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ORCIDGang Li 0015
Person information
- affiliation: Shanghai Jiao Tong University, China
- affiliation (former): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Gang Li — disambiguation page
- Gang Li 0001
![[0000-0001-9585-1382]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9585-1382")
— University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA (and 1 more) - Gang Li 0002 — Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, China
- Gang Li 0003 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Gang Li 0004 — Hong Kong Baptist University, Kowloon Tong, Hong Kong (and 1 more)
- Gang Li 0005 — Harbin Institute of Technology, Department of Management Science and Engineering, Nangang, China (and 1 more)
- Gang Li 0006 — GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Germany (and 1 more)
- Gang Li 0007 — University of California at Los Angeles, Department of Biostatistics, School of Public Health, CA, USA
- Gang Li 0008 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Gang Li 0009 — Deakin University, School of Information Technology, TULIP Lab, Melbourne, Australia
- Gang Li 0010 — Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 2 more)
- Gang Li 0011 — University of Glasgow, School of Psychology and Neuroscience, UK (and 2 more)
- Gang Li 0012 — Microsoft Research Asia, Beijing, China
- Gang Li 0013 — Zhejiang Normal University, College of Engineering, China
- Gang Li 0014 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Gang Li 0016 — Chinese University of Hong Kong, Hong Kong
- Gang Li 0017 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, State Key Laboratory of Precision Measurement Technology and Instrument, China
- Gang Li 0018 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Gang Li 0019 — Xi'an Jiaotong University, School of Management, State Key Lab for Manufacturing Systems Engineering / Moe State Key Lab for Process Control & Efficiency Engineering, China
- Gang Li 0020 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Gang Li 0021 — Google Research, Mountain View, CA, USA (and 1 more)
- Gang Li 0022 — Qingdao University, School of Mathematics and Statistics, China
- Gang Li 0023 — University of Electronic Science and Technology of China, School of Information and Communications Engineering, Chengdu, China
- Gang Li 0024 — ShanghaiTech University, School of Physical Science and Technology, China (and 1 more)
- Gang Li 0025 — Chang'an University, School of Information Engineering, Xi'an, China
- Gang Li 0026 — Shandong University of Traditional Chinese Medicine, First Clinical Medical School, China
- Gang Li 0027 — Beijing University of Posts and Telecommunications, School of Economics and Management, China
- Gang Li 0028 — University of Manitoba, Department of Electrical and Computer Engineering, Winnipeg, MB, Canada (and 2 more)
- Gang Li 0029 — Chang'an University, Department of Automation, School of Electronics and Control Engineering / MoE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China
- Gang Li 0030 — University of Science and Technology of China, CAS Key Laboratory of Electromagnetic Space Information, Hefei, China
- Gang Li 0031 — Jilin University, Changchun, China (and 1 more)
- Gang Li 0032 — Nanjing University of Information Science and Technology, School of Marine Sciences, China
- Gang Li 0033 — Xinjiang Vocational and Technical College of Communications, Ürümqi, China
- Gang Li 0034 — University of Washington at Seattle, Department of Genome Sciences, WA, USA (and 1 more)
- Gang Li 0036 — University of Alberta, Advanced Control Systems Laboratory, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Gang Li 0037 — Qilu University of Technology, School of Mathematics and Statistics, Shandong Academy of Sciences, Jinan, China
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Journal Articles
- 2023
[j6]Zejian Liu, Gang Li, Jian Cheng:
Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2615-2619 (2023)- [j5]Peisong Wang, Fanrong Li, Gang Li, Jian Cheng:
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4167-4180 (2023) - 2022
- [j4]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1436-1447 (2022) - 2020
- [j3]Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng:
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3589-3600 (2020) - 2018
- [j2]Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu:
BundleNet: Learning with Noisy Label via Sample Correlations. IEEE Access 6: 2367-2377 (2018) - [j1]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. 19(1): 64-77 (2018)
Conference and Workshop Papers
- 2024
- [c15]Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng:
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA 2024: 124-138 - 2023
- [c14]Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang:
AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. DAC 2023: 1-6 - [c13]Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang:
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE 2023: 1-6 - [c12]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023 - 2022
- [c11]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) 2022: 312-327 - [c10]Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang:
Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO 2022: 1434-1450 - 2021
- [c9]Zejian Liu, Fanrong Li, Gang Li, Jian Cheng:
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) 2021: 4814-4823 - [c8]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021: 513-516 - [c7]Fanrong Li, Gang Li, Xiangyu He, Jian Cheng:
Dynamic Dual Gating Neural Networks. ICCV 2021: 5310-5319 - 2020
- [c6]Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng:
Sparsity-Inducing Binarized Neural Networks. AAAI 2020: 12192-12199 - [c5]Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng:
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020: 971-974 - [c4]Zitao Mo, Xiangyu He, Gang Li, Jian Chen:
Ladder Pyramid Networks For Single Image Super-Resolution. ICIP 2020: 578-582 - 2019
- [c3]Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng:
A System-Level Solution for Low-Power Object Detection. ICCV Workshops 2019: 2461-2468 - 2018
- [c2]Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng:
Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE 2018: 1163-1166 - [c1]Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng:
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673
Informal and Other Publications
- 2023
- [i7]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR abs/2302.00193 (2023) - [i6]Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng:
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR abs/2311.09775 (2023) - 2022
- [i5]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR abs/2208.01944 (2022) - 2021
- [i4]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR abs/2103.02800 (2021) - [i3]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR abs/2105.08937 (2021) - 2019
- [i2]Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng:
A System-Level Solution for Low-Power Object Detection. CoRR abs/1909.10964 (2019) - 2018
- [i1]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR abs/1802.00939 (2018)
Coauthor Index
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