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Zhi Gao (高志)

PostDoctoral Research Fellow
Peking University
zhi.gao@pku.edu.cn


About Me

I am a postdoctoral research fellow at the School of Intelligence Science and Technology, Peking University (北京大学智能学院), working with Prof. Song-Chun Zhu. Now, I am also a researcher at the machine learning lab at Beijing Institute for General Artificial Intelligence (BIGAI, 北京通用人工智能研究院).

We are recruiting interns and full-time staff.

E-mail: zhi.gao@pku.edu.cn, zhi.gao@bit.edu.cn, and gaozhi_2017@126.com

Education

I received my B.S. degree in computer science from the Beijing Institute of Technology (BIT), Beijing, China, in 2017.

I received my Ph.D. degree in computer science from the Beijing Institute of Technology (BIT), Beijing, China, in 2023, under the supervision of Prof. Yuwei Wu and Prof. Yunde Jia.

Research Interests

Publications

  1. CVIU
    Large-Scale Riemannian Meta-Optimization via Subspace Adaptation
    Peilin Yu, Yuwei Wu+, Zhi Gao+, Xiaomeng Fan, Yunde Jia (+Corresponding Author)
    Computer Vision and Image Understanding(CVIU), 2025
    PDF

  2. ICLR
    Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
    Zhi Gao*, Bofei Zhang*, Pengxiang Li*, Xiaojian Ma, Yue Fan, Tao Yuan, Yuwei Wu,Yunde Jia, Song-Chun Zhu, Qing Li (*Co-first author)
    International Conference on Learning Representations (ICLR), 2025
    PDF Code Project Page

  3. ICLR
    MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
    Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li
    International Conference on Learning Representations (ICLR), 2025
    PDF

  4. NeurIPS
    FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
    Pengxiang Li*, Zhi Gao*, Bofei Zhang*, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li (*Co-first author)
    Advances in Neural Information Processing Systems (NeurIPS), D&B Track, 2024
    PDF Code Project Page

  5. 计算机学报
    混合曲率空间中的几何自适应元学习方法
    高志, 武玉伟, 贾云得
    计算机学报, 2024.
    PDF

  6. ECCV
    VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
    Yue Fan*, Xiaojian Ma*, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li
    European Conference on Computer Vision (ECCV), 2024
    PDF Code Project Page

  7. CVPR
    CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
    Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    PDF Code Project Page

  8. CVPR
    Exploring Data Geometry for Continual Learning
    Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    PDF

  9. CVPR
    Meta-causal Learning for Single Domain Generalization
    Jin Chen*, Zhi Gao*, Xinxiao Wu, Jiebo Luo (*Co-first author)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code

  10. T-PAMI
    Learning to Optimize on Riemannian Manifolds
    Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
    PDF Code

  11. T-PAMI
    Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data
    Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
    PDF Code

  12. NeurIPS
    Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
    Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia
    Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF Code

  13. AAAI
    Efficient Riemannian Meta-Optimization by Implicit Differentiation
    Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi
    AAAI Conference on Artificial Intelligence (AAAI), 2022
    PDF Code

  14. ICCV
    Curvature Generation in Hyperbolic Spaces for Few-Shot Learning
    Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
    IEEE InternationalConference on Computer Vision (ICCV), 2021
    PDF Code

  15. AAAI
    Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
    Xiaomeng Fan*, Zhi Gao*, Yuwei Wu, Yunde Jia, Mehrtash Harandi (*Co-first author)
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    PDF Code

  16. CVPR
    A Hyperbolic-to-Hyperbolic Graph Convolutional Network
    Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    PDF Code

  17. PR
    Infinite-dimensional Feature Aggregation via a Factorized Bilinear Model
    Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia
    Pattern Recognition (PR), 2021
    PDF

  18. CVPR
    Learning to Optimize on SPD Manifolds
    Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    PDF Code

  19. AAAI
    Revisiting Bilinear Pooling: A Coding Perspective
    Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    PDF Code

  20. T-NNLS
    A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
    Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia
    IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019
    PDF Code

  21. PR
    Learning a robust representation via a deep network on symmetric positive definite manifolds
    Zhi Gao, Yuwei Wu, Xingyuan Bu, Tan Yu, Junsong Yuan, Yunde Jia
    Pattern Recognition (PR), 2021
    PDF Code

  22. PR
    Deep convolutional network with locality and sparsity constraints for texture classification
    Xingyuan Bu, Yuwei Wu, Zhi Gao, Yunde Jia
    Pattern Recognition (PR), 2021
    PDF

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