Wujie Wen

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 125

Top Venues

Publications

Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. CoRR (2024)
Yang Gao, Gang Quan, Soamar Homsi, Wujie Wen, Liqiang Wang
Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption. CoRR (2024)
Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. CoRR (2024)
Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding, Xiaolin Xu
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing. CoRR (2024)
Yifan Qin, Zheyu Yan, Zixuan Pan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators. CoRR (2024)
Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR (2023)
Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise. ICCAD (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC (2023)
Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. SP (2023)
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR (2023)
Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC (2023)
Yifan Qin, Zheyu Yan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators. CoRR (2023)
Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference. NeurIPS (2023)
Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise. CoRR (2023)
Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. CoRR (2023)
Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference. ICML (2023)
Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects. ICML (2023)
Qi Liu, Wujie Wen
Model Compression Hardens Deep Neural Networks: A New Perspective to Prevent Adversarial Attacks. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR (2023)
Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS (2023)
Qi Liu, Jieming Yin, Wujie Wen, Chengmo Yang, Shi Sha
NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks. USENIX Security Symposium (2023)
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV (2023)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC (2022)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference. CoRR (2022)
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR (2022)
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC (2022)
Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. CoRR (2022)
Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. NeurIPS (2022)
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System. CoRR (2022)
Anlan Yu, Ning Lyu, Wujie Wen, Zhiyuan Yan
Reliable Memristive Neural Network Accelerators Based on Early Denoising and Sparsity Induction. ASP-DAC (2022)
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. ICCAD (2022)
Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR (2022)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR (2022)
Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. Big Data (2022)
Fateme S. Hosseini, Qi Liu, Fanruo Meng, Chengmo Yang, Wujie Wen
Safeguarding the Intelligence of Neural Networks with Built-in Light-weight Integrity MArks (LIMA). HOST (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)
Jiafeng Xie, Pengzhou He, Wujie Wen
Efficient Implementation of Finite Field Arithmetic for Binary Ring-LWE Post-Quantum Cryptography Through a Novel Lookup-Table-Like Method. DAC (2021)
Fateme S. Hosseini, Fanruo Meng, Chengmo Yang, Wujie Wen, Rosario Cammarota
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang
Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test. DAC (2020)
Zihao Liu, Sicheng Li, Yen-kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen
Orchestrating Medical Image Compression and Remote Segmentation Networks. MICCAI (4) (2020)
Hai Helen Li, Wei Zhang, Swarup Bhunia, Wujie Wen
Introduction to the Special Issue on New Trends in Nanoelectronic Device, Circuit, and Architecture Design, Part 1. ACM J. Emerg. Technol. Comput. Syst. 16 (3) (2020)
Wei Zhang, Hai Helen Li, Wujie Wen, Swarup Bhunia
Guest Editorial: ACM JETC Special Issue on New Trends in Nanolectronic Device, Circuit, and Architecture Design: Part 2. ACM J. Emerg. Technol. Comput. Syst. 16 (4) (2020)
Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective. BIBM (2020)
Tao Liu, Gang Quan, Wujie Wen
FPT-spike: a flexible precise-time-dependent single-spike neuromorphic computing architecture. CCF Trans. High Perform. Comput. 2 (3) (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)
Qi Liu, Wujie Wen, Yanzhi Wang
Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. ICCAD (2020)
Shi Sha, Ajinkya S. Bankar, Xiaokun Yang, Wujie Wen, Gang Quan
On Fundamental Principles for Thermal-Aware Design on Periodic Real-Time Multi-Core Systems. ACM Trans. Design Autom. Electr. Syst. 25 (2) (2020)
Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen
Stealing Your Data from Compressed Machine Learning Models. DAC (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) (2020)
Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Mark Barnell, Qing Wu, Wujie Wen, Jeyavijayan Rajendran
Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Qi Liu, Han Jiang, Tao Liu, Zihao Liu, Sicheng Li, Wujie Wen, Yiyu Shi
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach. MICCAI (4) (2020)
Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li
StegoNet: Turn Deep Neural Network into a Stegomalware. ACSAC (2020)
Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective. CoRR (2020)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC (2020)
Chao Zhang, Khaled Abdelaal, Angel Chen, Xinhui Zhao, Wujie Wen, Xiaochen Guo
ECC Cache: A Lightweight Error Detection for Phase-Change Memory Stuck-At Faults. ICCAD (2020)
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li
Thread Batching for High-performance Energy-efficient GPU Memory Design. ACM J. Emerg. Technol. Comput. Syst. 15 (4) (2019)
Tao Liu, Wujie Wen
Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable. ICCAD (2019)
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA (2019)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR (2019)
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li
Thread Batching for High-performance Energy-efficient GPU Memory Design. CoRR (2019)
Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR (2019)
Tao Liu, Wujie Wen
Deep-evasion: Turn deep neural network into evasive self-contained cyber-physical malware: poster. WiSec (2019)
Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI (2019)
Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CVPR (2019)
Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan
A Fault-Tolerant Neural Network Architecture. DAC (2019)
Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CoRR (2019)
Shi Sha, Wujie Wen, Gustavo A. Chaparro-Baquero, Gang Quan
Thermal-constrained energy efficient real-time scheduling on multi-core platforms. Parallel Comput. 85 (2019)
Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen
A system-level perspective to understand the vulnerability of deep learning systems. ASP-DAC (2019)
Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CVPR (2019)
Soamar Homsi, Gang Quan, Wujie Wen, Gustavo A. Chaparro-Baquero, Laurent Njilla
Game Theoretic-Based Approaches for Cybersecurity-Aware Virtual Machine Placement in Public Cloud Clusters. CCGRID (2019)
Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks. CoRR (2018)
Tao Liu, Wujie Wen, Yier Jin
: Stealth infection on neural network - A low-cost agile neural Trojan attack methodology. HOST (2018)
Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. ASP-DAC (2018)
Tao Liu, Zihao Liu, Fuhong Lin, Yier Jin, Gang Quan, Wujie Wen
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation. CoRR (2018)
Xiaokun Yang, Wujie Wen, Ming Fan
Improving AES Core Performance via an Advanced ASBUS Protocol. ACM J. Emerg. Technol. Comput. Syst. 14 (1) (2018)
Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen
PT-spike: A precise-time-dependent single spike neuromorphic architecture with efficient supervised learning. ASP-DAC (2018)
Tao Liu, Zihao Liu, Qi Liu, Wujie Wen
Enhancing the Robustness of Deep Neural Networks from "Smart" Compression. ISVLSI (2018)
Zihao Liu, Mengjie Mao, Tao Liu, Xue Wang, Wujie Wen, Yiran Chen, Hai Li, Danghui Wang, Yukui Pei, Ning Ge
TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (10) (2018)
Bohua Li, Yukui Pei, Wujie Wen
Efficient LDPC Code Design for Combating Asymmetric Errors in STT-RAM. ACM J. Emerg. Technol. Comput. Syst. 14 (1) (2018)
Qian Lou, Wujie Wen, Lei Jiang
3DICT: a reliable and QoS capable mobile process-in-memory architecture for lookup-based CNNs in 3D XPoint ReRAMs. ICCAD (2018)
Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CoRR (2018)
Shi Sha, Wujie Wen, Shaolei Ren, Gang Quan
M-Oscillating: Performance Maximization on Temperature-Constrained Multi-Core Processors. IEEE Trans. Parallel Distributed Syst. 29 (11) (2018)
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. 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. CoRR (2018)
Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. 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)
Shimeng Yu, Chenchen Liu, Wujie Wen, Yiran Chen
Special session on reliability and vulnerability of neuromorphic computing systems. VTS (2018)
Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning. CoRR (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) (2018)
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. DAC (2018)
Zihao Liu, Tao Liu, Jie Guo, Nansong Wu, Wujie Wen
An ECC-Free MLC STT-RAM Based Approximate Memory Design for Multimedia Applications. ISVLSI (2018)
Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems. CoRR (2018)
Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR (2018)
Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. ICC (2018)
Xunchao Chen, Navid Khoshavi, Ronald F. DeMara, Jun Wang, Dan Huang, Wujie Wen, Yiran Chen
Energy-Aware Adaptive Restore Schemes for MLC STT-RAM Cache. IEEE Trans. Computers 66 (5) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wujie Wen