Depth Map Upsampling via Progressive Manner Based on Probability Maximization. - Rongqun Lin; Yongbing Zhang 002; Haoqian Wang; Xingzheng Wang; Qionghai Dai (PCM (2), 2015)

Deep Convolutional Neural Network for Decompressed Video Enhancement. - Rongqun Lin; Yongbing Zhang 002; Haoqian Wang; Xingzheng Wang; Qionghai Dai (DCC, 2016)

Towards Modality Transferable Visual Information Representation with Optimal Model Compression. - Rongqun Lin; Linwei Zhu; Shiqi Wang 001; Sam Kwong (ACM Multimedia, 2020)

Beyond Keypoint Coding: Temporal Evolution Inference with Compact Feature Representation for Talking Face Video Compression. - Bolin Chen; Zhao Wang 004; Binzhe Li; Rongqun Lin; Shiqi Wang 001; Yan Ye (DCC, 2022)

Deep Video Compression for P-frame in Sub-sampled Color Spaces. - Rongqun Lin; Pingping Zhang; Meng Wang 017; Shiqi Wang 001; Sam Kwong (ISCAS, 2022)

Multiple hypotheses based motion compensation for learned video compression. - Rongqun Lin; Meng Wang 017; Pingping Zhang; Shiqi Wang 001; Sam Kwong (Neurocomputing, 2023)

HFGlobalFormer: When High-Frequency Recovery Meets Global Context Modeling for Compressed Image Deraindrop. - Rongqun Lin; Wenhan Yang; Baoliang Chen; Pingping Zhang; Yue Liu; Shiqi Wang 001; Sam Kwong (IEEE Trans. Multim., 2025)

Learning-Based Compression for Noisy Images in the Wild. - Pingping Zhang; Meng Wang 017; Baoliang Chen; Rongqun Lin; Xu Wang 006; Shiqi Wang 001; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2025)

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture. - Haofeng Wang; Yilin Guo; Zehao Li; Tong Yue; Yizong Wang; Enci Zhang; Rongqun Lin; Feng Gao 014; Shiqi Wang 001; Siwei Ma (CoRR, 2025)