I am Yu Xu (εΎζ¦), a Ph.D. student in Computer Science at University of Chinese Academy of Sciences, supervised by Prof. Juan Cao and Dr. Fan Tang.
Currently, I am a Research Intern at ByteDance, working on unified multimodal video generation. Prior to this, I was a Research Intern at Tencent Hunyuan, where my work focused on unified image generation models.
Before starting my Ph.D., I received my Master of Science in Computer Science from The University of Hong Kong, supervised by Prof. Benjamin Kao, where my research focused on Visual Question Answering. I also spent a wonderful time as a Research Assistant at Kyoto University in Japan, working on image enhancement algorithms supervised by Prof. Masaaki Iiyama and Dr. Atsushi Hashimoto.
My research interests lie primarily in Visual Generation and Multimodal Large Language Models. I am passionate about advancing the frontiers of Artificial Intelligence Generated Content (AIGC) and multimodal understanding.
π₯ News
- 2026.02: Β ππ Our paper TAG-MoE has been accepted by CVPR 2026!
- 2026.02: Β ππ Our paper Re-align has been accepted by CVPR 2026!
- 2026.02: Β ππ Our paper Meta-CoT has been accepted by CVPR 2026!
- 2026.02: Β ππ Our paper GVCoT has been accepted by CVPR 2026-findings!
- 2026.01: Β ππ Our paper HeadRouter has been accepted by ACM TOG 2026!
- 2025.08: Β ππ Our paper In-Context Brush has been accepted by SIGGRAPH ASIA 2025!
- 2025.03: Β ππ Our paper B4M has been accepted by ACM TOG 2025!
π Selected Publications
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Yu Xu, Hongbin Yan, Juan Cao, Yiji Cheng, Tiankai Hang, Runze He, Zijin Yin, Shiyi Zhang, Yuxin Zhang, Jintao Li, Chunyu Wang, Qinglin Lu, Tong-Yee Lee, Fan Tang
TL;DR: TAG-MoE introduces Predictive Alignment Regularization to explicitly align internal routing decisions with high-level task semantics, transforming the MoE gate into a task-aware dispatch center for unified image synthesis.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'26)
Yu Xu, Fan Tang, Juan Cao, Xiaoyu Kong, Yuxin Zhang, Jintao Li, Oliver Deussen, Tong-Yee Lee
TL;DR: HeadRouter investigates the semantic sensitivity of attention heads in MM-DiTs and introduces a training-free framework that adaptively routes and reinforces these heads for instance-specific image editing.
ACM Transactions on Graphics (TOG'26)
Yu Xu, Fan Tang, You Wu, Lin Gao, Oliver Deussen, Hongbin Yan, Jintao Li, Juan Cao, Tong-Yee Lee
TL;DR: In-Context Brush reformulates the task as In-Context Learning (ICL) in MM-DiTs, utilizing latent feature shifting to achieve high-fidelity, text-controllable subject injection without any model tuning.
ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH ASIA'26)
B4M: Breaking Low-Rank Adapter for Making Content-Style Customization
Yu Xu, Fan Tang, Juan Cao, Yuxin Zhang, Oliver Deussen, Weiming Dong, Jintao Li, Tong-Yee Lee
TL;DR: B4M disentangles content and style customization by separating LoRA into distinct sub-parameter spaces via Partly Learnable Projection, and harmoniously fuses them using Riemannian Preconditioning.
ACM Transactions on Graphics (TOG'25)
π» Internships
-
2026.02 - (present), Bytedance, Research Intern. Beijing, China.
Unified Multimodal Video Generation.
- Focusing on research and algorithmic innovations for multimodal video generation. (Work in progress)
-
2025.06 - 2026.02, Tencent Hunyuan, Research Intern. Beijing, China.
Unified Multimodal Image Generation based on Mixture of Experts (MoE).
-
Proposed a task-aware gating mechanism in MoE for unified image generation and editing. (Accepted by CVPR 2026)
-
Curated large-scale datasets and trained the image editing model, contributing to the visual generation capabilities of Tencent Yuanbao.
-
π Professional Activities
Conference Reviewer
-
2025: ICCV, AAAI, CVPR
-
2024: ECCV, ACM MM, NeurIPS, AAAI
Journal Reviewer
- IEEE Transactions on Multimedia
π¬ Invited Talks
- 2025.05, The 6th Academic Forum on Artificial Intelligence of Beijing Universities.