| Seqgan: sequence generative adversarial nets with policy gradient L Yu, W Zhang, J Wang, Y Yu The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), 2017 | 1327 | 2017 |
| IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models J Wang, L Yu, W Zhang, Y Gong, Y Xu, B Wang, P Zhang, D Zhang SIGIR 2017 (Best Paper Award Honorable Mention), 2017 | 316 | 2017 |
| A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration X Wang*, L Yu*, K Ren, G Tao, W Zhang, Y Yu, J Wang 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), 2017 | 105 | 2017 |
| Lipschitz Generative Adversarial Nets Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang 36th International Conference on Machine Learning (ICML 2019), 2019 | 31 | 2019 |
| Deep Reinforcement Learning for Green Security Games with Real-Time Information Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018 | 26 | 2018 |
| MOPO: Model-based Offline Policy Optimization T Yu, G Thomas, L Yu, S Ermon, J Zou, S Levine, C Finn, T Ma 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 20 | 2020 |
| Multi-Agent Adversarial Inverse Reinforcement Learning L Yu, J Song, S Ermon 36th International Conference on Machine Learning (ICML 2019), 2019 | 19 | 2019 |
| Cot: Cooperative training for generative modeling of discrete data S Lu, L Yu, S Feng, Y Zhu, W Zhang International Conference on Machine Learning, 4164-4172, 2019 | 19* | 2019 |
| A Study of AI Population Dynamics with Million-agent Reinforcement Learning Y Yang*, L Yu*, Y Bai*, Y Wen, W Zhang, J Wang Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 17* | 2018 |
| Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets Z Zhou, Y Song, L Yu, H Wang, J Liang, W Zhang, Z Zhang, Y Yu arXiv preprint arXiv:1807.00751, 2018 | 14* | 2018 |
| Exploiting Data and Human Knowledge for Predicting Wildlife Poaching S Gurumurthy, L Yu, C Zhang, Y Jin, W Li, H Zhang, F Fang ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018), 2018 | 9 | 2018 |
| Training Deep Energy-Based Models with f-Divergence Minimization L Yu, Y Song, J Song, S Ermon 37th International Conference on Machine Learning (ICML 2020), 2020 | 8 | 2020 |
| Meta-Inverse Reinforcement Learning with Probabilistic Context Variables L Yu, T Yu, C Finn, S Ermon 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 7 | 2019 |
| Understanding self-supervised learning with dual deep networks Y Tian, L Yu, X Chen, S Ganguli arXiv preprint arXiv:2010.00578, 2020 | 3 | 2020 |
| Deep Reinforcement Learning for Green Security Game with Online Information L Yu, Y Wu, R Singh, L Joppa, F Fang The AAAI 2018 Artificial Intelligence for Imperfect-Information Games Workshop, 2017 | 2 | 2017 |
| Improving Unsupervised Domain Adaptation with Variational Information Bottleneck Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu The 24th European Conference on Artificial Intelligence (ECAI 2020), 2019 | 1 | 2019 |
| Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2019 | 1 | 2019 |
| Autoregressive Score Matching C Meng, L Yu, Y Song, J Song, S Ermon 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | | 2020 |
| Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation Y Song, N Miao, H Zhou, L Yu, M Wang, L Li 23rd International Conference on Artificial Intelligence and Statistics …, 2020 | | 2020 |
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityEmail verificata su sjtu.edu.cn
