Zhezhi He - RankMe

135 papers A* 26A 18B 1C 9Journal 49Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity. CoRR Jing Yan, Kang You, Zhezhi He, Yaoyu Zhang
2026	A*	`conf`	SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. HPCA Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2025	J	`jnl`	A Recursive Partition-Based In-Memory SIMD Computation Scheduler for Memory Footprint Minimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xingyue Qian, Chenyang Lv, Zhezhi He, Weikang Qian
2025	A*	`conf`	BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration. DAC Jun Yan Lee, Chen Nie, Kang You, Yueyang Jia, Rui Yang, Zhezhi He
2025	A	`conf`	HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers. DATE Yiyao Yang, Fu Teng, Pengju Liu, Mengnan Qi, Chenyang Lv, Ji Li, Xuhong Zhang, Zhezhi He
2025	J	`jnl`	HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers. CoRR Yiyao Yang, Fu Teng, Pengju Liu, Mengnan Qi, Chenyang Lv, Ji Li, Xuhong Zhang, Zhezhi He
2025	A	`conf`	MASIM: An Energy-Efficient Multi-Array Scheduler for SIMD Logic-in-Memory Architectures. ICCAD Xingyue Qian, Chen Nie, Zhezhi He, Weikang Qian
2025	A*	`conf`	PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds. DAC Chen Nie, Chao Jiang, Liming Xiao, Weifeng Zhang, Zhezhi He
2025	A*	`conf`	PolymorPIC: Embedding Polymorphic Processing-in-Cache in RISC-V based Processor for Full-stack Efficient AI Inference. MICRO Cheng Zou, Ziling Wei, Jun Yan Lee, Chen Nie, Kang You, Zhezhi He
2025	J	`jnl`	SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splatting. CoRR Xiaotong Huang, He Zhu, Zihan Liu, Weikai Lin, Xiaohong Liu, Zhezhi He, Jingwen Leng, Minyi Guo, Yu Feng
2025	J	`jnl`	Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing. CoRR Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2025	—	`conf`	StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. ASPLOS (2) Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu
2025	J	`jnl`	StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. CoRR Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu
2025	J	`jnl`	VERIRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning. CoRR Fu Teng, Miao Pan, Xuhong Zhang, Zhezhi He, Yiyao Yang, Xinyi Chai, Mengnan Qi, Liqiang Lu, Jianwei Yin
2025	A*	`conf`	VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network. CVPR Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He
2025	A	`conf`	VeriRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning. ICCAD Fu Teng, Miao Pan, Xuhong Zhang, Zhezhi He, Yiyao Yang, Xinyi Chai, Mengnan Qi, Liqiang Lu, Jianwei Yin
2024	—	`conf`	A 428.4mW 6.78Mbps/3.61Mbps Up/Down Data Rate Wireless Chipset with TinyAI Regulation. A-SSCC Yunfang Zhang, Zhijie Lin, Peiyi Zhou, Jie Zhang, Zhezhi He, Hong Zhang, Yongfu Li, Yong Lian, Yang Zhao
2024	J	`jnl`	A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2024	A	`conf`	An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation. DATE Xingyue Qian, Zhezhi He, Weikang Qian
2024	—	`conf`	BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation. ECCV (50) Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation. CoRR Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
2024	A*	`conf`	CLLMs: Consistency Large Language Models. ICML Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	J	`jnl`	CLLMs: Consistency Large Language Models. CoRR Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	C	`conf`	Early: An Importance-Aware Early Firing and Exit for SNN Acceleration. ICCD Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024	J	`jnl`	Evolving Virtual World with Delta-Engine. CoRR Hongqiu Wu, Zekai Xu, Tianyang Xu, Shize Wei, Yan Wang, Jiale Hong, Weiqi Wu, Hai Zhao, Min Zhang, Zhezhi He
2024	J	`jnl`	High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling. CoRR Xingyue Qian, Chenyang Lv, Zhezhi He, Weikang Qian
2024	J	`jnl`	MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation. CoRR Xingyue Qian, Chen Nie, Zhezhi He, Weikang Qian
2024	—	`conf`	Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. ICANN (10) Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He
2024	J	`jnl`	Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. CoRR Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He
2024	A	`conf`	PIMLC: Logic Compiler for Bit-Serial Based PIM. DATE Chenyu Tang, Chen Nie, Weikang Qian, Zhezhi He
2024	A*	`conf`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. ICML Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. CoRR Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations. IEEE Trans. Computers Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
2024	—	`conf`	Watt: A Write-Optimized RRAM-Based Accelerator for Attention. Euro-Par (2) Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang
2023	J	`jnl`	DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang
2023	C	`conf`	GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. ICCD Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He
2023	C	`conf`	GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis. ICCD Chenyang Lv, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, Zhezhi He
2023	C	`conf`	HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023	J	`jnl`	Model Extraction Attacks on Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2023	A	`conf`	PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. DATE Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang
2023	J	`jnl`	SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang
2023	—	`conf`	XMG-GPPIC: Efficient and Robust General-Purpose Processing-in-Cache with XOR-Majority-Graph. ACM Great Lakes Symposium on VLSI Chen Nie, Xianjue Cai, Chenyang Lv, Chen Huang, Weikang Qian, Zhezhi He
2022	J	`jnl`	CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2022	—	`conf`	Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System. ISQED Chen Nie, Zongwu Wang, Qidong Tang, Chenyang Lv, Li Jiang, Zhezhi He
2022	A	`conf`	DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. DATE Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
2022	A*	`conf`	EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. DAC Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022	—	`conf`	HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine. ASP-DAC Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li Jiang
2022	A	`conf`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. FPGA Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 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
2022	A*	`conf`	PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. DAC Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang
2022	A*	`conf`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	J	`jnl`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	A*	`conf`	SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. DAC Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang
2022	A	`conf`	Self-Terminating Write of Multi-Level Cell ReRAM for Efficient Neuromorphic Computing. DATE Zongwu Wang, Zhezhi He, Rui Yang, Shiquan Fan, Jie Lin, Fangxin Liu, Yueyang Jia, Chenxi Yuan, Qidong Tang, Li Jiang
2022	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2021	—	`conf`	A Ternary Memristive Logic-in-Memory Design for Fast Data Scan. ICTA Tianhong Shen, Yanan Sun, Weifeng He, Zhi Li, Weiyi Liu, Zhezhi He, Li Jiang
2021	A	`conf`	AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. CIKM Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
2021	J	`jnl`	BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
2021	A	`conf`	Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator. ICCAD Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Yongbiao Chen, Li Jiang
2021	A*	`conf`	Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. MobiCom Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang
2021	—	`conf`	Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support. ACM Great Lakes Symposium on VLSI Chen Nie, Jie Lin, Huan Hu, Li Jiang, Xiaoyao Liang, Zhezhi He
2021	A*	`conf`	Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
2021	A*	`conf`	KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2021	B	`conf`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2021	J	`jnl`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. CoRR Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2021	—	`conf`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	A*	`conf`	PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. DAC Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang
2021	A	`conf`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	—	`conf`	Re2PIM: A Reconfigurable ReRAM-Based PIM Design for Variable-Sized Vector-Matrix Multiplication. ACM Great Lakes Symposium on VLSI Yilong Zhao, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021	C	`conf`	ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
2021	C	`conf`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. ICCD Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang
2021	J	`jnl`	SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. CoRR Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021	J	`jnl`	Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yanan Sun, Chang Ma, Zhi Li, Yilong Zhao, Jiachen Jiang, Weikang Qian, Rui Yang, Zhezhi He, Li Jiang
2020	J	`jnl`	A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	A*	`conf`	Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2020	A*	`conf`	Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
2020	—	`—`	Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective. Zhezhi He
2020	A*	`conf`	Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI Li Yang, Zhezhi He, Deliang Fan
2020	J	`jnl`	KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2020	J	`jnl`	MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan
2020	J	`jnl`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2020	J	`jnl`	Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
2020	A*	`conf`	Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	—	`conf`	Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan
2020	—	`conf`	Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2020	J	`jnl`	Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2020	A*	`conf`	TBT: Targeted Neural Network Attack With Bit Trojan. CVPR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	—	`conf`	Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan
2019	—	`conf`	Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. DRC Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy
2019	—	`conf`	Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI Li Yang, Zhezhi He, Deliang Fan
2019	A*	`conf`	Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	J	`jnl`	Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	A*	`conf`	Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR 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
2019	A	`conf`	Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV Zhezhi He, Boqing Gong, Deliang Fan
2019	—	`conf`	ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC Shaahin Angizi, Zhezhi He, Deliang Fan
2019	A*	`conf`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2019	J	`jnl`	Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2019	A*	`conf`	Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. CVPR Zhezhi He, Deliang Fan
2019	J	`jnl`	TBT: Targeted Neural Network Attack with Bit Trojan. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2018	A	`conf`	A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED Li Yang, Zhezhi He, Deliang Fan
2018	—	`conf`	Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI Zhezhi He, Shaahin Angizi, Deliang Fan
2018	—	`conf`	BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2018	J	`jnl`	Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan
2018	A*	`conf`	CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2018	A	`conf`	DIMA: a depthwise CNN in-memory accelerator. ICCAD Shaahin Angizi, Zhezhi He, Deliang Fan
2018	J	`jnl`	Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan
2018	J	`jnl`	Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan
2018	—	`conf`	HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
2018	—	`conf`	IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
2018	—	`conf`	Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan
2018	J	`jnl`	Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR Zhezhi He, Boqing Gong, Deliang Fan
2018	C	`conf`	PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan
2018	A*	`conf`	PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC Shaahin Angizi, Zhezhi He, Deliang Fan
2018	J	`jnl`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2018	J	`jnl`	Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. CoRR Zhezhi He, Deliang Fan
2017	A	`conf`	A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. DATE Zhezhi He, Deliang Fan
2017	—	`conf`	Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan
2017	J	`jnl`	Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR Zhezhi He, Shaahin Angizi, Deliang Fan
2017	J	`jnl`	Developing All-Skyrmion Spiking Neural Network. CoRR Zhezhi He, Deliang Fan
2017	—	`conf`	Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Zhezhi He, Deliang Fan
2017	J	`jnl`	Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. IEEE Trans. Emerg. Top. Comput. Zhezhi He, Deliang Fan
2017	C	`conf`	Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. ICCD Zhezhi He, Shaahin Angizi, Deliang Fan
2017	—	`conf`	High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan
2017	—	`conf`	Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
2017	C	`conf`	Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan
2017	—	`conf`	In-Memory Computing with Spintronic Devices. ISVLSI Deliang Fan, Shaahin Angizi, Zhezhi He
2017	—	`conf`	Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan
2017	—	`conf`	Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. MWSCAS Deliang Fan, Zhezhi He, Shaahin Angizi
2017	A	`conf`	Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan
2017	—	`conf`	RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
2016	A	`conf`	A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. ISLPED Zhezhi He, Deliang Fan