Mong-Li Lee

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 74

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)
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)
Evelyn Chee, Mong-Li Lee, Wynne Hsu
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. AAAI (2023)
Evelyn Chee, Mong-Li Lee, Wynne Hsu
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. CoRR (2023)
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)
Anab Maulana Barik, Wynne Hsu, Mong-Li Lee
Incorporating External Knowledge for Evidence-based Fact Verification. WWW (Companion Volume) (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)
Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee
Learning Semantically Meaningful Features for Interpretable Classifications. CoRR (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)
Qiao Gao, Mong-Li Lee, Tok Wang Ling
Temporal Keyword Search with Aggregates and Group-By. ER (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)
Qiao Gao, Mong-Li Lee, Tok Wang Ling
Negation in Relational Keyword Search. ER (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)
Qiao Gao, Mong-Li Lee, Tok Wang Ling, Gillian Dobbie, Zhong Zeng
Analyzing Temporal Keyword Queries for Interactive Search over Temporal Databases. DEXA (1) (2018)
Qiao Gao, Mong-Li Lee, Gillian Dobbie, Zhong Zeng
A Semantic Framework for Designing Temporal SQL Databases. ER (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)
Paul Johannesson, Mong-Li Lee, Stephen W. Liddle, Andreas L. Opdahl, Oscar Pastor
Special issue on conceptual modeling - 34th International Conference on Conceptual Modeling (ER 2015). Data Knowl. Eng. 109 (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)
Tok Wang Ling, Zhong Zeng, Thuy Ngoc Le, Mong-Li Lee
ORA-semantics based keyword search in XML and relational databases. ICDE Workshops (2016)
Zhong Zeng, Mong-Li Lee, Tok Wang Ling
Answering Keyword Queries involving Aggregates and GROUPBY on Relational Databases. EDBT (2016)
Xianyan Jia, Wynne Hsu, Mong-Li Lee
Target-Oriented Keyword Search over Temporal Databases. DEXA (1) (2016)
Zhong Zeng, Mong-Li Lee, Tok Wang Ling
PowerQ: An Interactive Keyword Search Engine for Aggregate Queries on Relational Databases. EDBT (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)
Tok Wang Ling, Zhong Zeng, Mong-Li Lee, Thuy Ngoc Le
Improving the Correctness of Some Database Research Using ORA-Semantics. ER (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)
Zhong Zeng, Zhifeng Bao, Mong-Li Lee, Tok Wang Ling
Towards An Interactive Keyword Search over Relational Databases. WWW (Companion Volume) (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)
Zhong Zeng, Zhifeng Bao, Thuy Ngoc Le, Mong-Li Lee, Tok Wang Ling
ExpressQ: Identifying Keyword Context and Search Target in Relational Keyword Queries. CIKM (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)
Zhong Zeng, Zhifeng Bao, Gillian Dobbie, Mong-Li Lee, Tok Wang Ling
Semantic Path Ranking Scheme for Relational Keyword Queries. DEXA (2) (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)
Zhong Zeng, Zhifeng Bao, Mong-Li Lee, Tok Wang Ling
A Semantic Approach to Keyword Search over Relational Databases. ER (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mong-Li Lee