITED PAPER for Oxford University Press's Handbook on Data Mining and Knowledge Discovery, 2000.

Bing Liu & Hsu, Wynne, "User preferences," INVITED PAPER for Oxford University Press's Handbook on Data Mining and Knowledge Discovery , 2000.

1998-1999

Bing Liu, Wynne Hsu, Yiming Ma. Pruning and Summarizing the Discovered Associations, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99, full paper), August 15-18, 1999, San Diego, CA, USA, pp. 125-134.

Bing Liu, Wynne Hsu, Yiming Ma. Mining Association Rules with Multiple Minimum Supports, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99, poster), August 15-18, 1999, San Diego, CA, USA, pp. 337-341.

Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen. Discovering Interesting Knowledge using DM-II, in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99), Industrial Track, August 15-18, 1999, San Diego, CA, USA, pp. 430-434.

Bing Liu, Wynne Hsu, Ke Wang, Shu Chen. Visually Aided Exploration of Interesting Association Rules, in Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), Beijing, April 26-28, 1999.

Wynne Hsu, C. S. G. Lee. Towards an Optimal Degree of Design Coupling through Fuzzy Analysis, in Journal of Intelligent and Fuzzy Systems, 1999, pp. 359-372.

Bing Liu, Wynne Hsu, Lai-Fun Mun and Hingyan Lee. Finding Interesting Patterns Using User Expectations, in IEEE Transactions on Knowledge and Data Engineering, Vol 11(6), pp. 817-832, 1999.

Bing Liu, Wynne Hsu, Yiming Ma. Integrating Classification and Association Rule Mining, in Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98, Plenary Presentation), New York, USA, 1998.

Bing Liu, Wynne Hsu, and K. Wang, eds, Proceeding of Knowledge Discovery and Data Mining Workshop, PRICAI-98, Singapore, Nov 1998.

Ooi, B. C., K. L. Tan, T. S. Chua, Wynne Hsu. Fast Image Retrieval using Color-Spatial Information, in VLDB International Journal, 7, 2, May 1998, pp. 115-128.

Yu, Shengke, Wynne Hsu, H. K. Pung. KPN: A Petri Net Model for General Knowledge Representation and Reasoning, in IEEE International Conference on Systems, Man and Cybernetics, Oct 1998, San Diego, U.S.A, pp 184-189.

Teik Guan Tan, Wynne Hsu. Approximating Scheduling for Multimedia Applications under Overload Conditions, in International Journal Of Approximate Reasoning (19)1-2 (1998) pp. 57-71.

S. F. Li, Wynne Hsu, H. K. Pung. Twins: A Practical Vision-based 3D Mouse, in Journal of Real-time Imaging, 1998.

Wynne Hsu, T. K. Tan. Rapid Prototyping with Constraints-based Scheduling for Multimedia Applications, in Multimedia Tools and Applications , 1998.

Wynne Hsu, C. S. G. Lee, Andrew Lim. A Computer-aided Product Redesign System for Robotic Assembly, in Robotica: Special Issue on Intelligent Robotic Assembly, 16, pp 239-249, 1998.

Wynne Hsu, J. Y. H. Fuh, Y. F. Zhang. Synthesis of Design Concepts from a Design for Assembly Perspective, in Computer Integrated Manufacturing Systems, (11)1-2 (1998) pp 1-13.

Wynne Hsu, I. M. Y. Woon. Current Research in the Conceptual Design of Mechanical Products, in Computer-Aided Design, 30, 1998, pp 377-389.

1992-1997

Bing Liu, Wynne Hsu and Shu Chen. Using General Impressions to Analyze Discovered Classification Rules, in Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97, Plenary Presentation), pp. 31-36, August 14-17, 1997, Newport Beach, USA.

Bing Liu, Liang-Ping Ku and Wynne Hsu. Discovering Interesting Holes in Data, in Proceedings of Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 930-935, August 23-29, 1997, Nagoya, Japan.

Bing Liu, Wynne Hsu and Shu Chen. Discovering Conforming and Unexpected Classification Rules, in IJCAI-97 Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-97), August 23-29, 1997, Nagoya, Japan.

Bing Liu, Wynne Hsu, Lai-Fun Mun and Hing-Yan Lee. Identifying Interesting Missing Patterns, in Proceedings of 1st Pacific Asia International Conference on Knowledge Discovery and Data Mining (PAKDD-97), Singapore, Feb 1997.

Li Sifang, Wynne Hsu, and H. K. Pung. A Real-time Monocular Vision-based Mouse, in 7th International Conference of Computer Analysis of Images and Patterns (CAIP) , Sept 10-12, 1997, Kiel, Germany, pp. 448-455.

Tan Teik Guan and Wynne Hsu. Interactive Scheduling Supports for Real-time Multimedia Execution, in Proceedings of IEEE Conference on Multimedia Computing Systems (ICMCS) , June 3-6, 1997, Ottawa, Canada, pp. 598-600.

Tan Teik Guan and Wynne Hsu. Scheduling Multimedia Applications under Overload and Indeterministic Conditions, in Proceedings of Third IEEE Real-Time Technology and Applications Symposium , June 8-11, 1997, Montreal, Canada, pp. 178-184.

S. F. Su, C. S. G. Lee and Wynne Hsu, Automatic Generation of Goal Region for Assembly Task in the Presence of Uncertainties, IEEE Transaction of Robotics and Automation, 12(2):313-324, 1996.

Andrew Lim, Chee Y. M., and Wynne Hsu, Upgrading Links for Performance, Informatica, 7(4):455-468, 1996.

Wynne Hsu, Andrew Lim and C. S. G. Lee, Conceptual Level Design for Assembly Analysis using State Transitional Approach, Proceedings of the IEEE International Conference on Robotics and Automation, 1996, Minneapolis, pp. 3355-3361.

Wynne Hsu, Andrew Lim and C. S. G. Lee, Product Redesign for Robotics Assembly, The Fourth International Conference on Automation Technology, 1996, Taiwan, pp. 441-448.

Bing Liu and Wynne Hsu, Post-Analysis of Learned Rules, Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Aug 4-8, 1996, Portland, Oregon, USA, pp. 828-834.

Wynne Hsu, Chua T. S. and Pung H. K., An Integrated Color-Spatial Approach to Content-based Image Retrieval, ACM Multimedia '95, 1995, pp. 305-313.

Wynne Hsu and C. S. G. Lee, "Paradigm Shift and the Integrated Feedback Approach," Proc. of IEEE International Conference of Robotics and Automation, Japan, May 21-May 27, 1995, pp. 2853-2859.

Andrew Lim, Chee Y. M., and Wynne Hsu, "Upgrading Links for Performance",IEEE SICON/ICIE, Singapore, pp. 398-402, 1995.

Wynne Hsu and C. S. G. Lee, "Fuzzy Application in Tolerance Design," Proc. of IEEE International Conference on Fuzzy Systems, Florida, June 26-July 2, 1994.

Wynne Hsu, C. S. G. Lee and S. F. Su, "Feedback Approach to Design for Assembly by Evaluating Assembly Plan," Computer-Aided Design, 25(7):395-410, 1993.

Wynne Hsu, C. S. G. Lee and S. F. Su, "Feedback Evaluation of Assembly Plans," Proc. of IEEE International Conference of Robotics and Automation, Nice, France, May 10-15, 1992, pp 2419-2424.