SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. - Zekun Li 014; Hongying Liu 001; Fanhua Shang; Yuanyuan Liu 001; Liang Wan; Wei Feng 005 (AAAI, 2024)

Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension. - Ning Wang; Zekun Li 014; Tongxin Bai; Guoqi Li 002 (CoRR, 2024)

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. - Hongying Liu 001; Zekun Li 014; Fanhua Shang; Yuanyuan Liu 001; Liang Wang 001; Wei Feng 005; Radu Timofte (Inf. Fusion, 2024)

MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition. - Ning Wang; Zekun Li 014; Tongxin Bai; Man Yao; Zhen Qin; Guoqi Li 002 (ICML, 2025)

SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration. - Zekun Li 014; Ning Wang; Tongxin Bai; Changwang Mei; Peisong Wang; Shuang Qiu 002; Jian Cheng 001 (CoRR, 2026)

SAVSR++: An All-Stage Scale-Aware and Temporal Omniscient Framework for Arbitrary-Scale Video Super-Resolution. - Hongying Liu 001; Zekun Li 014; Wenbin Zuo; Fanhua Shang; Liang Wang 001; Wei Feng 005 (Int. J. Comput. Vis., 2026)