| 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 | 1213 | 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 | 679 | 2023 |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018 | 648 | 2018 |
| Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu arXiv preprint arXiv:2211.01095, 2022 | 474 | 2022 |
| 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 | 240 | 2022 |
| 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 | 121 | 2014 |
| Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017 | 96 | 2017 |
| 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 | 96 | 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 | 93 | 2015 |
| 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 | 90 | 2016 |
| 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 | 80 | 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 | 78 | 2021 |
| 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 | 74 | 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 | 69 | 2020 |
| 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 | 67 | 2020 |
| Stochastic Expectation Maximization with Variance Reduction J Chen, J Zhu, YW Teh, T Zhang Advances in Neural Information Processing Systems, 7978-7988, 2018 | 65 | 2018 |
| 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 | 55 | 2023 |
| 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 | 52 | 2023 |
| A Statistical Framework for Low-bitwidth Training of Deep Neural Networks J Chen, Y Gai, Z Yao, MW Mahoney, JE Gonzalez Advances in Neural Information Processing Systems, 2020 | 49 | 2020 |
| ZhuSuan: A library for Bayesian deep learning J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou arXiv preprint arXiv:1709.05870, 2017 | 47 | 2017 |
Jun ZhuProfessor of Computer Science, Tsinghua University確認したメール アドレス: mail.tsinghua.edu.cn