| 2025 | ICLR | Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. | Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong |
| 2025 | ICML | Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation. | Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong |
| 2024 | ICML | Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. | Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong |
| 2023 | CogSci | Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. | Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky |
| 2022 | CIKM | Adaptive Multi-Source Causal Inference from Observational Data. | Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong |
| 2022 | UAI | Bayesian federated estimation of causal effects from observational data. | Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong |
| 2021 | AISTATS | Causal Modeling with Stochastic Confounders. | Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong |
| 2020 | CIKM | Succinct Adaptive Manifold Transfer. | Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong |
| 2020 | ICPR | Randomized Transferable Machine. | Pengfei Wei, Tze-Yun Leong |
| 2017 | AAAI | Toward A Collaborative AI Framework for Assistive Dementia Care. | Tze-Yun Leong |
| 2017 | AAAI | An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. | Zhuoru Li, Akshay Narayan, Tze-Yun Leong |
| 2017 | AAAI | SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. | Akshay Narayan, Zhuoru Li, Tze-Yun Leong |
| 2014 | ICPR | Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. | 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 |
| 2013 | DIS | A Dynamic Programming Algorithm for Learning Chain Event Graphs. | Tomi Silander, Tze-Yun Leong |
| 2013 | ICML | Online Feature Selection for Model-based Reinforcement Learning. | Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong |
| 2012 | AMIA | An automated pathological class level annotation system for volumetric brain images. | Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong |
| 2010 | AAAI | An Analytic Characterization of Model Minimization in Factored Markov Decision Processes. | Wenyuan Guo, Tze-Yun Leong |
| 2009 | PAKDD | Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy. | Guoliang Li, Tze-Yun Leong |
| 2008 | ICDM | Text Mining in Radiology Reports. | Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang |
| 2008 | ICPR | Hemorrhage slices detection in brain CT images. | Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang |
| 2006 | AMIA | Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). | Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang |
| 2006 | AMIA | Patient-Specific Inference and Situation-Dependent Classification Using Context-Sensitive Networks. | Rohit Joshi, Tze-Yun Leong |
| 2006 | ICARCV | A Set-based Hybrid Approach (SHA) for MRI Segmentation. | Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang |
| 2005 | AMIA | Pgmc: a Framework for Probabilistic Graphical Model Combination. | Chang-an Jiang, Tze-Yun Leong, Kim-Leng Poh |
| 2005 | DASFAA | LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. | Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai |
| 2004 | ICDM | Classifying Biomedical Citations without Labeled Training Examples. | Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong |
| 2004 | WABI | Translation Initiation Sites Prediction with Mixture Gaussian Models. | Guoliang Li, Tze-Yun Leong, Louxin Zhang |
| 2003 | AMIA | Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach. | Ai-Ling Zhu, Jian Li, Tze-Yun Leong |
| 2002 | AMIA | Mining of Correlated Rules in Genome Sequences. | Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai |
| 2001 | AMIA | PDL: a definition language for trend pattern representation and detection in medicine. | Jian Li, Tze-Yun Leong |
| 2001 | AMIA | Fuzzy K-means clustering with missing values. | Manish Sarkar, Tze-Yun Leong |
| 2001 | ICML | Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. | Manish Sarkar, Tze-Yun Leong |
| 2001 | SMC | Building decision support systems for treating severe head injuries. | Charles Sheeba Dora, Manish Sarkar, Suman Sundaresh, David Harmanec, Tseng-Tsai Yeo, Kim-Leng Poh, Tze-Yun Leong |
| 2001 | SMC | Top-down approaches to abstract medical time series using linear segments. | Manish Sarkar, Tze-Yun Leong |
| 2000 | AMIA | Using linear regression functions to abstract high-frequency data in medicine. | Jian Li, Tze-Yun Leong |
| 2000 | AMIA | Application of K-nearest neighbors algorithm on breast cancer diagnosis problem. | Manish Sarkar, Tze-Yun Leong |
| 2000 | AMIA | A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine. | Fu Zhao, Tze-Yun Leong |
| 2000 | UAI | Causal Mechanism-based Model Constructions. | Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong |
| 1999 | AMIA | Decision analytic approach to severe head injury management. | David Harmanec, Tze-Yun Leong, Suman Sundaresh, Kim-Leng Poh, Tseng-Tsai Yeo, Ivan Ng, Thomas W. Lew |
| 1999 | AMIA | PROBES: a framework for probability elicitation from experts. | Aik-Hiang Lau, Tze-Yun Leong |
| 1999 | AMIA | Supporting multi-level multi-perspective dynamic decision making in medicine. | Suman Sundaresh, Tze-Yun Leong, Peter Haddawy |
| 1998 | PRICAI | Knowledge-Based Formulation of Dynamic Decision Models. | Chenggang Wang, Tze-Yun Leong |
| 1997 | AMIA | Learning Conditional Probabilities for Dynamic Influence Structures in Medical Decision Models. | Cungen Cao, Tze-Yun Leong |
| 1996 | KR | Multiple Perspective Reasoning. | Tze-Yun Leong |
| 1992 | UAI | Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. | Tze-Yun Leong |
| 1991 | UAI | Representation Requirements for Supporting Decision Model Formulation. | Tze-Yun Leong |