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2020 – today
- 2024
[j19]Yang Gao, Gang Quan
, Soamar Homsi, Wujie Wen, Liqiang Wang:
Secure and efficient general matrix multiplication on cloud using homomorphic encryption. J. Supercomput. 80(18): 26394-26434 (2024)- [c84]Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen:
Ants: Attacking Spatial Temporal Graph Learning Networks Structurally. COMPSAC 2024: 1023-1028 - [i35]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 abs/2401.11664 (2024) - [i34]Yang Gao, Gang Quan, Soamar Homsi, Wujie Wen, Liqiang Wang:
Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption. CoRR abs/2405.02238 (2024) - [i33]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 abs/2406.02629 (2024) - [i32]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 abs/2406.06544 (2024) - [i31]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 abs/2407.05633 (2024) - 2023
- [j18]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): 3-14 (2023) - [c83]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: 1-6 - [c82]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: 1-6 - [c81]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: 1-9 - [c80]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: 5155-5165 - [c79]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: 28718-28728 - [c78]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: 40277-40289 - [c77]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: 628-640 - [c76]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 - [c75]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 - [c74]Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding:
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. SP 2023: 1944-1960 - [c73]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: 6347-6364 - [i30]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 abs/2302.02292 (2023) - [i29]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 abs/2304.12214 (2023) - [i28]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 abs/2305.14561 (2023) - [i27]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 abs/2306.15513 (2023) - [i26]Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding:
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. CoRR abs/2307.13231 (2023) - [i25]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 abs/2307.15853 (2023) - [i24]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 abs/2308.10134 (2023) - [i23]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 abs/2309.14331 (2023) - 2022
- [c72]Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam:
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC 2022: 669-683 - [c71]Anlan Yu, Ning Lyu, Wujie Wen, Zhiyuan Yan:
Reliable Memristive Neural Network Accelerators Based on Early Denoising and Sparsity Induction. ASP-DAC 2022: 598-603 - [c70]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. IEEE Big Data 2022: 5823-5832 - [c69]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: 1135-1140 - [c68]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: 35:1-35:9 - [c67]Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen:
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. NeurIPS 2022 - [i22]Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam:
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR abs/2206.05565 (2022) - [i21]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 abs/2207.09258 (2022) - [i20]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 abs/2208.03646 (2022) - [i19]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 abs/2209.03358 (2022) - [i18]Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen:
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. CoRR abs/2209.11904 (2022) - 2021
- [j17]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): 85:1-85:21 (2021) - [c66]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: 835-840 - [c65]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: 1279-1284 - [c64]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: 1-12 - 2020
- [j16]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): 254-271 (2020) - [j15]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): 24:1-24:3 (2020) - [j14]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): 35:1-35:3 (2020) - [j13]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): 2192-2205 (2020) - [j12]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): 23:1-23:23 (2020) - [c63]Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li:
StegoNet: Turn Deep Neural Network into a Stegomalware. ACSAC 2020: 928-938 - [c62]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: 301-306 - [c61]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: 1166-1170 - [c60]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: 1-6 - [c59]Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen:
Stealing Your Data from Compressed Machine Learning Models. DAC 2020: 1-6 - [c58]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: 629-645 - [c57]Qi Liu, Wujie Wen, Yanzhi Wang:
Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. ICCAD 2020: 37:1-37:8 - [c56]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: 59:1-59:9 - [c55]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: 342-351 - [c54]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: 406-416 - [i17]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 abs/2011.02155 (2020) - [i16]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 abs/2012.13801 (2020)
2010 – 2019
- 2019
- [j11]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): 39:1-39:21 (2019) - [j10]Shi Sha, Wujie Wen, Gustavo A. Chaparro-Baquero, Gang Quan:
Thermal-constrained energy efficient real-time scheduling on multi-core platforms. Parallel Comput. 85: 231-242 (2019) - [c53]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: 5369-5376 - [c52]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: 506-511 - [c51]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: 272-281 - [c50]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: 860-868 - [c49]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: 12687-12696 - [c48]Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan:
A Fault-Tolerant Neural Network Architecture. DAC 2019: 55 - [c47]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: 69-80 - [c46]Tao Liu, Wujie Wen:
Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable. ICCAD 2019: 1-5 - [c45]Tao Liu, Wujie Wen:
Deep-evasion: Turn deep neural network into evasive self-contained cyber-physical malware: poster. WiSec 2019: 320-321 - [i15]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 abs/1903.09769 (2019) - [i14]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 abs/1904.08487 (2019) - [i13]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 abs/1906.05922 (2019) - [i12]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 abs/1908.10017 (2019) - 2018
- [j9]Xiaokun Yang, Wujie Wen, Ming Fan:
Improving AES Core Performance via an Advanced ASBUS Protocol. ACM J. Emerg. Technol. Comput. Syst. 14(1): 6:1-6:23 (2018) - [j8]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): 10:1-10:20 (2018) - [j7]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): 1985-1998 (2018) - [j6]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): 2528-2539 (2018) - [c44]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: 568-573 - [c43]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: 721-726 - [c42]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: 18:1-18:6 - [c41]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: 191-207 - [c40]Tao Liu, Wujie Wen, Yier Jin:
SIN2: Stealth infection on neural network - A low-cost agile neural Trojan attack methodology. HOST 2018: 227-230 - [c39]Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu:
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. ICC 2018: 1-6 - [c38]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: 53 - [c37]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD 2018: 71:1-71:8 - [c36]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: 142-147 - [c35]Tao Liu, Zihao Liu, Qi Liu, Wujie Wen:
Enhancing the Robustness of Deep Neural Networks from "Smart" Compression. ISVLSI 2018: 528-532 - [c34]Shimeng Yu, Chenchen Liu, Wujie Wen, Yiran Chen:
Special session on reliability and vulnerability of neuromorphic computing systems. VTS 2018: 1 - [i11]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 abs/1802.00824 (2018) - [i10]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 abs/1802.05193 (2018) - [i9]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 abs/1803.05109 (2018) - [i8]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 abs/1803.05117 (2018) - [i7]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 abs/1803.05391 (2018) - [i6]Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen:
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CoRR abs/1803.05787 (2018) - [i5]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 abs/1803.05788 (2018) - [i4]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 abs/1804.03294 (2018) - [i3]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 abs/1807.11091 (2018) - [i2]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR abs/1809.05165 (2018) - [i1]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 abs/1812.07106 (2018) - 2017
- [j5]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): 786-798 (2017) - [j4]Mengjie Mao, Wujie Wen, Yaojun Zhang, Yiran Chen, Hai Li:
An Energy-Efficient GPGPU Register File Architecture Using Racetrack Memory. IEEE Trans. Computers 66(9): 1478-1490 (2017) - [j3]Jie Guo, Wujie Wen, Jingtong Hu, Danghui Wang, Hai Helen Li, Yiran Chen:
FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(7): 1167-1180 (2017) - [c33]Xiaokun Yang, Wujie Wen:
Design of a pre-scheduled data bus for advanced encryption standard encrypted system-on-chips. ASP-DAC 2017: 506-511 - [c32]Zihao Liu, Wujie Wen, Lei Jiang, Yier Jin, Gang Quan:
A statistical STT-RAM retention model for fast memory subsystem designs. ASP-DAC 2017: 720-725 - [c31]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. ASP-DAC 2017: 788-793 - [c30]Shi Sha, Wujie Wen, Shaolei Ren, Gang Quan:
A Thermal-Balanced Variable-Sized-Bin-Packing Approach for Energy Efficient Multi-Core Real-Time Scheduling. ACM Great Lakes Symposium on VLSI 2017: 257-262 - [c29]Lei Jiang, Sparsh Mittal, Wujie Wen:
Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories. ACM Great Lakes Symposium on VLSI 2017: 275-280 - [c28]Gustavo A. Chaparro-Baquero, Shi Sha, Soamar Homsi, Wujie Wen, Gang Quan:
Thermal-aware joint CPU and memory scheduling for hard real-time tasks on multicore 3D platforms. IGSC 2017: 1-8 - [c27]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. ICCAD 2017: 450-457 - [c26]Lei Jiang, Minje Kim, Wujie Wen, Danghui Wang:
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. ISLPED 2017: 1-6 - [c25]Tao Liu, Wujie Wen:
A fast and ultra low power time-based spiking neuromorphic architecture for embedded applications. ISQED 2017: 19-22 - [c24]Gustavo A. Chaparro-Baquero, Shi Sha, Soamar Homsi, Wujie Wen, Gang Quan:
Processor/memory Co-Scheduling using periodic resource server for real-time systems under peak temperature constraints. ISQED 2017: 360-366 - 2016
- [c23]Lei Jiang, Wujie Wen, Danghui Wang, Lide Duan:
Improving read performance of STT-MRAM based main memories through Smash Read and Flexible Read. ASP-DAC 2016: 31-36 - [c22]Xian Zhang, Guangyu Sun, Yaojun Zhang, Yiran Chen, Hai Li, Wujie Wen, Jia Di:
A novel PUF based on cell error rate distribution of STT-RAM. ASP-DAC 2016: 342-347 - [c21]Mengjie Mao, Wujie Wen, Xiaoxiao Liu, Jingtong Hu, Danghui Wang, Yiran Chen, Hai Li:
TEMP: thread batch enabled memory partitioning for GPU. DAC 2016: 65:1-65:6 - [c20]Enes Eken, Linghao Song, Ismail Bayram, Cong Xu, Wujie Wen, Yuan Xie, Yiran Chen:
NVSim-VXs: an improved NVSim for variation aware STT-RAM simulation. DAC 2016: 70:1-70:6 - [c19]Tianyi Wang, Qiushi Han, Shi Sha, Wujie Wen, Gang Quan, Meikang Qiu:
On harmonic fixed-priority scheduling of periodic real-time tasks with constrained deadlines. DAC 2016: 131:1-131:6 - [c18]Xunchao Chen, Navid Khoshavi, Jian Zhou, Dan Huang, Ronald F. DeMara, Jun Wang, Wujie Wen, Yiran Chen:
AOS: adaptive overwrite scheme for energy-efficient MLC STT-RAM cache. DAC 2016: 170:1-170:6 - [c17]Xue Wang, Mengjie Mao, Enes Eken, Wujie Wen, Hai Li, Yiran Chen:
Sliding Basket: An adaptive ECC scheme for runtime write failure suppression of STT-RAM cache. DATE 2016: 762-767 - [c16]Wujie Wen, Mengjie Mao, Hai Li, Yiran Chen, Yukui Pei, Ning Ge:
A holistic tri-region MLC STT-RAM design with combined performance, energy, and reliability optimizations. DATE 2016: 1285-1290 - [c15]Sicheng Li, Yandan Wang, Wujie Wen, Yu Wang, Yiran Chen, Hai Li:
A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel. ICCAD 2016: 14 - [c14]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Wujie Wen, Mark Barnell, Qing Wu, Jeyavijayan Rajendran:
Security of neuromorphic computing: thwarting learning attacks using memristor's obsolescence effect. ICCAD 2016: 97 - [c13]Shi Sha, Wujie Wen, Ming Fan, Shaolei Ren, Gang Quan:
Performance Maximization via Frequency Oscillation on Temperature Constrained Multi-core Processors. ICPP 2016: 526-535 - [c12]Kaveh Shamsi, Wujie Wen, Yier Jin:
Hardware Security Challenges Beyond CMOS: Attacks and Remedies. ISVLSI 2016: 200-205 - [c11]Bohua Li, Yukui Pei, Wujie Wen:
Efficient Low-Density Parity-Check (LDPC) Code Decoding for Combating Asymmetric Errors in STT-RAM. ISVLSI 2016: 266-271 - 2015
- [c10]Bonan Yan, Yaojun Zhang, Enes Eken, Wujie Wen, Weisheng Zhao, Yiran Chen:
Recent progresses of STT memory design and applications. ASICON 2015: 1-4 - [c9]Jie Guo, Wujie Wen, Jingtong Hu, Danghui Wang, Hai Li, Yiran Chen:
FlexLevel: a novel NAND flash storage system design for LDPC latency reduction. DAC 2015: 194:1-194:6 - 2014
- [j2]Wujie Wen, Yaojun Zhang, Yiran Chen, Yu Wang, Yuan Xie:
PS3-RAM: A Fast Portable and Scalable Statistical STT-RAM Reliability/Energy Analysis Method. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(11): 1644-1656 (2014) - [c8]Wujie Wen, Yaojun Zhang, Mengjie Mao, Yiran Chen:
State-Restrict MLC STT-RAM Designs for High-Reliable High-Performance Memory System. DAC 2014: 35:1-35:6 - [c7]Enes Eken, Yaojun Zhang, Wujie Wen, Rajiv V. Joshi, Hai Li, Yiran Chen:
A New Field-assisted Access Scheme of STT-RAM with Self-reference Capability. DAC 2014: 63:1-63:6 - [c6]Mengjie Mao, Wujie Wen, Yaojun Zhang, Yiran Chen, Hai (Helen) Li:
Exploration of GPGPU Register File Architecture Using Domain-wall-shift-write based Racetrack Memory. DAC 2014: 196:1-196:6 - 2013
- [j1]Yiran Chen, Weng-Fai Wong, Hai Li, Cheng-Kok Koh, Yaojun Zhang, Wujie Wen:
On-chip caches built on multilevel spin-transfer torque RAM cells and its optimizations. ACM J. Emerg. Technol. Comput. Syst. 9(2): 16:1-16:22 (2013) - [c5]Wujie Wen, Yaojun Zhang, Lu Zhang, Yiran Chen:
Loadsa: A yield-driven top-down design method for STT-RAM array. ASP-DAC 2013: 291-296 - [c4]Jie Guo, Wujie Wen, Yaojun Zhang, Sicheng Li, Hai Li, Yiran Chen:
DA-RAID-5: a disturb aware data protection technique for NAND flash storage systems. DATE 2013: 380-385 - [c3]Wujie Wen, Mengjie Mao, Xiaochun Zhu, Seung-Hyuk Kang, Danghui Wang, Yiran Chen:
CD-ECC: content-dependent error correction codes for combating asymmetric nonvolatile memory operation errors. ICCAD 2013: 1-8 - 2012
- [c2]Wujie Wen, Yaojun Zhang, Yiran Chen, Yu Wang, Yuan Xie:
PS3-RAM: a fast portable and scalable statistical STT-RAM reliability analysis method. DAC 2012: 1191-1196 - [c1]Yaojun Zhang, Lu Zhang, Wujie Wen, Guangyu Sun, Yiran Chen:
Multi-level cell STT-RAM: Is it realistic or just a dream? ICCAD 2012: 526-532
Coauthor Index
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