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Gang Li 0015

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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

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Gang Li — disambiguation page
Gang Li 0001 — 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
Gang Li 0038 — Wenzhou University, College of Electrical and Electronic Engineering, China (and 1 more)

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2020 – today

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2024
[j7]
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Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang:
Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(12): 4813-4826 (2024)
[c16]
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Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang:
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE 2024: 1-6
[c15]
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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
[i8]
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  - journals/corr/abs-2409-14939
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Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng:
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR abs/2409.14939 (2024)
2023
[j6]
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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]
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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)
[c14]
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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]
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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]
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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
[i7]
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  - journals/corr/abs-2302-00193
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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]
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  - journals/corr/abs-2311-09775
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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
[j4]
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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)
[c11]
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Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) 2022: 312-327
[c10]
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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
[i5]
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  - journals/corr/abs-2208-01944
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Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR abs/2208.01944 (2022)
2021
[c9]
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Zejian Liu, Fanrong Li, Gang Li, Jian Cheng:
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) 2021: 4814-4823
[c8]
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  - conf/date/Liu0021
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Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021: 513-516
[c7]
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  - conf/iccv/Li0H021
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Fanrong Li, Gang Li, Xiangyu He, Jian Cheng:
Dynamic Dual Gating Neural Networks. ICCV 2021: 5310-5319
[i4]
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  - journals/corr/abs-2103-02800
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Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR abs/2103.02800 (2021)
[i3]
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  - journals/corr/abs-2105-08937
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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)
2020
[j3]
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  - journals/tcad/LiLMHC20
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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)
[c6]
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Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng:
Sparsity-Inducing Binarized Neural Networks. AAAI 2020: 12192-12199
[c5]
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  - conf/date/0015WLLC20
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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]
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  - conf/icip/MoH0020
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Zitao Mo, Xiangyu He, Gang Li, Jian Chen:
Ladder Pyramid Networks For Single Image Super-Resolution. ICIP 2020: 578-582

2010 – 2019

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2019
[c3]
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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
[i2]
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  - journals/corr/abs-1909-10964
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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
[j2]
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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]
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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)
[c2]
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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]
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Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng:
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673
[i1]
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  - journals/corr/abs-1802-00939
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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)

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