Publications

Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang (2023). Towards Real-Time Segmentation on the Edge. In AAAI.

Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu (2022). Advancing Model Pruning via Bi-level Optimization. In NeurIPS.

Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang (2022). All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. In ICCAD.

Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang (2022). Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. In ECCV.

Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen (2022). Pruning-as-Search: Effcient Neural Architecture Search via Channel Pruning and Structural Reparameterization. In IJCAI.

Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu (2022). Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. In IJCAI.

Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang (2021). Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search. In ICCV.

Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin (2021). Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. In DAC.

Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Chen, Xue Lin (2021). Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. In BMVC.

Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin (2021). Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. In IJCAI.

Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin (2021). NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. In CVPR.

Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren (2021). Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. In IJCAI-PRICAI.

Mengshu Sun, Pu Zhao, Mehmet Gungor, Massoud Pedram, Miriam Leeser, Xue Lin (2020). 3D CNN Acceleration on FPGA using Hardware-Aware Pruning. In DAC.

Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao (2020). CoCoPIE: Enabling Real-Time AI on Off-the-Shelf Mobile Devices via Compression-Compilation Co-Design. In CACM.

Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin (2020). Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. In ICLR.

Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin (2020). Towards query-efficient black-box adversary with zeroth-order natural gradient descent. In AAAI.

Lily Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel (2020). Towards certificated model robustness against weight perturbations. In AAAI.

Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin (2019). On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. In ICCV.

Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin (2019). Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. In DAC.

Kaidi Xu, Sijia Liu, Robert Ford, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin (2019). Structured Adversarial Attack: Towards General Implementation and Better Interpretability. In ICLR.

Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin (2019). HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. In GLSVLSI.

Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin (2019). Admm attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. In ASP-DAC.

Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin (2018). An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. In ACM MM.

Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin (2018). Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. In GlobalSIP.

Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin (2018). A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Hybrid Electric Vehicles. In ASP-DAC.

Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David Kaeli, Peter Chin, Xue Lin (2018). Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. In ICCAD.

Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram (2017). A Hierarchical Resource Allocation and Consolidation Framework in a Multi-Core Server Cluster Using a Markov Decision Process Model. In IET-CPS.

Pu Zhao, Meng Zhang, Hui Yu, Hanwen Luo, Wen Chen (2015). Robust Beamforming Design for Sum Secrecy Rate Optimization in MU-MISO Networks. In T TFS.