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ORCIDWynne Hsu
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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2024
[j42]Xiaodi Liu
, Yingnan Liu, Mong-Li Lee, Wynne Hsu, Ming Han Lincoln Liow:
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models. npj Digit. Medicine 7(1) (2024)- [c174]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) 2024: 13326-13365 - [c173]Jiahe Steven Lee, Wynne Hsu, Mong-Li Lee:
An End-to-End Vision Transformer Approach for Image Copy Detection. CVPR Workshops 2024: 6997-7006 - [c172]Peng Qi, Zehong Yan, Wynne Hsu, Mong-Li Lee:
Sniffer: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. CVPR 2024: 13052-13062 - [c171]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Time Matters: An End-to-End Solution for Temporal Claim Verification. EMNLP (Industry Track) 2024: 657-664 - [c170]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR 2024 - [c169]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu:
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. ICML 2024 - [c168]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. IJCAI 2024: 1146-1154 - [c167]Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu:
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. ACM Multimedia 2024: 7667-7676 - [c166]Zehong Yan, Wynne Hsu, Mong-Li Lee, David Bartram-Shaw:
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis. WASSA 2024: 23-34 - [i23]Jay Zhangjie Wu, Guian Fang, Haoning Wu, Xintao Wang, Yixiao Ge, Xiaodong Cun, David Junhao Zhang, Jia-Wei Liu, Yuchao Gu, Rui Zhao, Weisi Lin, Wynne Hsu, Ying Shan, Mike Zheng Shou:
Towards A Better Metric for Text-to-Video Generation. CoRR abs/2401.07781 (2024) - [i22]Peng Qi, Zehong Yan, Wynne Hsu, Mong-Li Lee:
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. CoRR abs/2403.03170 (2024) - [i21]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR abs/2403.06392 (2024) - [i20]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. CoRR abs/2405.08586 (2024) - [i19]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR abs/2405.18357 (2024) - [i18]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Evidence-Based Temporal Fact Verification. CoRR abs/2407.15291 (2024) - [i17]Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu:
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. CoRR abs/2408.09481 (2024) - [i16]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
ChronoFact: Timeline-based Temporal Fact Verification. CoRR abs/2410.14964 (2024) - 2023
- [j41]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) - [j40]Bjorn Kaijun Betzler, Evelyn Chee, Feng He, Cynthia Ciwei Lim, Jinyi Ho, Haslina Hamzah, Ngiap Chuan Tan, Gerald Liew, Gareth J. McKay, Ruth E. Hogg, Ian S. Young, Ching-Yu Cheng, Su Chi Lim, Aaron Y. Lee, Tien Yin Wong, Mong-Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Charumathi Sabanayagam:
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. J. Am. Medical Informatics Assoc. 30(12): 1904-1914 (2023) - [c165]Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. AAAI 2023: 14178-14186 - [c164]Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. ICCV 2023: 7589-7599 - [c163]Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou:
Label-Efficient Online Continual Object Detection in Streaming Video. ICCV 2023: 19189-19198 - [c162]Suman Bhoi, Mong-Li Lee, Wynne Hsu, Ngiap Chuan Tan:
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling. NeurIPS 2023 - [c161]Alex Foo, Wynne Hsu, Mong-Li Lee:
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization. NeurIPS 2023 - [d6]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.2. Zenodo, 2023 [all versions]
- [d5]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.3. Zenodo, 2023 [all versions] - [d4]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.3. Zenodo, 2023 [all versions] - [d3]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.3. Zenodo, 2023 [all versions] - [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 - [d2]Haodi Jiang, Qin L, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.0. Zenodo, 2022 [all versions] - [d1]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Version v1.1. Zenodo, 2022 [all versions] - [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]Hanyu Li, Mong-Li Lee, Wynne Hsu, Ling Li:
A Path-Based Approach for Efficient Structural Join with Not-Predicates. DASFAA 2007: 31-42 - [c79]Judice L. Y. Koh, Mong-Li Lee, Wynne Hsu, Kai-Tak Lam:
Correlation-Based Detection of Attribute Outliers. DASFAA 2007: 164-175 - [c78]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Labeling network motifs in protein interactomes for protein function prediction. ICDE 2007: 546-555 - [c77]Yongping Zhang, Wynne Hsu, Mong-Li Lee:
Segmentation of Retinal Vessels Using Nonlinear Projections. ICIP (5) 2007: 541-544 - [c76]Minghua Zhang, Wynne Hsu, Mong-Li Lee:
Mining Prevalence-Based Ratio Patterns. ICTAI (2) 2007: 140-147 - [c75]Minghua Zhang, Wynne Hsu, Mong-Li Lee:
Finding Orientation-Sensitive Patterns in Snapshot Databases. ICTAI (2) 2007: 171-178 - [c74]Qiangfeng Peter Lau, Wynne Hsu, Mong-Li Lee, Ying Mao, Liang Chen:
Prediction of Cerebral Aneurysm Rupture. ICTAI (1) 2007: 350-357 - 2006
- [j25]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Increasing confidence of protein interactomes using network topological metrics. Bioinform. 22(16): 1998-2004 (2006) - [j24]Chenyi Xia, Wynne Hsu, Mong-Li Lee, Beng Chin Ooi:
BORDER: Efficient Computation of Boundary Points. IEEE Trans. Knowl. Data Eng. 18(2): 289-303 (2006) - [c73]Liang Huai Yang, Wynne Hsu, Mong-Li Lee, Limsoon Wong:
Identification of MicroRNA Precursors via SVM. APBC 2006: 267-276 - [c72]Ling Li, Mong-Li Lee, Wynne Hsu:
Rewriting Queries for XML Integration Systems. DEXA 2006: 138-148 - [c71]Hanyu Li, Mong-Li Lee, Wynne Hsu, Gao Cong:
An Estimation System for XPath Expressions. ICDE 2006: 54 - [c70]Junmei Wang, Wynne Hsu, Mong-Li Lee, Chang Sheng:
A Partition-Based Approach to Graph Mining. ICDE 2006: 74 - [c69]Chang Sheng, Wynne Hsu, Mong-Li Lee:
Mining Dense Periodic Patterns in Time Series Data. ICDE 2006: 115 - [c68]Xinyu Guo, Wynne Hsu, Mong-Li Lee, Tien Yin Wong:
A Tree Matching Approach for the Temporal Registration of Retinal Images. ICTAI 2006: 632-642 - [c67]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs. KDD 2006: 106-115 - [c66]Minghua Zhang, Wynne Hsu, Mong-Li Lee:
Mining progressive confident rules. KDD 2006: 803-808 - [c65]Guimei Liu, Jinyan Li, Limsoon Wong, Wynne Hsu:
Positive Borders or Negative Borders: How to Make Lossless Generator Based Representations Concise. SDM 2006: 469-473 - [c64]Yun Zheng, Wynne Hsu, Mong-Li Lee, Limsoon Wong:
Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences. VDMB 2006: 131-145 - 2005
- [j23]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Discovering reliable protein interactions from high-throughput experimental data using network topology. Artif. Intell. Medicine 35(1-2): 37-47 (2005) - [j22]Ji Zhang, Wynne Hsu, Mong-Li Lee:
Clustering in Dynamic Spatial Databases. J. Intell. Inf. Syst. 24(1): 5-27 (2005) - [j21]Huiqi Li, Wynne Hsu, Mong-Li Lee, Tien Yin Wong:
Automatic grading of retinal vessel caliber. IEEE Trans. Biomed. Eng. 52(7): 1352-1355 (2005) - [c63]Junmei Wang, Wynne Hsu, Mong-Li Lee:
A framework for mining topological patterns in spatio-temporal databases. CIKM 2005: 429-436 - [c62]Chenyi Xia, Wynne Hsu, Mong-Li Lee:
ERkNN: efficient reverse k-nearest neighbors retrieval with local kNN-distance estimation. CIKM 2005: 533-540 - [c61]Zhipeng Xie, Qing Zhang, Wynne Hsu, Mong-Li Lee:
Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques. DASFAA 2005: 523-535 - [c60]Junmei Wang, Wynne Hsu, Mong-Li Lee:
Mining Generalized Spatio-Temporal Patterns. DASFAA 2005: 649-661 - [c59]Hanyu Li, Mong-Li Lee, Wynne Hsu:
A Histogram-Based Selectivity Estimator for Skewed XML Data. DEXA 2005: 270-279 - [c58]Zhou Feng, Wynne Hsu, Mong-Li Lee:
Efficient Pattern Discovery for Semistructured Data. ICTAI 2005: 294-301 - [c57]P. M. D. S. Pallawala, Wynne Hsu, Mong-Li Lee, Say Song Goh:
Automated Microaneurysm Segmentation and Detection using Generalized Eigenvectors. WACV/MOTION 2005: 322-327 - [c56]Hanyu Li, Mong-Li Lee, Wynne Hsu:
A Path-Based Labeling Scheme for Efficient Structural Join. XSym 2005: 34-48 - [p1]Junmei Wang, Wynne Hsu, Mong-Li Lee:
Mining in Spatiotemporal Databases. Spatial Databases 2005: 272-293 - 2004
- [j20]Mong-Li Lee, Wynne Hsu, Vijay Kothari:
Cleaning the Spurious Links in Data. IEEE Intell. Syst. 19(2): 28-33 (2004) - [j19]Hanyu Li, Mong-Li Lee, Wynne Hsu, Chao Chen:
An Evaluation of XML Indexes for Structural Join. SIGMOD Rec. 33(3): 28-33 (2004) - [j18]Liang Huai Yang, Mong-Li Lee, Wynne Hsu:
Finding hot query patterns over an XQuery stream. VLDB J. 13(4): 318-332 (2004) - [c55]Liang Huai Yang, Mong-Li Lee, Wynne Hsu:
Approximate Counting of Frequent Query Patterns over XQuery Stream. DASFAA 2004: 75-87 - [c54]Xi Zhang, Liang Huai Yang, Mong-Li Lee, Wynne Hsu:
Scaling SDI Systems via Query Clustering and Aggregation. DASFAA 2004: 208-219 - [c53]Junmei Wang, Wynne Hsu, Mong-Li Lee:
Discovering Geographical Features for Location-Based Services. DASFAA 2004: 244-254 - [c52]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. ECCV (2) 2004: 139-151 - [c51]Mong-Li Lee, Hanyu Li, Wynne Hsu, Beng Chin Ooi:
A Statistical Approach for XML Query Size Estimation. EDBT Workshops 2004: 250-259 - [c50]Xiaodong Wu, Mong-Li Lee, Wynne Hsu:
A Prime Number Labeling Scheme for Dynamic Ordered XML Trees. ICDE 2004: 66-78 - [c49]Bin Fang, Wynne Hsu, Mong-Li Lee:
Techniques for temporal registration of retinal images. ICIP 2004: 1089-1092 - [c48]Junmei Wang, Wynne Hsu, Mong-Li Lee, Jason Tsong-Li Wang:
FlowMiner: Finding Flow Patterns in Spatio-Temporal Databases. ICTAI 2004: 14-21 - [c47]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology. ICTAI 2004: 368-372 - [c46]Wynne Hsu, Mong-Li Lee, Xiaodong Wu:
Path-Augmented Keyword Search for XML Documents. ICTAI 2004: 526-530 - [c45]Zhipeng Xie, Wynne Hsu, Mong-Li Lee:
Mode Committee: A Novel Ensemble Method by Clustering and Local Learning. ICTAI 2004: 628-633 - [c44]Jianghui Liu, Jason T. L. Wang, Wynne Hsu, Katherine G. Herbert:
XML Clustering by Principal Component Analysis. ICTAI 2004: 658-662 - [c43]Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Xinyu Guo:
2PXMiner: an efficient two pass mining of frequent XML query patterns. KDD 2004: 731-736 - [c42]Ren Lu, Mong-Li Lee, Wynne Hsu:
Using Interval Association Rules to Identify Dubious Data Values. WAIM 2004: 528-538 - 2003
- [j17]Yuna Hou, Wynne Hsu, Mong-Li Lee, Chris Bystroff:
Efficient remote homology detection using local structure. Bioinform. 19(17): 2294-2301 (2003) - [c41]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. CAIP 2003: 82-89 - [c40]Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Sumit Acharya:
Mining Frequent Quer Patterns from XML Queries. DASFAA 2003: 355-362 - [c39]Huiqi Li, Wynne Hsu, Mong-Li Lee, Hongyu Wang:
A piecewise Gaussian model for profiling and differentiating retinal vessels. ICIP (1) 2003: 1069-1072 - [c38]Jin Chen, Wynne Hsu, Mong-Li Lee:
Order-Sensitive Clustering for Remote Homologous Protein Detection. ICTAI 2003: 26- - [c37]Zhipeng Xie, Wynne Hsu, Mong-Li Lee:
Generalization of Classification Rules. ICTAI 2003: 522-529 - [c36]Seng Chuan Tay, Wynne Hsu, Kim Hwa Lim, Lee Chen Yap:
Spatial data mining: clustering of hot spots and pattern recognition. IGARSS 2003: 3685-3687 - [c35]Wynne Hsu, Jing Dai, Mong-Li Lee:
Mining viewpoint patterns in image databases. KDD 2003: 553-558 - [c34]Liang Huai Yang, Mong-Li Lee, Wynne Hsu:
Efficient Mining of XML Query Patterns for Caching. VLDB 2003: 69-80 - [c33]Mong-Li Lee, Wynne Hsu, Christian S. Jensen, Bin Cui, Keng Lik Teo:
Supporting Frequent Updates in R-Trees: A Bottom-Up Approach. VLDB 2003: 608-619 - 2002
- [j16]Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee:
Concept lattice based composite classifiers for high predictability. J. Exp. Theor. Artif. Intell. 14(2-3): 143-156 (2002) - [j15]Wynne Hsu, Mong-Li Lee, Ji Zhang:
Image Mining: Trends and Developments. J. Intell. Inf. Syst. 19(1): 7-23 (2002) - [c32]Mong-Li Lee, Boon Chin Chua, Wynne Hsu, Kian-Lee Tan:
Efficient evaluation of multiple queries on streaming XML data. CIKM 2002: 118-125 - [c31]Mong-Li Lee, Liang Huai Yang, Wynne Hsu, Xia Yang:
XClust: clustering XML schemas for effective integration. CIKM 2002: 292-299 - [c30]Bin Fang, Wynne Hsu, Mong-Li Lee:
Tumor cell identification using features rules. KDD 2002: 495-500 - [c29]Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee:
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. PAKDD 2002: 104-114 - [c28]Wynne Hsu, Mong-Li Lee, Beng Chin Ooi, Pranab Kumar Mohanty, Keng Lik Teo, Chenyi Xia:
Advanced Database Technologies in a Diabetic Healthcare System. VLDB 2002: 1059-1062 - 2001
- [c27]Wynne Hsu, P. M. D. S. Pallawala, Mong-Li Lee, Kah-Guan Au Eong:
The Role of Domain Knowledge in the Detection of Retinal Hard Exudates. CVPR (2) 2001: 246-251 - [c26]Ji Zhang, Wynne Hsu, Mong-Li Lee:
An Information-Driven Framework for Image Mining. DEXA 2001: 232-242 - [c25]Ji Zhang, Wynne Hsu, Mong-Li Lee:
Image Mining: Issues, Frameworks and Techniques. MDM/KDD 2001: 13-20 - [c24]Bing Liu, Wynne Hsu, Yiming Ma:
Identifying non-actionable association rules. KDD 2001: 329-334 - [c23]Bing Liu, Wynne Hsu, Yiming Ma:
Discovering the set of fundamental rule changes. KDD 2001: 335-340 - 2000
- [j14]Wynne Hsu, Bing Liu:
Conceptual design: issues and challenges. Comput. Aided Des. 32(14): 849-850 (2000) - [j13]Bing Liu, Wynne Hsu, Shu Chen, Yiming Ma:
Analyzing the Subjective Interestingness of Association Rules. IEEE Intell. Syst. 15(5): 47-55 (2000) - [j12]Wynne Hsu, Tat-Seng Chua, Hung Keng Pung:
Approximating Content-Based Object-Level Image Retrieval. Multim. Tools Appl. 12(1): 59-79 (2000) - [j11]Hung Keng Pung, Wynne Hsu, Bhawani S. Sapkota, Lawrence W. C. Wong:
A CORBA Based QOS Support for Distributed Multimedia Applications. Multim. Tools Appl. 12(2/3): 209-233 (2000) - [c22]Bing Liu, Minqing Hu, Wynne Hsu:
Intuitive Representation of Decision Trees Using General Rules and Exceptions. AAAI/IAAI 2000: 615-620 - [c21]Huan Wang, Wynne Hsu, Kheng Guan Goh, Mong-Li Lee:
An Effective Approach to Detect Lesions in Color Retinal Images. CVPR 2000: 2181-2186 - [c20]Bing Liu, Wynne Hsu, Heng-Siew Han, Yiyuan Xia:
Mining Changes for Real-Life Applications. DaWaK 2000: 337-346 - [c19]Bing Liu, Minqing Hu, Wynne Hsu:
Multi-level organization and summarization of the discovered rules. KDD 2000: 208-217 - [c18]Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling:
Exploration mining in diabetic patients databases: findings and conclusions. KDD 2000: 430-436 - [c17]Wynne Hsu, Mong-Li Lee, Kheng Guan Goh:
Image Mining in IRIS: Integrated Retinal Information System. SIGMOD Conference 2000: 593
1990 – 1999
- 1999
- [j10]Wynne Hsu, C. S. George Lee:
Towards an optimal degree of design coupling through fuzzy analysis. J. Intell. Fuzzy Syst. 7(4): 359-372 (1999) - [j9]Wynne Hsu, Teik Guan Tan:
Rapid Prototyping with Constraints-based Scheduling for Multimedia Applications. Multim. Tools Appl. 8(2): 175-195 (1999) - [j8]Bing Liu, Wynne Hsu, Lai-Fun Mun, Hing-Yan Lee:
Finding Interesting Patterns Using User Expectations. IEEE Trans. Knowl. Data Eng. 11(6): 817-832 (1999) - [c16]Bing Liu, Wynne Hsu, Yiming Ma:
Pruning and Summarizing the Discovered Associations. KDD 1999: 125-134 - [c15]Bing Liu, Wynne Hsu, Yiming Ma:
Mining Association Rules with Multiple Minimum Supports. KDD 1999: 337-341 - [c14]Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen:
Mining Interesting Knowledge Using DM-II. KDD 1999: 430-434 - [c13]Bing Liu, Wynne Hsu, Ke Wang, Shu Chen:
Visually Aided Exploration of Interesting Association Rules. PAKDD 1999: 380-389 - 1998
- [j7]Wynne Hsu, Irene M. Y. Woon:
Current research in the conceptual design of mechanical products. Comput. Aided Des. 30(5): 377-389 (1998) - [j6]Teik Guan Tan, Wynne Hsu:
Approximating scheduling for multimedia applications under overload conditions. Int. J. Approx. Reason. 19(1-2): 57-71 (1998) - [j5]Wynne Hsu, C. S. G. Lee, Andrew Lim:
A computer-aided product redesign system for robotic assembly. Robotica 16(3): 239-249 (1998) - [j4]Sifang Li, Wynne Hsu, Hung Keng Pung:
Twins: A Practical Vision-based 3D Mouse. Real Time Imaging 4(6): 389-401 (1998) - [j3]Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne Hsu:
Fast Image Retrieval Using Color-Spatial Information. VLDB J. 7(2): 115-128 (1998) - [c12]Bing Liu, Wynne Hsu, Yiming Ma:
Integrating Classification and Association Rule Mining. KDD 1998: 80-86 - [c11]Shengke Yu, Wynne Hsu, Hung Keng Pung:
KPN: a Petri net model for general knowledge representation and reasoning. SMC 1998: 184-189 - 1997
- [c10]Sifang Li, Wynne Hsu, Hung Keng Pung:
A Real-Time Monocular Vision Based 3D Mouse. CAIP 1997: 448-455 - [c9]Teik Guan Tan, Wynne Hsu:
Interactive Scheduling Supports for Real-Time Multimedia Execution. ICMCS 1997: 598-599 - [c8]Bing Liu, Liang-Ping Ku, Wynne Hsu:
Discovering Interesting Holes in Data. IJCAI (2) 1997: 930-935 - [c7]Bing Liu, Wynne Hsu, Shu Chen:
Using General Impressions to Analyze Discovered Classification Rules. KDD 1997: 31-36 - [c6]Teik Guan Tan, Wynne Hsu:
Scheduling multimedia applications under overload and non-deterministic conditions. IEEE Real Time Technology and Applications Symposium 1997: 178-183 - 1996
- [j2]Shun-Feng Su, C. S. George Lee, Wynne Hsu:
Automatic generation of goal regions for assembly tasks in the presence of uncertainty. IEEE Trans. Robotics Autom. 12(2): 313-323 (1996) - [c5]Bing Liu, Wynne Hsu:
Post-Analysis of Learned Rules. AAAI/IAAI, Vol. 1 1996: 828-834 - [c4]Wynne Hsu, Andrew Lim, C. S. George Lee:
Conceptual level design for assembly analysis using state transitional approach. ICRA 1996: 3355-3360 - 1995
- [c3]Wynne Hsu, C. S. George Lee:
Paradigm Shift and the Integrated Feedback Approach. ICRA 1995: 2853-2858 - [c2]Wynne Hsu, Tat-Seng Chua, Hung Keng Pung:
An Integrated Color-Spatial Approach to Content-Based Image Retrieval. ACM Multimedia 1995: 305-313 - 1993
- [j1]Wynne Hsu, C. S. George Lee, Shun-Feng Su:
Feedback approach to design for assembly by evaluation of assembly plan. Comput. Aided Des. 25(7): 395-410 (1993) - 1992
- [c1]Wynne Hsu, C. S. George Lee, Shun-Feng Su:
Feedback evaluation of assembly plans. ICRA 1992: 2419-2424
Coauthor Index
[j42] [c174] [c173] [c172] [c171] [c170] [c169] [c168] [c167] [c166] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j41] [j40] [c165] [c162] [c161] [i15] [j38] [c160] [c159] [c158] [j37] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [i10] [i9] [i8] [i6] [j36] [c149] [c148] [c147] [c146] [c145] [c144] [c143] [i5] [i4] [i3] [j35] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [i2] [j33] [c130] [c129] [c128] [c127] [c126] [i1] [c125] [c124] [c123] [c122] [j32] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [j31] [j30] [j29] [j28] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [j27] [c92] [c91] [c90] [c89] [c88] [c86] [c85] [j26] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [j25] [j24] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c64] [j23] [j22] [j21] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [p1] [j20] [j19] [j18] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c42] [j17] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [j16] [j15] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c21] [c18] [c17]
Gilbert Lim
aka: Gilbert Yong San Lim
aka: Gilbert Yong San Lim
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