Jianfei Chen

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Cheng LuTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Chongxuan LiAssociate Professor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowPatvirtintas el. paštas tsinghua.edu.cn
Yuhao ZhouPh.D. Student, Tsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
fan baoTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligencePatvirtintas el. paštas biomap.com
Kaiwei LiTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Baining GuoDistinguished Scientist, Microsoft ResearchPatvirtintas el. paštas microsoft.com
Xiting WangPrincipal Researcher, Microsoft Research AsiaPatvirtintas el. paštas microsoft.com
Michael MahoneyProfessor of Statistics, UC BerkeleyPatvirtintas el. paštas stat.berkeley.edu
Weize ChenTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Dequan WangShanghai Jiao Tong University | Shanghai AI LaboratoryPatvirtintas el. paštas sjtu.edu.cn
Zhewei YaoMicrosoftPatvirtintas el. paštas microsoft.com
Ning ChenAssistant Researcher, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Lianmin ZhengUC BerkeleyPatvirtintas el. paštas berkeley.edu
Zi WangGoogle DeepMindPatvirtintas el. paštas google.com
Xun ZhengCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu

Stebėti

Jianfei Chen

Assistant Professor, Tsinghua University

Patvirtintas el. paštas mail.tsinghua.edu.cn - Pagrindinis puslapis

Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018	492	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	232	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	91	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	60	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	50	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	42	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	41	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	22	2022

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