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ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training


Apr 29, 2021
Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez


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Implicit Normalizing Flows


Mar 17, 2021
Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu


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BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures


Dec 21, 2020
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang


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A Statistical Framework for Low-bitwidth Training of Deep Neural Networks


Oct 27, 2020
Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez

* 24 pages 

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BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud


Jun 23, 2020
Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

* Accepted into CVPR 2020 Workshop Scalability in Autonomous Driving by Waymo 

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VFlow: More Expressive Generative Flows with Variational Data Augmentation


Feb 22, 2020
Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian


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Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems


Apr 10, 2018
Zihao Xiao, Jianfei Chen, Jun Zhu

* Accepted by AAAI-18, oral 

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Stochastic Training of Graph Convolutional Networks with Variance Reduction


Mar 01, 2018
Jianfei Chen, Jun Zhu, Le Song


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ZhuSuan: A Library for Bayesian Deep Learning


Sep 18, 2017
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

* The GitHub page is at https://github.com/thu-ml/zhusuan 

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Big Learning with Bayesian Methods


Mar 01, 2017
Jun Zhu, Jianfei Chen, Wenbo Hu, Bo Zhang

* 21 pages, 6 figures 

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Scalable Inference for Nested Chinese Restaurant Process Topic Models


Feb 23, 2017
Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu


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SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs


Oct 12, 2016
Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu

* 13 pages, 12 figures 

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WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation


Mar 02, 2016
Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen


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Scaling up Dynamic Topic Models


Feb 19, 2016
Arnab Bhadury, Jianfei Chen, Jun Zhu, Shixia Liu

* 10 pages, 8 figures, to appear in WWW 2016 

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Streaming Gibbs Sampling for LDA Model


Jan 06, 2016
Yang Gao, Jianfei Chen, Jun Zhu


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Dropout Training for SVMs with Data Augmentation


Aug 10, 2015
Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen

* 15 pages. arXiv admin note: substantial text overlap with arXiv:1404.4171 

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Dropout Training for Support Vector Machines


Apr 16, 2014
Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang


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