Zhenhua Zhu - RankMe

73 papers A* 15A 15B 1C 1Journal 27Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CD-LLM: A Heterogeneous Multi-FPGA System for Batched Decoding of 70B+ LLMs Using a Compute-Dedicated Architecture. ACM Trans. Reconfigurable Technol. Syst. Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Ke Hong, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2026	A	`conf`	Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering. EuroSys Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
2026	J	`jnl`	ReNN-RV: Run-Time PE Reconfiguration for DNN Inference Acceleration With Custom RISC-V ISA. IEEE Trans. Computers Yueting Li, Terry Tao Ye, Ngai Wong, Zhenhua Zhu, Yongfu Li, Weisheng Zhao
2026	A	`conf`	STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning. EuroSys Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang
2026	—	`conf`	SpAct-NDP: Efficient LLM Inference via Sparse Activation on NDP-GPU Heterogeneous Architecture. ASP-DAC Jiaming Xu, Tongxin Xie, Yongkang Zhou, Jinhao Li, Yaoxiu Lian, Zhenhua Zhu, Yu Wang, Guohao Dai
2026	J	`jnl`	Towards Floating Point-Based AI Acceleration: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ACM Trans. Design Autom. Electr. Syst. Lidong Guo, Zhenhua Zhu, Xuefei Ning, Tengxuan Liu, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2025	J	`jnl`	Cross-Layer Design and Design Automation for In-Memory Computing Based on Nonvolatile Memory Technologies. IEEE Des. Test Xiaobo Sharon Hu, Mingyen Lee, Mengyuan Li, João Paulo Cardoso de Lima, Liu Liu, Zhenhua Zhu, Jerónimo Castrillón, Michael T. Niemier, Yu Wang
2025	—	`conf`	Deep Neural Network Inference Partitioning in Embedded Hybrid Analog-Digital Systems. ISQED Fabian Kreß, Julian Höfer, Qiushi Lin, Patrick Schmidt, Zhenhua Zhu, Yu Zhu, Tanja Harbaum, Yu Wang, Jürgen Becker
2025	J	`jnl`	Exploiting the Memory-Compute-Coupling Feature for CIM Accelerator Design Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongkun Wu, Xiaomeng Wang, Jia Chen, Zhenhua Zhu, Jingyu He, Pingcheng Dong, Yonghao Tan, Xin Zhao, Liang Chang, Yu Wang, Fengbin Tu, Chi-Ying Tsui, Kwang-Ting Cheng
2025	A	`conf`	FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. FPGA Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2025	J	`jnl`	FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation. CoRR Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
2025	A*	`conf`	HPIM-NoC: A Priori-Knowledge-Based Optimization Framework for Heterogeneous PIM-Based NoCs. DAC Shuai Yuan, Angxin Cai, Qiushi Lin, Guoxing Wang, Yu Wang, Zhenhua Zhu, Yanan Sun
2025	A	`conf`	How Do Errors Impact NN Accuracy on Non-Ideal Analog PIM? Fast Evaluation via an Error-Injected Robustness Metric. ICCAD Lidong Guo, Zhenhua Zhu, Qiushi Lin, Yuan Xie, Huazhong Yang, Wangyang Fu, Yu Wang
2025	J	`jnl`	HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shuai Yuan, Weifeng He, Zhenhua Zhu, Fangxin Liu, Zhuoran Song, Guohao Dai, Guanghui He, Yanan Sun
2025	A*	`conf`	PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models. DAC Xinhao Yang, Tianchen Zhao, Hongyi Wang, Wenheng Ma, Shulin Zeng, Zhenhua Zhu, Xuefei Ning, Huazhong Yang, Yu Wang
2025	A*	`conf`	REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems. MICRO Hongyi Wang, Zhenhua Zhu, Tianchen Zhao, Yunfei Xiang, Zehao Wang, Jincheng Yu, Huazhong Yang, Yuan Xie, Yu Wang
2025	J	`jnl`	Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training. CoRR Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang
2025	J	`jnl`	Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design. CoRR Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang
2025	A*	`conf`	TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. HPCA Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai
2025	A*	`conf`	UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures. HPCA Tongxin Xie, Zhenhua Zhu, Bing Li, Yukai He, Cong Li, Guangyu Sun, Huazhong Yang, Yuan Xie, Yu Wang
2025	J	`jnl`	db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism. CoRR Siqi Chen, Ke Hong, Tianchen Zhao, Ruiqi Xie, Zhenhua Zhu, Xudong Zhang, Yu Wang
2024	A	`conf`	DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
2024	A*	`conf`	DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. DAC Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang
2024	A*	`conf`	EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. DAC Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
2024	—	`conf`	Efficient Deployment of Large Language Model across Cloud-Device Systems. SOCC Fan Yang, Zehao Wang, Haoyu Zhang, Zhenhua Zhu, Xinhao Yang, Guohao Dai, Yu Wang
2024	J	`jnl`	Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search. CoRR Haoyu Zhang, Jun Liu, Zhenhua Zhu, Shulin Zeng, Maojia Sheng, Tao Yang, Guohao Dai, Yu Wang
2024	—	`conf`	FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang
2024	—	`conf`	GLITCHES: GPU-FPGA LLM Inference Through a Collaborative Heterogeneous System. HPEC Fan Yang, Xinhao Yang, Hongyi Wang, Zehao Wang, Zhenhua Zhu, Shulin Zeng, Yu Wang
2024	J	`jnl`	LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization. CoRR Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang
2024	C	`conf`	MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor. ICCD Yuan Li, Renzhi Chen, Zhijie Yang, Xun Xiao, Jingyue Zhao, Zhenhua Zhu, Huadong Dai, Yuhua Tang, Weixia Xu, Li Luo, Lei Wang
2024	J	`jnl`	TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky
2024	J	`jnl`	Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Trans. Circuits Syst. Video Technol. Shiyao Li, Zhenhua Zhu, Hanbo Sun, Xuefei Ning, Guohao Dai, Yiming Hu, Huazhong Yang, Yu Wang
2024	A	`conf`	Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. ICCAD Lidong Guo, Zhenhua Zhu, Tengxuan Liu, Xuefei Ning, Shiyao Li, Guohao Dai, Huazhong Yang, Wangyang Fu, Yu Wang
2023	A	`conf`	CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang
2023	A*	`conf`	DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang
2023	J	`jnl`	EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
2023	J	`jnl`	Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2023	J	`jnl`	MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
2023	A*	`conf`	Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. DAC Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang
2023	A	`conf`	Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang
2023	A*	`conf`	PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang
2023	A*	`conf`	Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang
2023	A*	`conf`	Realizing Extreme Endurance Through Fault-aware Wear Leveling and Improved Tolerance. HPCA Jiangwei Zhang, Chong Wang, Zhenhua Zhu, Donald Kline, Alex K. Jones, Huazhong Yang, Yu Wang
2023	—	`conf`	SRAM-Based Processing-In-Memory Design with Kullback-Leibler Divergence-Based Dynamic Precision Quantization. ACM Great Lakes Symposium on VLSI Yanjun Li, Chunshan Zu, Bingqian Wang, Zhenhua Zhu, Yaojun Zhang, Ran Duan, Bing Li, Bonan Yan
2023	J	`jnl`	Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers Shulin Zeng, Guohao Dai, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang
2023	J	`jnl`	TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks. CoRR Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky
2022	A*	`conf`	DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang
2022	A	`conf`	Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang
2022	J	`jnl`	Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
2022	A	`conf`	Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
2022	B	`conf`	Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang
2022	—	`conf`	WESCO: Weight-encoded Reliability and Security Co-design for In-memory Computing Systems. ISVLSI Jiangwei Zhang, Chong Wang, Yi Cai, Zhenhua Zhu, Donald Kline, Huazhong Yang, Yu Wang
2021	J	`jnl`	Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing With Ferroelectric FETs. IEEE Trans. Circuits Syst. II Express Briefs Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li
2021	J	`jnl`	Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs. CoRR Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li
2021	J	`jnl`	FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. ACM Trans. Design Autom. Electr. Syst. Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
2021	—	`conf`	MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. AICAS Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang
2021	—	`conf`	Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. ASP-DAC Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang
2021	A	`conf`	Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen
2020	—	`conf`	An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. ASP-DAC Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang
2020	J	`jnl`	Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors. Sci. China Inf. Sci. Rui Yuan, Mingyuan Ma, Liying Xu, Zhenhua Zhu, Qingxi Duan, Teng Zhang, Yu Zhu, Yu Wang, Ru Huang, Yuchao Yang
2020	J	`jnl`	FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
2020	—	`conf`	MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang
2020	A	`conf`	Security Enhancement for RRAM Computing System through Obfuscating Crossbar Row Connections. DATE Minhui Zou, Zhenhua Zhu, Yi Cai, Junlong Zhou, Chengliang Wang, Yu Wang
2019	A*	`conf`	A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang
2019	A	`conf`	A General Logic Synthesis Framework for Memristor-based Logic Design. ICCAD Zhenhua Zhu, Mingyuan Ma, Jialong Liu, Liying Xu, Xiaoming Chen, Yuchao Yang, Yu Wang, Huazhong Yang
2019	—	`conf`	HDC-IM: Hyperdimensional Computing In-Memory Architecture based on RRAM. ICECS Jialong Liu, Mingyuan Ma, Zhenhua Zhu, Yu Wang, Huazhong Yang
2019	—	`conf`	Learning the sparsity for ReRAM: mapping and pruning sparse neural network for ReRAM based accelerator. ASP-DAC Jilan Lin, Zhenhua Zhu, Yu Wang, Yuan Xie
2019	J	`jnl`	TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
2018	A	`conf`	Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. ICCAD Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang
2018	A	`conf`	Rescuing memristor-based computing with non-linear resistance levels. DATE Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang
2018	—	`conf`	Training low bitwidth convolutional neural network on RRAM. ASP-DAC Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang
2017	A*	`conf`	TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. DAC Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang