Publication
My citation profile is available on Google Scholar — 412 citations, h-index 7, i10-index 7.
Please email me if you require a copy of the paper.
Conference Paper
Yuyang You, Yongzhi Li†, Jiahui Li, Yadong Mu, Quan Chen, Peng Jiang,
“Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2026. [pdf]
Zhengjian Yao, Yongzhi Li†, Xinyuan Gao, Quan Chen, Peng Jiang, Yanye Lu,
“Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2026. [pdf]
Milton Zhou*, Sizhong Qin*, Yongzhi Li†, Quan Chen, Peng Jiang,
“AutoCut: End-to-end Advertisement Video Editing Based on Multimodal Discretization and Controllable Generation”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2026. [pdf]
Ben Xue, Dan Liu, et al., Yongzhi Li, Quan Chen, Peng Jiang, Kun Gai,
“Generative Recommendation for Large-Scale Advertising”,
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026. [pdf]
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong MU,
“Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023. [pdf]
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong MU,
“Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding”,
NeurIPS 2022 [pdf]
Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu,
“Learning 3-D Human Pose Estimation from Catadioptric Videos”,
The 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021. [pdf] [bibtex]
Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu,
“Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes”,
IEEE International Conference on Multimedia and Expo (ICME) 2021. [pdf] [bibtex]
Liangfeng Zheng, Yongzhi Li, Yadong Mu,
“Learning Factorized Cross-View Fusion for Multi-View Crowd Counting”,
IEEE International Conference on Multimedia and Expo (ICME) 2021. [pdf] [bibtex]
Yongzhi Li, Duo Zhang, Yadong Mu,
“Visual-Semantic Matching by Exploring High-Order Attention and Distraction”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. [pdf] [bibtex]
Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan,
“Spectrally-Enforced Global Receptive Field for Contextual Medical Image Segmentation and Classification”,
IEEE International Conference on Multimedia and Expo (ICME) 2020. [pdf] [bibtex]
Xinyu Weng†, Yongzhi Li†, Lu Chi, Yadong Mu,
“High-Capacity Convolutional Video Steganography with Temporal Residual Modeling”,
ACM International Conference on Multimedia Retrieval (ICMR) 2019. (Oral Presentation) [pdf] [arXiv] [bibtex]
Preprint / Under Review
Z. Xie, Yuyang You, Yongzhi Li, E. Gong, Z. Chen, Quan Chen, Y. Cheng, Peng Jiang, Yadong Mu,
“ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy”,
Y. Cheng, B. Wang, H. Zhang, X. Gao, Z. Yin, Ben Xue, Yongzhi Li, J. Xue, Y. Ma, et al.,
“Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale”,
X. Zhang, Yongzhi Li, L. Xiao, Y. Zhang, Y. Cheng, Quan Chen, Peng Jiang, W. Wu, L. Liu,
“FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning”,
Ben Xue, J. Wang, Yongzhi Li, J. Lan, H. Xu, J. Jia, Peng Jiang, Quan Chen, Kun Gai, L. Liu, et al.,
“Universal Discrete Tokenizers: Principles, Applications, and Future Directions”,
TechRxiv preprint, 2026. [pdf]
X. Zhang, B. Wang, L. Xiao, Yongzhi Li, Quan Chen, W. Wu, L. Liu,
“Imagine: Integrating Multi-Agent System into One Model for Complex Reasoning and Planning”,