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He Li 0008
Person information
- affiliation: University of Cambridge, United Kingdom
- affiliation (former): Imperial College London, Westminster, United Kingdom
Other persons with the same name
- He Li — disambiguation page
- He Li 0001
— Muroran Institute of Technology, Department of Information and Electronic Engineering, Japan (and 2 more)
- He Li 0002
- He Li 0003
- He Li 0004
- He Li 0005
- He Li 0006
- He Li 0007
- He Li 0009
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2020 – today
- 2024
- [j13]Zhiqiang Que
Low Latency Variational Autoencoder on FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(2): 323-333 (2024) - [j12]Zhiqiang Que
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Trans. Embed. Comput. Syst. 23(2): 17:1-17:28 (2024) - [c23]Ruchao Fan
An Efficient ML-based Hardware Trojan Localization Framework for RTL Security Analysis. MLCAD 2024: 17:1-17:7 - 2023
- [j11]He Li
Design Space Exploration for Efficient Quantum Most-Significant Digit-First Arithmetic. IEEE Trans. Computers 72(6): 1822-1829 (2023) - [j10]Zhiqiang Que
Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 16(1): 4:1-4:26 (2023) - [c22]Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk:
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. DAC 2023: 1-6 - [c21]Sige Bian, He Li, Chengcheng Wang, Changjun Song, Yongming Tang:
MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. FCCM 2023: 218 - [c20]Changjun Song, Yongming Tang, Jiyuan Liu
MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. FPL 2023: 159-165 - [i7]Hongxiang Fan, Hao Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk:
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. CoRR abs/2308.06849 (2023) - 2022
- [j9]Wei Mao
A Configurable Floating-Point Multiple-Precision Processing Element for HPC and AI Converged Computing. IEEE Trans. Very Large Scale Integr. Syst. 30(2): 213-226 (2022) - [c19]Sige Bian
FAPN: Face Alignment Propagation Network for Face Video Super-Resolution. ACCV (Workshops) 2022: 3-18 - [c18]Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk:
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. ASP-DAC 2022: 250-255 - [c17]Jinteng Jiao, He Li, Yanzhao Feng, Chengdong Qian, Qiang Liu:
In-depth Analysis of the Effects of Electromagnetic Fault Injection Attack on a 32-bit MCU. SOCC 2022: 1-6 - 2021
- [j8]He Li
FPGA-Accelerated Quantum Computing Emulation and Quantum Key Distillation. IEEE Micro 41(4): 49-57 (2021) - [j7]He Li
Digit Stability Inference for Iterative Methods Using Redundant Number Representation. IEEE Trans. Computers 70(7): 1074-1080 (2021) - [j6]Haocheng Ma
On-Chip Trust Evaluation Utilizing TDC-Based Parameter-Adjustable Security Primitive. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 1985-1994 (2021) - [j5]He Li
Adversarial Hardware With Functional and Topological Camouflage. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1685-1689 (2021) - [c16]Yanpeng Cao
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. ASAP 2021: 69-76 - [c15]Chuliang Guo
Joint Sparsity with Mixed Granularity for Efficient GPU Implementation. DATE 2021: 1356-1359 - [c14]Wei Mao, Kai Li, Xinang Xie, Shirui Zhao, He Li, Hao Yu:
A Reconfigurable Multiple-Precision Floating-Point Dot Product Unit for High-Performance Computing. DATE 2021: 1793-1798 - [c13]Feng Yu, He Li, Rongshi Dai, Yongming Tang:
A General Video Processing Framework on Edge Computing FPGAs. FCCM 2021: 252 - [c12]Ameer M. S. Abdelhadi, He Li:
Reconfigurable Synthesizable Synchronization FIFOs. FCCM 2021: 272 - [c11]Ameer M. S. Abdelhadi, He Li:
Enabling Mixed-Timing NoCs for FPGAs: Reconfigurable Synthesizable Synchronization FIFOs. FPL 2021: 312-318 - [c10]He Li, Yaru Pang, Jiliang Zhang:
Security Enhancements for Approximate Machine Learning. ACM Great Lakes Symposium on VLSI 2021: 461-466 - [c9]He Li, Hongxiang Fan, Jiawei Liang
Quantum Most-Significant Digit-First Addition. IGSC (Workshops) 2021: 1-8 - [c8]Feng Yu, He Li, Sige Bian, Yongming Tang:
An Efficient Network Design for Face Video Super-resolution. ICCVW 2021: 1513-1520 - [c7]Chuliang Guo
Regularization-Free Structural Pruning for GPU Inference Acceleration. ISQED 2021: 149-153 - [i6]Yanpeng Cao, Chengcheng Wang, Changjun Song, Yongming Tang, He Li:
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. CoRR abs/2107.05307 (2021) - [i5]Feng Yu, He Li, Sige Bian, Yongming Tang:
An Efficient Network Design for Face Video Super-resolution. CoRR abs/2109.13626 (2021) - [i4]Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk:
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR abs/2111.12787 (2021) - 2020
- [j4]Xinbo Liu, Yaping Lin, He Li, Jiliang Zhang:
A novel method for malware detection on ML-based visualization technique. Comput. Secur. 89 (2020) - [j3]He Li
architect: Arbitrary-Precision Hardware With Digit Elision for Efficient Iterative Compute. IEEE Trans. Very Large Scale Integr. Syst. 28(2): 516-529 (2020) - [c6]Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So
FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. DAC 2020: 1-6 - [i3]He Li, Ian McInerney
Digit Stability Inference for Iterative Methods Using Redundant Number Representation. CoRR abs/2006.09427 (2020)
2010 – 2019
- 2019
- [c5]Xinbo Liu, Jiliang Zhang, Yaping Lin, He Li:
ATMPA: attacking machine learning-based malware visualization detection methods via adversarial examples. IWQoS 2019: 38:1-38:10 - [i2]He Li, James J. Davis, John Wickerson, George A. Constantinides:
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute. CoRR abs/1910.00271 (2019) - 2018
- [j2]He Li, Qiang Liu, Fuqiang Chen:
Signal word-level statistical properties-based activation approach for hardware Trojan detection in DSP circuits. IET Comput. Digit. Tech. 12(6): 258-267 (2018) - [c4]He Li, James J. Davis, John Wickerson
Digit Elision for Arbitrary-accuracy Iterative Computation. ARITH 2018: 107-114 - [i1]Xinbo Liu, Yapin Lin, He Li, Jiliang Zhang:
Adversarial Examples: Attacks on Machine Learning-based Malware Visualization Detection Methods. CoRR abs/1808.01546 (2018) - 2017
- [c3]He Li, James J. Davis, John Wickerson
architect: Arbitrary-precision constant-hardware iterative compute. FPT 2017: 73-79 - 2016
- [j1]He Li, Qiang Liu, Jiliang Zhang:
A survey of hardware Trojan threat and defense. Integr. 55: 426-437 (2016) - 2015
- [c2]He Li, Qiang Liu, Jiliang Zhang, Yongqiang Lyu:
A Survey of Hardware Trojan Detection, Diagnosis and Prevention. CAD/Graphics 2015: 173-180 - 2014
- [c1]He Li, Qiang Liu:
Hardware Trojan detection acceleration based on word-level statistical properties management. FPT 2014: 153-160
Coauthor Index
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last updated on 2024-11-22 20:39 CET by the dblp team
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