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Incentivized Bandit Learning with Self-Reinforcing User Preferences

May 31, 2021
Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng

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GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning

May 19, 2021
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley

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Silicon Photonics in Optical Access Networks for 5G Communications

May 12, 2021
Xun Guan, Wei Shi, Jia Liu, Peng Tan, Jim Slevinsky, Leslie A. Rusch

* 6 pages, 5 figures, accepted to IEEE communication magazine 

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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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