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Xu Zheng

AI Thrust,
Hong Kong University of Science and Technology (HKUST)
zhengxu128@gmail.com


About Me

I am a second year Ph.D. student in AI Thrust at The Hong Kong University of Science and Technology, Guangzhou campus. I am delighted in working with Xuming Hu @ HKUST.

Recently, I also collaborate with Athanasios Vasilakos @ UiA, Peng Yuan Zhou @ AU, Linfeng Zhang @ SJTU, and Kailun Yang @ HNU.

Previously, I worked closely with Addison Lin Wang @ NTU and earned my B.Eng and M.Eng degrees at Northeastern University under the supervision of Chong Fu @ NEU.

I study machine perception, reasoning, and interaction with the physical world, drawing inspiration from human cognition. Lately, I’ve been focusing on unfied multi-modal Learning and advanced sensing & perception techniques.

✉️ Welcome to contact me for any discussion and cooperation!

News

Selected Publications

  1. ECCV 2024
    Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
    Xu Zheng, Yuanhuiyi Lyu, Lin Wang
    The European Conference on Computer Vision (ECCV) Oral (1.5%), 2024.
    Homepage PDF
  2. ECCV 2024
    Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
    Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang
    The European Conference on Computer Vision (ECCV), 2024.
    Homepage PDF
  3. ECCV 2024
    EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
    Jiazhou Zhou, Xu Zheng,Yuanhuiyi Lyu, Lin Wang
    The European Conference on Computer Vision (ECCV), 2024.
    Homepage PDF
  4. CVPR 2024
    EventDance: Unsupervised Cross-modal Source-free Adaptation for Event-based Object Recognition
    Xu Zheng, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  5. CVPR 2024
    Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation
    Xu Zheng, Pengyuan Zhou, Athanasios Vasilakos, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  6. CVPR 2024
    UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
    Yuanhuiyi Lyu*, Xu Zheng*, Jiazhou Zhou, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Homepage PDF
  7. CVPR 2024 Hightlight
    ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
    Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Highlight (2.8%), 2024.
    Homepage PDF
  8. arXiv
    Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
    Yuanhuiyi Lyu, Xu Zheng, Lin Wang
    arXiv (arXiv), 2024.
    Homepage PDF
  9. CVPR 2023
    Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
    Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang
    The IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Homepage PDF
  10. CVPR 2023
    Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
    Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    Homepage PDF
  11. Arxiv 2023
    Deep learning for event-based vision: A comprehensive survey and benchmarks
    Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang
    T-PAMI (Under Review), 2024.
    Homepage PDF
  12. CIBM 2022
    Uncertainty-aware deep co-training for semi-supervised medical image segmentation
    Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham
    Computers in Biology and Medicine.
    Homepage PDF

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