Yongliang Wu

Ph.D. Student, Computer Vision and Machine Learning Group
University of Illinois Urbana-Champaign

wu152@illinois.edu

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About

Yongliang Wu is a Ph.D. student at the University of Illinois Urbana-Champaign, supervised by Prof. Yaoyao Liu. Yongliang received Master's and Bachelor's degrees from Southeast University, supervised by Prof. Xu Yang, and also works closely with Prof. Bernt Schiele at the Max Planck Institute for Informatics and Prof. Ming-Hsuan Yang at the University of California, Merced.

Publications

• Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
  Li Li, Yongliang Wu, Jingze Zhu, Jiawei Peng, Jianfei Cai, Xu Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
  PDF
• OpusAnimation: Code-Based Dynamic Chart Generation
  Bozheng Li, Miao Yang, Zhenhan Chen, Jiawang Cao, Mushui Liu, Yi Lu, Yongliang Wu, Bin Zhang, Yangguang Ji, Licheng Tang, Jay Wu, Wenbo Zhu
  The Third Conference on Language Modeling (CoLM), 2026
  PDF
• Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning
  Xingyu Zhu, Liang Yi, Shuo Wang, Wenbo Zhu, Yongliang Wu, Beier Zhu, Hanwang Zhang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  PDF
• On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
  Yongliang Wu*, Yizhou Zhou*, Zhou Ziheng, Yingzhe Peng, Xinyu Ye, Xinting Hu, Wenbo Zhu, Lu Qi, Ming-Hsuan Yang, Xu Yang
  International Conference on Learning Representations (ICLR), 2026
  PDF Code Integrated by ms-swift, trl, llama-factory
• CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
  Li Li, Ziyi Wang, Yongliang Wu, Jianfei Cai, Xu Yang
  International Conference on Learning Representations (ICLR), 2026
  PDF
• KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
  Yongliang Wu, Zonghui Li, Xinting Hu, Xinyu Ye, Xianfang Zeng, Gang Yu, Wenbo Zhu, Bernt Schiele, Ming-Hsuan Yang, Xu Yang
  Advances in Neural Information Processing Systems (NeurIPS), 2025
  PDF Project Page Widely used as a benchmark for image editing
• Number it: Temporal Grounding Videos like Flipping Manga
  Yongliang Wu*, Xinting Hu*, Yuyang Sun, Yizhou Zhou, Wenbo Zhu, Fengyun Rao, Bernt Schiele, Xu Yang
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  PDF Code
• VEU-Bench: Towards Comprehensive Understanding of Video Editing
  Bozheng Li, Yongliang Wu, Yi Lu, Jiashuo Yu, Licheng Tang, Jiawang Cao, Wenqing Zhu, Yuyang Sun, Jay Wu, Wenbo Zhu
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  PDF Code Highlight Paper
• RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought
  Yi Lu*, Jiawang Cao*, Yongliang Wu*, Bozheng Li, Licheng Tang, Yangguang Ji, Chong Wu, Jay Wu, Wenbo Zhu
  Annual Meeting of the Association for Computational Linguistics (ACL), 2025
  PDF Compared and cited by SAM 3
• Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
  Yongliang Wu*, Shiji Zhou*, Mingzhuo Yang, Lianzhe Wang, Wenbo Zhu, Heng Chang, Xinting Hu, Xiao Zhou, Xu Yang
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  PDF Code
• Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
  Yongliang Wu*, Wenbo Zhu*, Jiawang Cao*, Yi Lu, Bozheng Li, Weiheng Chi, Zihan Qiu, Lirian Su, Haolin Zheng, Jay Wu, Xu Yang
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  PDF Code
• Exploring Diverse In-Context Configurations for Image Captioning
  Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
  Advances in Neural Information Processing Systems (NeurIPS), 2023
  PDF Code