Tze-Yun Leong

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 31

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoRR (2024)
Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. AAMAS (2024)
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. CoRR (2023)
Thanh Vinh Vo, Young Lee, Tze-Yun Leong
Federated Learning of Causal Effects from Incomplete Observational Data. CoRR (2023)
Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky
Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. CogSci (2023)
Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS (2023)
Abhinit Kumar Ambastha, Tze-Yun Leong
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning. CoRR (2023)
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. NeurIPS (2022)
Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong
Bayesian federated estimation of causal effects from observational data. UAI (2022)
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
Adaptive Multi-Source Causal Inference from Observational Data. CIKM (2022)
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52 (11) (2022)
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
Adaptive Multi-Source Causal Inference. CoRR (2021)
Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong
Federated Estimation of Causal Effects from Observational Data. CoRR (2021)
Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
Causal Modeling with Stochastic Confounders. AISTATS (2021)
Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. CoRR (2020)
Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
A Causal Modeling Framework with Stochastic Confounders. CoRR (2020)
Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong
Succinct Adaptive Manifold Transfer. CIKM (2020)
Pengfei Wei, Tze-Yun Leong
Randomized Transferable Machine. CoRR (2020)
Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS (2020)
Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR (2020)
Pengfei Wei, Tze-Yun Leong
Randomized Transferable Machine. ICPR (2020)
Akshay Narayan, Tze-Yun Leong
Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. AAMAS (2019)
Parvathy Sudhir Pillai, Tze-Yun Leong
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease Detection. MedInfo (2019)
Parvathy Sudhir Pillai, Lei Feng, Tze-Yun Leong
Knowledge-Driven Interpretation of Multi-View Data in Medicine. MIE (2018)
Parvathy Sudhir Pillai, Tze-Yun Leong
Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. CoRR (2018)
Akshay Narayan, Zhuoru Li, Tze-Yun Leong
SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. AAAI (2017)
Tze-Yun Leong
Toward A Collaborative AI Framework for Assistive Dementia Care. AAAI Workshops (2017)
Zhuoru Li, Akshay Narayan, Tze-Yun Leong
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. AAAI (2017)
Abhinit Kumar Ambastha, Tze-Yun Leong
A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease. MedInfo (2017)
Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong
Scalable transfer learning in heterogeneous, dynamic environments. Artif. Intell. 247 (2017)
Zhuoru Li, Akshay Narayan, Tze-Yun Leong
A Core Task Abstraction Approach to Hierarchical Reinforcement Learning: (Extended Abstract). AAMAS (2016)
Parvathy Sudhir Pillai, Tze-Yun Leong
Fusing Heterogeneous Data for Alzheimer's Disease Classification. MedInfo (2015)
Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS (2014)
Ruizhe Liu, Shimiao Li, Bolan Su, Chew Lim Tan, Tze-Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee
Automatic detection and quantification of brain midline shift using anatomical marker model. Comput. Medical Imaging Graph. 38 (1) (2014)
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
Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. ICPR (2014)
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
Unsupervised Medical Image Classification by Combining Case-Based Classifiers. MedInfo (2013)
Tze-Yun Leong
Representation Requirements for Supporting Decision Model Formulation CoRR (2013)
Tze-Yun Leong
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report CoRR (2013)
Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong
Online Feature Selection for Model-based Reinforcement Learning. ICML (1) (2013)
Dominik Aronsky, Jan L. Talmon, Reinhold Haux, Nicolette de Keizer, Tze-Yun Leong, Charles Safran, Christoph U. Lehmann
Writing for Publication in Biomedical Informatics Journals. MedInfo (2013)
Tomi Silander, Tze-Yun Leong
A Dynamic Programming Algorithm for Learning Chain Event Graphs. Discovery Science (2013)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Construction CoRR (2013)
Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. ECML/PKDD (2) (2012)
Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong
Transferring Expectations in Model-based Reinforcement Learning. NIPS (2012)
Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong
An automated pathological class level annotation system for volumetric brain images. AMIA (2012)
Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic CoRR (2012)
Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
CAPIR: Collaborative Action Planning with Intention Recognition CoRR (2012)
Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE (2011)
Qiongyu Chen, Tze-Yun Leong
Towards A Multi-Level Game Model for Influenza Epidemics. MedInfo (2010)
Wenyuan Guo, Tze-Yun Leong
An Analytic Characterization of Model Minimization in Factored Markov Decision Processes. AAAI (2010)
Hong-Li Yin, Tze-Yun Leong
A Model Driven Approach to Imbalanced Data Sampling in Medical Decision Making. MedInfo (2010)
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
TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury. Medical Imaging: Computer-Aided Diagnosis (2010)
Truong-Huy Dinh Nguyen, Tze-Yun Leong
A Surprise Triggered Adaptive and Reactive (STAR) Framework for Online Adaptation in Non-stationary Environments. AIIDE (2009)
Guoliang Li, Tze-Yun Leong
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy. PAKDD (2009)
Tze-Yun Leong, Dominik Aronsky, M. Michael Shabot
Computer-based decision support for critical and emergency care. J. Biomed. Informatics 41 (3) (2008)
Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang
Text Mining in Radiology Reports. ICDM (2008)
Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang
Hemorrhage slices detection in brain CT images. ICPR (2008)
Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling. BMEI (1) (2008)
Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng
Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data. MedInfo (2007)
Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
ECTracker - An Efficient Algorithm for Haplotype Analysis and Classification. MedInfo (2007)
Guoliang Li, Tze-Yun Leong
Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report. MedInfo (2007)
Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang
A Set-based Hybrid Approach (SHA) for MRI Segmentation. ICARCV (2006)
Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang
Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). AMIA (2006)
Rohit Joshi, Tze-Yun Leong
Patient-Specific Inference and Situation-Dependent Classification Using Context-Sensitive Networks. AMIA (2006)
Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. DASFAA (2005)
Marek J. Druzdzel, Tze-Yun Leong
Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Chang-an Jiang, Tze-Yun Leong, Kim-Leng Poh
Pgmc: a Framework for Probabilistic Graphical Model Combination. AMIA (2005)
Rohit Joshi, Tze-Yun Leong
Challenges in an Adaptive Modeling Framework for Systems Biology. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Chang-an Jiang, Kim-Leng Poh, Tze-Yun Leong
Integration of Probabilistic Graphic Models for Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Marek J. Druzdzel, Tze-Yun Leong
Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Guoliang Li, Tze-Yun Leong
A Framework to Learn Bayesian Network from Changing, Multiple-Source Biomedical Data. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Guoliang Li, Tze-Yun Leong, Louxin Zhang
Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences. IEEE Trans. Knowl. Data Eng. 17 (8) (2005)
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
Reports on the 2005 AAAI Spring Symposium Series. AI Mag. 26 (2) (2005)
Bin Han, Tze-Yun Leong
We Did the Right Thing: An Intervention Analysis Approach to Modeling Intervened SARS Propagation in Singapore. MedInfo (2004)
Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong
Classifying Biomedical Citations without Labeled Training Examples. ICDM (2004)
Guoliang Li, Tze-Yun Leong, Louxin Zhang
Translation Initiation Sites Prediction with Mixture Gaussian Models. WABI (2004)
Swee-Seong Wong, Adrian Peng Kheong Leong, Tze-Yun Leong
Cost-Effectiveness Analysis of Colorectal Cancer Screening Strategies in Singapore: A Dynamic Decision Analytic Approach. MedInfo (2004)
Manish Sarkar, Tze-Yun Leong
Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artif. Intell. Medicine 27 (2) (2003)
Ai-Ling Zhu, Jian Li, Tze-Yun Leong
Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach. AMIA (2003)
Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai
Mining of Correlated Rules in Genome Sequences. AMIA (2002)
Manish Sarkar, Tze-Yun Leong
Fuzzy K-means clustering with missing values. AMIA (2001)
Charles Sheeba Dora, Manish Sarkar, Suman Sundaresh, David Harmanec, Tseng-Tsai Yeo, Kim-Leng Poh, Tze-Yun Leong
Building decision support systems for treating severe head injuries. SMC (2001)
Manish Sarkar, Tze-Yun Leong
Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. ICML (2001)
Jian Li, Tze-Yun Leong
PDL: a definition language for trend pattern representation and detection in medicine. AMIA (2001)
XinZhi Qi, Tze-Yun Leong
Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine. MedInfo (2001)
Manish Sarkar, Tze-Yun Leong
Top-down approaches to abstract medical time series using linear segments. SMC (2001)
Manish Sarkar, Tze-Yun Leong
Nonparametric Techniques to Extract Fuzzy Rules for Breast Cancer Diagnosis Problem. MedInfo (2001)
Ai-Ling Zhu, Tze-Yun Leong
Automating Dynamic Decision Model Construction to Support Clinical Practice Guideline Development. EWGLP (2000)
Fu Zhao, Tze-Yun Leong
A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine. AMIA (2000)
Jian Li, Tze-Yun Leong
Using linear regression functions to abstract high-frequency data in medicine. AMIA (2000)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Constructions. UAI (2000)
Manish Sarkar, Tze-Yun Leong
Application of K-nearest neighbors algorithm on breast cancer diagnosis problem. AMIA (2000)
David Harmanec, Tze-Yun Leong, Suman Sundaresh, Kim-Leng Poh, Tseng-Tsai Yeo, Ivan Ng, Thomas W. Lew
Decision analytic approach to severe head injury management. AMIA (1999)
Aik-Hiang Lau, Tze-Yun Leong
PROBES: a framework for probability elicitation from experts. AMIA (1999)
Suman Sundaresh, Tze-Yun Leong, Peter Haddawy
Supporting multi-level multi-perspective dynamic decision making in medicine. AMIA (1999)
Jianye Zheng, Tze-Yun Leong
Consistency Management in Multiple Perspective Medical Decision Analysis. MedInfo (1998)
Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong, Francis C. Seow
Dynamic decision analysis in medicine: a data-driven approach. Int. J. Medical Informatics 51 (1) (1998)
Chenggang Wang, Tze-Yun Leong
Knowledge-Based Formulation of Dynamic Decision Models. PRICAI (1998)
Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong
Induction of Diagnostic Test Strategies with Multi-Level Information Measures. MedInfo (1998)
Tze-Yun Leong
Multiple Perspective Dynamic Decision Making. Artif. Intell. 105 (1-2) (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tze-Yun Leong