Yunuo Chen

According to our database, Yunuo Chen authored at least 19 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adaptive Learned Image Compression with Graph Neural Networks.

Yunuo Chen, Bing He, Zezheng Lyu, Hongwei Hu, Qunshan Gu, Yuan Tian, Guo Lu

CoRR, March, 2026

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors.

Yunuo Chen, Chuqin Zhou, Jiangchuan Li, Xiaoyue Ling, Bing He, Jincheng Dai, Li Song, Guo Lu

CoRR, March, 2026

Inevitable Encounters: Backdoor Attacks Involving Lossy Compression.

Qian Li, Yunuo Chen, Yuntian Chen

CoRR, March, 2026

Free-GVC: Towards Training-Free Extreme Generative Video Compression with Temporal Coherence.

Xiaoyue Ling, Chuqin Zhou, Chunyi Li, Yunuo Chen, Yuan Tian, Guo Lu, Wenjun Zhang

CoRR, February, 2026

Dual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures.

Chuqin Zhou, Xiaoyue Ling, Yunuo Chen, Jincheng Dai, Guo Lu, Wenjun Zhang

CoRR, February, 2026

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors.

Bing He, Jingnan Gao, Yunuo Chen, Ning Cao, Gang Chen, Zhengxue Cheng, Li Song, Wenjun Zhang

CoRR, February, 2026

2025

Structure-Guided Allocation of 2D Gaussians for Image Representation and Compression.

Huanxiong Liang, Yunuo Chen, Yicheng Pan, Sixian Wang, Jincheng Dai, Guo Lu, Wenjun Zhang

CoRR, December, 2025

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation.

Zhoujie Fu, Xianfang Zeng, Jinghong Lan, Xinyao Liao, Cheng Chen, Junyi Chen, Jiacheng Wei, Wei Cheng, Shiyu Liu, Yunuo Chen, Gang Yu, Guosheng Lin

CoRR, November, 2025

CMIC: Content-Adaptive Mamba for Learned Image Compression.

Yunuo Chen, Zezheng Lyu, Bing He, Hongwei Hu, Qi Wang, Yuan Tian, Li Song, Wenjun Zhang, Guo Lu

CoRR, August, 2025

Large Language Model for Lossless Image Compression with Visual Prompts.

Junhao Du, Chuqin Zhou, Ning Cao, Gang Chen, Yunuo Chen, Zhengxue Cheng, Li Song, Guo Lu, Wenjun Zhang

CoRR, February, 2025

S2CFormer: Reorienting Learned Image Compression from Spatial Interaction to Channel Aggregation.

Yunuo Chen, Qian Li, Bing He, Donghui Feng, Ronghua Wu, Qi Wang, Li Song, Guo Lu, Wenjun Zhang

CoRR, February, 2025

VCIP 2025 Ultra Low-Bitrate Video Compression Challenge.

Guo Lu, Jing Wang, Yunuo Chen, Chuqin Zhou, Yibo Shi, Kai Lin

Proceedings of the International Conference on Visual Communications and Image Processing, 2025

H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting.

Bing He, Yunuo Chen, Guo Lu, Qi (Cheems) Wang, Qunshan Gu, Rong Xie, Li Song, Wenjun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Differentiable VMAF: A trainable metric for optimizing video compression codec.

Jiangchuan Li, Chuqin Zhou, Yunuo Chen, Guo Lu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Knowledge Distillation for Learned Image Compression.

Yunuo Chen, Zezheng Lyu, Bing He, Ning Cao, Gang Chen, Guo Lu, Wenjun Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points.

Bing He, Yunuo Chen, Guo Lu, Li Song, Wenjun Zhang

CoRR, 2024

Neural Rate Control for Learned Video Compression.

Yiwei Zhang, Guo Lu, Yunuo Chen, Shen Wang, Yibo Shi, Jing Wang, Li Song

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts.

Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang

CoRR, 2023

Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts.

Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang

Proceedings of the International Conference on Machine Learning, 2023