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The Multi-speaker Multi-style Voice Cloning Challenge 2021


Apr 05, 2021
Qicong Xie, Xiaohai Tian, Guanghou Liu, Kun Song, Lei Xie, Zhiyong Wu, Hai Li, Song Shi, Haizhou Li, Fen Hong, Hui Bu, Xin Xu

* has been accepted to ICASSP 2021 

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Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?


Mar 17, 2021
Nathan Inkawhich, Kevin J Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen


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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks


Mar 17, 2021
Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen

* 12 pages, 8 figures 

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A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications


Mar 02, 2021
Eren Kurshan, Hai Li, Mingoo Seok, Yuan Xie


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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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Improving Adversarial Robustness in Weight-quantized Neural Networks


Jan 23, 2021
Chang Song, Elias Fallon, Hai Li

* 10 pages 

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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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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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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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DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles


Oct 18, 2020
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li

* To be appeared in NeurIPS 2020 conference (Oral) 

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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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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

* 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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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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Structural sparsification for Far-field Speaker Recognition with GNA


Oct 25, 2019
Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen

* submitted to icassp2020 

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Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training


Sep 25, 2019
Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li


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Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment


Sep 18, 2019
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li


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