Wujie Wen

发表

A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel

Yiran Chen, Yu Wang, Hai Li, 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

A new field-assisted access scheme of STT-RAM with self-reference capability

Yiran Chen, Rajiv V. Joshi, Hai Li, 2014, 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC).

Security of neuromorphic computing: Thwarting learning attacks using memristor's obsolescence effect

Yiran Chen, Jeyavijayan Rajendran, Qing Wu, 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

PS3-RAM: A Fast Portable and Scalable Statistical STT-RAM Reliability/Energy Analysis Method

Yu Wang, Yiran Chen, Yuan Xie, 2014, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

EFENDING DNN A DVERSARIAL A TTACKS WITH P RUNING AND L OGITS A UGMENTATION

X. Lin, Wujie Wen, Siyue Wang, 2018 .

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks

P. Venkitasubramaniam, Wujie Wen, Nuo Xu, 2022, ArXiv.

Reliable Memristive Neural Network Accelerators Based on Early Denoising and Sparsity Induction

Wujie Wen, Anlan Yu, Ning Lyu, 2022, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Wujie Wen, Nuo Xu, Jieming Yin, 2022, ArXiv.

PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference

Tong Geng, Caiwen Ding, Wujie Wen, 2022, ArXiv.

Guest Editorial

Swarup Bhunia, Wei Zhang, Wujie Wen, 2020, ACM J. Emerg. Technol. Comput. Syst..

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples

Caiwen Ding, Wujie Wen, Nuo Xu, 2022, 2209.03358.

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining

J. Bi, Tong Geng, Caiwen Ding, 2022, DAC.

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

Jie Xu, Tao Liu, Gang Quan, 2018, Design Automation Conference.

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples

Caiwen Ding, Wujie Wen, Nuo Xu, 2022, ArXiv.

On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks

Yanzhi Wang, Bo Yuan, Liang Zhao, 2018, AAAI.

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

Yiyu Shi, Qi Liu, Xiaowei Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

Tong Geng, Caiwen Ding, Wujie Wen, 2023, ArXiv.

3DICT: A Reliable and QoS Capable Mobile Process-In-Memory Architecture for Lookup-based CNNs in 3D XPoint ReRAMs

Wujie Wen, Lei Jiang, Qian Lou, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs

Minje Kim, Danghui Wang, Wujie Wen, 2017, 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

A Fault-Tolerant Neural Network Architecture

Tao Liu, Gang Quan, Yanzhi Wang, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Security analysis and enhancement of model compressed deep learning systems under adversarial attacks

Tao Liu, Qi Liu, Yanzhi Wang, 2018, 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC).

Game Theoretic-Based Approaches for Cybersecurity-Aware Virtual Machine Placement in Public Cloud Clusters

Gang Quan, Laurent Njilla, Wujie Wen, 2019, 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

Tao Liu, Qi Liu, Yanzhi Wang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks

P. Venkitasubramaniam, Wujie Wen, Nuo Xu, 2022, Asia-Pacific Computer Systems Architecture Conference.

A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

Yanzhi Wang, Jian Tang, Kaiqi Zhang, 2018, ECCV.

Stealing Your Data from Compressed Machine Learning Models

Xiaochen Guo, Wujie Wen, Nuo Xu, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach

Qi Liu, Wujie Wen, Tao Liu, 2020, MICCAI.

Model Compression Hardens Deep Neural Networks: A New Perspective to Prevent Adversarial Attacks

Wujie Wen, Qi Liu, Wujie Wen, 2021, IEEE Transactions on Neural Networks and Learning Systems.

StegoNet: Turn Deep Neural Network into a Stegomalware

Wenyao Xu, Tao Liu, Wujie Wen, 2020, ACSAC.

Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems

Pramod K. Varshney, Yanzhi Wang, Sijia Liu, 2018, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Wujie Wen, Nuo Xu, Jieming Yin, 2022, NeurIPS.

Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators

Yanzhi Wang, Wujie Wen, Qi Liu, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM pdf

Yanzhi Wang, Jian Tang, Sijia Liu, 2019, ArXiv.

Thermal-constrained energy efficient real-time scheduling on multi-core platforms

Gang Quan, Wujie Wen, Gustavo A. Chaparro-Baquero, 2019, Parallel Comput..

The Prospect of STT-RAM Scaling From Readability Perspective

Yiran Chen, Wujie Wen, Yaojun Zhang, 2012, IEEE Transactions on Magnetics.

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs

Wenyao Xu, Qinru Qiu, Chang Liu, 2018, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

ECC Cache: A Lightweight Error Detection for Phase-Change Memory Stuck-At Faults

Chao Zhang, Xiaochen Guo, Wujie Wen, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Tong Geng, Caiwen Ding, Wujie Wen, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration

Caiwen Ding, Wujie Wen, Nuo Xu, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference

Tong Geng, Caiwen Ding, Wujie Wen, 2022, ArXiv.

FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency

Yiran Chen, Jingtong Hu, Danghui Wang, 2017, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators

Wujie Wen, Yiyu Shi, Zheyu Yan, 2023, ArXiv.

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

Yanzhi Wang, Xiaolong Ma, Wujie Wen, 2019, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs pdf

Jiayu Li, Yanzhi Wang, Jian Tang, 2018, ArXiv.

SIN2: Stealth infection on neural network — A low-cost agile neural Trojan attack methodology

Tao Liu, Yier Jin, Wujie Wen, 2018, 2018 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).

Defensive dropout for hardening deep neural networks under adversarial attacks

Xiao Wang, David R. Kaeli, Pu Zhao, 2018, ICCAD.

Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective

Jian Zhuang, Tsung-Yi Ho, Wujie Wen, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Low complexity quasi-optimum Decision Feedback Equalizer design for high rate ultra-wideband communication

Liang Zhu, Ning Ge, Wujie Wen, 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

Jie Xu, Tao Liu, Gang Quan, 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).

Orchestrating Medical Image Compression and Remote Segmentation Networks

Qi Liu, Wujie Wen, Tao Liu, 2020, MICCAI.

Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation

Rosario Cammarota, Wujie Wen, Fateme S. Hosseini, 2021, ACM Trans. Embed. Comput. Syst..

Efficient Implementation of Finite Field Arithmetic for Binary Ring-LWE Post-Quantum Cryptography Through a Novel Lookup-Table-Like Method

Wujie Wen, Jiafeng Xie, Pengzhou He, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Caiwen Ding, Wujie Wen, Hongwu Peng, 2023, ArXiv.

SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference

Wei Wang, Caiwen Ding, Wujie Wen, 2023, ICML.

An ECC-Free MLC STT-RAM Based Approximate Memory Design for Multimedia Applications

Tao Liu, Wujie Wen, Jie Guo, 2018, 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Efficient LDPC Code Design for Combating Asymmetric Errors in STT-RAM

Wujie Wen, Yukui Pei, Bohua Li, 2018, ACM J. Emerg. Technol. Comput. Syst..

Efficient Low-Density Parity-Check (LDPC) Code Decoding for Combating Asymmetric Errors in STT-RAM

Wujie Wen, Yukui Pei, Bohua Li, 2016, 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Security analysis and enhancement of model compressed deep learning systems under adversarial attacks

Yanzhi Wang, Wujie Wen, Qi Liu, 2018, 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC).

TEMP: Thread batch enabled memory partitioning for GPU

Yiran Chen, Jingtong Hu, Danghui Wang, 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).

Processor/memory Co-Scheduling using periodic resource server for real-time systems under peak temperature constraints

Gang Quan, Wujie Wen, Gustavo A. Chaparro-Baquero, 2017, 2017 18th International Symposium on Quality Electronic Design (ISQED).

On Fundamental Principles for Thermal-Aware Design on Periodic Real-Time Multi-Core Systems

Gang Quan, Wujie Wen, Xiaokun Yang, 2020, ACM Trans. Design Autom. Electr. Syst..

M-Oscillating: Performance Maximization on Temperature-Constrained Multi-Core Processors

Shaolei Ren, Gang Quan, Wujie Wen, 2018, IEEE Transactions on Parallel and Distributed Systems.

Performance Maximization via Frequency Oscillation on Temperature Constrained Multi-core Processors

Shaolei Ren, Gang Quan, Ming Fan, 2016, 2016 45th International Conference on Parallel Processing (ICPP).

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Caiwen Ding, Wujie Wen, Hongwu Peng, 2023, ArXiv.

Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise

Wujie Wen, Yi Shi, Zheyu Yan, 2023, 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD).

NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks

Wujie Wen, Jieming Yin, Chengmo Yang, 2023, USENIX Security Symposium.

COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects

Wujie Wen, Jieming Yin, Anlan Yu, 2023, ICML.

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

Yanzhi Wang, Wujie Wen, Qi Liu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test

Wujie Wen, Chengmo Yang, Qi Liu, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).