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Hai Li

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

Sep 01, 2020
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, 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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NASGEM: Neural Architecture Search via Graph Embedding Method

Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

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Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces

Jun 12, 2020
Chaofei Yang, Lei Ding, Yiran Chen, Hai Li

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PENNI: Pruned Kernel Sharing for Efficient CNN Inference

May 14, 2020
Shiyu Li, Edward Hanson, Hai Li, Yiran Chen

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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

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Neural Predictor for Neural Architecture Search

Dec 02, 2019
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans

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AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture

Nov 21, 2019
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen

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Defending Neural Backdoors via Generative Distribution Modeling

Nov 06, 2019
Ximing Qiao, Yukun Yang, Hai Li

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