Ling-An Zeng Bio Publications Services Awards CV
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Ling-An Zeng 曾令安

Ph.D. student

Sun Yat-sen University

Email: linganzeng@gmail.com

[G o o g l e   Scholar]   

Biography

I'm currently a 4th-year Ph.D. student at Sun Yat-sen University, advised by Prof. Wei-Shi Zheng. My research interests include video understanding and motion understanding and generation. I also have a strong interest in image and video generation .

Previously, I obtained my M.S. degree from Sun Yat-sen University in 2021, advised by Prof. Wei-Shi Zheng. Before that, I obtained my B.E. degree from the University of Electronic Science and Technology of China in 2019.

I'm seeking full-time positions/postdoc/intern starting in 2025. :) Here is my CV.

News

➤ [2025-03] One paper accepted in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

➤ [2025-03] Two papers accepted in ICME 2025.

➤ [2025-02] One paper accepted in CVPR 2025.

➤ [2024-12] One paper accepted in AAAI 2025.

➤ [2024-07] One paper accepted in ECCV 2024.

➤ [2024-05] One paper accepted in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

➤ [2024-04] One paper accepted in IEEE Transactions on Multimedia (TMM).

➤ [2024-02] One paper accepted in IEEE Transactions on Image Processing (TIP). .

➤ [2022-03] One paper accepted in CVPR 2022.

➤ [2020-07] One paper accepted in ACM Multimedia 2020.

Publications

Below are my publications. († Equal contribution; * Corresponding authors.)

PontTuset ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation
Ling-An Zeng†, Guohong Huang†, Yi-Lin Wei, Shengbo Gu, Yu-Ming Tang, Jingke Meng*, Wei-Shi Zheng*.
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
paper / code

ChainHOI: Text-driven human-object interaction generation with explicit joint and kinetic chain modeling for realistic results.

PontTuset Progressive Human Motion Generation Based on Text and Few Motion Frames
Ling-An Zeng, Gaojie Wu, Ancong Wu*, Jian-Fang Hu, Wei-Shi Zheng.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
project / paper / code

Use text and few motion frames to achieve more accurate and controllable human motion generation.

PontTuset Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation
Ling-An Zeng, Guohong Huang, Gaojie Wu, Wei-Shi Zheng*.
AAAI Conference on Artificial Intelligence (AAAI), 2025.
project / paper / code

Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation.

PontTuset Multimodal action quality assessment
Ling-An Zeng, Wei-Shi Zheng*.
IEEE Transactions on Image Processing (TIP), 2024.
paper / code

PAMFN: State-of-the-art action quality assessment via adaptive fusion of RGB, optical flow, and audio.

PontTuset Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng*, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, Jian-Huang Lai.
ACM international conference on multimedia (ACM MM), 2020.
paper / code

ACTION-NET: State-of-the-art action quality assessment in long sports videos using hybrid dynamic-static modeling and attention, introducing the Rhythmic Gymnastics dataset.

PontTuset Efficient Explicit Joint-level Interaction Modeling with Mamba for Text-guided HOI Generation
Guohong Huang†, Ling-An Zeng†, Zexin Zheng, Shengbo Gu, Wei-Shi Zheng*.
IEEE International Conference on Multimedia & Expo (ICME), 2025.
paper / code

EJIM: Efficient Mamba framework enabling explicit joint-level text-guided HOI generation with 5% inference time and superior results.

PontTuset AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance
Yi-Lin Wei†, Mu Lin†, Yuhao Lin, Jian-Jian Jiang, Xiao-Ming Wu, Ling-An Zeng, Wei-Shi Zheng*
arXiv, 2025.
paper

Open-Set Language-guided dexterous grasp based on generalizable-instructive Affordance.

PontTuset EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding
Yuan-Ming Li†, Wei-Jin Huang†, An-Lan Wang†, Ling-An Zeng, Jing-Ke Meng*, Wei-Shi Zheng*
European Conference on Computer Vision (ECCV), 2024.
paper / code

EgoExo-Fitness: Synchronized egocentric and exocentric views for action understanding with action quality annotations.

PontTuset Adaptive Weight Generator for Multi-Task Image Recognition by Task Grouping Prompt
Gaojie Wu, Ling-an Zeng, Jing-Ke Meng*, Wei-Shi Zheng.
IEEE Transactions on Multimedia (TMM), 2024.
paper

TGAW: Efficient multi-task image recognition via prompt-based automatic task grouping.

PontTuset Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Yuan-Ming Li, Ling-An Zeng, Jing-Ke Meng*, Wei-Shi Zheng*.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
paper / code

Continual-AQA: Enabling sequential learning in Action Quality Assessment without forgetting, using innovative rehearsal and graph-based techniques for superior performance.

PontTuset Likert Scoring With Grade Decoupling for Long-Term Action Assessment
Angchi Xu, Ling-An Zeng, Wei-Shi Zheng*.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
paper / code

GDLT: Quantifying performance grades in long-term action quality assessment for state-of-the-art results.

Services and Activities

Journal Reviewer:
Transactions on Machine Learning Research (TMLR)
Transactions on Image Processing (TIP)

Conference Reviewer:
CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, ACM MM, ICME.

Honours and Awards

NeurIPS 2024 Outstanding Reviewer Award, 2024
Meritorious Winner, Mathematical Contest in Modeling, 2018
Gold Medal, ACM Sichuan Province Programming Contest, 2017
Bronze Medal, ICPC-ACM Programming Contest, Shenyang Regional Contest, 2017