Jianfei Chen

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Cheng LuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Chongxuan LiAssociate Professor, Renmin University of ChinaVerified email at ruc.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowVerified email at tsinghua.edu.cn
Yuhao ZhouPh.D. Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
fan baoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Kaiwei LiTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Baining GuoDistinguished Scientist, Microsoft ResearchVerified email at microsoft.com
Xiting WangPrincipal Researcher, Microsoft Research AsiaVerified email at microsoft.com
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Weize ChenTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Dequan WangShanghai Jiao Tong University | Shanghai AI LaboratoryVerified email at sjtu.edu.cn
Zhewei YaoMicrosoftVerified email at microsoft.com
Ning ChenAssistant Researcher, Tsinghua UniversityVerified email at tsinghua.edu.cn
Lianmin ZhengUC BerkeleyVerified email at berkeley.edu
Zi WangGoogle DeepMindVerified email at google.com
Xun ZhengCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Jianfei Chen

Assistant Professor, Tsinghua University

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

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018	491	2018
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	227	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	112	2014
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	90	2013
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	87	2022
Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017	83	2017
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	81	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	79	2016
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	65	2016
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	58	2022
Stochastic Expectation Maximization with Variance Reduction J Chen, J Zhu, YW Teh, T Zhang Advances in Neural Information Processing Systems, 7978-7988, 2018	52	2018
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	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	46	2017
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	41	2021
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	40	2020
Dropout Training for Support Vector Machines. N Chen, J Zhu, J Chen, B Zhang AAAI, 1752-1759, 2014	40	2014
Implicit Normalizing Flows C Lu, J Chen, C Li, Q Wang, J Zhu ICLR, 2021	30	2021
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs K Li, J Chen, W Chen, J Zhu Proceedings of the Twenty-Second International Conference on Architectural …, 2017	26	2017
Scalable training of hierarchical topic models J Chen, J Zhu, J Lu, S Liu Proceedings of the VLDB Endowment 11 (7), 826-839, 2018	24*	2018
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	20	2022

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