Wynne Hsu

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 76

Top Venues

Publications

Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu
Cross-Domain Feature Augmentation for Domain Generalization. CoRR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR (2024)
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 (2024)
Peng Qi, Zehong Yan, Wynne Hsu, Mong-Li Lee
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection. CoRR (2024)
Anab Maulana Barik, Wynne Hsu, Mong-Li Lee
Evidence-Based Temporal Fact Verification. CoRR (2024)
Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR (2024)
Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu
Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) (2024)
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) (2023)
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) (2023)
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)
Alex Foo, Wynne Hsu, Mong-Li Lee
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization. NeurIPS (2023)
Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou
Label-Efficient Online Continual Object Detection in Streaming Video. ICCV (2023)
Evelyn Chee, Mong-Li Lee, Wynne Hsu
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. AAAI (2023)
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)
Evelyn Chee, Mong-Li Lee, Wynne Hsu
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. CoRR (2023)
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 (2022)
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)
Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou
Label-Efficient Online Continual Object Detection in Streaming Video. CoRR (2022)
Anab Maulana Barik, Wynne Hsu, Mong-Li Lee
Incorporating External Knowledge for Evidence-based Fact Verification. WWW (Companion Volume) (2022)
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 (2022)
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 (2022)
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 (2022)
Alex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan
DP-GAT: A Framework for Image-based Disease Progression Prediction. KDD (2022)
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) (2022)
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 (2021)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
Learning Semantically Meaningful Features for Interpretable Classifications. CoRR (2021)
Jay Nandy, Wynne Hsu, Mong Li Le
Distributional Shifts In Automated Diabetic Retinopathy Screening. ICIP (2021)
Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu
Adversarially Robust Classifier with Covariate Shift Adaptation. CoRR (2021)
Dejiang Xu, Mong-Li Lee, Wynne Hsu
Classification with Dynamic Data Augmentation. ICTAI (2021)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
Towards Fully Interpretable Deep Neural Networks: Are We There Yet? CoRR (2021)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
Explanation-based Data Augmentation for Image Classification. NeurIPS (2021)
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) (2021)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
Comprehensible Convolutional Neural Networks via Guided Concept Learning. IJCNN (2021)
Chris Samarinas, Wynne Hsu, Mong-Li Lee
Improving Evidence Retrieval for Automated Explainable Fact-Checking. NAACL-HLT (Demonstrations) (2021)
Rrubaa Panchendrarajan, Wynne Hsu, Mong-Li Lee
Emotion-Aware Event Summarization in Microblogs. WWW (Companion Volume) (2021)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Distributional Shifts in Automated Diabetic Retinopathy Screening. CoRR (2021)
Steven Jia He Lee, Tangqing Li, Wynne Hsu, Mong-Li Lee
Repurpose Image Identification for Fake News Detection. DEXA (2) (2021)
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)
Suman Bhoi, Mong-Li Lee, Wynne Hsu
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records. CoRR (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Approximate Manifold Defense Against Multiple Adversarial Perturbations. IJCNN (2020)
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)
Chris Samarinas, Wynne Hsu, Mong-Li Lee
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training. ICTAI (2020)
Alex Foo, Wynne Hsu, Mong-Li Lee, Gilbert Lim, Tien Yin Wong
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation. AAAI (2020)
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)
Tangqing Li, Wynne Hsu, Mong-Li Lee, Hai Leong Chieu
Probabilistic Decision Modeling in Social Networks. ICTAI (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Approximate Manifold Defense Against Multiple Adversarial Perturbations. CoRR (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples. NeurIPS (2020)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples. CoRR (2020)
Gilbert Lim, Pranav Thombre, Mong-Li Lee, Wynne Hsu
Generative Data Augmentation for Diabetic Retinopathy Classification. ICTAI (2020)
Dejiang Xu, Mong-Li Lee, Wynne Hsu
Propagation Mechanism for Deep and Wide Neural Networks. CVPR (2019)
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)
Dejiang Xu, Mong-Li Lee, Wynne Hsu
Patch-Level Regularizer for Convolutional Neural Network. ICIP (2019)
Lahari Poddar, Wynne Hsu, Mong-Li Lee
Predicting User Reported Symptoms Using a Gated Neural Network. ICTAI (2019)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. AAAI (2019)
Zhan Wei Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong
Building Trust in Deep Learning System towards Automated Disease Detection. AAAI (2019)
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)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Normal Similarity Network for Generative Modelling. CoRR (2018)
Gilbert Lim, Wynne Hsu, Mong-Li Lee
Intermediate Goals in Deep Learning for Retinal Image Analysis. ACCV Workshops (2018)
Lahari Poddar, Wynne Hsu, Mong-Li Lee, Shruti Subramaniyam
Predicting Stances in Twitter Conversations for Detecting Veracity of Rumors: A Neural Approach. ICTAI (2018)
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)
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)
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) (2018)
Jay Nandy, Wynne Hsu, Mong-Li Lee
Normal Similarity Network for Generative Modelling. ICIP (2018)
Dejiang Xu, Gilbert Lim, Mong-Li Lee, Wynne Hsu
A Differential-Based Approach for Vessel Type Classification in Retinal Images. ICIP (2018)
Wee-Yong Lim, Mong-Li Lee, Wynne Hsu
iFACT: An Interactive Framework to Assess Claims from Tweets. CIKM (2017)
Furong Li, Mong-Li Lee, Wynne Hsu
MAROON+: A System for Profiling Entities over Time. ICDE (2017)
Chonggang Song, Wynne Hsu, Mong-Li Lee
Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks. ICDE (2017)
Lahari Poddar, Wynne Hsu, Mong-Li Lee
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. EMNLP (2017)
Lahari Poddar, Wynne Hsu, Mong-Li Lee
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. IJCAI (2017)
Furong Li, Mong-Li Lee, Wynne Hsu
Profiling Entities over Time in the Presence of Unreliable Sources. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Lahari Poddar, Wynne Hsu, Mong-Li Lee
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach. CoRR (2017)
Xianyan Jia, Wynne Hsu, Mong-Li Lee
Target-Oriented Keyword Search over Temporal Databases. DEXA (1) (2016)
Chonggang Song, Wynne Hsu, Mong-Li Lee
Targeted Influence Maximization in Social Networks. CIKM (2016)
Jay Nandy, Wynne Hsu, Mong-Li Lee
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection. ICTAI (2016)
Wee-Yong Lim, Mong-Li Lee, Wynne Hsu
ClaimFinder: A Framework for Identifying Claims in Microblogs. #Microposts (2016)
Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel
k-Consistent Influencers in Network Data. DASFAA (2) (2015)
Furong Li, Mong-Li Lee, Wynne Hsu, Wang-Chiew Tan
Linking Temporal Records for Profiling Entities. SIGMOD Conference (2015)
Gilbert Lim, Yuan Cheng, Wynne Hsu, Mong-Li Lee
Integrated Optic Disc and Cup Segmentation with Deep Learning. ICTAI (2015)
Chonggang Song, Wynne Hsu, Mong-Li Lee
Mining Brokers in Dynamic Social Networks. CIKM (2015)
Dhaval Patel, Wynne Hsu, Mong-Li Lee
LinkNet: capturing temporal dependencies among spatial regions. Distributed Parallel Databases 33 (2) (2015)
Chonggang Song, Wynne Hsu, Mong-Li Lee
Node Immunization over Infectious Period. CIKM (2015)
Furong Li, Mong-Li Lee, Wynne Hsu
Entity profiling with varying source reliabilities. KDD (2014)
Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel
Inferring Topic-Level Influence from Network Data. DEXA (2) (2014)
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)
Gang Zhao, Mong-Li Lee, Wynne Hsu
Utilizing Purchase Intervals in Latent Clusters for Product Recommendation. SNAKDD (2014)
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) (2013)
Dhaval Patel, Wynne Hsu, Mong-Li Lee
Efficient Mining of Lag Patterns in Evolving Time Series. Trans. Large Scale Data Knowl. Centered Syst. 11 (2013)
Wei Chen, Wynne Hsu, Mong-Li Lee
Making recommendations from multiple domains. KDD (2013)
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 (2013)
Wei Chen, Wynne Hsu, Mong-Li Lee
Tagcloud-based explanation with feedback for recommender systems. SIGIR (2013)
Wei Chen, Wynne Hsu, Mong-Li Lee
Modeling user's receptiveness over time for recommendation. SIGIR (2013)
Kailun Hu, Wynne Hsu, Mong-Li Lee
Utilizing users' tipping points in E-commerce Recommender systems. ICDE (2013)
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) (2013)
Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu
Distributed relational temporal difference learning. AAMAS (2013)
Gang Zhao, Mong-Li Lee, Wynne Hsu, Wei Chen, Haoji Hu
Community-based user recommendation in uni-directional social networks. CIKM (2013)
Dhaval Patel, Chang Sheng, Wynne Hsu, Mong-Li Lee
Incorporating Duration Information for Trajectory Classification. ICDE (2012)
Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel
Top-k Maximal Influential Paths in Network Data. DEXA (1) (2012)
Dhaval Patel, Wynne Hsu, Mong-Li Lee
Integrating Frequent Pattern Mining from Multiple Data Domains for Classification. ICDE (2012)
Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu
Coordination guided reinforcement learning. AAMAS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wynne Hsu