Zhezhi He

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 106

Top Venues

CoRR

DAC

ACM Great Lakes Symposium on VLSI

DATE

Publications

Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation. CoRR (2024)
Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
CLLMs: Consistency Large Language Models. CoRR (2024)
Xingyue Qian, Zhezhi He, Weikang Qian
An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation. DATE (2024)
Li Yang, Zhezhi He, Yu Cao, Deliang Fan
A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. CoRR (2024)
Chenyu Tang, Chen Nie, Weikang Qian, Zhezhi He
PIMLC: Logic Compiler for Bit-Serial Based PIM. DATE (2024)
Chen Nie, Xianjue Cai, Chenyang Lv, Chen Huang, Weikang Qian, Zhezhi He
XMG-GPPIC: Efficient and Robust General-Purpose Processing-in-Cache with XOR-Majority-Graph. ACM Great Lakes Symposium on VLSI (2023)
Chenyang Lv, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, Zhezhi He
GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis. ICCD (2023)
Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang
PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. DATE (2023)
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD (2023)
Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He
GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. ICCD (2023)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Model Extraction Attacks on Split Federated Learning. CoRR (2023)
Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang
DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang
Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing. DATE (2022)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC (2022)
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. DAC (2022)
Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, Zhezhi He
Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System. ISQED (2022)
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. DAC (2022)
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR (2022)
Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. DATE (2022)
Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang
HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine. ASP-DAC (2022)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR (2022)
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. FPGA (2022)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR (2021)
Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR (2021)
Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He
Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support. ACM Great Lakes Symposium on VLSI (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV (2021)
Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. 14 (4) (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE (2021)
Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang
Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. MobiCom (2021)
Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication. ACM Great Lakes Symposium on VLSI (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator. ICCAD (2021)
Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS (2021)
Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD (2021)
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST (2021)
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR (2021)
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS (2021)
Tianhong Shen, Yanan Sun, Weifeng He, Zhi Li, Weiyi Liu, Zhezhi He, Li Jiang
A Ternary Memristive Logic-in-Memory Design for Fast Data Scan. ICTA (2021)
Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, Jiachen Jiang, Weikang Qian, Rui Yang, Zhezhi He, Li Jiang
Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (12) (2021)
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. CoRR (2021)
Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC (2021)
Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR (2020)
Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. 16 (2) (2020)
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR (2020)
Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC (2020)
Li Yang, Zhezhi He, Yu Cao, Deliang Fan
A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR (2020)
Li Yang, Zhezhi He, Yu Cao, Deliang Fan
Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC (2020)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR (2020)
Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. 36 (6) (2020)
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI (2020)
Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan
Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC (2020)
Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan
MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (5) (2020)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR (2020)
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR (2020)
Li Yang, Zhezhi He, Deliang Fan
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI (2020)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR (2019)
Li Yang, Zhezhi He, Deliang Fan
Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI (2019)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR (2019)
Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy
Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. DRC (2019)
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
Non-structured DNN Weight Pruning Considered Harmful. CoRR (2019)
Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan
Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC (2019)
Shaahin Angizi, Zhezhi He, Deliang Fan
ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC (2019)
Zhezhi He, Adnan Siraj Rakin, Deliang Fan
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR (2019)
Zhezhi He, Deliang Fan
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. CVPR (2019)
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR (2019)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV (2019)
Zhezhi He, Boqing Gong, Deliang Fan
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV (2019)
Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI (2019)
Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan
Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (9) (2018)
Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI (2018)
Zhezhi He, Deliang Fan
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. CoRR (2018)
Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC (2018)
Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan
Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR (2018)
Shaahin Angizi, Zhezhi He, Deliang Fan
DIMA: a depthwise CNN in-memory accelerator. ICCAD (2018)
Li Yang, Zhezhi He, Deliang Fan
A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED (2018)
Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR (2018)
Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD (2018)
Zhezhi He, Shaahin Angizi, Deliang Fan
Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI (2018)
Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC (2018)
Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI (2018)
Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC (2018)
Zhezhi He, Boqing Gong, Deliang Fan
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR (2018)
Shaahin Angizi, Zhezhi He, Deliang Fan
PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC (2018)
Zhezhi He, Deliang Fan
A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. DATE (2017)
Shaahin Angizi, Zhezhi He, Deliang Fan
Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI (2017)
Zhezhi He, Deliang Fan
Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. IEEE Trans. Emerg. Top. Comput. 5 (2) (2017)
Deliang Fan, Shaahin Angizi, Zhezhi He
In-Memory Computing with Spintronic Devices. ISVLSI (2017)
Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan
Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED (2017)
Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan
High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH (2017)
Zhezhi He, Shaahin Angizi, Deliang Fan
Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR (2017)
Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI (2017)
Zhezhi He, Deliang Fan
Developing All-Skyrmion Spiking Neural Network. CoRR (2017)
Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan
Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS (2017)

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Publication Activity (10 Years)

Top Topics

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Zhezhi He