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Long-Short Transformer: Efficient Transformers for Language and Vision


Jul 27, 2021
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro


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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu


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Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed


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

* 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

* 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

* 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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