Residual Local Feature Network for Efficient Super-Resolution. - Fangyuan Kong; Mingxi Li; Songwei Liu; Ding Liu; Jingwen He; Yang Bai; Fangmin Chen; Lean Fu (CVPR Workshops, 2022)

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution. - Yong Liu 031; Hang Dong 001; Boyang Liang; Songwei Liu; Qingji Dong; Kai Chen 023; Fangmin Chen; Lean Fu; Fei Wang 008 (ACM Multimedia, 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)

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)

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)

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 (AAAI, 2025)