| 2026 | HPCA | SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. | Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo |
| 2026 | ISCA | ELSA: An Elastic Snn Inference Architecture for Efficient Neuromorphic Computing. | Kang You, Chen Nie, Lee Jun Yan, Ziling Wei, Cheng Zou, Zekai Xu, Yu Feng, Honglan Jiang, Zhezhi He |
| 2026 | ISCA | NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing. | Cheng Zou, Shuo Yang, Chen Nie, Yu Zou, Yu He, Chao Jiang, Limin Xiao, Weifeng Zhang, Zhezhi He |
| 2025 | ASPLOS | StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. | Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu |
| 2025 | CVPR | VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network. | Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He |
| 2025 | DAC | BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration. | Jun Yan Lee, Chen Nie, Kang You, Yueyang Jia, Rui Yang, Zhezhi He |
| 2025 | DAC | PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds. | Chen Nie, Chao Jiang, Liming Xiao, Weifeng Zhang, Zhezhi He |
| 2025 | DATE | HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers. | Yiyao Yang, Fu Teng, Pengju Liu, Mengnan Qi, Chenyang Lv, Ji Li, Xuhong Zhang, Zhezhi He |
| 2025 | ICCAD | MASIM: An Energy-Efficient Multi-Array Scheduler for SIMD Logic-in-Memory Architectures. | Xingyue Qian, Chen Nie, Zhezhi He, Weikang Qian |
| 2025 | ICCAD | VeriRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning. | Fu Teng, Miao Pan, Xuhong Zhang, Zhezhi He, Yiyao Yang, Xinyi Chai, Mengnan Qi, Liqiang Lu, Jianwei Yin |
| 2025 | MICRO | PolymorPIC: Embedding Polymorphic Processing-in-Cache in RISC-V based Processor for Full-stack Efficient AI Inference. | Cheng Zou, Ziling Wei, Jun Yan Lee, Chen Nie, Kang You, Zhezhi He |
| 2024 | DATE | An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation. | Xingyue Qian, Zhezhi He, Weikang Qian |
| 2024 | DATE | PIMLC: Logic Compiler for Bit-Serial Based PIM. | Chenyu Tang, Chen Nie, Weikang Qian, Zhezhi He |
| 2024 | ECCV | 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 |
| 2024 | EuroPar | Watt: A Write-Optimized RRAM-Based Accelerator for Attention. | Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang |
| 2024 | ICANN | Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. | Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He |
| 2024 | ICCD | Early: An Importance-Aware Early Firing and Exit for SNN Acceleration. | Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2024 | ICML | CLLMs: Consistency Large Language Models. | Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang |
| 2024 | ICML | 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 |
| 2023 | DATE | PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. | Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang |
| 2023 | ICCD | 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 |
| 2023 | ICCD | GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. | Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He |
| 2023 | ICCD | 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 |
| 2022 | ASPDAC | 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 |
| 2022 | CVPR | 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 |
| 2022 | DAC | 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 |
| 2022 | DAC | 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 |
| 2022 | DAC | 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 |
| 2022 | DATE | 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 |
| 2022 | DATE | 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 |
| 2022 | FPGA | 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 |
| 2021 | CIKM | AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. | Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang |
| 2021 | CVPR | KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. | Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan |
| 2021 | DAC | 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 |
| 2021 | DATE | RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. | Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2021 | ICCAD | 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 |
| 2021 | ICCD | 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 |
| 2021 | ICCV | 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 |
| 2021 | ISCAS | ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. | Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang |
| 2021 | MASS | MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. | Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang |
| 2021 | MOBICOM | 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 |
| 2020 | AAAI | Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. | Li Yang, Zhezhi He, Deliang Fan |
| 2020 | CVPR | Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. | Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan |
| 2020 | CVPR | TBT: Targeted Neural Network Attack With Bit Trojan. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2020 | DAC | Defending Bit-Flip Attack through DNN Weight Reconstruction. | Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2020 | DAC | Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. | Li Yang, Zhezhi He, Yu Cao, Deliang Fan |
| 2019 | ASPDAC | ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2019 | CVPR | Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. | Zhezhi He, Deliang Fan |
| 2019 | CVPR | Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. | Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2019 | DAC | 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 |
| 2019 | ICCV | Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2019 | WACV | Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. | Zhezhi He, Boqing Gong, Deliang Fan |
| 2018 | ASPDAC | IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. | Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan |
| 2018 | ASPDAC | HielM: Highly flexible in-memory computing using STT MRAM. | Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan |
| 2018 | DAC | PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | DAC | CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. | Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2018 | ICCAD | DIMA: a depthwise CNN in-memory accelerator. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | ICCD | PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. | Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | ISLPED | A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. | Li Yang, Zhezhi He, Deliang Fan |
| 2017 | DATE | A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. | Zhezhi He, Deliang Fan |
| 2017 | ICCD | Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. | Zhezhi He, Shaahin Angizi, Deliang Fan |
| 2017 | ISCAS | Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. | Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2017 | ISLPED | Low power in-memory computing based on dual-mode SOT-MRAM. | Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2016 | ISLPED | A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. | Zhezhi He, Deliang Fan |