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BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization

Feb 20, 2021
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li

* Published as a conference paper at ICLR 2021 

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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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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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Automatic Routability Predictor Development Using Neural Architecture Search

Dec 03, 2020
Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

* 7 pages, 5 figures, submitted to DAC'21 

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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


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Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation

Nov 27, 2020
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen

* 2021 Asia and South Pacific Design Automation Conference (ASP-DAC 2021) 

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PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

Nov 26, 2020
Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen

* 2020 Asia and South Pacific Design Automation Conference (ASP-DAC 2020) 

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FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Nov 26, 2020
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza

* 2020 Asia and South Pacific Design Automation Conference (ASP-DAC 2020) 

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Fast IR Drop Estimation with Machine Learning

Nov 26, 2020
Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen

* 2020 International Conference On Computer Aided Design (ICCAD 2020) 

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CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Oct 22, 2020
Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

* 13 pages, Findings of EMNLP2020 

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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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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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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Jul 21, 2020
Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao

* published on DAC 2020 

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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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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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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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PENNI: Pruned Kernel Sharing for Efficient CNN Inference

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


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TRP: Trained Rank Pruning for Efficient Deep Neural Networks

Apr 30, 2020
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

* Accepted by IJCAI2020, An extension version of arXiv:1812.02402 

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Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

Apr 29, 2020
Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen


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Transferable Perturbations of Deep Feature Distributions

Apr 27, 2020
Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen

* Published as a conference paper at ICLR 2020 

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