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ORCIDWynne Hsu
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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2023
[j40]Ronald Wihal Oei
, Wynne Hsu, Mong-Li Lee, Ngiap Chuan Tan:
Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach. J. Am. Medical Informatics Assoc. 30(2): 273-281 (2023)- [c161]Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. AAAI 2023: 14178-14186 - [i15]Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. CoRR abs/2303.13752 (2023) - 2022
- [j39]Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu:
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. J. Biomed. Informatics 126: 103980 (2022) - [j38]Suman Bhoi, Mong-Li Lee, Wynne Hsu, Andrew Hao Sen Fang, Ngiap Chuan Tan:
Personalizing Medication Recommendation with a Graph-Based Approach. ACM Trans. Inf. Syst. 40(3): 55:1-55:23 (2022) - [c160]Suman Bhoi, Mong-Li Lee, Wynne Hsu, Andrew Hao Sen Fang, Ngiap Chuan Tan:
Chronic Disease Management with Personalized Lab Test Response Prediction. IJCAI 2022: 5038-5044 - [c159]Alex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan:
DP-GAT: A Framework for Image-based Disease Progression Prediction. KDD 2022: 2903-2912 - [c158]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Incorporating External Knowledge for Evidence-based Fact Verification. WWW (Companion Volume) 2022: 429-437 - [i14]Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou:
Label-Efficient Online Continual Object Detection in Streaming Video. CoRR abs/2206.00309 (2022) - [i13]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. CoRR abs/2210.04122 (2022) - [i12]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - [i11]Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. CoRR abs/2212.11565 (2022) - 2021
- [j37]Andrew Hao Sen Fang, Ngiap Chuan Tan, Wei Ying Tan, Ronald Wihal Oei, Mong-Li Lee, Wynne Hsu:
Patient similarity analytics for explainable clinical risk prediction. BMC Medical Informatics Decis. Mak. 21(1): 207 (2021) - [c157]Steven Jia He Lee, Tangqing Li, Wynne Hsu, Mong-Li Lee:
Repurpose Image Identification for Fake News Detection. DEXA (2) 2021: 35-47 - [c156]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts In Automated Diabetic Retinopathy Screening. ICIP 2021: 255-259 - [c155]Min Min Chan, Amanda Yun Rui Lam, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee:
Recurrent Temporal Point Process Network for First and Repeated Clinical Events. ICTAI 2021: 153-160 - [c154]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Classification with Dynamic Data Augmentation. ICTAI 2021: 1434-1441 - [c153]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Comprehensible Convolutional Neural Networks via Guided Concept Learning. IJCNN 2021: 1-8 - [c152]Chris Samarinas, Wynne Hsu, Mong-Li Lee:
Improving Evidence Retrieval for Automated Explainable Fact-Checking. NAACL-HLT (Demonstrations) 2021: 84-91 - [c151]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Explanation-based Data Augmentation for Image Classification. NeurIPS 2021: 20929-20940 - [c150]Rrubaa Panchendrarajan, Wynne Hsu, Mong-Li Lee:
Emotion-Aware Event Summarization in Microblogs. WWW (Companion Volume) 2021: 486-494 - [i10]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Learning Semantically Meaningful Features for Interpretable Classifications. CoRR abs/2101.03919 (2021) - [i9]Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu:
Adversarially Robust Classifier with Covariate Shift Adaptation. CoRR abs/2102.05096 (2021) - [i8]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Towards Fully Interpretable Deep Neural Networks: Are We There Yet? CoRR abs/2106.13164 (2021) - [i7]Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu:
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. CoRR abs/2107.09951 (2021) - [i6]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts in Automated Diabetic Retinopathy Screening. CoRR abs/2107.11822 (2021) - 2020
- [j36]Michelle Yuen Ting Yip, Gilbert Lim, Zhan Wei Lim, Quang Duc Nguyen, Crystal C. Y. Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin Siew Wei Tan, Wynne Hsu, Mong-Li Lee, Tien Yin Wong, Daniel S. W. Ting:
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. npj Digit. Medicine 3 (2020) - [c149]Alex Foo, Wynne Hsu, Mong-Li Lee, Gilbert Lim, Tien Yin Wong:
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation. AAAI 2020: 13267-13272 - [c148]Tangqing Li, Wynne Hsu, Mong-Li Lee, Hai Leong Chieu:
Probabilistic Decision Modeling in Social Networks. ICTAI 2020: 466-473 - [c147]Chris Samarinas, Wynne Hsu, Mong-Li Lee:
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training. ICTAI 2020: 941-948 - [c146]Gilbert Lim, Pranav Thombre, Mong-Li Lee, Wynne Hsu:
Generative Data Augmentation for Diabetic Retinopathy Classification. ICTAI 2020: 1096-1103 - [c145]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. IJCNN 2020: 1-8 - [c144]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples. NeurIPS 2020 - [c143]Akrati Saxena, Wynne Hsu, Mong-Li Lee, Hai Leong Chieu, Lynette Ng, Loo-Nin Teow:
Mitigating Misinformation in Online Social Network with Top-k Debunkers and Evolving User Opinions. WWW (Companion Volume) 2020: 363-370 - [i5]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. CoRR abs/2004.02183 (2020) - [i4]Suman Bhoi, Mong-Li Lee, Wynne Hsu:
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records. CoRR abs/2008.13569 (2020) - [i3]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples. CoRR abs/2010.10474 (2020)
2010 – 2019
- 2019
- [j35]Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Siew Wei Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost B. 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. npj Digit. Medicine 2 (2019) - [c142]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. AAAI 2019: 2539-2546 - [c141]Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu:
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. AAAI 2019: 9510-9515 - [c140]Zhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Building Trust in Deep Learning System towards Automated Disease Detection. AAAI 2019: 9516-9521 - [c139]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Propagation Mechanism for Deep and Wide Neural Networks. CVPR 2019: 9220-9228 - [c138]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Patch-Level Regularizer for Convolutional Neural Network. ICIP 2019: 3232-3236 - [c137]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Predicting User Reported Symptoms Using a Gated Neural Network. ICTAI 2019: 368-375 - 2018
- [j34]Victor Bahl, Barbara Carminati, James Caverlee, Ing-Ray Chen, Wynne Hsu, Toru Ishida, Valérie Issarny, Surya Nepal, Indrakshi Ray, Kui Ren, Shamik Sural, Mei-Ling Shyu:
Editorial. IEEE Trans. Serv. Comput. 11(1): 1-4 (2018) - [c136]Gilbert Lim, Wynne Hsu, Mong-Li Lee:
Intermediate Goals in Deep Learning for Retinal Image Analysis. ACCV Workshops 2018: 276-281 - [c135]Michelle Yuen Ting Yip, Zhan Wei Lim, Gilbert Lim, Nguyen Duc Quang, Haslina Hamzah, Jinyi Ho, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Mong-Li Lee, Wynne Hsu, Tien Yin Wong, Daniel Shu Wei Ting:
Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning. ACCV Workshops 2018: 282-288 - [c134]Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting:
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops 2018: 309-315 - [c133]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. ICIP 2018: 1817-1821 - [c132]Dejiang Xu, Gilbert Lim, Mong-Li Lee, Wynne Hsu:
A Differential-Based Approach for Vessel Type Classification in Retinal Images. ICIP 2018: 2790-2794 - [c131]Lahari Poddar, Wynne Hsu, Mong-Li Lee, Shruti Subramaniyam:
Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: A Neural Approach. ICTAI 2018: 65-72 - [r2]Wynne Hsu:
Bayesian Classification. Encyclopedia of Database Systems (2nd ed.) 2018 - [i2]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. CoRR abs/1805.05269 (2018) - 2017
- [j33]Furong Li, Mong-Li Lee, Wynne Hsu:
Profiling Entities over Time in the Presence of Unreliable Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1522-1535 (2017) - [c130]Wee-Yong Lim, Mong-Li Lee, Wynne Hsu:
iFACT: An Interactive Framework to Assess Claims from Tweets. CIKM 2017: 787-796 - [c129]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. EMNLP 2017: 472-481 - [c128]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks. ICDE 2017: 847-858 - [c127]Furong Li, Mong-Li Lee, Wynne Hsu:
MAROON+: A System for Profiling Entities over Time. ICDE 2017: 1417-1418 - [c126]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. IJCAI 2017: 3791-3797 - [i1]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. CoRR abs/1705.05098 (2017) - 2016
- [c125]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Targeted Influence Maximization in Social Networks. CIKM 2016: 1683-1692 - [c124]Xianyan Jia, Wynne Hsu, Mong-Li Lee:
Target-Oriented Keyword Search over Temporal Databases. DEXA (1) 2016: 3-19 - [c123]Jay Nandy, Wynne Hsu, Mong-Li Lee:
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection. ICTAI 2016: 908-912 - [c122]Wee-Yong Lim, Mong-Li Lee, Wynne Hsu:
ClaimFinder: A Framework for Identifying Claims in Microblogs. #Microposts 2016: 13-20 - 2015
- [j32]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
LinkNet: capturing temporal dependencies among spatial regions. Distributed Parallel Databases 33(2): 165-200 (2015) - [c121]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Mining Brokers in Dynamic Social Networks. CIKM 2015: 523-532 - [c120]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Node Immunization over Infectious Period. CIKM 2015: 831-840 - [c119]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
k-Consistent Influencers in Network Data. DASFAA (2) 2015: 452-468 - [c118]Gilbert Lim, Yuan Cheng, Wynne Hsu, Mong-Li Lee:
Integrated Optic Disc and Cup Segmentation with Deep Learning. ICTAI 2015: 162-169 - [c117]Furong Li, Mong-Li Lee, Wynne Hsu, Wang-Chiew Tan:
Linking Temporal Records for Profiling Entities. SIGMOD Conference 2015: 593-605 - 2014
- [c116]Gilbert Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening. AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014 - [c115]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
Inferring Topic-Level Influence from Network Data. DEXA (2) 2014: 131-146 - [c114]Gang Zhao, Mong-Li Lee, Wynne Hsu:
Utilizing Purchase Intervals in Latent Clusters for Product Recommendation. SNAKDD 2014: 4:1-4:9 - [c113]Furong Li, Mong-Li Lee, Wynne Hsu:
Entity profiling with varying source reliabilities. KDD 2014: 1146-1155 - 2013
- [j31]Stéphane 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. SIGMOD Rec. 42(2): 46-51 (2013) - [j30]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Simultaneously Identifying All True Vessels From Segmented Retinal Images. IEEE Trans. Biomed. Eng. 60(7): 1851-1858 (2013) - [j29]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
Incremental Mining of Top-k Maximal Influential Paths in Network Data. Trans. Large Scale Data Knowl. Centered Syst. 10: 173-199 (2013) - [j28]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
Efficient Mining of Lag Patterns in Evolving Time Series. Trans. Large Scale Data Knowl. Centered Syst. 11: 76-101 (2013) - [c112]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu:
Distributed relational temporal difference learning. AAMAS 2013: 1077-1084 - [c111]Gang Zhao, Mong-Li Lee, Wynne Hsu, Wei Chen, Haoji Hu:
Community-based user recommendation in uni-directional social networks. CIKM 2013: 189-198 - [c110]Kailun Hu, Wynne Hsu, Mong-Li Lee:
Utilizing users' tipping points in E-commerce Recommender systems. ICDE 2013: 494-504 - [c109]Wei Chen, Wynne Hsu, Mong-Li Lee:
Making recommendations from multiple domains. KDD 2013: 892-900 - [c108]Wei Chen, Wynne Hsu, Mong-Li Lee:
Modeling user's receptiveness over time for recommendation. SIGIR 2013: 373-382 - [c107]Wei Chen, Wynne Hsu, Mong-Li Lee:
Tagcloud-based explanation with feedback for recommender systems. SIGIR 2013: 945-948 - 2012
- [c106]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu:
Coordination guided reinforcement learning. AAMAS 2012: 215-222 - [c105]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
Top-k Maximal Influential Paths in Network Data. DEXA (1) 2012: 369-383 - [c104]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
Integrating Frequent Pattern Mining from Multiple Data Domains for Classification. ICDE 2012: 1001-1012 - [c103]Dhaval Patel, Chang Sheng, Wynne Hsu, Mong-Li Lee:
Incorporating Duration Information for Trajectory Classification. ICDE 2012: 1132-1143 - [c102]Gilbert Yong San Lim, Mong-Li Lee, Wynne Hsu:
Constrained-MSER detection of retinal pathology. ICPR 2012: 2059-2062 - [c101]Gang Zhao, Mong-Li Lee, Wynne Hsu, Wei Chen:
Increasing temporal diversity with purchase intervals. SIGIR 2012: 165-174 - [e2]Hwanjo Yu, Ge Yu, Wynne Hsu, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo:
Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, International Workshops: FlashDB, ITEMS, SNSM, SIM3, DQDI, Busan, South Korea, April 15-19, 2012. Proceedings. Lecture Notes in Computer Science 7240, Springer 2012, ISBN 978-3-642-29022-0 [contents] - 2011
- [c100]Shrikant Kashyap, Mong-Li Lee, Wynne Hsu:
Similar Subsequence Search in Time Series Databases. DEXA (1) 2011: 232-246 - [c99]Zenan Zhou, Wei Wu, Xiaohui Li, Mong-Li Lee, Wynne Hsu:
MaxFirst for MaxBRkNN. ICDE 2011: 828-839 - [c98]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
Discriminative Mutation Chains in Virus Sequences. ICTAI 2011: 9-16 - [c97]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu:
Distributed Coordination Guidance in Multi-agent Reinforcement Learning. ICTAI 2011: 456-463 - [c96]Wei Chen, Wynne Hsu, Mong-Li Lee:
A unified framework for recommendations based on quaternary semantic analysis. SIGIR 2011: 1023-1032 - 2010
- [c95]Chang Sheng, Yu Zheng, Wynne Hsu, Mong-Li Lee, Xing Xie:
Answering Top-k Similar Region Queries. DASFAA (1) 2010: 186-201 - [c94]Dhaval Patel, Wynne Hsu, Mong-Li Lee, Srinivasan Parthasarathy:
Lag Patterns in Time Series Databases. DEXA (2) 2010: 209-224 - [c93]Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Tong, See-Kiong Ng:
Mining mutation chains in biological sequences. ICDE 2010: 473-484 - [e1]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents]
2000 – 2009
- 2009
- [j27]Yongping Zhang, Wynne Hsu, Mong-Li Lee:
Detection of Retinal Blood Vessels Based on Nonlinear Projections. J. Signal Process. Syst. 55(1-3): 103-112 (2009) - [c92]Huan Wang, Wynne Hsu, Mong-Li Lee:
Effective Detection of Retinal Exudates in Fundus Images. BMEI 2009: 1-5 - [c91]Mong-Li Lee, Wynne Hsu, Ling Li, Wee Hyong Tok:
Consistent Top-k Queries over Time. DASFAA 2009: 51-65 - [c90]Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee:
Detecting Aggregate Incongruities in XML. DASFAA 2009: 601-615 - [c89]Ling Li, Mong-Li Lee, Wynne Hsu, Han Zhen:
A Prüfer Based Approach to Process Top-k Queries in XML. DEXA 2009: 348-355 - [c88]Chaohai Chen, Wynne Hsu, Mong-Li Lee:
Discovering Trends and Relationships among Rules. DEXA 2009: 603-610 - [c87]Jin Chen, Liping Ji, Wynne Hsu, Kian-Lee Tan, Seung Y. Rhee:
Exploiting Domain Knowledge to Improve Biological Significance of Biclusters with Key Missing Genes. ICDE 2009: 1219-1222 - [c86]Shrikant Kashyap, Sujoy Roy, Mong-Li Lee, Wynne Hsu:
FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data. ICDM Workshops 2009: 604-609 - [c85]Dhaval Patel, Chidansh Amitkumar Bhatt, Wynne Hsu, Mong-Li Lee, Mohan S. Kankanhalli:
Analyzing Abnormal Events from Spatio-temporal Trajectories. ICDM Workshops 2009: 616-621 - [r1]Wynne Hsu:
Bayesian Classification. Encyclopedia of Database Systems 2009: 210-214 - 2008
- [j26]Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Decai Huang, Limsoon Wong:
Efficient mining of frequent XML query patterns with repeating-siblings. Inf. Softw. Technol. 50(5): 375-389 (2008) - [c84]Chang Sheng, Wynne Hsu, Mong-Li Lee, Anthony K. H. Tung:
Discovering Spatial Interaction Patterns. DASFAA 2008: 95-109 - [c83]Judice L. Y. Koh, Mong-Li Lee, Wynne Hsu, Wee Tiong Ang:
Correlation-based Attribute Outlier Detection in XML. ICDE 2008: 1522-1524 - [c82]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
Mining relationships among interval-based events for classification. SIGMOD Conference 2008: 393-404 - [c81]Chang Sheng, Wynne Hsu, Mong-Li Lee:
Discovering geographical-specific interests from web click data. LocWeb 2008: 41-48 - 2007
- [c80]