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Jianyu Wang
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Oct 03, 2020
Yae Jee Cho, Jianyu Wang, Gauri Joshi


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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Jul 15, 2020
Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor


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Band-limited Soft Actor Critic Model

Jun 19, 2020
Miguel Campo, Zhengxing Chen, Luke Kung, Kittipat Virochsiri, Jianyu Wang

* 8 pages plus additional material 
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Slow and Stale Gradients Can Win the Race

Mar 23, 2020
Sanghamitra Dutta, Jianyu Wang, Gauri Joshi

* Some of the results have appeared in AISTATS 2018. This is an extended version with additional results, in particular, an adaptive synchronicity strategy called AdaSync. arXiv admin note: substantial text overlap with arXiv:1803.01113 
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Machine Learning on Volatile Instances

Mar 12, 2020
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong


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Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD

Feb 21, 2020
Jianyu Wang, Hao Liang, Gauri Joshi

* Accepted to ICASSP 2020 
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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

Nov 22, 2019
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar

* arXiv admin note: substantial text overlap with arXiv:1905.03333 
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Deep topic modeling by multilayer bootstrap network and lasso

Oct 24, 2019
Jianyu Wang, Xiao-Lei Zhang


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Compositional Generalization for Primitive Substitutions

Oct 07, 2019
Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness

* EMNLP 2019 
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SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Oct 01, 2019
Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael Rabbat


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Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks

Jul 31, 2019
Haichao Zhang, Jianyu Wang


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Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Jul 29, 2019
Haichao Zhang, Jianyu Wang


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Towards Adversarially Robust Object Detection

Jul 24, 2019
Haichao Zhang, Jianyu Wang

* ICCV 2019 
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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

May 23, 2019
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar


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Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

Nov 26, 2018
Jianyu Wang


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Zero-Shot Transfer VQA Dataset

Nov 02, 2018
Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu


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Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms

Oct 19, 2018
Jianyu Wang, Gauri Joshi


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Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD

Oct 19, 2018
Jianyu Wang, Gauri Joshi


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Improving Transferability of Adversarial Examples with Input Diversity

Jun 11, 2018
Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, Alan Yuille

* Submitted to ECCV 2018, code available at https://github.com/cihangxie/DI-2-FGSM 
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Adversarial Attacks and Defences Competition

Mar 31, 2018
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

* 36 pages, 10 figures 
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DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion

Mar 29, 2018
Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille


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Mitigating Adversarial Effects Through Randomization

Feb 28, 2018
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille

* To appear in ICLR 2018, code available at https://github.com/cihangxie/NIPS2017_adv_challenge_defense 
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Visual Concepts and Compositional Voting

Nov 13, 2017
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan Yuille

* It is accepted by Annals of Mathematical Sciences and Applications 
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Detecting Semantic Parts on Partially Occluded Objects

Jul 25, 2017
Jianyu Wang, Cihang Xie, Zhishuai Zhang, Jun Zhu, Lingxi Xie, Alan Yuille

* Accepted to BMVC 2017 (13 pages, 3 figures) 
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Adversarial Examples for Semantic Segmentation and Object Detection

Jul 21, 2017
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

* To appear in ICCV 2017 
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Unsupervised learning of object semantic parts from internal states of CNNs by population encoding

Nov 12, 2016
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Vittal Premachandran, Alan Yuille


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Semantic Part Segmentation using Compositional Model combining Shape and Appearance

Dec 18, 2014
Jianyu Wang, Alan Yuille


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