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吴贺丰

职称：副教授

基本信息

吴贺丰，副教授，硕士生导师。

电子邮箱：wuhefeng@mail.sysu.edu.cn

 

教师简介

吴贺丰，中山大学副教授。本科和博士就读于中山大学，获计算机科学与技术专业学士和博士学位。主要致力于视觉理解、多模态学习、生成式模型、具身智能、智能体交互等人工智能领域的科学研究与应用实践，在IEEE T-PAMI、CVPR、AAAI等国际重要期刊和会议上发表论文60余篇，获授权10余项中国发明专利，出版专著1本。主持科研项目十余项，包括国家重点项目课题、2项国家自然科学基金面上项目等。获得广东省计算机学会优秀论文奖一等奖、国际顶会ACL杰出论文奖、广东省科技进步奖一等奖、广州市珠江科技新星等荣誉。

 

研究方向

计算机视觉、机器学习、人工智能、多模态学习、生成式模型、具身智能、智能体交互

 

招生专业

计算机科学与技术、电子信息

 

科研项目

  • 国家自然科学基金面上项目，主持，2023-2026. 
  • 广东省自然科学基金面上项目，主持，2023-2025.
  • 国家自然科学基金面上项目，主持，2019-2022.
  • 广州市创新环境建设计划项目，主持，2019-2021.
  • 国家重点研发计划项目，参与，项目骨干，2018-2021. 

 

 

代表性论文

  • Haijing Liu, Tao Pu, Hefeng Wu*, Keze Wang, Feng Gao, Fan Yang, Guanbin Li. Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition. IEEE Transactions on Multimedia, 2026.
  • Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin. SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. IEEE Transactions on Image Processing, 2025.
  • Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin. MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 11442-11460, 2025. (Outstanding Paper Award)
  • Haijing Liu, Zhiyuan Song, Hefeng Wu*, Tao Pu, Keze Wang, Liang Lin*. Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention. Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. 
  • Haijing Liu, Tao Pu, Hefeng Wu*, Keze Wang, Liang Lin*. DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition. ACM International Conference on Multimedia (ACM MM), 4708-4717, 2025. 
  • Kaidong Zhang, Rongtao Xu, Pengzhen Ren, Junfan Lin, Hefeng Wu, Liang Lin, Xiaodan Liang. RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation. IEEE International Conference on Computer Vision (ICCV), 2025.
  • Tao Tang, Likui Zhang, Youpeng Wen, Kaidong Zhang, Jia-Wang Bian, Xia Zhou, Tianyi Yan, Kun Zhan, Peng Jia, Hefeng Wu, Liang Lin, Xiaodan Liang. RoboPearls: Editable Video Simulation for Robot Manipulation. IEEE International Conference on Computer Vision (ICCV), 2025.
  • Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin. Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition. IEEE Transactions on Multimedia, 2024.
  • Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin. Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. IEEE Transactions on Image Processing, 2024. 
  • Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin. Improving Network Interpretability via Explanation Consistency Evaluation. IEEE Transactions on Multimedia, 2024. 
  • Tao Pu, Qianru Lao, Hefeng Wu*, Tianshui Chen, Ling Tian, Jie Liu, Liang Lin. Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels. IEEE Transactions on Multimedia, 2024. 
  • Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin. Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search. IEEE Transactions on Circuits and Systems for Video Technology, 2023. 
  • Tianshui Chen, Tao Pu, Hefeng Wu*, Yuan Xie, Lingbo Liu, Liang Lin. Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12): 9887-9903, 2022. 
  • Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu. Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3): 1371-1384, 2022.
  • Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin. Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction. IEEE Transactions on Intelligent Transportation Systems, 23(4): 3377-3391, 2022.
  • Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin. Fine-Grained Image Captioning with Global-Local Discriminative Objective. IEEE Transactions on Multimedia, 23: 2413-2427, 2021.