Fangmin Chen

According to our database, Fangmin Chen authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models.

Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference.

Chao Zeng, Songwei Liu, Shu Yang, Fangmin Chen, Xing Mei, Lean Fu

CoRR, 2024

FoldGPT: Simple and Effective Large Language Model Compression Scheme.

Songwei Liu, Chao Zeng, Lianqiang Li, Chenqian Yan, Lean Fu, Xing Mei, Fangmin Chen

CoRR, 2024

2023

SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity.

Haitao Xu, Songwei Liu, Yuyang Xu, Shuai Wang, Jiashi Li, Chenqian Yan, Liangqiang Li, Lean Fu, Xin Pan, Fangmin Chen

CoRR, 2023

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution.

Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Residual Local Feature Network for Efficient Super-Resolution.

Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022