Overview
Background
Nan Ye's research interest spans machine learning, statistics and optimization. He has published papers on topics including sequential decision making under uncertainty, weakly supervised learning, probabilistic graphical models, statistical learning theory, in venues such as NeurIPS, ICML, ICLR, UAI, JAIR, JMLR. He received an IJCAI-JAIR Best Paper Prize in 2022, and a UAI Best Student Paper Award in 2014.
He is a Lecturer in Statistics and Data Science in the School of Mathematics and Physics in University of Queensland. He previously held postdoc positions at QUT and UC Berkeley from 2015 to 2018, and at NUS from 2013 to 2014. He obtained his PhD in Computer Science from NUS, and completed double first-class honors in Computer Science and Applied Mathematics, also from NUS.
Please visit his personal webpage for more information: https://yenan.github.io/.
Availability
- Dr Nan Ye is:
- Available for supervision
Research interests
-
machine learning
-
sequential decision making
-
numerical optimization
Works
Search Professor Nan Ye’s works on UQ eSpace
2019
Journal Article
Preface
Avrachenkov, Konstantin, Prałat, Paweł and Ye, Nan (2019). Preface. Lecture Notes in Computer Science, 11631 LNCS.
2019
Book Chapter
Optimization methods for inverse problems
Ye, Nan, Roosta-Khorasani, Farbod and Cui, Tiangang (2019). Optimization methods for inverse problems. 2017 MATRIX annals. (pp. 121-140) edited by David R. Wood, Jan de Gier, Cheryl E. Praeger and Terence Tao. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04161-8_9
2019
Conference Publication
Maximum entropy approaches for inverse reinforcement learning
Snoswell, A. J., Singh, S. P. N. and Ye, N. (2019). Maximum entropy approaches for inverse reinforcement learning. INFORMS-APS, Brisbane, Australia, 3-5 July 2019.
2019
Conference Publication
POMDPs for sustainable fishery management
Filar, Jerzy A., Qiao, Zhihao and Ye, Nan (2019). POMDPs for sustainable fishery management. International Congress on Modelling and Simulation, Canberra, Australia, 1-6 December 2019. Modelling and Simulation Society of Australia and New Zealand. doi: 10.36334/modsim.2019.g2.filar
2018
Journal Article
A framework for solving explicit arithmetic word problems and proving plane geometry theorems
Yu, Xinguo, Wang, Mingshu, Gan, Wenbin, He, Bin and Ye, Nan (2018). A framework for solving explicit arithmetic word problems and proving plane geometry theorems. International Journal of Pattern Recognition and Artificial Intelligence, 33 (7) 1940005, 1940005. doi: 10.1142/S0218001419400056
2017
Conference Publication
Modelling imperfect presence data obtained by citizen science
Mengersen, Kerrie, Peterson, Erin E., Clifford, Samuel, Ye, Nan, Kim, June, Bednarz, Tomasz, Brown, Ross, James, Allan, Vercelloni, Julie, Pearse, Alan R., Davis, Jacqueline and Hunter, Vanessa (2017). Modelling imperfect presence data obtained by citizen science. 26th Annual Conference of the International-Environmetrics-Society (TIES), Riccarton, Scotland, 18-22 July 2016. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/env.2446
2017
Journal Article
DESPOT: Online POMDP Planning with Regularization
Ye, Nan, Somani, Adhiraj, Hsu, David and Lee, Wee Sun (2017). DESPOT: Online POMDP Planning with Regularization. The Journal of Artificial Intelligence Research, 58, 231-266. doi: 10.1613/jair.5328
2017
Conference Publication
Tensor belief propagation
Wrigley, Andrew, Lee, Wee Sun and Ye, Nan (2017). Tensor belief propagation. 34th International Conference on Machine Learning, Sydney, NSW, Australia, 6-11 August 2017. San Diego, CA, United States: JMLR.org.
2016
Conference Publication
Robustness of Bayesian pool-based active learning against prior misspecification
Cuong, Nguyen Viet, Ye, Nan and Lee, Wee Sun (2016). Robustness of Bayesian pool-based active learning against prior misspecification. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, United States, 12-17 February 2016. Palo Alto, CA, United States: AAAI Press.
2015
Conference Publication
Intention-aware online POMDP planning for autonomous driving in a crowd
Bai, Haoyu, Cai, Shaojun, Ye, Nan, Hsu, David and Lee, Wee Sun (2015). Intention-aware online POMDP planning for autonomous driving in a crowd. 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA United States, 26-30 May 2015. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICRA.2015.7139219
2014
Conference Publication
Near-optimal adaptive pool-based active learning with general loss
Nguyen Viet Cuong, Lee, Wee Sun and Ye, Nan (2014). Near-optimal adaptive pool-based active learning with general loss. 30th Conference on Uncertainty in Artificial Intelligence (UAI), Quebec City, Canada, 23-27 July 2014. Arlington, VA, United States: AUAI Press.
2014
Journal Article
Conditional random field with high-order dependencies for sequence labeling and segmentation
Nguyen Viet Cuong, Ye, Nan, Lee, Wee Sun and Chieu, Hai Leong (2014). Conditional random field with high-order dependencies for sequence labeling and segmentation. Journal of Machine Learning Research, 15, 981-1009.
2014
Conference Publication
Goal detection for broadcast basketball video using superimposed texts: A transition pattern approach
Ding, Wan, Yu, Xinguo and Ye, Nan (2014). Goal detection for broadcast basketball video using superimposed texts: A transition pattern approach. ICIMCS '14: International Conference on Internet Multimedia Computing and Service, Xiamen, China, 10-12 July 2014. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2632856.2632859
2013
Conference Publication
DESPOT: Online POMDP planning with regularization
Somani, Adhiraj, Ye, Nan, Hsu, David and Lee, Wee Sun (2013). DESPOT: Online POMDP planning with regularization. Advances in Neural Information Processing Systems 26 (NIPS 2013), Lake Tahoe, NV, United States, 5-10 December 2013. Neural information processing systems foundation.
2013
Conference Publication
Active learning for probabilistic hypotheses using the maximum Gibbs error criterion
Nguyen, Viet Cuong, Lee, Wee Sun, Ye, Nan, Chai, Kian Ming A. and Chieu, Hai Leong (2013). Active learning for probabilistic hypotheses using the maximum Gibbs error criterion. NIPS'13: 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, United States, 5-10 December 2013. Red Hook, NY, United States: Curran Associates. doi: 10.5555/2999611.2999774
2012
Conference Publication
Optimizing F-measures: A tale of two approaches
Ye, Nan, Chai, Kian Ming A., Lee, Wee Sun and Chieu, Hai Leong (2012). Optimizing F-measures: A tale of two approaches. 29th International Conference on Machine Learning, ICML 2012, Edinburgh, United Kingdom, 26 June - 1 July 2012. New York, NY United States: Association for Computing Machinery.
2009
Conference Publication
Conditional random fields with high-order features for sequence labeling
Ye, Nan, Lee, Wee Sun, Chieu, Hai Leong and Wu, Dan (2009). Conditional random fields with high-order features for sequence labeling. 23rd Annual Conference on Neural Information Processing Systems 2009, Vancouver, Canada, 7-10 December 2009. Curran Associates.
2009
Conference Publication
Learning from streams
Jain, Sanjay, Stephan, Frank and Ye, Nan (2009). Learning from streams. 20th International Conference of Algorithmic Learning Theory ALT 2009, Porto, Portugal, 3-5 October 2009. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-04414-4_28
2009
Conference Publication
Prescribed learning of r.e. classes
Jain, Sanjay, Stephan, Frank and Ye, Nan (2009). Prescribed learning of r.e. classes. 18th International Conference on Algorithmic Learning Theory, Sendai, Japan, 1-4 October 2007. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.tcs.2009.01.011
2009
Conference Publication
Domain adaptive bootstrapping for named entity recognition
Wu, Dan, Lee, Wee Sun, Ye, Nan and Chieu, Hai Leong (2009). Domain adaptive bootstrapping for named entity recognition. 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, 6 - 7 August 2009. Stroudsburg, PA United States: Association for Computational Linguistics. doi: 10.3115/1699648.1699699
Supervision
Availability
- Dr Nan Ye is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Data-driven framework for Sequential Decision Making in Operations Research
Principal Advisor
-
-
Doctor Philosophy
Reinforcement Learning for Partially Observable Environments
Principal Advisor
Other advisors: Professor Dirk Kroese
-
Doctor Philosophy
Machine Learning for Quantitative Fisheries Stock Assessments
Principal Advisor
Other advisors: Emeritus Professor Jerzy Filar
-
Doctor Philosophy
Data-driven framework for Sequential Decision Making in Operations Research
Principal Advisor
-
Doctor Philosophy
Reinforcement Learning for Large and Complex Partially Observable Markov Decision Processes
Principal Advisor
Other advisors: Professor Dirk Kroese
-
Doctor Philosophy
Offline Reinforcement Learning Theory and Algorithms
Principal Advisor
Other advisors: Professor Fred Roosta
-
Master Philosophy
Improved Exploration Methods for Deep Reinforcement Learning
Principal Advisor
Other advisors: Professor Dirk Kroese
-
Doctor Philosophy
Breast cancer metastasis prediction via machine learning and spatial cellular pathology
Associate Advisor
Other advisors: Associate Professor Peter Simpson, Dr Quan Nguyen
-
Doctor Philosophy
High-stakes Decision Making with Weakly Supervised Data
Associate Advisor
Other advisors: Dr Miao Xu
-
Doctor Philosophy
High-stakes Decision Making with Weakly Supervised Data
Associate Advisor
Other advisors: Dr Miao Xu
-
Doctor Philosophy
AI/ML Framework for Mixed-integer Nonlinear Optimisation
Associate Advisor
Other advisors: Professor Fred Roosta
-
Doctor Philosophy
AI/ML Framework for Mixed-integer Nonlinear Optimisation
Associate Advisor
Other advisors: Professor Fred Roosta
-
Doctor Philosophy
Development of novel deep learning methods for medical imaging
Associate Advisor
Other advisors: Professor Feng Liu, Dr Hongfu Sun
-
Doctor Philosophy
High-stakes Decision Making with Weakly Supervised Data
Associate Advisor
Other advisors: Dr Miao Xu
Completed supervision
-
2022
Doctor Philosophy
Modelling and explaining behaviour with Inverse Reinforcement Learning: Maximum Entropy and Multiple Intent methods
Principal Advisor
Media
Enquiries
For media enquiries about Dr Nan Ye's areas of expertise, story ideas and help finding experts, contact our Media team: