Publications

CCF-A 40 papers
CCF-B 24 papers
CCF-C 17 papers
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Remark: * indicates student I (co-)supervised.

Remark: = indicates equal contribution.

Remark: ✉ indicates correspondence.

Remark: CCF-A/B/C tags indicate ranked venues in the CCF recommended list.

2026

  1. ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing CCF-A Kang You*, Chen Nie*, Jun Yan Lee*, Ziling Wei*, Cheng Zou*, Zekai Xu*, Honglan Jiang, Yu Feng, and Zhezhi He✉ In Proceedings of the 53rd Annual International Symposium on Computer Architecture (ISCA-26)
  2. NasZip: Software and Hardware Co-design to Accelerate Approximate Nearest Neighbor Search with DIMM-based Near-Data Processing CCF-A Cheng Zou*=, Shuo Yang*=, Chen Nie*, Yu Zou, Yu He, Chao Jiang, Limin Xiao, Weifeng Zhang, and Zhezhi He✉ In Proceedings of the 53rd Annual International Symposium on Computer Architecture (ISCA-26)
  3. Seele: A unified acceleration framework for real-time gaussian splatting CCF-A Xiaotong Huang, He Zhu, Zihan Liu, Weikai Lin, Xiaohong Liu, Zhezhi He, Jingwen Leng, Minyi Guo, and Yu Feng In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-26)
  4. Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity Jing Yan, Kang You, Zhezhi He✉, and Yaoyu Zhang✉ arXiv:2603.15987
  5. Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing CCF-A Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, and others In IEEE International Symposium on High-Performance Computer Architecture (HPCA-26)

2025

  1. APU: Accelerate Point Cloud Neural Networks via Unified Processing-in-SRAM Architecture CCF-A Chen Nie*, Boning Zhang*, Kang You*, Yu Feng, Yu He, Chao Jiang, Limin Xiao, Weifeng Zhang, and Zhezhi He✉ IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD25)
  2. PolymorPIC: Embedding Polymorphic Processing-in-Cache in RISC-V based Processor for Full-stack Efficient AI Inference CCF-A Cheng Zou*, Ziling Wei*, Jun Yan Lee*, Chen Nie*, Kang You*, and Zhezhi He✉ In 58th IEEE/ACM International Symposium on Microarchitecture (MICRO-58)
  3. VeriRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning CCF-B Fu Teng*, Miao Pan, Xuhong Zhang✉, Zhezhi He✉, Yiyao Yang*, Xinyi Chai, Mengnan Qi, Liqiang Lu, and Jianwei Yin In The 2025 IEEE/ACM International Conference on Computer-Aided Design (ICCAD’25)
  4. MASIM: An Energy-Efficient Multi-Array Scheduler for SIMD Logic-in-Memory Architectures CCF-B Xingyue Qian, Chen Nie*, Zhezhi He✉, and Weikang Qian✉ In The 2025 IEEE/ACM International Conference on Computer-Aided Design (ICCAD’25)
  5. ✭Best Student Paper Award Nomination✭ High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling Xingyue Qian, Chenyang Lv*, Zhezhi He, and Weikang Qian In 34th International Workshop on Logic & Synthesis (IWLS’25)
  6. Finetuned Decision Transformer with Tree Search for Logic Synthesis Optimization Chenyang Lv*, Chenyu Xu, Zhezhi He, and Chunyang Feng In International Symposium of EDA (ISEDA’25)
  7. VISTREAM: Improving Computation Efficiency of Visual Perception Streaming via Law-of-Charge-Conservation Inspired Spiking Neural Network CCF-A Kang You*=, Ziling Wei*=, Jing Yan, Boning Zhang*, Qinghai Guo, Yaoyu Zhang, and Zhezhi He✉ In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25)
  8. StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination CCF-A Yu Feng, zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Mingyi Guo, Zhezhi He, Jieru Zhao, and Yuhao Zhu In Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’25)
  9. ✭Best Paper Nomination✭ PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds CCF-A Chen Nie*, Chao Jiang, Limin Xiao, Weifeng Zhang, and Zhezhi He✉ In Proceedings of the 62th ACM/IEEE Design Automation Conference (DAC’25)
  10. BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration CCF-A Junyan Lee*=, Chen Nie*=, Kang You*, Yueyang Jia, Rui Yang, and Zhezhi He✉ In Proceedings of the 62th ACM/IEEE Design Automation Conference (DAC’25)
  11. HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers CCF-B Yiyao Yang*=, Fu Teng=, Pengju Liu*=, Mengnan Qi, Chengyang Lv*, Ji Li, Xuhong Zhang, and Zhezhi He✉ In Proceedings of Design, Automation and Test in Europe Conference (DATE’25)

2024

  1. A Recursive Partition-Based In-Memory SIMD Computation Scheduler for Memory Footprint Minimization CCF-A Xingyue Qian, Chengyang Lv*, Zhezhi He✉, and Weikang Qian IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD’24)
  2. BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation CCF-B Zekai Xu*, Kang You*, Xiang Wang, Qinghai Guo, and Zhezhi He✉ In Proceedings of The 18th European Conference on Computer Vision (ECCV) 2024
  3. Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion CCF-C Jiahao Su*, Kang You*, Zekai Xu*, and Zhezhi He✉ In Proceedings of 33rd International Conference on Artificial Neural Networks (ICANN)
  4. SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN CCF-A Kang You*=, Zekaiu Xu*=, Chen Nie*, Zhijie Deng, Qinghai Guo, Xiang Wang, and Zhezhi He✉ In Proceedings of Forty-First International conference on Machine Learning (ICML)
  5. CLLMs: Consistency Large Language Models CCF-A Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, and Hao Zhang In Proceedings of Forty-First International conference on Machine Learning (ICML)
  6. ERL-LS: Accelerating the Optimization of Logic Synthesis with Evolutionary Reinforcement Learning Chenyang Lv*, Boning Zhang*, Weikang Qian, and Zhezhi He✉ In Proceedings of International Symposium of Electronic Design Automation (ISEDA)
  7. An Efficient Logic Operation Scheduler For Minimizing Memory Footprint Of In-memory SIMD Computation CCF-B Xingyue Qian, Zhezhi He✉, and Weikang Qian✉ In Proceedings of Design, Automation and Test in Europe Conference (DATE)
  8. PIMLC: Logic Compiler for Bit-serial Based PIM CCF-B Chenyu Tang*, Chen Nie*, Weikang Qian, and Zhezhi He✉ In Proceedings of Design, Automation and Test in Europe Conference (DATE)

2023

  1. Monolithic 3D integration of 2D transistors and vertical RRAMs in 1T-4R structure for high-density memory Maosong Xie=, Yueyang Ji=, Chen Nie*, Zuheng Liu, Alvin Tang, Shiquan Fan, Xiaoyao Liang, Li Jiang, Zhezhi He✉, and Rui Yang✉ Nature Communications
  2. GPT-LS: Generative Pre-Trained Transformer with Off-line Reinforcement Learning for Logic Synthesis CCF-B Chenyang Lv*, Ziling Wei*, Weikang Qian, Junjie Ye, Chang Feng, and Zhezhi He✉ In Proceedings of 41st IEEE International Conference on Computer Design (ICCD)
  3. ✭Best Paper Nomination✭ GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory CCF-B Chen Nie*, Guoyang Chen, Weifeng Zhang, and Zhezhi He✉ In Proceedings of 41st IEEE International Conference on Computer Design (ICCD)
  4. HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model CCF-B Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, and Xiaoyao Liang In Proceedings of 41st IEEE International Conference on Computer Design (ICCD)
  5. VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations CCF-A Chen Nie*, Chenyu Tang*, Jie Lin, Huan Hu, Chenyang Lv*, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, and Zhezhi He✉ IEEE Transactions on Computers (TC)
  6. XMG-GPPIC: Efficient and Robust General-Purpose Processing-in-Cache with XOR-Majority-Graph CCF-C Chen Nie*, Xianjue Cai, Chenyang Lv*, Chen Huang, Weikang Qian✉, and Zhezhi He✉ In Proceedings of the 2023 on Great Lakes Symposium on VLSI (GLSVLSI’2023)
  7. PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy CCF-B Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, and Li Jiang In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE’2023)
  8. Model Extraction Attacks on Split Federated Learning Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, and Chaitali Chakrabarti arXiv preprint arXiv:2303.08581

2022

  1. N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores CCF-B Yu Gong*=, Zhihan Xu*=, Zhezhi He✉, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, and Li Jiang✉ In Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA’22)
  2. HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine CCF-C Qidong Tang*, Zhezhi He✉, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, and Li Jiang✉ In Proceedings of 27th Asia and South Pacific Design Automation Conference (ASP-DAC’22)
  3. ✭Best Paper Award✭ Self-Terminating Writing of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing CCF-B Zongwu Wang*, Zhezhi He✉, Rui Yang, Shiquan Fan, Jie Lin, Yueyang Jia, Chenxi Yuan, Qidong Tang, and Li Jiang✉ In Proceedings of IEEE Design, Automation and Test in Europe Conference (DATE’22)
  4. ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning CCF-A Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, and Chaitali Chakrabarti In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’22)
  5. DTATrans: Leveraging Dynamic Token-based Quantization with Accuracy Compensation Mechanism for Efficient Transformer Architecture CCF-A Tao Yang, Hui Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, and Li Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD’22)
  6. SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator CCF-A Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, and Li Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD’22)
  7. Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, and Zhezhi He In 2022 23rd International Symposium on Quality Electronic Design (ISQED’22)
  8. SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture CCF-A Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, and Li Jiang In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22)
  9. EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks CCF-A Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, and Li Jiang In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22)
  10. PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration CCF-A Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, and Li Jiang In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22)
  11. DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture CCF-B Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, and Li Jiang In (DATE-22) 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE’22)

2021

  1. SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network CCF-B Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, and Li Jiang In IEEE International Conference on Computer Design (ICCD’21)
  2. Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator CCF-B Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, and Li Jiang In International Conference On Computer Aided Design (ICCAD’21)
  3. AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs CCF-B Dongyue Li*, Tao Yang, Lun Du, Zhezhi He✉, and Li Jiang✉ In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM’21)
  4. NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, and Chaitali Chakrabarti In IEEE International Symposium on Hardware Oriented Security and Trust (HOST’21)
  5. Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point CCF-A Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, and Li Jiang In International Conference on Computer Vision (ICCV’21)
  6. MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning CCF-C Sen Lin, Li Yang, Zhezhi He, Deliang Fan, and Junshan Zhang In IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS’21)
  7. Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support CCF-C Chen Nie*, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, and Zhezhi He✉ In Proceedings of Great Lakes Symposium on VLSI 2021 (GLSVLSI’21)
  8. Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication CCF-C Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, and Li Jiang In Proceedings of the 2021 on Great Lakes Symposium on VLSI (GLSVLSI’21)
  9. ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator CCF-B Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, and Li Jiang In 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
  10. PIMGCN: A ReRAM-based PIM Design for Graph Convolutional Network Acceleration CCF-A Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, and Li Jiang In Proceeding of Design Automation Conference (DAC’21)
  11. Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing CCF-A Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, jiachen Jiang, weikang Qian, Rui Yang, Zhezhi He, and Li Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
  12. Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading CCF-A Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, and Yanyong Zhang In 27th Annual International Conference on Mobile Computing and Networking (MobiCom’21)
  13. RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery CCF-B Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, and Chaitali Chakrabarti In Design, Automation and Test in Europe Conference (DATE’21)
  14. KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning CCF-A Li Yang, Zhezhi He, Junshan Zhang, and Deliang Fan Conference on Computer Vision and Pattern Recognition (CVPR’21)
  15. T-BFA: Targeted Bit-Flip Adversarial Weight Attack CCF-A Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, and Deliang Fan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  16. Non-Structured DNN Weight Pruning–Is It Beneficial in Any Platform? CCF-B Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, and others IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

2020

  1. Processing-In-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency Li Yang, Zhezhi He, Shaahin Angizi, and Deliang Fan In 33rd IEEE International System-on-Chip Conference (SOCC)
  2. A Progressive Sub-Network Searching Framework for Dynamic Inference Li Yang, Zhezhi He, Yu Cao, and Deliang Fan arXiv preprint arXiv:2009.05681
  3. 2D MoS2 Based Threshold Switching Memristor For Artificial Neuron Durjoy Dev, Adithi Krishnaprasad, Mashiyat Shawkat, Zhezhi He, Sonali Das, Hee-Suk Chung, Deliang Fan, Yeonwoong Jung, and Tania Roy IEEE Electron Device Letters (EDL)
  4. Defending and Harnessing the Bit-Flip based Adversarial Weight Attack CCF-A Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, and Deliang Fan Conference on Computer Vision and Pattern Recognition (CVPR’20)
  5. TBT: Targeted Neural Network Attack with Bit Trojan CCF-A Adnan Siraj Rakin, Zhezhi He, and Deliang Fan Conference on Computer Vision and Pattern Recognition (CVPR’20)
  6. Non-uniform DNN Structured Subnets Sampling for Dynamic Inference CCF-A Li Yang, Zhezhi He, and Deliang Fan 57th Design Automation Conference (DAC’20)
  7. Defending Bit-Flip Attack through DNN Weight Reconstruction CCF-A Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, and Chaitali Chakrabarti 57th Design Automation Conference (DAC)
  8. Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks CCF-A Li Yang, Zhezhi He, and Deliang Fan Thirty-third AAAI Conference on Artificial Intelligence (AAAI’20)
  9. Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution CCF-C Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, and Deliang Fan ACM Journal on Emerging Technologies in Computing Systems (JETC)
  10. Hybrid Spin-CMOS Polymorphic Logic Gate With Application in In-Memory Computing Shaahin Angizi, Zhezhi He, An Chen, and Deliang Fan IEEE Transactions on Magnetics

2019

  1. Network-based multi-task learning models for biomarker selection and cancer outcome prediction CCF-A Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, and Wei Zhang Oxford academic Bioinformatics
  2. Artificial Neuron using Ag/2D-MoS 2/Au Threshold Switching Memristor Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, and Tania Roy In Device Research Conference (DRC)
  3. Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search CCF-A Zhezhi He=, Adnan Siraj Rakin=, and Deliang Fan In International Conference on Computer Vision (ICCV’19)
  4. Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? Shaahin Angizi, Zhezhi He, Dayane Reis, Sharon Xiaobo Hu, Wilman Tsai, Shy Jay Lin, and Deliang Fan In 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  5. Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack CCF-A Zhezhi He=, Adnan Siraj Rakin=, and Deliang Fan Conference on Computer Vision and Pattern (CVPR)
  6. Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation CCF-A Zhezhi He, and Deliang Fan Conference on Computer Vision and Pattern Recognition (CVPR)
  7. Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping CCF-A Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, and Deliang Fan 56-th Design Automation Conference (DAC)
  8. Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He, Boqing Gong, and Deliang Fan IEEE Winter Conference on Applications of Computer Vision (WACV)
  9. Binarized Depthwise Separable Neural Network for Object Tracking in FPGA CCF-C Li Yang, Zhezhi He, and Deliang Fan Great Lakes Symposium on VLSI (GLSVLSI)
  10. MRIMA: An MRAM-based In-Memory Accelerator CCF-A Shaahin Angizi, Zhezhi He, Amro Awad, and Deliang Fan IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  11. ParaPIM: A Parallel Processing-In-Memory Accelerator for Binary-Weight Deep Neural Networks CCF-C Shaahin Angizi, Zhezhi He, and Deliang Fan In Proceedings of the 24th Asia and South Pacific Design Automation Conference (ASP-DAC)

2018

  1. DIMA: A Depthwise CNN In-Memory Accelerator CCF-B Shaahin Angizi, Zhezhi He, and Deliang Fan In 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
  2. PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks CCF-B Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, and Deliang Fan In 2018 IEEE 36th International Conference on Computer Design (ICCD)
  3. A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference CCF-C Li Yang, Zhezhi He, and Deliang Fan In Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED)
  4. Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM Zhezhi He, Shaahin Angizi, and Deliang Fan In 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  5. ✭Best Paper Award✭ BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, and Deliang Fan In 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  6. HielM: Highly Flexible In-Memory Computing using STT MRAM CCF-C Farhana Parveen, Zhezhi He, Shaahin Angizi, and Deliang Fan In 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)
  7. IMCE: Energy-Efficient Bit-wise In-memory Convolution Engine for Deep Neural Network CCF-C Shaahin Angizi, Zhezhi He, Farhana Parveen, and Deliang Fan In Proceedings of the 23rd Asia and South Pacific Design Automation Conference
  8. IMCS2: Novel Device-to-Architecture Co-Design for Low-Power In-Memory Computing Platform Using Coterminous Spin Switch Farhana Parveen, Shaahin Angizi, Zhezhi He, and Deliang Fan IEEE Transactions on Magnetics
  9. Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks CCF-C Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F DeMara, and Deliang Fan In Proceedings of the 2018 on Great Lakes Symposium on VLSI
  10. Exploring A SOT-MRAM based In-Memory Computing for Data Processing Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, and Deliang Fan IEEE Transactions on Multi-Scale Computing Systems
  11. CMP-PIM: An Energy-Efficient Comparator-based Processing-in-Memory Neural Network Accelerator CCF-A Zhezhi He=, Shaahin Angizi=, Adnan Siraj Rakin, and Deliang Fan In Proceedings of the 55th Annual Design Automation Conference (DAC)
  12. PIMA-logic: A Novel Processing-in-Memory Architecture for Highly Flexible and Energy-Efficient Logic Computation CCF-A Shaahin Angizi, Zhezhi He, and Deliang Fan In Proceedings of the 55th Annual Design Automation Conference (DAC)
  13. Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption CCF-A Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, and Deliang Fan IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ICCAD)

2017

  1. Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices Zhezhi He, and Deliang Fan IEEE Transactions on Emerging Topics in Computing (TETC)
  2. Current-induced Dynamics of Multiple Skyrmions with Domain-wall Pair and Skyrmion-based Majority Gate Design Zhezhi He, Shaahin Angizi, and Deliang Fan IEEE Magnetics Letters
  3. Composite Spintronic Accuracy-configurable Adder for Low Power Digital Signal Processing Shaahin Angizi, Zhezhi He, Ronald F DeMara, and Deliang Fan In 2017 18th International Symposium on Quality Electronic Design (ISQED)
  4. A Tunable Magnetic Skyrmion Neuron Cluster for Energy Efficient Artificial Neural Network CCF-B Zhezhi He, and Deliang Fan In Design, Automation & Test in Europe Conference & Exhibition (DATE)
  5. Developing All-Skyrmion Spiking Neural Network Zhezhi He, and Deliang Fan Neuromorphic Computing Symposium (NCS)
  6. Leveraging Dual-mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption CCF-C Zhezhi He, Shaahin Angizi, Farhana Parveen, and Deliang Fan In Proceedings of the on Great Lakes Symposium on VLSI 2017 (GLSVLSI)
  7. Energy Efficient In-memory Computing Platform based on 4-terminal Spin Hall Effect-driven Domain Wall Motion Devices CCF-C Shaahin Angizi, Zhezhi He, and Deliang Fan In Proceedings of the on Great Lakes Symposium on VLSI (GLSVLSI)
  8. 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, and Deliang Fan In 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  9. ✭Best Paper Award✭ Hybrid Polymorphic Logic Gate with 5-terminal Magnetic Domain Wall Motion Device Farhana Parveen, Zhezhi He, Shaahin Angizi, and Deliang Fan In IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  10. In-memory Computing with Spintronic Devices Deliang Fan, Shaahin Angizi, and Zhezhi He In IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
  11. Low Power In-memory Computing based on Dual-mode SOT-MRAM CCF-C Farhana Parveen, Shaahin Angizi, Zhezhi He, and Deliang Fan In 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
  12. Hybrid Polymorphic Logic Gate using 6 Terminal Magnetic Domain Wall Motion Device CCF-B Farhana Parveen, Shaahin Angizi, Zhezhi He, and Deliang Fan In IEEE International Symposium on Circuits and Systems (ISCAS)
  13. Leveraging Spintronic Devices for Ultra-low Power In-memory Computing: Logic and Neural Network Deliang Fan, Zhezhi He, and Shaahin Angizi In IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)
  14. High Performance and Energy-efficient In-memory Computing Architecture Based on SOT-MRAM Zhezhi He, Shaahin Angizi, Farhana Parveen, and Deliang Fan In IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)
  15. Exploring STT-MRAM based In-memory Computing Paradigm with Application of Image Edge Extraction CCF-B Zhezhi He, Shaahin Angizi, and Deliang Fan In 2017 IEEE International Conference on Computer Design (ICCD)

2016

  1. A Low Power Current-mode Flash ADC with Spin Hall Effect Based Multi-threshold Comparator CCF-C Zhezhi He, and Deliang Fan In Proceedings of the 2016 International Symposium on Low Power Electronics and Design (ISLPED)