Gang Li

Orcid: 0000-0001-7835-4739

Affiliations:

Shanghai Jiao Tong University, China
Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China (former)

According to our database¹, Gang Li authored at least 31 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing.

[BibT_eX]

[DOI]

CoRR, July, 2025

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation.

[BibT_eX]

[DOI]

CoRR, June, 2025

GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

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

[BibT_eX]

[DOI]

Xing Li

Zhuoran Song

Rachata Ausavarungnirun

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Zejian Liu

Gang Li

Jian Cheng

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

A<sup>2</sup>Q: Aggregation-Aware Quantization for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Dual Gating Neural Networks.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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

Ladder Pyramid Networks For Single Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

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

[BibT_eX]

[DOI]

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

Sparsity-Inducing Binarized Neural Networks.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

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

2018

Recent advances in efficient computation of deep convolutional neural networks.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2018

BundleNet: Learning with Noisy Label via Sample Correlations.

[BibT_eX]

[DOI]

IEEE Access, 2018

Training Binary Weight Networks via Semi-Binary Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

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

[BibT_eX]

[DOI]

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

Gang Li

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