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Ang Li
PredCoin: Defense against Query-based Hard-label Attack

Feb 04, 2021
Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar, Ang Li, Cong Liu

* 13 pages 
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Cramér-Rao Bound Optimization for Joint Radar-Communication Design

Jan 29, 2021
Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar

* 13 pages, 7 figures, submitted to IEEE for possible publications 
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On Provable Backdoor Defense in Collaborative Learning

Jan 19, 2021
Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li


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Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

Jan 13, 2021
Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du


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Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Dec 08, 2020
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen


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GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Dec 08, 2020
Binghui Wang, Ang Li, Hai Li, Yiran Chen


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The Effectiveness of Memory Replay in Large Scale Continual Learning

Oct 06, 2020
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li

* 15 pages 
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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Sep 12, 2020
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen


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Evasion Attacks to Graph Neural Networks via Influence Function

Sep 12, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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Short-Term and Long-Term Context Aggregation Network for Video Inpainting

Sep 12, 2020
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

* Accepted by ECCV 2020 as a spotlight paper 
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Efficient Evasion Attacks to Graph Neural Networks via Influence Function

Sep 01, 2020
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen


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LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Aug 07, 2020
Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li


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Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs

Jun 30, 2020
Ang Li, Simon Su


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SOLA: Continual Learning with Second-Order Loss Approximation

Jun 19, 2020
Dong Yin, Mehrdad Farajtabar, Ang Li


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TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations

Jun 12, 2020
Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang


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Learning to Incentivize Other Learning Agents

Jun 10, 2020
Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

* 19 pages, 11 figures 
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MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones

Jun 01, 2020
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni


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Visual Localization Using Semantic Segmentation and Depth Prediction

May 25, 2020
Huanhuan Fan, Yuhao Zhou, Ang Li, Shuang Gao, Jijunnan Li, Yandong Guo


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PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing

May 24, 2020
Ang Li, Wei Du, Qinghua Li


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The AVA-Kinetics Localized Human Actions Video Dataset

May 20, 2020
Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman

* 8 pages, 8 figures 
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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Apr 20, 2020
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

* In proceeding of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). To be presented at EDLCV 2020 workshop co-located with CVPR 2020 
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Hybrid Models for Open Set Recognition

Mar 27, 2020
Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo

* 17 pages, 5 figures 
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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing

Feb 12, 2020
Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed Chi

* on Deep Reinforcement Learning workshop at NeurIPS 2019 
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RSnet: An improvement for Darknet

Jan 16, 2020
Shengquan Wang, Ang Li, Jiying Chen, Baoyu Zheng, Jiaxin Ji, Li Xianglong


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