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Chen Zhu

Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed


Apr 25, 2021
Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad

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* 5 pages, 3 figures 
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The Intrinsic Dimension of Images and Its Impact on Learning


Apr 18, 2021
Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein

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* To appear at ICLR 2021 (spotlight), 17 pages with appendix, 15 figures 
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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training


Feb 16, 2021
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein

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Modifying Memories in Transformer Models


Dec 01, 2020
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix Yu, Sanjiv Kumar

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Spherical Knowledge Distillation


Oct 29, 2020
Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

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Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks


Oct 24, 2020
Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang

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FLAG: Adversarial Data Augmentation for Graph Neural Networks


Oct 19, 2020
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein

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Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer


Oct 14, 2020
Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein

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Adaptive Learning Rates with Maximum Variation Averaging


Jun 21, 2020
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning


Jun 11, 2020
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

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Headless Horseman: Adversarial Attacks on Transfer Learning Models


Apr 20, 2020
Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu

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* 5 pages, 2 figures. Accepted in ICASSP 2020. Code available on https://github.com/zhuchen03/headless-attack.git 
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Certified Defenses for Adversarial Patches


Mar 14, 2020
Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studor, Tom Goldstein

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* to be published in International Conference on Learning Representations, ICLR 2020 
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SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback


Feb 23, 2020
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

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* The Thirty-Fourth AAAI Conference on Artificial Intelligenc (AAAI'20), New York, New York, USA, 2020 
 * This paper has been accepted in AAAI'20 
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Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers


Feb 22, 2020
Chen Zhu, Renkun Ni, Ping-yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein

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Adaptive Densely Connected Super-Resolution Reconstruction


Dec 18, 2019
Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li

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Learning from Noisy Anchors for One-stage Object Detection


Dec 11, 2019
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis

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FreeLB: Enhanced Adversarial Training for Language Understanding


Oct 05, 2019
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

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Strong Baseline Defenses Against Clean-Label Poisoning Attacks


Sep 29, 2019
Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

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* First two authors contributed equally 
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Adversarially robust transfer learning


May 20, 2019
Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein

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Transferable Clean-Label Poisoning Attacks on Deep Neural Nets


May 16, 2019
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

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* Accepted to ICML2019 
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Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach


Dec 21, 2018
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong

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* This is an extended version of our SIGIR18 paper 
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Fine-grained Video Categorization with Redundancy Reduction Attention


Oct 26, 2018
Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma

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* Correcting a typo in ECCV version 
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Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning


Oct 08, 2018
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li

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* ACM Transactions on Management Information Systems (2018) 
 * 16 pages, 5 figures 
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Fusion of Monocular Vision and Radio-based Ranging for Global Scale Estimation and Drift Mitigation


Oct 02, 2018
Young-Hee Lee, Chen Zhu, Gabriele Giorgi, Christoph Günther

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* Submitted to the International Conference on Robotics and Automation (ICRA) 2019 
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Learning Visual Knowledge Memory Networks for Visual Question Answering


Jun 13, 2018
Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li

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* Supplementary to CVPR 2018 version 
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Compressing Neural Networks using the Variational Information Bottleneck


Apr 19, 2018
Bin Dai, Chen Zhu, David Wipf

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Recruitment Market Trend Analysis with Sequential Latent Variable Models


Dec 08, 2017
Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie

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* 11 pages, 30 figure, SIGKDD 2016 
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