Ling WANG

Research Intern @ Qwen, Alibaba
DSAI Department,
Hong Kong Polytechnic University

No.8, AG415, Chung Sze Yuen Building,

Hung Hom, Kowloon, Hong Kong

About Me

I am Ling WANG (王凌), a Ph.D. student in Data Science and Artificial Intelligence at Hong Kong Polytechnic University since January 2026, where I am honored to be supervised by Prof. Jibin Wu.

I got my M.Phil degree in AI Thrust of Information Hub from Hong Kong University of Science and Technology, Guangzhou campus, where I was honored to be advised by Prof. Hui Xiong and Prof. Lei Zhu. During my early studies, I was also mentored by Prof. Lin Wang (later joined NTU, Singapore). I was also fortunate to work with Dr. Xiangyu Chen.

I got my B.Eng degree in School of Computer Science and Technology, Tongji University, where I was privileged to be advised by Prof. Wei Tian at IIV @ School of Automotive Studies, Tongji University.

I build models that can see, reason, and act.

News

2026.02 Hope to contribute through impactful work! ✨
2026.02 Two papers accepted to CVPR 2026. 🎉
2026.01 Joined Qwen-Omni Team @ Alibaba as a Research Intern! 🎉
2026.01 One paper accepted to IEEE Trans. Multimedia (TMM). 🎉
2025.11 One paper accepted to IEEE Trans. Circuits Syst. Video Technol. (TCSVT). 🎉
2025.10 One Benchmark TeleEgo has beeen released. 🎉
2025.02 One paper accepted to IEEE Signal Processing Letters (SPL). 🎉
2025.01 One paper accepted to ICRA 2025 as Oral Presentation. 🎉
2024.10 One paper accepted to WACV 2025. 🎉

Selected Publications

CVPR 2026

From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing

Ling Wang^†, Yunfan Lu^†, Wenzong Ma, Huizai Yao, Pengteng Li, Hui Xiong*

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

PDF Code Poster Page
CVPR 2026

Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration

Chen Wu, Ling Wang, Zhuoran Zheng, Yuning Cui, Zhixiong Yang, Xiangyu Chen, Yue Zhang, Weidong Jiang, Jingyuan Xia*

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

PDF Code Poster
ICRA 2025

DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring

Ling Wang, Chen Wu, Lin Wang*

IEEE International Conference on Robotics and Automation (ICRA) , 2025.

PDF Code Demo Oral Presentation
TMM 2026

BrainDreamer: Towards Reasoning-Coherent and Controllable Image Reconstruction from EEG Brain Signals via Language Guidance

Ling Wang^†, Chen Wu^†, Lin Wang*

IEEE Transactions on Multimedia (TMM) , Jan. 2026.

Link
TCSVT 2025

Ultra-High-Definition Image Restoration via High Frequency Enhanced Transformer

Chen Wu, Ling Wang, Zhuoran Zheng, Weidong Jiang, Yuning Cui* and Jingyuan Xia

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , Nov. 2025.

PDF Code
Dataset

EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More

Xu Zheng^†, Ling Wang^†, Kanghao Chen, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang*

arXiv, Jul. 2024.

PDF Code Dataset Page
Benchmark

TeleEgo: Benchmarking Egocentric AI Assistants in the Wild

Jiaqi Yan^†, Ruilong Ren^†, Jingren Liu^†, Shuning Xu, Ling Wang, ..., Xiangyu Chen, Changzhi Sun, Jixiang Luo, Dell Zhang*, Hao Sun, Chi Zhang, Xuelong Li*

arXiv, Oct. 2025.

PDF Code Page
WACV 2025

Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration

Chen Wu, Ling Wang, Long Peng, Dianjie Lu, Zhuoran Zheng*

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2025.

PDF Code
IEEE SPL 2025

Adaptive Feature Selection Modulation Network for Efficient Image Super-Resolution

Chen Wu, Ling Wang, Xin Su, Zhuoran Zheng*

IEEE Signal Processing Letters (SPL), 2025.

PDF Code
Survey · AI Flow 2025

Towards training-free long video understanding: methods, benchmarks, and open challenges

Jingren Liu, Yun Wang, Long Zhang, Yiheng Wang, Shuning Xu, Ling Wang, Jiaqi Yan, Dell Zhang & Xiangyu Chen*

AI Flow (Vicinagearth), 2025.

Survey