Human identification with electrocardiogram. - Kuo-Kun Tseng; Lean Fu; Linlin Liu; Dachao Lee; Chao Wang; Lingao Li; Yao Meng (Enterp. Inf. Syst., 2018)

Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring. - Chao Zhu 007; Hang Dong 001; Jinshan Pan; Boyang Liang; Yuhao Huang; Lean Fu; Fei Wang 008 (AAAI, 2022)

Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. - Zongcai Du; Ding Liu 001; Jie Liu 040; Jie Tang 006; Gangshan Wu; Lean Fu (CVPR Workshops, 2022)

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. - Jingwen He; Wu Shi; Kai Chen 023; Lean Fu; Chao Dong 005 (CVPR, 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 (CVPR Workshops, 2022)

MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. - Jing Wang; Haotian Fan; Xiaoxia Hou; Yitian Xu; Tao Li; Xuechao Lu; Lean Fu (CVPR Workshops, 2022)

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. - Yuhao Huang; Hang Dong 001; Jinshan Pan; Chao Zhu 007; Yu Guo 006; Ding Liu 001; Lean Fu; Fei Wang 008 (CoRR, 2022)

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. - Yuhao Huang; Hang Dong 001; Jinshan Pan; Chao Zhu 007; Boyang Liang; Yu Guo 006; Ding Liu 001; Lean Fu; Fei Wang 008 (ICANN (7), 2023)

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)

ByteEdit: Boost, Comply and Accelerate Generative Image Editing. - Yuxi Ren; Jie Wu 030; Yanzuo Lu; Huafeng Kuang; Xin Xia 014; Xionghui Wang; Qianqian Wang; Yixing Zhu; Pan Xie; Shiyin Wang; Xuefeng Xiao 001; Yitong Wang; et al. (ECCV (3), 2024)

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning. - Jiacheng Zhang; Jie Wu 030; Yuxi Ren; Xin Xia 014; Huafeng Kuang; Pan Xie; Jiashi Li; Xuefeng Xiao 001; Weilin Huang; Shilei Wen; Lean Fu; Guanbin Li (NeurIPS, 2024)

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models. - Jiaxiang Cheng; Pan Xie; Xin Xia 014; Jiashi Li; Jie Wu 032; Yuxi Ren; Huixia Li; Xuefeng Xiao 001; Min Zheng; Lean Fu (CoRR, 2024)

ByteEdit: Boost, Comply and Accelerate Generative Image Editing. - Yuxi Ren; Jie Wu 032; Yanzuo Lu; Huafeng Kuang; Xin Xia 014; Xionghui Wang; Qianqian Wang; Yixing Zhu; Pan Xie; Shiyin Wang; Xuefeng Xiao 001; Yitong Wang; et al. (CoRR, 2024)

UniFL: Improve Stable Diffusion via Unified Feedback Learning. - Jiacheng Zhang; Jie Wu 030; Yuxi Ren; Xin Xia 014; Huafeng Kuang; Pan Xie; Jiashi Li; Xuefeng Xiao 001; Weilin Huang; Min Zheng; Lean Fu; Guanbin Li (CoRR, 2024)

PatchScaler: An Efficient Patch-Independent Diffusion Model for Super-Resolution. - Yong Liu 031; Hang Dong 001; Jinshan Pan; Qingji Dong; Kai Chen 023; Rongxiang Zhang; Xing Mei; Lean Fu; Fei Wang 008 (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)

Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models. - Chenqian Yan; Songwei Liu; Hongjian Liu; Xurui Peng; Xiaojian Wang; Fangming Chen; Lean Fu; Xing Mei (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)

ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models. - Jiaxiang Cheng; Pan Xie; Xin Xia 014; Jiashi Li; Jie Wu; Yuxi Ren; Huixia Li; Xuefeng Xiao 001; Shilei Wen; Lean Fu (AAAI, 2025)

Adaptive Sample Scheduling for Direct Preference Optimization. - Zixuan Huang; Yikun Ban; Lean Fu; Xiaojie Li; Zhongxiang Dai; Jianxin Li; Deqing Wang (CoRR, 2025)

Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion. - Songwei Liu; Hong Liu; Fangmin Chen; Xurui Peng; Chenqian Yan; Lean Fu; Xing Mei (CoRR, 2025)