Jianfei Chen

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Cheng LuOpenAIVerified email at openai.com
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaVerified email at ruc.edu.cn
fan baoShengShuVerified email at shengshu.ai
Yuhao ZhouTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Weize ChenTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowVerified email at tsinghua.edu.cn
Shengding HuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Kaiwei LiTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Baining GuoDistinguished Scientist, Microsoft ResearchVerified email at microsoft.com
Xiting WangAssociate Professor, Renmin University of ChinaVerified email at ruc.edu.cn
Dequan WangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zhewei YaoSnowflakeVerified email at snowflake.com
Lianmin ZhengxAIVerified email at x.ai

Jianfei Chen

Associate Professor, Tsinghua University

Verified email at mail.tsinghua.edu.cn - Homepage

Machine Learning


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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	1194	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	668	2023
Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018	642	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	464	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	237	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	94	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	92	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	79	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	68	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	50	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

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