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Jianfei Chen
Jianfei Chen
Associate Professor, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
7722022
Stochastic Training of Graph Convolutional Networks with Variance Reduction.
J Chen, J Zhu, L Song
ICML, 941-949, 2018
5922018
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
3092023
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
2772022
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
1832022
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
1182014
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
942013
Big learning with Bayesian methods
J Zhu, J Chen, W Hu, B Zhang
National Science Review 4 (4), 627-651, 2017
902017
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
902015
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
842016
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
712016
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
612021
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
612020
Stochastic Expectation Maximization with Variance Reduction
J Chen, J Zhu, YW Teh, T Zhang
Advances in Neural Information Processing Systems, 7978-7988, 2018
612018
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
592022
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
572020
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
472017
Dropout Training for Support Vector Machines.
N Chen, J Zhu, J Chen, B Zhang
AAAI, 1752-1759, 2014
402014
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
362020
Implicit Normalizing Flows
C Lu, J Chen, C Li, Q Wang, J Zhu
ICLR, 2021
352021
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