| Activation maximization generative adversarial nets Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang arXiv preprint arXiv:1703.02000, 2017 | 110 | 2017 |
| Lipschitz generative adversarial nets Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang International Conference on Machine Learning, 7584-7593, 2019 | 109 | 2019 |
| Equivariant flow matching with hybrid probability transport for 3d molecule generation Y Song, J Gong, M Xu, Z Cao, Y Lan, S Ermon, H Zhou, WY Ma Advances in Neural Information Processing Systems 36, 2024 | 41 | 2024 |
| Guiding the one-to-one mapping in CycleGAN via optimal transport G Lu, Z Zhou, Y Song, K Ren, Y Yu Proceedings of the AAAI conference on artificial intelligence 33 (01), 4432-4439, 2019 | 29 | 2019 |
| Follow your path: a progressive method for knowledge distillation W Shi, Y Song, H Zhou, B Li, L Li Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 27* | 2021 |
| 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, 1499-1506, 2020 | 18 | 2020 |
| Coarse-to-fine: a hierarchical diffusion model for molecule generation in 3d B Qiang, Y Song, M Xu, J Gong, B Gao, H Zhou, WY Ma, Y Lan International Conference on Machine Learning, 28277-28299, 2023 | 17 | 2023 |
| 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 | 16 | 2019 |
| Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks Y Song, J Gong, H Zhou, M Zheng, J Liu, WY Ma The Twelfth International Conference on Learning Representations, 2023 | 15* | 2023 |
| 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 | 11* | 2018 |
| Discriminator contrastive divergence: Semi-amortized generative modeling by exploring energy of the discriminator Y Song, Q Ye, M Xu, TY Liu arXiv preprint arXiv:2004.01704, 2020 | 10 | 2020 |
| MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space Y Qu, K Qiu, Y Song, J Gong, J Han, M Zheng, H Zhou, WY Ma arXiv preprint arXiv:2404.12141, 2024 | 9 | 2024 |
| Do you have the right scissors? tailoring pre-trained language models via monte-carlo methods N Miao, Y Song, H Zhou, L Li arXiv preprint arXiv:2007.06162, 2020 | 7 | 2020 |
| Improving maximum likelihood training for text generation with density ratio estimation Y Song, N Miao, H Zhou, L Yu, M Wang, L Li International Conference on Artificial Intelligence and Statistics, 122-132, 2020 | 6 | 2020 |
| RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation Y Wang, Y Song, M Xu, R Wang, H Zhou, W Ma arXiv preprint arXiv:2311.14077, 2023 | 3 | 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 |
| Volume Ranking and Sequential Selection in Programmatic Display Advertising Y Song, K Ren, H Cai, W Zhang, Y Yu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 1 | 2017 |
Zhiming ZhouShanghai University of Finance and EconomicsEmail verificata su mail.shufe.edu.cn