| SeqGAN: Sequence generative adversarial nets with policy gradient L Yu, W Zhang, J Wang, Y Yu 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017 | 3047 | 2017 |
| Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2018 | 1104 | 2018 |
| GraphGAN: Graph Representation Learning with Generative Adversarial Nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo AAAI 2018, 2018 | 897* | 2018 |
| Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, 2018 | 870 | 2018 |
| Product-based neural networks for user response prediction Y Qu, H Cai, K Ren, W Zhang, Y Yu, Y Wen, J Wang IEEE 16th International Conference on Data Mining, 2016 | 817 | 2016 |
| Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 774 | 2018 |
| 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 Honorable Mention Award), 2017 | 735 | 2017 |
| Texygen: A Benchmarking Platform for Text Generation Models Y Zhu, S Lu, L Zheng, J Guo, W Zhang, J Wang, Y Yu SIGIR 2018, 2018 | 707 | 2018 |
| Long Text Generation via Adversarial Training with Leaked Information J Guo, S Lu, H Cai, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 666 | 2018 |
| Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction W Zhang, T Du, J Wang European Conference on Information Retrieval, 2016 | 657 | 2016 |
| GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang ICLR 2020, 2020 | 531 | 2020 |
| CoLight: Learning Network-level Cooperation for Traffic Signal Control H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ... CIKM 2019, 2019 | 426 | 2019 |
| Optimal Real-Time Bidding for Display Advertising W Zhang, S Yuan, J Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 382 | 2014 |
| CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li WWW 2019, 2019 | 331 | 2019 |
| Real-Time Bidding by Reinforcement Learning in Display Advertising H Cai, K Ren, W Zhang, K Malialis, J Wang, Y Yu, D Guo WSDM 2017, 2017 | 315 | 2017 |
| Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu ICML 2018, 2018 | 300 | 2018 |
| Optimizing top-n collaborative filtering via dynamic negative item sampling W Zhang, T Chen, J Wang, Y Yu Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 300 | 2013 |
| Dynamically fused graph network for multi-hop reasoning L Qiu, Y Xiao, Y Qu, H Zhou, L Li, W Zhang, Y Yu Proceedings of the 57th annual meeting of the association for computational …, 2019 | 283 | 2019 |
| SVDFeature: a toolkit for feature-based collaborative filtering T Chen, W Zhang, Q Lu, K Chen, Z Zheng, Y Yu The Journal of Machine Learning Research 13 (1), 3619-3622, 2012 | 282 | 2012 |
| Display advertising with real-time bidding (RTB) and behavioural targeting J Wang, W Zhang, S Yuan Foundations and Trends® in Information Retrieval 11 (4-5), 2017 | 270 | 2017 |
Yong Yu (俞勇)Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的電子郵件地址已通過驗證
