Tze-Yun Leong - RankMe

118 papers A* 12A 12B 10C 2Misc 15Journal 32Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction. CoRR Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze-Yun Leong
2025	A*	`conf`	Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation. ICML Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong
2025	J	`jnl`	Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic. CoRR Thanh Vinh Vo, Young Lee, Haozhe Ma, Chien Lu, Tze-Yun Leong
2025	J	`jnl`	Exploration by Random Reward Perturbation. CoRR Haozhe Ma, Guoji Fu, Zhengding Luo, Jiele Wu, Tze-Yun Leong
2025	J	`jnl`	Federated causal inference from observational data. Mach. Learn. Thanh Vinh Vo, Young Lee, Tze-Yun Leong
2025	A*	`conf`	Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. ICLR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2025	J	`jnl`	JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning. CoRR Jing Yu Lim, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu
2024	—	`conf`	Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoLLAs Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
2024	J	`jnl`	Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoRR Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
2024	J	`jnl`	Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. CoRR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2024	J	`jnl`	Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning. CoRR Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
2024	A	`conf`	Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. AAMAS Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2024	A*	`conf`	Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. ICML Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong
2023	J	`jnl`	Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning. CoRR Abhinit Kumar Ambastha, Tze-Yun Leong
2023	J	`jnl`	An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. CoRR Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
2023	B	`conf`	Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. CogSci Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky
2023	J	`jnl`	Federated Learning of Causal Effects from Incomplete Observational Data. CoRR Thanh Vinh Vo, Young Lee, Tze-Yun Leong
2023	A	`conf`	Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
2022	A	`conf`	Adaptive Multi-Source Causal Inference from Observational Data. CIKM Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
2022	A*	`conf`	An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. NeurIPS Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
2022	A	`conf`	Bayesian federated estimation of causal effects from observational data. UAI Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong
2022	J	`jnl`	Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2021	J	`jnl`	Adaptive Multi-Source Causal Inference. CoRR Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
2021	A	`conf`	Causal Modeling with Stochastic Confounders. AISTATS Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
2021	J	`jnl`	Federated Estimation of Causal Effects from Observational Data. CoRR Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong
2020	J	`jnl`	A Causal Modeling Framework with Stochastic Confounders. CoRR Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
2020	A	`conf`	Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
2020	J	`jnl`	Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. CoRR Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong
2020	B	`conf`	Randomized Transferable Machine. ICPR Pengfei Wei, Tze-Yun Leong
2020	J	`jnl`	Randomized Transferable Machine. CoRR Pengfei Wei, Tze-Yun Leong
2020	J	`jnl`	Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
2020	A	`conf`	Succinct Adaptive Manifold Transfer. CIKM Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong
2019	A	`conf`	Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. AAMAS Akshay Narayan, Tze-Yun Leong
2019	—	`conf`	Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease Detection. MedInfo Parvathy Sudhir Pillai, Tze-Yun Leong
2018	—	`conf`	Knowledge-Driven Interpretation of Multi-View Data in Medicine. MIE Parvathy Sudhir Pillai, Lei Feng, Tze-Yun Leong
2018	J	`jnl`	Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. CoRR Parvathy Sudhir Pillai, Tze-Yun Leong
2017	—	`conf`	A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease. MedInfo Abhinit Kumar Ambastha, Tze-Yun Leong
2017	A*	`conf`	An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. AAAI Zhuoru Li, Akshay Narayan, Tze-Yun Leong
2017	A*	`conf`	SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. AAAI Akshay Narayan, Zhuoru Li, Tze-Yun Leong
2017	J	`jnl`	Scalable transfer learning in heterogeneous, dynamic environments. Artif. Intell. Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong
2017	—	`conf`	Toward A Collaborative AI Framework for Assistive Dementia Care. AAAI Workshops Tze-Yun Leong
2016	A	`conf`	A Core Task Abstraction Approach to Hierarchical Reinforcement Learning: (Extended Abstract). AAMAS Zhuoru Li, Akshay Narayan, Tze-Yun Leong
2015	—	`conf`	Fusing Heterogeneous Data for Alzheimer's Disease Classification. MedInfo Parvathy Sudhir Pillai, Tze-Yun Leong
2014	B	`conf`	Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. ICPR Bolan Su, Thien Anh Dinh, Abhinit Kumar Ambastha, Tianxia Gong, Tomi Silander, Shijian Lu, C. C. Tchoyoson Lim, Boon Chuan Pang, Cheng Kiang Lee, Tze-Yun Leong, Chew Lim Tan
2014	J	`jnl`	Automatic detection and quantification of brain midline shift using anatomical marker model. Comput. Medical Imaging Graph. Ruizhe Liu, Shimiao Li, Bolan Su, Chew Lim Tan, Tze-Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee
2014	A*	`conf`	Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong
2013	B	`conf`	A Dynamic Programming Algorithm for Learning Chain Event Graphs. Discovery Science Tomi Silander, Tze-Yun Leong
2013	J	`jnl`	Causal Mechanism-based Model Construction CoRR Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
2013	—	`conf`	Online Feature Selection for Model-based Reinforcement Learning. ICML (1) Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong
2013	J	`jnl`	Representation Requirements for Supporting Decision Model Formulation CoRR Tze-Yun Leong
2013	J	`jnl`	Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report CoRR Tze-Yun Leong
2013	—	`conf`	Unsupervised Medical Image Classification by Combining Case-Based Classifiers. MedInfo Thien Anh Dinh, Tomi Silander, Bolan Su, Tianxia Gong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Chew Lim Tan, Tze-Yun Leong
2013	—	`conf`	Writing for Publication in Biomedical Informatics Journals. MedInfo Dominik Aronsky, Jan L. Talmon, Reinhold Haux, Nicolette de Keizer, Tze-Yun Leong, Charles Safran, Christoph U. Lehmann
2012	Misc	`conf`	An automated pathological class level annotation system for volumetric brain images. AMIA Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong
2012	J	`jnl`	Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic CoRR Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
2012	—	`conf`	Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. ECML/PKDD (2) Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
2012	J	`jnl`	CAPIR: Collaborative Action Planning with Intention Recognition CoRR Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2012	—	`conf`	Transferring Expectations in Model-based Reinforcement Learning. NIPS Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong
2011	—	`conf`	CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2010	—	`conf`	A Model Driven Approach to Imbalanced Data Sampling in Medical Decision Making. MedInfo Hong-Li Yin, Tze-Yun Leong
2010	A*	`conf`	An Analytic Characterization of Model Minimization in Factored Markov Decision Processes. AAAI Wenyuan Guo, Tze-Yun Leong
2010	—	`conf`	TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury. Computer-Aided Diagnosis Shimiao Li, Tianxia Gong, Jie Wang, Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Qi Tian, Zhuo Zhang
2010	—	`conf`	Towards A Multi-Level Game Model for Influenza Epidemics. MedInfo Qiongyu Chen, Tze-Yun Leong
2009	—	`conf`	A Surprise Triggered Adaptive and Reactive (STAR) Framework for Online Adaptation in Non-stationary Environments. AIIDE Truong-Huy Dinh Nguyen, Tze-Yun Leong
2009	B	`conf`	Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy. PAKDD Guoliang Li, Tze-Yun Leong
2008	J	`jnl`	Computer-based decision support for critical and emergency care. J. Biomed. Informatics Tze-Yun Leong, Dominik Aronsky, M. Michael Shabot
2008	B	`conf`	Hemorrhage slices detection in brain CT images. ICPR Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang
2008	—	`conf`	Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling. BMEI (1) Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu
2008	A*	`conf`	Text Mining in Radiology Reports. ICDM Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang
2007	—	`conf`	Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report. MedInfo Guoliang Li, Tze-Yun Leong
2007	—	`conf`	ECTracker - An Efficient Algorithm for Haplotype Analysis and Classification. MedInfo Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
2007	—	`ed.`	MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems, 20-24 August, 2007, Brisbane, Australia MedInfo Klaus A. Kuhn, James R. Warren, Tze-Yun Leong
2007	—	`conf`	Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data. MedInfo Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng
2006	C	`conf`	A Set-based Hybrid Approach (SHA) for MRI Segmentation. ICARCV Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang
2006	Misc	`conf`	Patient-Specific Inference and Situation-Dependent Classification Using Context-Sensitive Networks. AMIA Rohit Joshi, Tze-Yun Leong
2006	Misc	`conf`	Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). AMIA Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang
2005	—	`conf`	A Framework to Learn Bayesian Network from Changing, Multiple-Source Biomedical Data. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Guoliang Li, Tze-Yun Leong
2005	—	`conf`	Challenges in an Adaptive Modeling Framework for Systems Biology. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Rohit Joshi, Tze-Yun Leong
2005	—	`conf`	Integration of Probabilistic Graphic Models for Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Chang-an Jiang, Kim-Leng Poh, Tze-Yun Leong
2005	B	`conf`	LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. DASFAA Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
2005	—	`conf`	Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Marek J. Druzdzel, Tze-Yun Leong
2005	Misc	`conf`	Pgmc: a Framework for Probabilistic Graphical Model Combination. AMIA Chang-an Jiang, Tze-Yun Leong, Kim-Leng Poh
2005	—	`conf`	Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Marek J. Druzdzel, Tze-Yun Leong
2005	J	`jnl`	Reports on the 2005 AAAI Spring Symposium Series. AI Mag. Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro M. Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann LuperFoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen
2005	J	`jnl`	Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences. IEEE Trans. Knowl. Data Eng. Guoliang Li, Tze-Yun Leong, Louxin Zhang
2004	A*	`conf`	Classifying Biomedical Citations without Labeled Training Examples. ICDM Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong
2004	—	`conf`	Cost-Effectiveness Analysis of Colorectal Cancer Screening Strategies in Singapore: A Dynamic Decision Analytic Approach. MedInfo Swee-Seong Wong, Adrian Peng Kheong Leong, Tze-Yun Leong
2004	C	`conf`	Translation Initiation Sites Prediction with Mixture Gaussian Models. WABI Guoliang Li, Tze-Yun Leong, Louxin Zhang
2004	—	`conf`	We Did the Right Thing: An Intervention Analysis Approach to Modeling Intervened SARS Propagation in Singapore. MedInfo Bin Han, Tze-Yun Leong
2003	Misc	`conf`	Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach. AMIA Ai-Ling Zhu, Jian Li, Tze-Yun Leong
2003	J	`jnl`	Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artif. Intell. Medicine Manish Sarkar, Tze-Yun Leong
2002	Misc	`conf`	Mining of Correlated Rules in Genome Sequences. AMIA Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
2001	A*	`conf`	Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. ICML Manish Sarkar, Tze-Yun Leong
2001	B	`conf`	Building decision support systems for treating severe head injuries. SMC Charles Sheeba Dora, Manish Sarkar, Suman Sundaresh, David Harmanec, Tseng-Tsai Yeo, Kim-Leng Poh, Tze-Yun Leong
2001	—	`conf`	Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine. MedInfo XinZhi Qi, Tze-Yun Leong
2001	Misc	`conf`	Fuzzy K-means clustering with missing values. AMIA Manish Sarkar, Tze-Yun Leong
2001	—	`conf`	Nonparametric Techniques to Extract Fuzzy Rules for Breast Cancer Diagnosis Problem. MedInfo Manish Sarkar, Tze-Yun Leong
2001	Misc	`conf`	PDL: a definition language for trend pattern representation and detection in medicine. AMIA Jian Li, Tze-Yun Leong
2001	B	`conf`	Top-down approaches to abstract medical time series using linear segments. SMC Manish Sarkar, Tze-Yun Leong
2000	Misc	`conf`	A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine. AMIA Fu Zhao, Tze-Yun Leong
2000	Misc	`conf`	Application of K-nearest neighbors algorithm on breast cancer diagnosis problem. AMIA Manish Sarkar, Tze-Yun Leong
2000	—	`conf`	Automating Dynamic Decision Model Construction to Support Clinical Practice Guideline Development. EWGLP Ai-Ling Zhu, Tze-Yun Leong
2000	A	`conf`	Causal Mechanism-based Model Constructions. UAI Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
2000	Misc	`conf`	Using linear regression functions to abstract high-frequency data in medicine. AMIA Jian Li, Tze-Yun Leong
1999	Misc	`conf`	Decision analytic approach to severe head injury management. AMIA David Harmanec, Tze-Yun Leong, Suman Sundaresh, Kim-Leng Poh, Tseng-Tsai Yeo, Ivan Ng, Thomas W. Lew
1999	Misc	`conf`	PROBES: a framework for probability elicitation from experts. AMIA Aik-Hiang Lau, Tze-Yun Leong
1999	Misc	`conf`	Supporting multi-level multi-perspective dynamic decision making in medicine. AMIA Suman Sundaresh, Tze-Yun Leong, Peter Haddawy
1998	—	`conf`	Consistency Management in Multiple Perspective Medical Decision Analysis. MedInfo Jianye Zheng, Tze-Yun Leong
1998	J	`jnl`	Dynamic decision analysis in medicine: a data-driven approach. Int. J. Medical Informatics Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong, Francis C. Seow
1998	—	`conf`	Induction of Diagnostic Test Strategies with Multi-Level Information Measures. MedInfo Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong
1998	B	`conf`	Knowledge-Based Formulation of Dynamic Decision Models. PRICAI Chenggang Wang, Tze-Yun Leong
1998	—	`conf`	Modelling Medical Decisions in DynaMoL: A New General Framework of Dynamic Decision Analysis. MedInfo Tze-Yun Leong, Cungen Cao
1998	J	`jnl`	Multiple Perspective Dynamic Decision Making. Artif. Intell. Tze-Yun Leong
1997	Misc	`conf`	Learning Conditional Probabilities for Dynamic Influence Structures in Medical Decision Models. AMIA Cungen Cao, Tze-Yun Leong
1996	A*	`conf`	Multiple Perspective Reasoning. KR Tze-Yun Leong
1994	—	`—`	An integrated approach to dynamic decision making under uncertainty. Tze-Yun Leong
1992	A	`conf`	Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. UAI Tze-Yun Leong
1991	A	`conf`	Representation Requirements for Supporting Decision Model Formulation. UAI Tze-Yun Leong