| Unsupervised Diverse Colorization via Generative Adversarial Networks Y Cao, Z Zhou, W Zhang, Y Yu ECML, 2017, 2017 | 211 | 2017 |
| Activation Maximization Generative Adversarial Nets Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang ICLR, 2018, 2017 | 113 | 2017 |
| Lipschitz Generative Adversarial Nets Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang ICML, 2019, 2019 | 109 | 2019 |
| AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods Z Zhou, Q Zhang, G Lu, H Wang, W Zhang, Y Yu ICLR, 2019, 2018 | 70 | 2018 |
| Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? T He, J Zhang, Z Zhou, J Glass EMNLP, 2021, 2020 | 66* | 2020 |
| Sparse-as-Possible SVBRDF acquisition Z Zhou, G Chen, Y Dong, D Wipf, Y Yu, J Snyder, X Tong SIGGRAPH Asia, ACM Transactions on Graphics (TOG), 2016, 2016 | 54 | 2016 |
| Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence Z Yaoming, W Juncheng, Z Zhiming, C Liheng, Q Lin, Z Weinan, J Xin, ... SIGIR, 2019, 2019 | 33* | 2019 |
| Guiding the One-to-one Mapping in CycleGAN via Optimal Transport G Lu, Z Zhou, Y Song, K Ren, Y Yu AAAI, 2019, 2018 | 27 | 2018 |
| Learning to Design Games: Strategic Environments in Deep Reinforcement Learning H Zhang, J Wang, Z Zhou, W Zhang, Y Wen, Y Yu, W Li IJCAI, 2018, 2017 | 20* | 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 ECAI, 2019, 2019 | 17 | 2019 |
| Large-Scale Optimal Transport with Cycle-Consistency G Lu, Z Zhou, J Shen, C Chen, W Zhang, Y Yu arXiv preprint arXiv:2003.06635, 2020 | 12 | 2020 |
| Towards Generalized Implementation of Wasserstein Distance in GANs M Xu, Z Zhou, G Lu, J Tang, W Zhang, Y Yu AAAI, 2021, 2021 | 10 | 2021 |
| Clustered Embedding Learning for Recommender Systems Y Chen, G Huzhang, A Zeng, Q Yu, H Sun, HY Li, J Li, Y Ni, H Yu, Z Zhou WWW, 2023, 2023 | 5 | 2023 |
| Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs Z Zhou, J Shen, Y Song, W Zhang, Y Yu arXiv preprint arXiv:1904.01184, 2019 | 2 | 2019 |
| Learning Personalizable Clustered Embedding for Recommender Systems Y CHEN, G Huzhang, A ZENG, Q YU, HUI SUN, HYI LI, J LI, Y NI, HAN YU, ... ACM Transactions on Recommender Systems (TORS), 2024, 2024 | | 2024 |
| Recurrent Temporal Revision Graph Networks Y Chen, A Zeng, G Huzhang, Q Yu, K Zhang, C Yuanpeng, K Wu, H Yu, ... NeurIPS, 2023, 2023 | | 2023 |
Yong Yu (俞勇)Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
