| Adversarial learning for neural dialogue generation J Li, W Monroe, T Shi, S Jean, A Ritter, D Jurafsky arXiv preprint arXiv:1701.06547, 2017 | 1128 | 2017 |
| World of Bits: An Open-Domain Platform for Web-Based Agents T Shi, A Karpathy, L Fan, J Hernandez, P Liang International Conference on Machine Learning, 3135-3144, 2017 | 167 | 2017 |
| Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration EZ Liu, K Guu, P Pasupat, T Shi, P Liang arXiv preprint arXiv:1802.08802, 2018 | 153 | 2018 |
| Online Bayesian passive-aggressive learning T Shi, J Zhu The Journal of Machine Learning Research 18 (1), 1084-1122, 2017 | 44 | 2017 |
| Max-margin deep generative models C Li, J Zhu, T Shi, B Zhang Advances in neural information processing systems, 1837-1845, 2015 | 35 | 2015 |
| Learning where to sample in structured prediction T Shi, J Steinhardt, P Liang Artificial Intelligence and Statistics, 875-884, 2015 | 24 | 2015 |
| A fully polynomial-time approximation scheme for approximating a sum of random variables J Li, T Shi Operations Research Letters 42 (3), 197-202, 2014 | 21 | 2014 |
| A reverse hierarchy model for predicting eye fixations T Shi, M Liang, X Hu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 13 | 2014 |
| Correlated Compressive Sensing for Networked Data. T Shi, D Tang, L Xu, T Moscibroda UAI, 722-731, 2014 | 9 | 2014 |
| Improving Survey Aggregation with Sparsely Represented Signals T Shi, F Agostinelli, M Staib, D Wipf, T Moscibroda 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016 | 3 | 2016 |
| Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration E Zheran Liu, K Guu, P Pasupat, T Shi, P Liang arXiv, arXiv: 1802.08802, 2018 | | 2018 |
| YaoTalk: A Conversational System for the IIIS Domain T Shi, S Yang | | |
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
