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[Chenfei Liao]
Portrait of Chenfei Liao

Chenfei Liao

M.Phil. Student in Artificial Intelligence
The Hong Kong University of Science and Technology (Guangzhou)
cliao127@connect.hkust-gz.edu.cn

I am an M.Phil. student in the Red Bird Program (Artificial Intelligence) at the Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Xuming Hu and Prof. Yangqiu Song. I am currently a remote research intern at KAUST with Prof. Mohamed Elhoseiny.

My research focuses on the panoramic world, exploring the potential of panoramas as a new bridge towards real embodied intelligence and world models. I also work on robust multi-modal perception and efficient MLLMs. I work closely with Prof. Xu Zheng (GBU), Prof. Linfeng Zhang (SJTU), and Prof. Nicu Sebe (UniTrento).

I am looking for a PhD position starting in 2027.

Find me on Google Scholar GitHub LinkedIn Email CV

What's New?

  1. [Experience] Jul 2026

    Started a remote research internship at KAUST with Prof. Mohamed Elhoseiny.

  2. [Paper] 2026
  3. [Paper] 2026
  4. [Paper] 2026
  5. [Award] 2026

    Received the Lizhi Innovative Talent Scholarship (Top 3 in HKUST(GZ)).

  6. [Award] 2025

Selected Publications

C = Conference, P = Preprint, T = Technical Report, * = Equal Contribution, † = Project Lead

[C.1] Chenfei Liao, Wensong Wang, Zichen Wen, Xu Zheng, Yiyu Wang , "Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods," in ACL Main, 2026. [paper]

[C.2] Zixin Zhang*, Chenfei Liao*, Hongfei Zhang, Harold Haodong Chen, Kanghao Chen , "Panoramic Affordance Prediction," in ECCV, 2026. [paper]

[C.3] Haocong He*, Chenfei Liao*†, Zichen Wen, Zihao Dongfang, Xu Zheng , "OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning," in ECCV, 2026. [paper] [data]

[C.4] Chenfei Liao*†, Kaiyu Lei*, Xu Zheng, Junha Moon, Zhixiong Wang , "Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness," in CVPR Workshop: TMM-OpenWorld, 2025. [Best Paper Award][Oral] [paper]

[C.5] Hongfei Zhang*, Harold Haodong Chen*, Chenfei Liao*, Jing He*, Zixin Zhang , "DVD: Deterministic Video Depth Estimation with Generative Priors," in ICML Workshop: Foundations of Deep Generative Models, 2026. [Spotlight][300+ GitHub Stars] [paper]

[C.6] Xu Zheng*, Chenfei Liao*, Yuqian Fu, Kaiyu Lei, Yuanhuiyi Lyu , "MLLMs are Deeply Affected by Modality Bias," in ICLR Workshop: MM-Intelligence, 2026. [paper]

[P.1] Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu, Haiwei Xue, Yihong Cao , "MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation," in arXiv, 2025. [paper]

[T.1] Zichen Wen*, Yiyu Wang*, Chenfei Liao*, Boxue Yang*, Junxian Li* , "AI for Service: Proactive Assistance with AI Glasses," in Technical Report, 2025. [paper]

Education

Experience

Awards

Academic Services

Conference Reviewer
  • CVPR Workshop (TMM-OpenWorld) 2025
  • ICCV Workshop (MIRA) 2025
  • ICASSP 2026
  • ICME 2026
  • ICLR Workshop (MM-Intelligence) 2026
  • IJCNN 2027
  • ICASSP 2027
  • ACL Rolling Review (ARR) October 2026
Journal Reviewer
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Robot Learning (T-RL)