Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (CoRR, 2022)

Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution. - Jiahao Chao; Zhou Zhou 015; Hongfan Gao; Jiali Gong; Zhengfeng Yang; Zhenbing Zeng; Lydia Dehbi (CVPR, 2023)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin 002; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (CVPR Workshops, 2023)

Kernel Estimation and Deconvolution for Blind Image Super-Resolution. - Jiali Gong; Hongfan Gao; Jiahao Chao; Zhou Zhou 015; Zhengfeng Yang; Zhenbing Zeng (ICASSP, 2023)

A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution. - Jiahao Chao; Zhou Zhou 015; Hongfan Gao; Jiali Gong; Zhenbing Zeng; Zhengfeng Yang (IJCAI, 2023)

Enhancing Real-Time Super Resolution with Partial Convolution and Efficient Variance Attention. - Zhou Zhou 015; Jiahao Chao; Jiali Gong; Hongfan Gao; Zhenbing Zeng; Zhengfeng Yang (ACM Multimedia, 2023)

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. - Hongfan Gao; Wangmeng Shen; Xiangfei Qiu; Ronghui Xu 001; Jilin Hu; Bin Yang 002 (CoRR, 2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (CoRR, 2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (KDD (1), 2025)

Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models. - Yongfu Wei; Yan Lin 006; Hongfan Gao; Ronghui Xu 001; Sean Bin Yang; Jilin Hu (WWW, 2025)

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. - Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2025)