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Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning


Feb 25, 2021
Haibo Yang, Minghong Fang, Jia Liu

* Published as a conference paper at ICLR 2021, final version 

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Data Poisoning Attacks and Defenses to Crowdsourcing Systems


Feb 24, 2021
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu

* To appear in the Web Conference 2021 (WWW '21) 

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Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks


Jan 16, 2021
Jia Liu, Yaochu Jin


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FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping


Dec 27, 2020
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong

* To appear in NDSS 2021 

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The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons


Jul 06, 2020
Wenbo Ren, Jia Liu, Ness B. Shroff


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Multi-Armed Bandits with Local Differential Privacy


Jul 06, 2020
Wenbo Ren, Xingyu Zhou, Jia Liu, Ness B. Shroff


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Transformation Importance with Applications to Cosmology


Mar 04, 2020
Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Boehm, Jia Liu, Bin Yu

* Accepted to ICLR 2020 Workshop on Fundamental Science in the era of AI 

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Toward Low-Cost and Stable Blockchain Networks


Feb 26, 2020
Minghong Fang, Jia Liu

* Accepted by IEEE ICC 2020 

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Influence Function based Data Poisoning Attacks to Top-N Recommender Systems


Feb 19, 2020
Minghong Fang, Neil Zhenqiang Gong, Jia Liu

* Accepted by WWW 2020; This is technical report version 

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Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree


Feb 02, 2020
Peizhong Ju, Xiaojun Lin, Jia Liu


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Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach


Jan 19, 2020
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu


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Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization


Jan 15, 2020
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu

* First draft 

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Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems


Dec 16, 2019
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu

* Submit to TSP 

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Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms


Dec 08, 2019
Guangxia Lia, Yulong Shena, Peilin Zhaob, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi


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FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation


Nov 08, 2019
Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng


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Hierarchical Feature-Aware Tracking


Oct 18, 2019
Wenhua Zhang, Licheng Jiao, Jia Liu


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Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach


Sep 10, 2019
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu


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On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons


Sep 07, 2019
Wenbo Ren, Jia Liu, Ness B. Shroff


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Urban flows prediction from spatial-temporal data using machine learning: A survey


Aug 26, 2019
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang


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Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach


May 28, 2019
Xin Zhang, Jia Liu, Zhengyuan Zhu


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Nucleus Neural Network: A Data-driven Self-organized Architecture


May 14, 2019
Jia Liu, Maoguo Gong, Haibo He


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LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation


May 13, 2019
Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, Longin Jan Latecki

* 5 pages,3 figures,3 tables,accepted in IEEE ICIP 2019 

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Nucleus Neural Network for Super Robust Learning


Apr 08, 2019
Jia Liu, Maoguo Gong, Haibo He


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Habitat: A Platform for Embodied AI Research


Apr 02, 2019
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra


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