Gang Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Natural Language

Efficient Inference

Recent Advances

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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)
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)
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)
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE (2023)
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) (2023)
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) (2023)
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) (2022)
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) (2022)
Gang Li, Zejian Liu, Fanrong Li, Jian Cheng
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR (2021)
Fanrong Li, Gang Li, Xiangyu He, Jian Cheng
Dynamic Dual Gating Neural Networks. ICCV (2021)
Zejian Liu, Gang Li, Jian Cheng
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE (2021)
Zejian Liu, Fanrong Li, Gang Li, Jian Cheng
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) (2021)
Zejian Liu, Gang Li, Jian Cheng
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR (2021)
Zitao Mo, Xiangyu He, Gang Li, Jian Chen
Ladder Pyramid Networks For Single Image Super-Resolution. ICIP (2020)
Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE (2020)
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) (2020)
Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng
Sparsity-Inducing Binarized Neural Networks. AAAI (2020)
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 (2019)
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)
Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng
Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE (2018)
Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) (2018)
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR (2018)
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) (2018)
Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu
BundleNet: Learning with Noisy Label via Sample Correlations. IEEE Access 6 (2018)