| DESPOT: Online POMDP Planning with Regularization A Somani, N Ye, D Hsu, WS Lee Advances in Neural Information Processing Systems, 1772-1780, 2013 | 812 | 2013 |
| Intention-aware online POMDP planning for autonomous driving in a crowd H Bai, S Cai, N Ye, D Hsu, WS Lee Robotics and Automation (ICRA), 2015 IEEE International Conference on, 454-460, 2015 | 427 | 2015 |
| Optimizing F-measures: a tale of two approaches N Ye, KMA Chai, WS Lee, HL Chieu Proceedings of the International Conference on Machine Learning, 2012 | 204* | 2012 |
| Domain adaptive bootstrapping for named entity recognition D Wu, WS Lee, N Ye, HL Chieu Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 83 | 2009 |
| Conditional random fields with high-order features for sequence labeling N Ye, WS Lee, HL Chieu, D Wu Advances in Neural Information Processing Systems, 2196-2204, 2009 | 65 | 2009 |
| Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation NV Cuong, N Ye, WS Lee, HL Chieu Journal of Machine Learning Research 15, 981-1009, 2014 | 58 | 2014 |
| Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu Advances in Neural Information Processing Systems, 1457-1465, 2013 | 50 | 2013 |
| A Framework for Solving Explicit Arithmetic Word Problems and Proving Plane Geometry Theorems X Yu, M Wang, W Gan, B He, N Ye International Journal of Pattern Recognition and Artificial Intelligence, 2018 | 43 | 2018 |
| Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations X Ma, P Karkus, D Hsu, WS Lee, N Ye arXiv preprint arXiv:2002.09884, 2020 | 41 | 2020 |
| Optimization Methods for Inverse Problems N Ye, F Roosta-Khorasani, T Cui arXiv preprint arXiv:1712.00154, 2017 | 34 | 2017 |
| Near-optimal Adaptive Pool-based Active Learning with General Loss NV Cuong, WS Lee, N Ye UAI, 2014 | 31 | 2014 |
| Modelling imperfect presence data obtained by citizen science K Mengersen, EE Peterson, S Clifford, N Ye, J Kim, T Bednarz, R Brown, ... Environmetrics, 2017 | 24 | 2017 |
| Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms AJ Snoswell, SPN Singh, N Ye IEEE Symposium Series on Computational Intelligence, 2020 | 23 | 2020 |
| Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms D Mitchell, N Ye, H De Sterck Numerical Linear Algebra with Applications, e2297, 2020 | 23 | 2020 |
| Semi-Markov conditional random field with high-order features VC Nguyen, N Ye, WS Lee, HL Chieu ICML Workshop on Structured Sparsity: Learning and Inference, 2011 | 20 | 2011 |
| Tensor Belief Propagation A Wrigley, WS Lee, N Ye International Conference on Machine Learning, 3771-3779, 2017 | 14 | 2017 |
| Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization J Wilton, AMY Koay, RKL Ko, M Xu, N Ye NeurIPS, 2022 | 13 | 2022 |
| Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition D Mitchell, N Ye, HD Sterck arXiv preprint arXiv:1810.05846, 2018 | 11 | 2018 |
| On preprocessing and antisymmetry in de novo peptide sequencing: improving efficiency and accuracy K Ning, N Ye, HW Leong Journal of bioinformatics and computational biology 6 (03), 467-492, 2008 | 10 | 2008 |
| Robustness of Bayesian pool-based active learning against prior misspecification NV Cuong, N Ye, WS Lee arXiv preprint arXiv:1603.09050, 2016 | 9 | 2016 |
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
