About Me

Iโ€™m Guanyu Zhou, a research intern at Princeton University and Falcon Vision Team at Technology Innovation Institute, currently a final year undergraduate student.

I am working closely with Prof. Zhuang Liu at Princeton University and Prof. Harry Yang at HKUST. My research interests are Multimodal Foundation Models (Visual Perception, Reasoning and AIGC). Prior to this, I did a research internship at the NLPGroup of HKUST, exploring the perception bottleneck of MLLMs/VLMs. I also had an unforgettable research time at AIMlab, where I worked on problems related to video understanding.

My ultimate goal is to build a multimodal, scalable, dataset-free, continuously learning, and self-iterating intelligent system. Feel free to email me to discuss issues in related fields!๐Ÿ˜„


๐Ÿ“… News


๐Ÿ“ Publications

[ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

Guanyu Zhou, Yida Yin, Wenhao Chai, Shengbang Tong, Xingyu Fu, Zhuang Liu

[AAAI 2026] OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination

Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen, Xuming Hu

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

Funing Fu, Tenghui Wang, Guanyu Zhou, Junyong Cen, Qichao Zhu

OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions

Guanyu Zhou, Wenxuan Liu, Wenxin Huang, Xuemei Jia, Xian Zhong, Chia-Wen Lin

CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation

Mingzhe Zheng, Dingjie Song, Guanyu Zhou, Jun You, Jiahao Zhan, Xuran Ma, Xinyuan Song, Ser-Nam Lim, Qifeng Chen, Harry Yang

An Efficient Manifold-Hypothesis-Based Dimensional Analysis Algorithm and Its Applications in MLLMs

Guanyu Zhou, Yonghua Hei, Yibo Yan, Xin Zou, Junzhe Chen, Xuming Hu


๐Ÿ“‡ Experience

Princeton

[2025.4] Princeton University / ZLab

Topic: Synthetic Data and VLMs

HKUST

[2024.7] HKUST / AI Thrust

Topic: Bias in Model Prior Knowledge

AIMLab

[2023.7] AIMLab@WHUT / Action Recognition Group

Topic: Bias in the Data (Learning Process)


โœ Services

Reviewer

  • IEEE International Conference on Computer Vision 2025 (ICCV 2025)
  • IEEE International Conference on Multimedia & Expo 2025 (ICME 2025)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Management

  • Deputy Director of Competition Management Center of the Schoolโ€™s Innovation and Entrepreneurship Department (2023-2024)


๐Ÿ‘จโ€๐Ÿซ Talks