Xu Zheng

About Me

I am a Ph.D. candidate in AI Thrust at The Hong Kong University of Science and Technology, Guangzhou campus. I am delighted in working with Xuming Hu @ HKUST and Raymond Chi-Wing Wong @ HKUST. I am a Resident Doctoral Researcher at INSAIT, under the supervision of Prof. Luc Van Gool and Dr. Danda Paudel. Recently, I also collaborate with Linfeng Zhang @ SJTU and Kailun Yang @ HNU. Previously, I worked closely with Addison Lin Wang @ NTU and got 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 multi-modal large models and advanced sensing & perception techniques.

Latest News

2025.04: The first RAG in CV survey released! Code and Paper

2025.04: Our paper accepted to CVPR 2025 @ TMM Open-World as Oral Presentation! Code and Paper

2025.02: Visit INSAIT as a Resident Doctoral Researcher! LinkedIn

2025.01: Successfully passed PhD Qualifying Examination!

2024.12: Invited as an Area Chair of PDLM @ AAAI 2025.

2024.10: One paper accepted to IEEE TPAMI

2024.10: Oral presentation @ ECCV 2024 Oral Session 5A: Segmentation [video]

2024.09: One paper accepted to Pattern Recognition

2024.07: Three papers (one Oral (1.5%)) accepted to ECCV 2024

2024.03: One paper accepted to IEEE CAI 2024

2024.03: One paper accepted to Pattern Recognition

2024.03: Five papers (one Highlight (2.8%)) accepted to CVPR 2024

2024.02: Two papers accepted to ICRA 2024

2023.07: Two papers accepted to ICCV 2023

2023.03: One paper accepted to CVPR 2023

I have honored to mentor the following students / researchers:

Yuanhuiyi Lyu, Ph.D. student @ HKUST(GZ)
Mengzhen Chi, Ph.D. student @ NEU
Chenfei Liao, M.Phil. student @ HKUST(GZ)
Ding Zhong, Master’s student @ Umich
Zihao Dongfang, Research Assistant @ HKUST(GZ)
Ziqiao Weng, Undergraduate student @ SCU
Yulong Guo, Master’s student @ ZJU
Kaiyu Lei, Undergraduate student @ XJTU
Junha Moon (문준하), M.Phil. student @ HKUST(GZ)
Zhenquan Zhang, M.Phil. student @ SCUT
Boyuan Zheng, M.Phil. student @TongJi
Jiahao Zhang, Research Assistant @ HKUST(GZ)
Zhengxuan Jiang, M.Phil. student @ ZJU
Leyi Sheng, Undergraduate student @ HKUST(GZ)

✉️ Welcome to contact me for any discussion and cooperation!

Selected Publications

TPAMI 2024

Xu Zheng, et al., 360sfuda++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes.

PR 2025

Xu Zheng, et al., Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation.

ECCV 2024 (Oral, 1.5%)

Xu Zheng, et al., Learning Modality-Agnostic Representation for Semantic Segmentation.

ECCV 2024

Xu Zheng, et al., Centering the Value of Every Modality: Towards Efficient and Resilient Modality-Agnostic Semantic Segmentation.

CVPR 2024

Xu Zheng, et al., EventDance: Unsupervised Source-Free Cross-Modal Adaptation for Event-Based Object Recognition.

CVPR 2024

Yuanhuiyi Lyu*, Xu Zheng*, et al., UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All.

CVPR 2024

Xu Zheng, et al., Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation.

ICRA 2024

Xu Zheng, et al., Transformer-CNN Cohort: Semi-Supervised Semantic Segmentation by the Best of Both Students.

ICCV 2023

Xu Zheng, et al., Look at the Neighbor: Distortion-Aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.

CVPR 2023

Xu Zheng, et al., Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.

Internships and Working Experiences

[Feb. 2025 ‑ present], Resident Doctoral Researcher, INSAIT, Sofia University
- Supervisor: Luc Van Gool, Danda Paudel
[Oct. 2021 ‑ Oct. 2024], Research Assistant, VLISLAB, HKUST
- Supervisor: Addison Lin Wang
[Aug. 2022 ‑ Sep. 2022], Nagoya University
- Summer Programs

Services

Area Chair: PDLM Workshop @ AAAI 2025
Reviewers: IJCV, TIP, TNNLS, TMM, TCI, Neurocomputing, etc.
PC Members: ICLR (2024,2025), CVPR (2025), ICML (2025), ECCV (2024), NeurIPS (2024), ACM MM (2025), ICRA (2025), ICME (2025)

Honors and Awards

2023.07 Outstanding Master’s Thesis in Liaoning Province / Northeastern University (<1%)
2022.09 National Scholarship of China (<2%)
20-21/22/23.09 First Class Master Scholarship of Northeastern University (<20%)
2019.06 Outstanding Graduate of Liaoning Province / Northeastern University (<2%)