| 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 | 3320 | 2017 |
| Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2018 | 1240 | 2018 |
| Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, 2018 | 1032 | 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 | 987* | 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 | 882 | 2016 |
| 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 | 879 | 2018 |
| Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 823 | 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 | 807 | 2017 |
| Long Text Generation via Adversarial Training with Leaked Information J Guo, S Lu, H Cai, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 718 | 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 | 702 | 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 | 645 | 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 | 530 | 2019 |
| 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 | 417 | 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 | 408 | 2014 |
| Multi-agent reinforcement learning is a sequence modeling problem M Wen, JG Kuba, R Lin, W Zhang, Y Wen, J Wang, Y Yang NeurIPS 2022, 2022 | 372 | 2022 |
| 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 | 366 | 2017 |
| 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 | 334 | 2013 |
| Vision-language foundation models as effective robot imitators X Li, M Liu, H Zhang, C Yu, J Xu, H Wu, C Cheang, Y Jing, W Zhang, ... ICLR 2024, 2023 | 328 | 2023 |
| Towards open-world recommendation with knowledge augmentation from large language models Y Xi, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 12-22, 2024 | 326 | 2024 |
| Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu ICML 2018, 2018 | 321 | 2018 |
Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
