Jianfei Chen

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	Visi	Nuo 2019
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Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Cheng LuOpenAIPatvirtintas el. paštas openai.com
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
fan baoShengShuPatvirtintas el. paštas shengshu.ai
Yuhao ZhouPh.D. Student, Tsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Tang JieWeBank Chair Professor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Weize ChenTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowPatvirtintas el. paštas tsinghua.edu.cn
Shengding HuTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityPatvirtintas el. paštas 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
Michael MahoneyProfessor of Statistics, UC BerkeleyPatvirtintas el. paštas stat.berkeley.edu
Kaiwei LiTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Baining GuoDistinguished Scientist, Microsoft ResearchPatvirtintas el. paštas microsoft.com
Xiting WangAssistant Professor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Dequan WangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Zhewei YaoSnowflakePatvirtintas el. paštas snowflake.com
Wenbo HuHefei University of TechnologyPatvirtintas el. paštas hfut.edu.cn

Stebėti

Jianfei Chen

Associate 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
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	892	2022
Stochastic Training of Graph Convolutional Networks with Variance Reduction. J Chen, J Zhu, L Song ICML, 941-949, 2018	612	2018
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	441	2023
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	333	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	201	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
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	95	2013
Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017	94	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	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	89	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	73	2016
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	68	2021
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	66	2022
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	64	2020
Stochastic Expectation Maximization with Variance Reduction J Chen, J Zhu, YW Teh, T Zhang Advances in Neural Information Processing Systems, 7978-7988, 2018	64	2018
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	63	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
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	41	2020
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	40	2023
Dropout Training for Support Vector Machines. N Chen, J Zhu, J Chen, B Zhang AAAI, 1752-1759, 2014	40	2014

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