I am a Ph.D. student at the School of Artificial Intelligence, Nanjing University. My research interests include generative world models, controllable video generation, 4D spatial memory, radar simulation, and visual scene understanding.
Before joining Nanjing University, I received my M.S. and B.S. degrees from Beihang University. My previous research covered stereo matching, autonomous driving perception, radar cube simulation, video relighting, and neural rendering.
🔥 News
- 2026: One paper accepted by SIGGRAPH 2026.
- 2026: One paper accepted by CVPR 2026 Findings and one paper selected as a CVPR 2026 Highlight.
- 2025: Started Ph.D. study at Nanjing University.
📝 Publications
Relit-LiVE: Relight Video by Jointly Learning Environment Video
Weiqing Xiao, Hong Li, Hao Zhao, Beibei Wang
- A video relighting framework that jointly generates relit videos and environment videos for physically consistent and temporally stable results.
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
Weiqing Xiao, Hao Huang, Chonghao Zhong, Hao Zhao
- A controllable radar cube simulation framework supporting radar attribute editing, object removal, and new-trajectory rendering.
Stepwise Regression and Pre-trained Edge for Robust Stereo Matching
Weiqing Xiao, Wei Zhao
- A robust stereo matching method using stepwise disparity regression and edge-guided adaptation for better cross-domain generalization.
- NeAR: Coupled Neural Asset-Renderer Stack, Hong Li, Chongjie Ye, Houyuan Chen, Weiqing Xiao, Hao Zhao, CVPR 2026 Highlight.
- UniVidX: A Unified Multimodal Framework for Versatile Video Generation, Houyuan Chen, Hong Li, Weiqing Xiao, Hao Zhao, SIGGRAPH 2026 / ToG.
- Unifying Appearance Codes and Bilateral Grids for Driving Scene, Nan Wang, Yuantao Chen, Lixing Xiao, Weiqing Xiao, Hao Zhao, NeurIPS 2025.
- Uncertainty-Guided Iterative Architecture for Stereo Matching, Weiqing Xiao, Fengjun Zhong, Hao Zhao, ICME 2025.
🎖 Honors and Awards
- 2025, First-Class Doctoral Scholarship, Nanjing University.
- 2023, 2024, First-Class Graduate Academic Scholarship, Beihang University.
- 2023, IEEE/ACM DAC System Design Contest, GPU Track, 1st Place.
- 2023, IEEE/ACM DAC System Design Contest, FPGA Track, 3rd Place.
- 2022, Outstanding Graduate, Beihang University.
📖 Educations
- 2025 - Present, Ph.D. student in Computer Science and Technology, School of Artificial Intelligence, Nanjing University.
- 2022 - 2025, M.S. in Information and Communication Engineering, School of Electronic and Information Engineering, Beihang University.
- 2018 - 2022, B.S. in Electronic and Information Engineering, School of Advanced Engineering, Beihang University.
💻 Projects
- 2025 - 2026, Controllable world models, Beijing Academy of Artificial Intelligence.
- 2024 - 2025, Attribute-controllable radar simulation for autonomous driving scenes, Tsinghua AIR.
- 2023 - 2024, High-speed train fault detection with visual inspection models.
- 2023, Lightweight detection model design and deployment acceleration for the DAC System Design Contest.