Pu Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 104

Top Venues

Publications

Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang
DiffClass: Diffusion-Based Class Incremental Learning. CoRR (2024)
Pu Zhao, Zeng Liu, Jinjun Liu
An Adaptive Discrete Piecewise Droop Control in DC Microgrids. IEEE Trans. Smart Grid 15 (2) (2024)
Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings Bioinform. 24 (3) (2023)
Yurun Wang, Pu Zhao, Senkai Xie, Wenjia Zhang
Mesoscale Structure in Urban-Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis. ISPRS Int. J. Geo Inf. 12 (5) (2023)
Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan Goldh
Less is More: Data Pruning for Faster Adversarial Training. CoRR (2023)
Liangjie Sun, Yushan Qiu, Wai-Ki Ching, Pu Zhao, Quan Zou
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Comput. Biol. 19 (3) (2023)
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR (2023)
Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) (2022)
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD (2022)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. CoRR (2022)
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. CoRR (2022)
Pu Zhao
A novel parameter identification method for flexible-joint robots using input torque and motor-side motion data. Robotica 40 (9) (2022)
Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. IJCAI (2022)
Ying Yang, Sha Tian, Yushan Qiu, Pu Zhao, Quan Zou
MDICC: novel method for multi-omics data integration and cancer subtype identification. Briefings Bioinform. 23 (3) (2022)
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. KDD (2022)
Wenjia Zhang, Zhaoya Gong, Caicheng Niu, Pu Zhao, Qiwei Ma, Pengjun Zhao
Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis. Comput. Environ. Urban Syst. 96 (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR (2022)
Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE (2022)
Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI (2022)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR (2022)
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Lu Jia, Pu Zhao, Qian Li
Research and application of business finance integration solution for military manufacturing. CSSE (2022)
Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. CoRR (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD (2022)
Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. IJCAI (2022)
Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. CoRR (2022)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) (2022)
Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED (2022)
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR (2021)
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV (2021)
Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. AAAI (2021)
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
Effective low capacity status prediction for cloud systems. ESEC/SIGSOFT FSE (2021)
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
How Long Will it Take to Mitigate this Incident for Online Service Systems? ISSRE (2021)
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. ICSE (2021)
Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. WWW (2021)
Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. DAC (2021)
Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang
AutoCCAG: An Automated Approach to Constrained Covering Array Generation. ICSE (2021)
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
Fighting the Fog of War: Automated Incident Detection for Cloud Systems. USENIX Annual Technical Conference (2021)
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
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR (2021)
Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. SIGIR (2021)
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR (2021)
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI (2021)
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS (2021)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR (2021)
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR (2021)
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. CoRR (2021)
Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. AAAI (2021)
Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin
Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. BMVC (2021)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI (2021)
Wenjia Zhang, Jiancheng Zhu, Pu Zhao
Comparing World City Networks by Language: A Complex-Network Approach. ISPRS Int. J. Geo Inf. 10 (4) (2021)
Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64 (6) (2021)
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. CoRR (2021)
Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin
Defending against Backdoor Attack on Deep Neural Networks. CoRR (2020)
Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel
Towards Certificated Model Robustness Against Weight Perturbations. AAAI (2020)
Pu Zhao, Jia Yu, Hanlin Zhang, Zhan Qin, Cong Wang
How to Securely Outsource Finding the Min-Cut of Undirected Edge-Weighted Graphs. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR (2020)
Pu Zhao, Wentao Zhao, Qiang Liu, Anbang Wang
Trusted Link-Separation Multipath Selection for Software-Defined Wireless Sensor Networks in Adversarial Environments. SPDE (2020)
Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin
Intelligent Virtual Machine Provisioning in Cloud Computing. IJCAI (2020)
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. CoRR (2020)
Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR (2020)
Pu Zhao, Meng Zhang, Hui Yu, Hanwen Luo, Wen Chen
Robust Beamforming Design for Sum Secrecy Rate Optimization in MU-MISO Networks. CoRR (2020)
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. ESEC/SIGSOFT FSE (2020)
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. CoRR (2020)
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
Identifying linked incidents in large-scale online service systems. ESEC/SIGSOFT FSE (2020)
Pu Zhao, Wentao Zhao, Qiang Liu
Research on SDN Enabled by Machine Learning: An Overview. 6GN (2020)
Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR (2020)
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. ICLR (2020)
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. CoRR (2020)
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE (2020)
Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli
Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. 100 (2020)
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. AAAI (2020)
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
Efficient customer incident triage via linking with system incidents. ESEC/SIGSOFT FSE (2020)
Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR (2020)
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. CoRR (2020)
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. CoRR (2020)
Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin
3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC (2020)
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga K. Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. OSDI (2020)
Pu Zhao, Yunfei Zhou
Active vibration control of flexible-joint manipulators using accelerometers. Ind. Robot 47 (1) (2020)
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. IJCAI (2020)
Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin
ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. ASP-DAC (2019)
Pu Zhao, Xin Sun, Jingtao Shang, Jianjun Lin, Mingming Dong, Bo Li
A Dynamic Convergent Replica Selection Strategy Based on Cloud Storage. AIAM (IEEE) (2019)
Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin
Interpreting Adversarial Examples by Activation Promotion and Suppression. CoRR (2019)
Pu Zhao, Wentao Zhao, Qiang Liu
Multi-objective Link-Separation Multipath Selection Using k Max-Min for Software-Defined MANETs. MSN (2019)
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. ICCV (2019)
Xiao Tu, Yunfei Zhou, Pu Zhao, Xin Cheng
Modeling the Static Friction in a Robot Joint by Genetically Optimized BP Neural Network. J. Intell. Robotic Syst. 94 (1) (2019)
Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. CoRR (2019)
Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. DAC (2019)
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. CoRR (2019)
Pu Zhao, Jia Yu, Hanlin Zhang
Secure Outsourcing Algorithm for Signature Generation in Privacy-preserving Public Cloud Storage Auditing. J. Inf. Sci. Eng. 35 (3) (2019)
Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin
HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) (2019)
Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. ACM Multimedia (2018)
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR (2018)
Aibing Ji, FengGe Liu, Pu Zhao, Jia-hong Pang
Fuzzy efficiency measures in data envelopment analysis with interactive fuzzy variables. J. Intell. Fuzzy Syst. 34 (6) (2018)
Hanlin Zhang, Jia Yu, Chengliang Tian, Pu Zhao, Guobin Xu, Jie Lin
Cloud Storage for Electronic Health Records Based on Secret Sharing With Verifiable Reconstruction Outsourcing. IEEE Access 6 (2018)
Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP (2018)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR (2018)
Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Sang Peter Chin, Xue Lin
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD (2018)
Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin
Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP (2018)
Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin
A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. ASP-DAC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pu Zhao