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Yiran Chen

Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure


Jun 07, 2021
Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li

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Enhancing Scientific Papers Summarization with Citation Graph


Apr 07, 2021
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

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* accepted by AAAI 2021 
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FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning


Mar 24, 2021
Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen

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* 12 pages, 6 figures 
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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

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* 12 pages, 8 figures 
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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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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