About Me
I am a second-year PhD student at the University of Bristol, supervised by Prof. Shawn Shen.
My research focuses on video understanding, multimodal large language models (MLLMs), and efficient multimodal reasoning.
📢 News
- Jan 2026 — One paper accepted at ICLR 2026
- Oct 2025 — Two papers accepted at WACV 2026
- Jun 2025 — One paper accepted at MICCAI 2025
- May 2025 — Joined Memories.ai Research as an AI Research Scientist
- Nov 2024 — 🎓 Joined the VI Lab at Bristol as a PhD student
📚 Publications
2026
(WACV 2026) PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications
Yunze Liu, Zifan Wang, Peiran Wu, Jiayang Ao
Paper | Code | Project
(ICLR 2026) MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
Peiran Wu, Zhuorui Yu, Yunze Liu, Chi-Hao Wu, Enmin Zhou, Junxiao Shen
Paper | Code | Project
(WACV 2026) St-Think: How Multimodal Large Language Models Reason About 4D Worlds from Egocentric Videos
Peiran Wu, Yunze Liu, Miao Liu, Junxiao Shen
Paper | Code
(MICCAI 2025) Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Yang Liu, Peiran Wu, Jiayu Huo, Gongyu Zhang, Zhen Yuan, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin
Paper | Code
Preprints
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
Peiran Wu, Yunze Liu, Zhengdong Zhu, Enmin Zhou, Junxiao Shen
arXiv | Code | Dataset
VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining
Yunze Liu, Peiran Wu, Cheng Liang, Junxiao Shen, Limin Wang, Li Yi
arXiv | Code
FM-Bench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I Bercea, Rossella Arcucci
arXiv | Code
🎓 Education
University of Bristol, UK
PhD in Computer Science
Oct 2024 – Present
💼 Experience
Memories.ai Research, USA
AI Research Scientist(Part-time)
May 2025 – Present
Toshiba Research Europe Limited, UK
Research Intern
Jun 2024 – Sep 2024