Gang Li

According to our database, Gang Li authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity.

Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.

Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng

CoRR, 2024

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.

Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks.

Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification.

Peisong Wang, Fanrong Li, Gang Li, Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning.

Zejian Liu, Gang Li, Jian Cheng

IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

A²Q: Aggregation-Aware Quantization for Graph Neural Networks.

Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

CoRR, 2023

$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.

Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.

Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity.

Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN.

Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators.

Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.

Gang Li, Zejian Liu, Fanrong Li, Jian Cheng

CoRR, 2021

Dynamic Dual Gating Neural Networks.

Fanrong Li, Gang Li, Xiangyu He, Jian Cheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing.

Zejian Liu, Gang Li, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

EBERT: Efficient BERT Inference with Dynamic Structured Pruning.

Zejian Liu, Fanrong Li, Gang Li, Jian Cheng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs.

Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Ladder Pyramid Networks For Single Image Super-Resolution.

Zitao Mo, Xiangyu He, Gang Li, Jian Chen

Proceedings of the IEEE International Conference on Image Processing, 2020

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.

Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Sparsity-Inducing Binarized Neural Networks.

Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A System-Level Solution for Low-Power Object Detection.

Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Recent advances in efficient computation of deep convolutional neural networks.

Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu

Frontiers Inf. Technol. Electron. Eng., 2018

BundleNet: Learning with Noisy Label via Sample Correlations.

Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu

IEEE Access, 2018

Training Binary Weight Networks via Semi-Binary Decomposition.

Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng

Proceedings of the Computer Vision - ECCV 2018, 2018

Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA.

Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018