Zhezhi He

According to our database, Zhezhi He authored at least 100 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations.

Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He

IEEE Trans. Computers, October, 2024

A Progressive Subnetwork Searching Framework for Dynamic Inference.

Li Yang, Zhezhi He, Yu Cao, Deliang Fan

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Evolving Virtual World with Delta-Engine.

Hongqiu Wu, Zekai Xu, Tianyang Xu, Shize Wei, Yan Wang, Jiale Hong, Weiqi Wu, Hai Zhao, Min Zhang, Zhezhi He

CoRR, 2024

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN.

Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLLMs: Consistency Large Language Models.

Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion.

Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Watt: A Write-Optimized RRAM-Based Accelerator for Attention.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation.

Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He

Proceedings of the Computer Vision - ECCV 2024, 2024

PIMLC: Logic Compiler for Bit-Serial Based PIM.

Chenyu Tang, Chen Nie, Weikang Qian, Zhezhi He

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation.

Xingyue Qian, Zhezhi He, Weikang Qian

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture.

Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.

Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Model Extraction Attacks on Split Federated Learning.

Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

CoRR, 2023

HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model.

Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory.

Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis.

Chenyang Lv, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, Zhezhi He

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

XMG-GPPIC: Efficient and Robust General-Purpose Processing-in-Cache with XOR-Majority-Graph.

Chen Nie, Xianjue Cai, Chenyang Lv, Chen Huang, Weikang Qian, Zhezhi He

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy.

Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?

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

IEEE Trans. Neural Networks Learn. Syst., 2022

T-BFA: Targeted Bit-Flip Adversarial Weight Attack.

Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction.

Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

CoRR, 2022

Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.

Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, Zhezhi He

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores.

Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.

Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing.

Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.

Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning.

Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.

Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization.

Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang

ACM Trans. Reconfigurable Technol. Syst., 2021

Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing.

Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, Jiachen Jiang, Weikang Qian, Rui Yang, Zhezhi He, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.

Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

CoRR, 2021

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading.

Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning.

Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator.

Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A Ternary Memristive Logic-in-Memory Design for Fast Data Scan.

Tianhong Shen, Yanan Sun, Weifeng He, Zhi Li, Weiyi Liu, Zhezhi He, Li Jiang

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.

Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.

Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.

Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing.

Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication.

Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support.

Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery.

Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration.

Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning.

Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs.

Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.

Zhezhi He

PhD thesis, 2020

MRIMA: An MRAM-Based In-Memory Accelerator.

Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution.

Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan

ACM J. Emerg. Technol. Comput. Syst., 2020

A Progressive Sub-Network Searching Framework for Dynamic Inference.

Li Yang, Zhezhi He, Yu Cao, Deliang Fan

CoRR, 2020

Network-based multi-task learning models for biomarker selection and cancer outcome prediction.

Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang

Bioinform., 2020

Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency.

Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.

Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Non-uniform DNN Structured Subnets Sampling for Dynamic Inference.

Li Yang, Zhezhi He, Yu Cao, Deliang Fan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Defending Bit-Flip Attack through DNN Weight Reconstruction.

Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

TBT: Targeted Neural Network Attack With Bit Trojan.

Adnan Siraj Rakin, Zhezhi He, Deliang Fan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack.

Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks.

Li Yang, Zhezhi He, Deliang Fan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Non-structured DNN Weight Pruning Considered Harmful.

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

CoRR, 2019

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.

Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan

CoRR, 2019

Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search.

Adnan Siraj Rakin, Zhezhi He, Deliang Fan

CoRR, 2019

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy.

Zhezhi He, Boqing Gong, Deliang Fan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search.

Adnan Siraj Rakin, Zhezhi He, Deliang Fan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Binarized Depthwise Separable Neural Network for Object Tracking in FPGA.

Li Yang, Zhezhi He, Deliang Fan

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor.

Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy

Proceedings of the Device Research Conference, 2019

Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping.

Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack.

Zhezhi He, Adnan Siraj Rakin, Deliang Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation.

Zhezhi He, Deliang Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks.

Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Exploring a SOT-MRAM Based In-Memory Computing for Data Processing.

Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan

IEEE Trans. Multi Scale Comput. Syst., 2018

Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption.

Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples.

Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan

CoRR, 2018

BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution.

Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM.

Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference.

Li Yang, Zhezhi He, Deliang Fan

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks.

Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the 36th IEEE International Conference on Computer Design, 2018

DIMA: a depthwise CNN in-memory accelerator.

Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the International Conference on Computer-Aided Design, 2018

Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks.

Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator.

Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan

Proceedings of the 55th Annual Design Automation Conference, 2018

PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation.

Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the 55th Annual Design Automation Conference, 2018

HielM: Highly flexible in-memory computing using STT MRAM.

Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network.

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices.

Zhezhi He, Deliang Fan

IEEE Trans. Emerg. Top. Comput., 2017

Developing All-Skyrmion Spiking Neural Network.

Zhezhi He, Deliang Fan

CoRR, 2017

Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design.

Zhezhi He, Shaahin Angizi, Deliang Fan

CoRR, 2017

High performance and energy-efficient in-memory computing architecture based on SOT-MRAM.

Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2017

Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network.

Deliang Fan, Zhezhi He, Shaahin Angizi

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device.

Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

In-Memory Computing with Spintronic Devices.

Deliang Fan, Shaahin Angizi, Zhezhi He

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device.

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Composite spintronic accuracy-configurable adder for low power Digital Signal Processing.

Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan

Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Low power in-memory computing based on dual-mode SOT-MRAM.

Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device.

Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction.

Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption.

Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices.

Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network.

Zhezhi He, Deliang Fan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator.

Zhezhi He, Deliang Fan

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016