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Chen Zhu
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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 11 pages, 30 figure, SIGKDD 2016 
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Structured Attentions for Visual Question Answering

Aug 07, 2017
Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma

* ICCV2017 
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