Jianfei Chen

Cited by

	All	Since 2018
Citations	1620	1391
h-index	19	18
i10-index	24	23

340

170

255

201420152016201720182019202020212022202311 32 64 103 124 174 192 257 334 310

Public access

View all

18 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Chongxuan LiAssistant Professor, Renmin University of ChinaVerified email at ruc.edu.cn
Cheng LuTsinghua UniversityVerified email at mails.tsinghua.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
Dequan WangShanghai Jiao Tong University | Shanghai AI LaboratoryVerified email at sjtu.edu.cn
Weize ChenTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.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 BrainVerified 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	445	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 arXiv preprint arXiv:2206.00927, 2022	146	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	111	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	88	2013
Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017	82	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	77	2016
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	64	2022
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	64	2016
Stochastic Expectation Maximization with Variance Reduction J Chen, J Zhu, YW Teh, T Zhang Advances in Neural Information Processing Systems, 7978-7988, 2018	50	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	46	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	45	2017
Dropout Training for Support Vector Machines. N Chen, J Zhu, J Chen, B Zhang AAAI, 1752-1759, 2014	39	2014
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	36	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	34	2020
Implicit Normalizing Flows C Lu, J Chen, C Li, Q Wang, J Zhu ICLR, 2021	27	2021
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	26	2022
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	25	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	23*	2018
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	18	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors