Portrait
Ganlong Zhao
Postdoctoral Researcher
Multimedia Lab, The Chinese University of Hong Kong
Centre for Perceptual and Interactive Intelligence (CPII)
About Me

I am a Postdoctoral Researcher with the Multimedia Lab at The Chinese University of Hong Kong and the Centre for Perceptual and Interactive Intelligence (CPII), working with Prof. Hongsheng Li. I received my Ph.D. in Computer Science from The University of Hong Kong in 2025, where I was supervised by Prof. Yizhou Yu (ACM & IEEE Fellow) and Prof. Guanbin Li.

My research focuses on embodied AI and visual intelligence, including robotic manipulation, vision-language navigation, vision-language-action models, and data-efficient learning.

I welcome opportunities for academic collaboration and professional engagement. Please feel free to reach out if you would like to discuss potential collaborations or opportunities.

Curriculum Vitae
News
4 updates
2026
Latest
RecoverBench has been accepted to NeurIPS 2026 (Evaluations & Datasets track).
ACE-Ego-0 has been accepted to CoRL 2026.
3DGS-HPC has been accepted to ICML 2026.
Two papers, FLARE and LookasideVLN, have been accepted to CVPR 2026.
Education
  • The University of Hong Kong
    The University of Hong Kong
    Department of Computer Science
    Ph.D. in Computer Science; Advisors: Prof. Yizhou Yu and Prof. Guanbin Li
    Sep. 2021 - Jul. 2025
  • Sun Yat-sen University
    Sun Yat-sen University
    Master of Computer Engineering; Advisor: Prof. Guanbin Li
    Sep. 2019 - Jun. 2021
  • Sun Yat-sen University
    Sun Yat-sen University
    B.Eng. in Computer Science and Technology
    Sep. 2015 - Jun. 2019
Experience
  • The Chinese University of Hong Kong
    The Chinese University of Hong Kong
    Hong Kong
    Postdoctoral Researcher; Multimedia Lab; Supervisor: Prof. Hongsheng Li
    Nov. 2025 - present
  • Centre for Perceptual and Interactive Intelligence (CPII)
    Centre for Perceptual and Interactive Intelligence (CPII)
    Hong Kong
    Postdoctoral Researcher
    Dec. 2025 - present
Selected Publications (view all )
RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation

Zijia Tang*, Ganlong Zhao*, Xingping Chen, Junye Chen, Zihao Mo, Zedi Wang, Guanbin Li (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS), Evaluations & Datasets track 2026

RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation

Zijia Tang*, Ganlong Zhao*, Xingping Chen, Junye Chen, Zihao Mo, Zedi Wang, Guanbin Li (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS), Evaluations & Datasets track 2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning*, Ganlong Zhao*, Yipeng Qin, Si Liu, Yang Liu, Liang Lin, Guanbin Li (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning*, Ganlong Zhao*, Yipeng Qin, Si Liu, Yang Liu, Liang Lin, Guanbin Li (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation

Ganlong Zhao, Zijia Tang, Xingping Chen, Zhanghui Kuang, Ye Tian, Guanbin Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation

Ganlong Zhao, Zijia Tang, Xingping Chen, Zhanghui Kuang, Ye Tian, Guanbin Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

Hao Li*, Ganlong Zhao*#, Yufei Liu*, Haotian Hou*, Guoquan Ye, Tongyan Fang, Chunxiao Liu, Siyuan Huang#, Jianbo Liu, Xiaogang Wang, Hongsheng Li (* equal contribution, # project lead)

Conference on Robot Learning (CoRL) 2026

[Paper] [Code] [Project]

ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

Hao Li*, Ganlong Zhao*#, Yufei Liu*, Haotian Hou*, Guoquan Ye, Tongyan Fang, Chunxiao Liu, Siyuan Huang#, Jianbo Liu, Xiaogang Wang, Hongsheng Li (* equal contribution, # project lead)

Conference on Robot Learning (CoRL) 2026

[Paper] [Code] [Project]

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation

Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation

Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

International Journal of Computer Vision (IJCV) 2024

[Paper]

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

International Journal of Computer Vision (IJCV) 2024

[Paper]

Improved Distribution Matching for Dataset Condensation
Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[Paper] [Code]

Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[Paper] [Code]

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

European Conference on Computer Vision (ECCV) 2022

[Paper] [Code]

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

European Conference on Computer Vision (ECCV) 2022

[Paper] [Code]

Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]

Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]

All publications

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