Koch S, Hersh WR, Bellazzi R, Leong TY, Yedaly M, Al-Shorbaji N. Digital health during covid-19: Informatics dialogue with the World Health Organization. Yearb Med Inform. 2021 Apr 21. 10.1055/s-0041-1726480.

Leong T-Y. Toward a collaborative ai framework for assistive dementia care. Proceedings of the AAAI Joint Workshop on Health Intelligence (W3PHIAI'17) - co-located with the 31st AAAI Conference on Artificial Intelligence (AAAI -17); 4-5 February 2017; San Francisco, CA, USA. 2017.

Haux R, Kulikowski CA, Bakken S, de Lusignan S, Kimura M, Koch S, Mantas J, Maojo V, Marschollek M, Martin-Sanchez F, Moen A, Park HA, Sarkar IN, Leong TY, McCray AT. Research strategies for biomedical and health informatics. Some thought-provoking and critical proposals to encourage scientific debate on the nature of good research in medical informatics. Methods of Information in Medicine. 2017 Jan 2017;56(Open):e1-e10. 10.3414/ME16-01-0125

Leong TY. Toward patient-centered, personalized and personal decision support and knowledge management: A survey. Yearb Med Inform. 2012;7(1):104-12

Mitchell JA, Gerdin U, Lindberg DAB, Lovis C, Martin-Sanchez FJ, Miller RA, Shortliffe EH, Leong TY. 50 years of informatics research on decision support: What's next. Methods of Information in Medicine. 2011;50(6):525-35. 10.3414/me11-06-0004

McCray AT, Gefeller O, Aronsky D, Leong TY, Sarkar IN, Bergemann D, Lindberg DAB, van Bemmel JH, Haux R. The birth and evolution of a discipline devoted to information in biomedicine and health care as reflected in its longest running journal Methods of Information in Medicine. 2011;50(6):491-507. 10.3414/me11-06-0001

Brochhausen M, Burgun A, Ceusters W, Hasman A, Leong TY, Musen M, Oliveira JL, Peleg M, Rector A, Schulz S. Discussion of "biomedical ontologies: Toward scientific debate". Methods of Information in Medicine. 2011;50(3):217-36

Haux R, Aronsky D, Leong T-Y, McCray AT. Methods in year 50: Preserving the past and preparing for the future. . Methods of Information in Medicine. [Editorial]. 2011;50(1):1-6

Wei PF, Leong TY. Randomized transferable machine Proceedings of the 2020 25th International Conference on Pattern Recognition (ICPR); 10-15 Jan. 2021 2021. p. 8711-18.

Wei P, Ke Y, Qu X, Leong TY. Subdomain adaptation with manifolds discrepancy alignment. IEEE Transactions on Cybernetics. 2021:1-11. 10.1109/TCYB.2021.3071244

Wei P, Ke Y, Xu Z, Leong T-Y. Succinct adaptive manifold transfer Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM ’20); 19–23 October, 2020; Virtual Event, Ireland. New York, NY, USA. ACM; 2020. p. 1615-24.

Wei P, Qu X, Ke Y, Leong T-Y, Ong YS. Adaptive knowledge transfer based on transfer neural kernel network Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 20); 9-13 May, 2020; Auckland, New Zealand. International Foundation for Autonomous Agents and Multiagent Systems; 2020. p. 1485–93.

Narayan A, Leong TY. Effects of task similarity on policy transfer with selective exploration in reinforcement learning (extended abstract). Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems; 13-17 May 2019; Montreal QC, Canada. International Foundation for Autonomous Agents and Multiagent Systems; 2019. p. 2132–34.

Narayan A, Leong T-Y. Policy transfer in reinforcement learning: A selective exploration approach Proceedings of the Adaptive and Learning Agents Workshop at AAMAS 2019; 13-14 May 2019; Montreal, Canada. 2019.

Narayan A, Leong TY. Transfer in model based reinforcement learning as a partial observability problem Proceedings of the NeurIPS 2018 Workshop on Reinforcement Learning under Partial Observability; 8 December 2018; Montreal, Canada. 2018. p. pp.

Narayan A, Li Z, Leong T-Y. Seapot-RL: Selective exploration algorithm for policy transfer in reinforcement learning (extended abstract). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17); 4-9 Feb 2017; San Francisco, CA, USA. 2017. p. 4975-76.

Li Z, Narayan A, Leong T-Y. An efficient approach to model-based hierarchical reinforcement learning Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17); 4-9 Feb 2017; San Francisco, CA, USA. 2017. p. 3583-89.

Nguyen TT, Silander T, Li Z, Leong T-Y. Scalable transfer learning in heterogeneous, dynamic environments Artificial Intelligence. 2017 June 2017;247:70-94. https://doi.org/10.1016/j.artint.2015.09.013.

Nguyen Thanh T, Li Z, Silander TV, Leong T-Y. Online feature selection for model-based reinforcement learning Proceedings of the International Conference on Machine Learning (ICML 2013); June 16-21; Atlanta, USA. 2013. p. 498-506.

Nguyen Thanh T, Silander TV, Leong T-Y. Transferring expectations in model-based reinforcement learning. In: Bartlett P, Pereira FCN, Burges CJC, Bottou L, Weinberger KQ, editors. Advances in neural information processing systems (NIPS) 25 2012. p. 2564--72.

Xu X, Huang T, Wei P, Narayan A, Leong TY. Hierarchical reinforcement learning in starcraft ii with human expertise in subgoals selection Proceedings of the Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at the 30th International Conference on Automated Planning and Scheduling; 26-30 October; Online. 2020.

Nguyen Dinh TH, Silander TV, Lee W-S, Leong T-Y. Bootstrapping simulation-based algorithms with a suboptimal policy Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014); June 21-26; Portsmouth, USA. 2014. p. 181-89.

Nguyen Dinh TH, Lee W-S, Leong T-Y. Bootstrapping monte carlo tree search with an imperfect heuristic In: P. Flach et al., editor. Machine learning and knowledge discovery in databases: European conference (ecml pkdd 2012), proceedings: Springer-Verlag; 2012. p. 164–79.

Nguyen Dinh TH, Hsu DY, Lee W-S, Leong T-Y, Kaelbling L, Lozano-Perez T, Grant AH. Capir: Collaborative action planning with intention recognition Proceedings of the Seventh Annual International Artificial Intelligence in Interactive and Digital Media Conference (AIIDE 2011); Palo Alto, CA. AAAI Press; 2011. p. 61-66.

Vo TV, Wei P, Bergsma W, Leong TY. Causal modeling with stochastic confounders In: Arindam B, Kenji F, editors.Proceedings of the Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 21); 13-15 April, 2021; Proceedings of Machine Learning Research. PMLR; 2021. p. 3025--33.

Silander TV, Leong T-Y. A dynamic programming algorithm for learning chain event graphs In: Fürnkranz J, Hüllermeier E, Higuchi T, editors.Proceedings of the Discovery Science: The Sixteenth International Conference on Discovery Science (DS 2013); 6 - 9 Oct; Singapore. Springer; 2013. p. 201-16.

Guo W, Leong T-Y. An analytic characterization of model minimization in factored markov decision processes Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2010); Atlanta, Georgia. AAAI Press; 2010. p. 1077-82.

Dementia Management
Pillai PS, Leong TY, Alzheimer's Disease Neuroimaging I. Modeling multi-view dependence in bayesian networks for alzheimer's disease detection Stud Health Technol Inform. 2019 Aug 21;264:358-62. 10.3233/SHTI190243

Pillai PS, Feng L, Leong TY. Knowledge-driven interpretation of multi-view data in medicine. Stud Health Technol Inform. 2018;247:745-49

Pillai PS, Leong TY. Fusing heterogeneous data for alzheimer's disease classification. Stud Health Technol Inform. 2015;216:731-5

Andberg S, Pillai PS, Leong T-Y. Magnetic resonance imaging (MRI) image processing workbench for alzheimer’s disease classification. Indian Journal of Medical Informatics. 2014 1-2 November, 2014;8(2):80-84

Ischemic Stroke Management
Dinh TA, Silander TV, Su B, Gong T, Pang BC, Lim CCT, Lee CK, Tan CL, Leong T-Y. Unsupervised medical image classification by combining case-based classifiers. Stud Health Technol Inform. 2013;192:739-43

Dinh TA, Silander TV, Lim CCT, Leong TY. An automated pathological class level annotation system for 3-d brain images. AMIA Annu Symp Proc. 2012;2012:1201–10

Dinh TA, Silander TV, Lim CCT, Leong TY. A generative model based approach to retrieving ischemic stroke images. AMIA Annu Symp Proc. 2011;2011:312-21

Traumatic Brain Injury Management
Su B, Dinh TA, Ambastha AK, Silander TV, Lu S, Pang BC, Lim CCT, Lee CK, Leong T-Y, Tan CL. Automated predication of glasgow outcome scale for traumatic brain injury. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014); 24-28 August; Stockholm, Sweden. 2014. p. 3245-50

Liu R, Li S, Su B, Tan CL, Leong T-Y, Pang BC, Lim CCT, Lee CK. Automatic detection and quantification of brain midline shift using anatomical marker model Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2014;38(1):1-14

Li S, Gong T, Wang J, Liu R, Tan CL, Leong TY, Pang BC, Lim CCT, Lee CK, Tian Q, Zhang Z. Tbidoc: 3d content-based ct image retrieval system for traumatic brain injury. Proceedings of the SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762427 2010. p. 762427-27-10.