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ORCIDMingzhe Zhang 0005
Person information
- affiliation: Ant Research, Beijing, China
Other persons with the same name
- Mingzhe Zhang — disambiguation page
- Mingzhe Zhang 0001
![[0000-0002-5455-3087]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5455-3087")
— Shandong Normal University, Jinan, China - Mingzhe Zhang 0002 — Tsinghua University, Beijing, China
- Mingzhe Zhang 0003 — University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Mingzhe Zhang 0004 — University of Queensland, Brisbane, QLD, Australia
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2020 – today
- 2026
[j12]Yintai Sun, Shengyu Fan, Zhenhua Yin, Xinkai Song, Xing Hu, Zidong Du, Qi Guo, Weizhi Xu, Rui Hou, Dan Meng, Song Bian, Mingzhe Zhang:
TensorFHE+: Fully Homomorphic Encryption Acceleration Based on Linear Algebra. IEEE Trans. Computers 75(2): 612-627 (2026)- [j11]Bo Zhang, Mingzhe Zhang, Shoumeng Yan:
Exploration of Karatsuba Algorithm for Efficient Barrett Modular Multiplication. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(2): 867-881 (2026) - [c38]Jianyu Zhao, Xueyu Wu, Guang Fan, Mingzhe Zhang, Shoumeng Yan, Lei Ju, Zhuoran Ji:
A Framework for Developing and Optimizing Fully Homomorphic Encryption Programs on GPUs. ASPLOS (2) 2026: 25-40 - [c37]Liang Kong, Xianglong Deng, Guang Fan, Shengyu Fan, Lei Chen, Yilan Zhu, Geng Yang, Yisong Chang, Shoumeng Yan, Mingzhe Zhang:
Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator. ASPLOS (2) 2026: 715-731 - [c36]Yuda An, Shushu Yi, Bo Mao, Qiao Li, Mingzhe Zhang, Diyu Zhou, Ke Zhou, Nong Xiao, Guangyu Sun, Yingwei Luo, Jie Zhang:
Xerxes: Extensive Exploration of Scalable Hardware Systems with CXL-Based Simulation Framework. FAST 2026: 329-345 - 2025
- [j10]Zhuoyu Tian, Lei Chen, Shengyu Fan, Xianglong Deng, Rui Hou, Dan Meng, Mingzhe Zhang:
LP-HENN: fully homomorphic encryption accelerator with high energy efficiency. Cybersecur. 8(1): 98 (2025) - [j9]Zihao Yang, Mengxin Zheng, Shengyu Fan, Qian Lou, Rui Hou, Dan Meng, Mingzhe Zhang:
Corrosion Hammer: a self-activated bit-flip attack to the processing-in-memory accelerator. Cybersecur. 8(1): 119 (2025) - [j8]Chenjia Xie, Zhuang Shao, Mingzhe Zhang, Yuan Du, Li Du:
RAC-NAF: A Reconfigurable Analog Circuitry for Nonlinear Activation Function Computation in Computing-in-Memory. IEEE J. Solid State Circuits 60(10): 3738-3748 (2025) - [j7]Zewei Lai, Jinhui Ye, Xiaohang Wang, Zheang Fu, Amit Kumar Singh, Yingtao Jiang, Kui Ren, Mei Yang, Sihai Qiu, Xiaodong Li, Xin Tang, Jie Song, Mingzhe Zhang:
On Improving the Performance of Intra- and Inter-chiplet Interconnection Networks in Multi-chiplet Systems for Accelerating FHE Encrypted Neural Network Applications. ACM Trans. Embed. Comput. Syst. 24(5s): 86:1-86:25 (2025) - [j6]Yucheng Zhang, Wenbin Zeng, Hong Jiang, Dan Feng, Zichen Xu, Shuibing He, Mingzhe Zhang, Dan Wu:
An Efficient Delta Compression Framework Seamlessly Integrated into Inline Deduplication. ACM Trans. Storage 21(4): 31:1-31:30 (2025) - [c35]Lei Chen, Erci Xu, Yiming Sun, Shengyu Fan, Xianglong Deng, Guiming Shi, Guang Fan, Liang Kong, Yilan Zhu, Shoumeng Yan, Mingzhe Zhang:
The Future of Fully Homomorphic Encryption System: From a Storage I/O Perspective. APPT 2025: 337-351 - [c34]Guiming Shi, Yuchen Wei, Shengyu Fan, Xianglong Deng, Liang Kong, Xianbin Li, Jingwei Cai, Shuwen Deng, Mingzhe Zhang, Kaisheng Ma:
WPC: Weight Plaintext Compression for CNN Inference based on RNS-CKKS. CCS 2025: 4094-4108 - [c33]Zihao Yang, Mengxin Zheng, Shengyu Fan, Qian Lou, Rui Hou, Dan Meng, Mingzhe Zhang:
Corrosion Hammer: A Self-Activated Bit-Flip Attack to the Processing-In-Memory Accelerator. CF 2025: 128-131 - [c32]Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan:
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. DAC 2025: 1-7 - [c31]Guang Fan, Mingzhe Zhang, Fangyu Zheng, Shengyu Fan, Tian Zhou, Xianglong Deng, Wenxu Tang, Liang Kong, Yixuan Song, Shoumeng Yan:
WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores. HPCA 2025: 1187-1200 - [c30]Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou:
CipherPrune: Efficient and Scalable Private Transformer Inference. ICLR 2025 - [c29]Zihao Yang, Yilan Zhu, Rui Hou, Dan Meng, Shengyu Fan, Mingzhe Zhang:
Analysis of Bit-Flip Attacks on Encrypted Neural Networks. ICPADS 2025: 1-10 - [c28]Shengyu Fan, Xianglong Deng, Liang Kong, Guiming Shi, Guang Fan, Dan Meng, Rui Hou, Mingzhe Zhang:
FAST: An FHE Accelerator for Scalable-parallelism with Tunable-bit. ISCA 2025: 92-106 - [c27]Dian Jiao, Xianglong Deng, Zhiwei Wang, Shengyu Fan, Yi Chen, Dan Meng, Rui Hou, Mingzhe Zhang:
Neo: Towards Efficient Fully Homomorphic Encryption Acceleration using Tensor Core. ISCA 2025: 107-121 - [c26]Li Peng, Wenbo Wu, Shushu Yi, Xianzhang Chen, Chenxi Wang, Shengwen Liang, Zhe Wang, Nong Xiao, Qiao Li, Mingzhe Zhang, Jie Zhang:
XHarvest: Rethinking High-Performance and Cost-Efficient SSD Architecture with CXL-Driven Harvesting. ISCA 2025: 434-449 - [c25]Tiantian Lin, Cheng Qiu, Xiaohang Wang, Ling Wang, Zhulin Zheng, Yingtao Jiang, Amit Kumar Singh, Jieming Yin, Sihai Qiu, Xiaodong Li, Xin Tang, Jie Song, Mingzhe Zhang, Kui Ren:
LEGOSim: A Unified Parallel Simulation Framework for Multi-chiplet Heterogeneous Integration. MICRO 2025: 1347-1362 - [c24]Liang Kong, Shengyu Fan, Xianglong Deng, Lei Chen, Guang Fan, Guiming Shi, Yilan Zhu, Geng Yang, Shoumeng Yan, Mingzhe Zhang:
HAWK: Fully Homomorphic Encryption Accelerator with Fixed-Word Key Decomposition Switching. MICRO 2025: 1719-1734 - [i9]Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou:
CipherPrune: Efficient and Scalable Private Transformer Inference. CoRR abs/2502.16782 (2025) - [i8]Fangxin Liu, Haomin Li, Zongwu Wang, Bo Zhang, Mingzhe Zhang, Shoumeng Yan, Li Jiang, Haibing Guan:
ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads. CoRR abs/2503.15916 (2025) - [i7]Lei Chen, Erci Xu, Yiming Sun, Shengyu Fan, Xianglong Deng, Guiming Shi, Guang Fan, Liang Kong, Yilan Zhu, Shoumeng Yan, Mingzhe Zhang:
The Future of Fully Homomorphic Encryption System: from a Storage I/O Perspective. CoRR abs/2511.04946 (2025) - 2024
- [j5]Mo Zou, Mingzhe Zhang, Rujia Wang, Xian-He Sun, Xiaochun Ye, Dong-Rui Fan, Zhimin Tang:
Skyway: Accelerate Graph Applications with a Dual-Path Architecture and Fine-Grained Data Management. J. Comput. Sci. Technol. 39(4): 871-894 (2024) - [c23]Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li:
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC 2024: 26:1-26:6 - [c22]Xiurui Pan, Yuda An, Shengwen Liang, Bo Mao, Mingzhe Zhang, Qiao Li, Myoungsoo Jung, Jie Zhang:
Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation. ISCA 2024: 915-930 - [c21]Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang:
Trinity: A General Purpose FHE Accelerator. MICRO 2024: 338-351 - [i6]Shengyu Fan, Xianglong Deng, Zhuoyu Tian, Zhicheng Hu, Liang Chang, Rui Hou, Dan Meng, Mingzhe Zhang:
Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption. CoRR abs/2403.10188 (2024) - [i5]Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang:
Trinity: A General Purpose FHE Accelerator. CoRR abs/2410.13405 (2024) - [i4]Yuda An, Shushu Yi, Bo Mao, Qiao Li, Mingzhe Zhang, Ke Zhou, Nong Xiao, Guangyu Sun, Xiaolin Wang, Yingwei Luo, Jie Zhang:
A Novel Extensible Simulation Framework for CXL-Enabled Systems. CoRR abs/2411.08312 (2024) - 2023
- [c20]Yinghao Yang, Huaizhi Zhang, Shengyu Fan, Hang Lu, Mingzhe Zhang, Xiaowei Li:
Poseidon: Practical Homomorphic Encryption Accelerator. HPCA 2023: 870-881 - [c19]Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang:
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. HPCA 2023: 922-934 - [i3]Xingquan Li, Simin Tao, Zengrong Huang, Shijian Chen, Zhisheng Zeng, Liwei Ni, Zhipeng Huang, Chunan Zhuang, Hongxi Wu, Weiguo Li, Xueyan Zhao, He Liu, Shuaiying Long, Wei He, Bojun Liu, Sifeng Gan, Zihao Yu, Tong Liu, Yuchi Miao, Zhiyuan Yan, Hao Wang, Jie Zhao, Yifan Li, Ruizhi Liu, Xiaoze Lin, Bo Yang, Zhen Xue, Fuxing Huang, Zonglin Yang, Zhenggang Wu, Jiangkao Li, Yuezuo Liu, Ming Peng, Yihang Qiu, Wenrui Wu, Zheqing Shao, Kai Mo, Jikang Liu, Yuyao Liang, Mingzhe Zhang, Zhuang Ma, Xiang Cong, Daxiang Huang, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Biwei Xie, Yungang Bao:
iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library. CoRR abs/2308.01857 (2023) - 2022
- [j4]Mo Zou, Mingzhe Zhang, Rujia Wang, Xian-He Sun, Xiaochun Ye, Dongrui Fan, Zhimin Tang:
Accelerating Graph Processing With Lightweight Learning-Based Data Reordering. IEEE Comput. Archit. Lett. 21(1): 5-8 (2022) - [j3]Wenxing Li, Ning Lin, Mingzhe Zhang, Hang Lu, Xiaoming Chen, Xiaowei Li:
VNet: a versatile network to train real-time semantic segmentation models on a single GPU. Sci. China Inf. Sci. 65(3) (2022) - [i2]Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang:
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. CoRR abs/2212.14191 (2022) - 2021
- [c18]Dingyuan Cao, Mingzhe Zhang, Hang Lu, Xiaochun Ye, Dongrui Fan, Yuezhi Che, Rujia Wang:
Streamline Ring ORAM Accesses through Spatial and Temporal Optimization. HPCA 2021: 14-25 - [c17]Hongyan Li, Hang Lu, Jiawen Huang, Wenxu Wang, Mingzhe Zhang, Wei Chen, Liang Chang, Xiaowei Li:
BitX: Empower Versatile Inference with Hardware Runtime Pruning. ICPP 2021: 15:1-15:12 - [c16]Liang Yan, Mingzhe Zhang, Rujia Wang, Xiaoming Chen, Xingqi Zou, Xiaoyang Lu, Yinhe Han, Xian-He Sun:
CoPIM: A Concurrency-aware PIM Workload Offloading Architecture for Graph Applications. ISLPED 2021: 1-6 - [c15]Hang Lu, Liang Chang, Chenglong Li, Zixuan Zhu, Shengjian Lu, Yanhuan Liu, Mingzhe Zhang:
Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration. MICRO 2021: 963-976 - [i1]Taoran Xiang, Lunkai Zhang, Shuqian An, Xiaochun Ye, Mingzhe Zhang, Yanhuan Liu, Mingyu Yan, Da Wang, Hao Zhang, Wenming Li, Ninghui Sun, Dongrui Fan:
RISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure. CoRR abs/2103.12393 (2021) - 2020
- [j2]Hang Lu, Mingzhe Zhang, Yinhe Han, Qi Wang, Huawei Li, Xiaowei Li:
Architecting Effectual Computation for Machine Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2654-2667 (2020)
2010 – 2019
- 2019
- [j1]Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Frederic T. Chong, Zhiyong Liu:
Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM. IEEE Trans. Computers 68(9): 1365-1375 (2019) - [c14]Farzaneh Zokaee, Mingzhe Zhang, Lei Jiang:
FindeR: Accelerating FM-Index-Based Exact Pattern Matching in Genomic Sequences through ReRAM Technology. PACT 2019: 284-295 - [c13]Farzaneh Zokaee, Mingzhe Zhang, Xiaochun Ye, Dongrui Fan, Lei Jiang:
Magma: A Monolithic 3D Vertical Heterogeneous ReRAM-based Main Memory Architecture. DAC 2019: 115 - [c12]Shuqian An, Mingzhe Zhang, Xiaochun Ye, Da Wang, Hao Zhang, Dongrui Fan, Zhimin Tang:
C-MAP: Improving the Effectiveness of Mapping Method for CGRA by Reducing NoC Congestion. HPCC/SmartCity/DSS 2019: 321-328 - [c11]Ning Lin, Hang Lu, Xing Hu, Jingliang Gao, Mingzhe Zhang, Xiaowei Li:
When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices. ICCD 2019: 506-514 - [c10]Mingzhe Zhang, Lunkai Zhang, Frederic T. Chong, Zhiyong Liu:
Balancing Performance and Energy Efficiency of ONoC by Using Adaptive Bandwidth. ICCD 2019: 664-667 - 2018
- [c9]Zihao Wang, Mingzhe Zhang, Jingrong Zhang, Rui Yan, Xiaohua Wan, Zhiyong Liu, Fa Zhang, Xuefeng Cui:
Mmalloc: A Dynamic Memory Management on Many-core Coprocessor for the Acceleration of Storage-intensive Bioinformatics Application. BIBM 2018: 771-774 - 2017
- [c8]Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Zhiyong Liu, Frederic T. Chong:
Balancing Performance and Lifetime of MLC PCM by Using a Region Retention Monitor. HPCA 2017: 385-396 - [c7]Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Frederic T. Chong, Zhiyong Liu:
Quick-and-Dirty: Improving Performance of MLC PCM by Using Temporary Short Writes. ICCD 2017: 585-588 - 2016
- [c6]Mingzhe Zhang, Yangguang Shi, Fa Zhang, Zhiyong Liu:
COMRANCE: A rapid method for Network-on-Chip design space exploration. IGSC 2016: 1-8 - 2014
- [c5]Lunkai Zhang, Dmitri B. Strukov, Hebatallah Saadeldeen, Dongrui Fan, Mingzhe Zhang, Diana Franklin:
SpongeDirectory: flexible sparse directories utilizing multi-level memristors. PACT 2014: 61-74 - 2013
- [c4]Xiaochun Ye, Dongrui Fan, Ninghui Sun, Shibin Tang, Mingzhe Zhang, Hao Zhang:
SimICT: A fast and flexible framework for performance and power evaluation of large-scale architecture. ISLPED 2013: 273-278 - [c3]Shuai Zhang, Zhiyong Liu, Dongrui Fan, Fenglong Song, Mingzhe Zhang:
Energy-Performance Modeling and Optimization of Parallel Computing in On-Chip Networks. TrustCom/ISPA/IUCC 2013: 879-886 - [c2]Mingzhe Zhang, Da Wang, Xiaochun Ye, Liqiang He, Dongrui Fan, Zhiyong Liu:
A Path-Adaptive Opto-electronic Hybrid NoC for Chip Multi-processor. TrustCom/ISPA/IUCC 2013: 1198-1205 - 2012
- [c1]Mingzhe Zhang, Liqiang He, Dongrui Fan:
Self-Correction Trace Model: A Full-System Simulator for Optical Network-on-Chip. IPDPS Workshops 2012: 242-247
Coauthor Index
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