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ORCIDMong-Li Lee
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- affiliation: National University of Singapore (NUS)
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2020 – today
- 2024
[j37]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)- [c197]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 - [c196]Jiahe Steven Lee, Wynne Hsu, Mong-Li Lee:
An End-to-End Vision Transformer Approach for Image Copy Detection. CVPR Workshops 2024: 6997-7006 - [c195]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 - [c194]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 - [c193]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR 2024 - [c192]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 - [c191]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. IJCAI 2024: 1146-1154 - [c190]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 - [c189]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 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Evidence-Based Temporal Fact Verification. CoRR abs/2407.15291 (2024) - [i12]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) - [i11]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
ChronoFact: Timeline-based Temporal Fact Verification. CoRR abs/2410.14964 (2024) - 2023
- [j36]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) - [j35]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) - [c188]Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. AAAI 2023: 14178-14186 - [c187]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 - [c186]Alex Foo, Wynne Hsu, Mong-Li Lee:
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization. NeurIPS 2023 - [i10]Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. CoRR abs/2303.13752 (2023) - 2022
- [j34]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) - [c185]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 - [c184]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 - [c183]Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Incorporating External Knowledge for Evidence-based Fact Verification. WWW (Companion Volume) 2022: 429-437 - 2021
- [j33]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) - [c182]Steven Jia He Lee, Tangqing Li, Wynne Hsu, Mong-Li Lee:
Repurpose Image Identification for Fake News Detection. DEXA (2) 2021: 35-47 - [c181]Qiao Gao, Mong-Li Lee, Tok Wang Ling:
Temporal Keyword Search with Aggregates and Group-By. ER 2021: 160-175 - [c180]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts In Automated Diabetic Retinopathy Screening. ICIP 2021: 255-259 - [c179]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 - [c178]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Classification with Dynamic Data Augmentation. ICTAI 2021: 1434-1441 - [c177]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Comprehensible Convolutional Neural Networks via Guided Concept Learning. IJCNN 2021: 1-8 - [c176]Chris Samarinas, Wynne Hsu, Mong-Li Lee:
Improving Evidence Retrieval for Automated Explainable Fact-Checking. NAACL-HLT (Demonstrations) 2021: 84-91 - [c175]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Explanation-based Data Augmentation for Image Classification. NeurIPS 2021: 20929-20940 - [c174]Rrubaa Panchendrarajan, Wynne Hsu, Mong-Li Lee:
Emotion-Aware Event Summarization in Microblogs. WWW (Companion Volume) 2021: 486-494 - [i9]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Learning Semantically Meaningful Features for Interpretable Classifications. CoRR abs/2101.03919 (2021) - [i8]Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu:
Adversarially Robust Classifier with Covariate Shift Adaptation. CoRR abs/2102.05096 (2021) - [i7]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Towards Fully Interpretable Deep Neural Networks: Are We There Yet? CoRR abs/2106.13164 (2021) - [i6]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts in Automated Diabetic Retinopathy Screening. CoRR abs/2107.11822 (2021) - 2020
- [j32]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) - [c173]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 - [c172]Tangqing Li, Wynne Hsu, Mong-Li Lee, Hai Leong Chieu:
Probabilistic Decision Modeling in Social Networks. ICTAI 2020: 466-473 - [c171]Chris Samarinas, Wynne Hsu, Mong-Li Lee:
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training. ICTAI 2020: 941-948 - [c170]Gilbert Lim, Pranav Thombre, Mong-Li Lee, Wynne Hsu:
Generative Data Augmentation for Diabetic Retinopathy Classification. ICTAI 2020: 1096-1103 - [c169]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. IJCNN 2020: 1-8 - [c168]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples. NeurIPS 2020 - [c167]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
- [j31]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) - [c166]Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. AAAI 2019: 2539-2546 - [c165]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 - [c164]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 - [c163]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Propagation Mechanism for Deep and Wide Neural Networks. CVPR 2019: 9220-9228 - [c162]Qiao Gao, Mong-Li Lee, Tok Wang Ling:
Negation in Relational Keyword Search. ER 2019: 173-188 - [c161]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Patch-Level Regularizer for Convolutional Neural Network. ICIP 2019: 3232-3236 - [c160]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Predicting User Reported Symptoms Using a Gated Neural Network. ICTAI 2019: 368-375 - 2018
- [c159]Gilbert Lim, Wynne Hsu, Mong-Li Lee:
Intermediate Goals in Deep Learning for Retinal Image Analysis. ACCV Workshops 2018: 276-281 - [c158]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 - [c157]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 - [c156]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: 355-371 - [c155]Qiao Gao, Mong-Li Lee, Gillian Dobbie, Zhong Zeng:
A Semantic Framework for Designing Temporal SQL Databases. ER 2018: 382-396 - [c154]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. ICIP 2018: 1817-1821 - [c153]Dejiang Xu, Gilbert Lim, Mong-Li Lee, Wynne Hsu:
A Differential-Based Approach for Vessel Type Classification in Retinal Images. ICIP 2018: 2790-2794 - [c152]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 - [e11]Juan Trujillo, Karen C. Davis, Xiaoyong Du, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong-Li Lee:
Conceptual Modeling - 37th International Conference, ER 2018, Xi'an, China, October 22-25, 2018, Proceedings. Lecture Notes in Computer Science 11157, Springer 2018, ISBN 978-3-030-00846-8 [contents] - [e10]Carson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong-Li Lee:
Advances in Conceptual Modeling - ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi'an, China, October 22-25, 2018, Proceedings. Lecture Notes in Computer Science 11158, Springer 2018, ISBN 978-3-030-01390-5 [contents] - [i2]Jay Nandy, Wynne Hsu, Mong-Li Lee:
Normal Similarity Network for Generative Modelling. CoRR abs/1805.05269 (2018) - 2017
- [j30]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: 1-2 (2017) - [j29]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) - [c151]Wee-Yong Lim, Mong-Li Lee, Wynne Hsu:
iFACT: An Interactive Framework to Assess Claims from Tweets. CIKM 2017: 787-796 - [c150]Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. EMNLP 2017: 472-481 - [c149]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks. ICDE 2017: 847-858 - [c148]Furong Li, Mong-Li Lee, Wynne Hsu:
MAROON+: A System for Profiling Entities over Time. ICDE 2017: 1417-1418 - [c147]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
- [c146]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Targeted Influence Maximization in Social Networks. CIKM 2016: 1683-1692 - [c145]Xianyan Jia, Wynne Hsu, Mong-Li Lee:
Target-Oriented Keyword Search over Temporal Databases. DEXA (1) 2016: 3-19 - [c144]Zhong Zeng, Mong-Li Lee, Tok Wang Ling:
Answering Keyword Queries involving Aggregates and GROUPBY on Relational Databases. EDBT 2016: 161-172 - [c143]Zhong Zeng, Mong-Li Lee, Tok Wang Ling:
PowerQ: An Interactive Keyword Search Engine for Aggregate Queries on Relational Databases. EDBT 2016: 596-599 - [c142]Tok Wang Ling, Zhong Zeng, Mong-Li Lee, Thuy Ngoc Le:
Improving the Correctness of Some Database Research Using ORA-Semantics. ER 2016: 3-17 - [c141]Tok Wang Ling, Zhong Zeng, Thuy Ngoc Le, Mong-Li Lee:
ORA-semantics based keyword search in XML and relational databases. ICDE Workshops 2016: 157-160 - [c140]Jay Nandy, Wynne Hsu, Mong-Li Lee:
An Incremental Feature Extraction Framework for Referable Diabetic Retinopathy Detection. ICTAI 2016: 908-912 - [c139]Wee-Yong Lim, Mong-Li Lee, Wynne Hsu:
ClaimFinder: A Framework for Identifying Claims in Microblogs. #Microposts 2016: 13-20 - 2015
- [j28]Dhaval Patel, Wynne Hsu, Mong-Li Lee:
LinkNet: capturing temporal dependencies among spatial regions. Distributed Parallel Databases 33(2): 165-200 (2015) - [c138]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Mining Brokers in Dynamic Social Networks. CIKM 2015: 523-532 - [c137]Chonggang Song, Wynne Hsu, Mong-Li Lee:
Node Immunization over Infectious Period. CIKM 2015: 831-840 - [c136]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
k-Consistent Influencers in Network Data. DASFAA (2) 2015: 452-468 - [c135]Gilbert Lim, Yuan Cheng, Wynne Hsu, Mong-Li Lee:
Integrated Optic Disc and Cup Segmentation with Deep Learning. ICTAI 2015: 162-169 - [c134]Furong Li, Mong-Li Lee, Wynne Hsu, Wang-Chiew Tan:
Linking Temporal Records for Profiling Entities. SIGMOD Conference 2015: 593-605 - [c133]Zhong Zeng, Zhifeng Bao, Mong-Li Lee, Tok Wang Ling:
Towards An Interactive Keyword Search over Relational Databases. WWW (Companion Volume) 2015: 259-262 - [e9]Paul Johannesson, Mong-Li Lee, Stephen W. Liddle, Andreas L. Opdahl, Oscar Pastor López:
Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. Lecture Notes in Computer Science 9381, Springer 2015, ISBN 978-3-319-25263-6 [contents] - 2014
- [c132]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 - [c131]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: 31-40 - [c130]Zhong Zeng, Zhifeng Bao, Gillian Dobbie, Mong-Li Lee, Tok Wang Ling:
Semantic Path Ranking Scheme for Relational Keyword Queries. DEXA (2) 2014: 97-105 - [c129]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
Inferring Topic-Level Influence from Network Data. DEXA (2) 2014: 131-146 - [c128]Gang Zhao, Mong-Li Lee, Wynne Hsu:
Utilizing Purchase Intervals in Latent Clusters for Product Recommendation. SNAKDD 2014: 4:1-4:9 - [c127]Furong Li, Mong-Li Lee, Wynne Hsu:
Entity profiling with varying source reliabilities. KDD 2014: 1146-1155 - [e8]Sourav S. Bhowmick, Curtis E. Dyreson, Christian S. Jensen, Mong-Li Lee, Agus Muliantara, Bernhard Thalheim:
Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8421, Springer 2014, ISBN 978-3-319-05809-2 [contents] - [e7]Sourav S. Bhowmick, Curtis E. Dyreson, Christian S. Jensen, Mong-Li Lee, Agus Muliantara, Bernhard Thalheim:
Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8422, Springer 2014, ISBN 978-3-319-05812-2 [contents] - [e6]Wook-Shin Han, Mong-Li Lee, Agus Muliantara, Ngurah Agus Sanjaya, Bernhard Thalheim, Shuigeng Zhou:
Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM - 3 - , UnCrowd; Bali, Indonesia, April 21-24, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8505, Springer 2014, ISBN 978-3-662-43983-8 [contents] - 2013
- [j27]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) - [j26]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) - [j25]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) - [j24]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) - [c126]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu:
Distributed relational temporal difference learning. AAMAS 2013: 1077-1084 - [c125]Gang Zhao, Mong-Li Lee, Wynne Hsu, Wei Chen, Haoji Hu:
Community-based user recommendation in uni-directional social networks. CIKM 2013: 189-198 - [c124]Zhong Zeng, Zhifeng Bao, Mong-Li Lee, Tok Wang Ling:
A Semantic Approach to Keyword Search over Relational Databases. ER 2013: 241-254 - [c123]Kailun Hu, Wynne Hsu, Mong-Li Lee:
Utilizing users' tipping points in E-commerce Recommender systems. ICDE 2013: 494-504 - [c122]Wei Chen, Wynne Hsu, Mong-Li Lee:
Making recommendations from multiple domains. KDD 2013: 892-900 - [c121]Wei Chen, Wynne Hsu, Mong-Li Lee:
Modeling user's receptiveness over time for recommendation. SIGIR 2013: 373-382 - [c120]Wei Chen, Wynne Hsu, Mong-Li Lee:
Tagcloud-based explanation with feedback for recommender systems. SIGIR 2013: 945-948 - 2012
- [j23]Liang Huai Yang, Jian Zhou, Jiacheng Wang, Mong-Li Lee:
A Novel PIM System and its Effective Storage Compression Scheme. J. Softw. 7(6): 1385-1392 (2012) - [c119]Qiangfeng Peter Lau, Mong-Li Lee, Wynne Hsu:
Coordination guided reinforcement learning. AAMAS 2012: 215-222 - [c118]Enliang Xu, Wynne Hsu, Mong-Li Lee, Dhaval Patel:
Top-k Maximal Influential Paths in Network Data. DEXA (1) 2012: 369-383 - [c117]