Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts. - Qihan Ren; Huiqi Deng; Yunuo Chen 002; Siyu Lou; Quanshi Zhang (ICML, 2023)

Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts. - Qihan Ren; Huiqi Deng; Yunuo Chen 002; Siyu Lou; Quanshi Zhang (CoRR, 2023)

Neural Rate Control for Learned Video Compression. - Yiwei Zhang; Guo Lu; Yunuo Chen 002; Shen Wang 013; Yibo Shi; Jing Wang; Li Song 001 (ICLR, 2024)

S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points. - Bing He; Yunuo Chen 002; Guo Lu; Li Song 001; Wenjun Zhang 001 (CoRR, 2024)

Differentiable VMAF: A trainable metric for optimizing video compression codec. - Jiangchuan Li; Chuqin Zhou; Yunuo Chen 002; Guo Lu (ISCAS, 2025)

S2CFormer: Reorienting Learned Image Compression from Spatial Interaction to Channel Aggregation. - Yunuo Chen 002; Qian Li; Bing He; Donghui Feng 003; Ronghua Wu; Qi Wang; Li Song 001; Guo Lu; Wenjun Zhang 001 (CoRR, 2025)

Large Language Model for Lossless Image Compression with Visual Prompts. - Junhao Du; Chuqin Zhou; Ning Cao; Gang Chen; Yunuo Chen 002; Zhengxue Cheng; Li Song 001; Guo Lu; Wenjun Zhang 001 (CoRR, 2025)

CMIC: Content-Adaptive Mamba for Learned Image Compression. - Yunuo Chen 002; Zezheng Lyu; Bing He; Hongwei Hu; Qi Wang; Yuan Tian 017; Li Song 001; Wenjun Zhang 001; Guo Lu (CoRR, 2025)