Jiahao Li

• “Ultra-Fast Neural Video Compression”,

Jiahao Li, Wenxuan Xie, Zhaoyang Jia, Bin Li, Zongyu Guo, Xiaoyi Zhang, Yan Lu. CVPR 2026.

• “CoD: A Diffusion Foundation Model for Image Compression”,

Zhaoyang Jia, Zihan Zheng, Naifu Xue, Jiahao Li, Bin Li, Zongyu Guo, Xiaoyi Zhang, Houqiang Li, Yan Lu. CVPR 2026.

• “Bringing Your Portrait to 3D Presence”,

Jiawei Zhang, Lei Chu, Jiahao Li, Zhenyu Zang, Chong Li, Xiao Li, Xun Cao, Hao Zhu, Yan Lu. CVPR 2026.

• “Generative Video Compression with One-Dimensional Latent Representation”,

Zihan Zheng, Zhaoyang Jia, Naifu Xue, Jiahao Li, Bin Li, Zongyu Guo, Xiaoyi Zhang, Zhenghao Chen, Houqiang Li, Yan Lu. CVPR 2026.

• “Single-step Diffusion-based Video Coding with Semantic-Temporal Guidance”,

Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Zihan Zheng, Yuan Zhang, Yan Lu. CVPR 2026.

• “Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding”,

Jialuo Li, Bin Li, Jiahao Li, Yan Lu . CVPR 2026.

• “When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs”,

Jinming Liu, Zhaoyang Jia, Jiahao Li, Bin Li, Xin Jin, Wenjun Zeng, Yan Lu. ICLR 2026.

• “One-Step Diffusion-Based Image Compression with Semantic Distillation”,

Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu. NeurIPS 2025.

• “Deep Video Search: Agentic Search with Tool Use for Long-form Video Understanding”,

Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu. NeurIPS 2025.

• “Omnidirectional 3D Scene Reconstruction from Single Image”,

Ren Yang, Jiahao Li, Yan Lu. NeurIPS 2025.

• “DLF: Extreme Image Compression with Dual-generative Latent Fusion”,

Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu. ICCV 2025.

• “Towards Practical Real-Time Neural Video Compression”,

Zhaoyang Jia, Bin Li, Jiahao Li, Wenxuan Xie, Linfeng Qi, Houqiang Li, Yan Lu. CVPR 2025.

• “PICD: Versatile Perceptual Image Compression with Diffusion Rendering”,

Tongda Xu, Jiahao Li, Bin Li, Yan Wang, Ya-Qin Zhang, Yan Lu. CVPR 2025.

• “Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression”,

Linfeng Qi, Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu. TCSVT 2025.

• “Long-term Temporal Context Gathering for Neural Video Compression”,

Linfeng Qi, Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu. ECCV 2024.

• “Neural Image Compression with Regional Decoding”,

Yili Jin,  Jiahao Li, Bin Li, Yan Lu. ACM TOMM 2024.

• “Neural Video Compression with Feature Modulation”,

Jiahao Li, Bin Li, Yan Lu. CVPR 2024.

• “Generative Latent Coding for Ultra-Low Bitrate Image Compression”,

Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu. CVPR 2024.

• “Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation”,

Xin Kang, Lei Chu, Jiahao Li, Xuejin Chen, Yan Lu. CVPR 2024.

• “Implicit Motion Function”,

Yue Gao, Jiahao Li, Lei Chu, Yan Lu. CVPR 2024.

•  “Uncertainty-Aware Deep Video Compression with Ensembles”,

Wufei Ma, Jiahao Li, Bin Li, Yan Lu. IEEE TMM 2024.

•  “Arbitrary-Scale Video Super-Resolution Guided by Dynamic Context”,

Cong Huang, Jiahao Li, Lei Chu, Dong Liu, Yan Lu. AAAI 2024.

• “Disentangle Propagation and Restoration for Efficient Video Recovery”,

Cong Huang, Jiahao Li, Lei Chu, Dong Liu, Yan Lu. ACM MM 2023.

• “Neural Video Compression with Diverse Contexts”,

Jiahao Li, Bin Li, Yan Lu. CVPR 2023.

•  “Motion Information Propagation for Neural Video Compression”,

Linfeng Qi, Jiahao Li, Bin Li, Houqiang Li, Yan Lu. CVPR 2023.

•  “VideoTrack: Learning to Track Objects via Video Transformer”,

Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma. CVPR 2023.

•  “EVC: Towards Real-Time Neural Image Compression with Mask Decay”,

Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu. ICLR 2023.

•  “Neural Compression-Based Feature Learning for Video Restoration”,

Cong Huang, Jiahao Li, Bin Li, Dong Liu, Yan Lu. CVPR 2022.

•  “Temporal Context Mining for Learned Video Compression”,

Xihua Sheng, Jiahao Li, Bin Li, Li Li, Dong Liu, Yan Lu. IEEE TMM 2022.

•  “Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression”,

Jiahao Li, Bin Li, Yan Lu. ACM MM 2022.

• “A Universal Optimization Framework for Learning-based Image Codec”,

Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu. ACM TOMM 2022.

•  “Deep Contextual Video Compression”,

Jiahao Li, Bin Li, Yan Lu. NeurIPS 2021.

•  “A Universal Encoder Rate Distortion Optimization Framework for Learned Compression”,

Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu. CVPRW 2021.

•  “A Deep Reinforcement Learning Approach to Multiple Streams’ Joint Bitrate Allocation”,

Hang Zhang, Jiahao Li, Bin Li, Yan Lu. IEEE TCSVT 2020.

•  “Intra Block Copy for Screen Content in the Emerging AV1 Video Codec”,

Jiahao Li, Hui Su, Alex Converse, Bin Li, Roger Zhou, Bruce Lin, Jizheng Xu, Yan Lu, Ruiqin Xiong. DCC 2018.

•  “Fully Connected Network-Based Intra Prediction for Image Coding”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong, Wen Gao. IEEE TIP 2018.

•  “Intra Prediction Using Fully Connected Network for Video Coding”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong. ICIP 2017.

•  “Intra Prediction Using Multiple Reference Lines for Video Coding”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong. DCC 2017.

•  “Diversity-Based Reference Picture Management for Low Delay Screen Content Coding”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong. IEEE TCSVT 2017.

• “Efficient Multiple-Line-Based Intra Prediction for HEVC”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong. IEEE TCSVT 2016.

• “An Adaptive Hierarchical QP Setting for Screen Content Coding”,

Jiahao Li, Bin Li, Jizheng Xu, Ruiqin Xiong. VCIP 2015.

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