| Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu Advances in neural information processing systems 35, 5775-5787, 2022 | 2125 | 2022 |
| Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature machine intelligence 5 (3), 220-235, 2023 | 1373 | 2023 |
| Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu Machine Intelligence Research, 1-22, 2025 | 873 | 2025 |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018 | 748 | 2018 |
| Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv:2203.06904, 2022 | 331 | 2022 |
| Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics K Zheng, C Lu, J Chen, J Zhu Advances in Neural Information Processing Systems 36, 55502-55542, 2023 | 147 | 2023 |
| Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning C Lu, H Chen, J Chen, H Su, C Li, J Zhu International Conference on Machine Learning, 22825-22855, 2023 | 134 | 2023 |
| Topicpanorama: a full picture of relevant topics S Liu, X Wang, J Chen, J Zhu, B Guo IEEE Transactions on Visualization and Computer Graphics 20, 12, 2014 | 124 | 2014 |
| Maximum likelihood training for score-based diffusion odes by high order denoising score matching C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu International conference on machine learning, 14429-14460, 2022 | 117 | 2022 |
| ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training J Chen, L Zheng, Z Yao, D Wang, I Stoica, MW Mahoney, JE Gonzalez International Conference on Machine Learning, 2021 | 109 | 2021 |
| Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017 | 104 | 2017 |
| Scaling up dynamic topic models A Bhadury, J Chen, J Zhu, S Liu Proceedings of the 25th international conference on world wide web, 381-390, 2016 | 98 | 2016 |
| Scalable inference for logistic-normal topic models J Chen, J Zhu, Z Wang, X Zheng, B Zhang Advances in neural information processing systems 26, 2013 | 98 | 2013 |
| Warplda: a cache efficient o (1) algorithm for latent dirichlet allocation J Chen, K Li, J Zhu, W Chen arXiv preprint arXiv:1510.08628, 2015 | 97 | 2015 |
| Training transformers with 4-bit integers H Xi, C Li, J Chen, J Zhu Advances in Neural Information Processing Systems 36, 49146-49168, 2023 | 86 | 2023 |
| TopicPanorama: A full picture of relevant topics X Wang, S Liu, J Liu, J Chen, J Zhu, B Guo IEEE transactions on visualization and computer graphics 22 (12), 2508-2521, 2016 | 83 | 2016 |
| Bev-seg: Bird's eye view semantic segmentation using geometry and semantic point cloud MH Ng, K Radia, J Chen, D Wang, I Gog, JE Gonzalez arXiv preprint arXiv:2006.11436, 2020 | 82 | 2020 |
| Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity H Xi, S Yang, Y Zhao, C Xu, M Li, X Li, Y Lin, H Cai, J Zhang, D Li, J Chen, ... arXiv preprint arXiv:2502.01776, 2025 | 77 | 2025 |
| Vflow: More expressive generative flows with variational data augmentation J Chen, C Lu, B Chenli, J Zhu, T Tian International Conference on Machine Learning, 1660-1669, 2020 | 74 | 2020 |
| Stochastic Expectation Maximization with Variance Reduction J Chen, J Zhu, YW Teh, T Zhang Advances in Neural Information Processing Systems, 7978-7988, 2018 | 74 | 2018 |
Jun ZhuProfessor of Computer Science, Tsinghua University; IEEE/AAAI FellowVerified email at mail.tsinghua.edu.cn
