Siyu Xu is a Ph.D. student at The University of Sydney, supervised by A/Prof. Chang Xu. His research focuses on Embodied AI and Vision-Language-Action (VLA) models. His goal is to develop efficient and general-purpose robotic systems capable of understanding and interacting with the world through vision, language, and actions, enabling them to seamlessly assist humans in various real-world tasks and everyday life.
🔥 News
- 2025.09: 🎉🎉 VLA-Cache is accepted to NeurIPS 2025.
- 2025.01: 🎉🎉 One paper is accepted to NAACL 2025 Findings.
📝 Publications

Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation
Siyu Xu, Zijian Wang, Yunke Wang, Chenghao Xia, Tao Huang, Chang Xu
ArXiv, 2025

Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu
Conference of the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu
Conference of the Nations of the Americas Chapter of the ACL (NAACL), 2025
🎖 Honors and Awards
- 2025.10 NeurIPS 2025 Scholar Award - Neural Information Processing Systems Foundation Board 2025
- 2022.05 Second Class Prize - ASC22 Student Supercomputer Challenge, Asia Supercomputer Community
- 2020.10 First Place Award - Pre-training for Video Captioning Challenge, ACM International Conference on Multimedia
- 2020.10 7th Place - Artificial Intelligence Competition for Video Generation Challenge, ZHEJIANG LAB
- 2020.05 9th Place - International Audio and Video Algorithm Optimization Competition, Mongo Media
🧑🏫 Teaching
- 2024 S1, Tutor of COMP5329, Deep Learning, USYD
- 2023 S2, Tutor of COMP5328, Advanced Machine Learning, USYD
📖 Educations
- 2023.07 - 2025.06, M.Phil in Computer Vision, University of Sydney
- 2022.08 - 2023.06, Master of Information Technology, University of Sydney
💻 Internships
- 2021.03 - 2021.07, Matrixtime Robotics, China.