教师简介

吴贺丰，博士，研究员。本博毕业于中山大学。近5年发表高水平论文30余篇，其中以第一/通讯作者在中科院一区期刊或CCF-A类会议发表论文10余篇，谷歌学术引用两千余次。已主持3项国家自然科学基金项目（1项青年项目和2项面上项目），1项重点项目课题（200万），2项广东省自然科学基金项目，1项广州市科技项目，作为技术骨干参与了1项国家重点研发项目，入选广州市珠江科技新星。

研究领域

计算机视觉, 图像视频分析, 机器学习, 人工智能, 多媒体计算

获奖及荣誉

入选广州市珠江科技新星，2019

科研项目

(1)   国家自然科学基金面上项目，面向开放域视觉理解的少样本推广学习，主持，56万，起止年月：2023-01至2026-12.

(2)   国家自然科学基金面上项目，语言计算驱动的视觉目标检索与跟踪，主持，62万，起止年月：2019-01至2022-12.

(3)   广州市创新环境建设计划珠江科技新星项目，融合文本信息的视觉表达模型研究及应用，主持，起止年月：2019-04至2021-03.

(4)   国家重点研发计划，智慧法院智能化服务技术研究及支撑平台开发-课题三：基于人脸识别的涉案人员智能检索技术及平台，参与，项目骨干，583万，起止年月：2018-07至2021-06.

(5)   国家自然科学基金青年项目，深度相机下基于全局-局部协作模型的视觉目标跟踪研究，主持，26万，起止年月：2015-01至2017-12.

(6)   广东省自然科学基金项目，面向深度相机的视觉目标跟踪研究，主持，10万，起止年月：2014-10至2017-10.

近年代表性论著

(*)表示通讯作者

•  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. 

•  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, 33: 556-568, 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.

•  Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin. Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2091-2098, 2022.

•  Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin. Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 339-346, 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.

•  Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin. Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4823-4833, 2021. 

•  Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin. AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. Proc. of IEEE International Conference on Robotics and Automation (ICRA), 11154-11161, 2021. 

•  Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu*, Guanbin Li, Liang Lin. Knowledge Graph Transfer Network for Few-Shot Recognition. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 10575-10582, 2020. (oral)

•  Lingbo Liu, Jiaqi Chen, Hefeng Wu*, Tianshui Chen, Guanbin Li, Liang Lin. Efficient Crowd Counting via Structured Knowledge Transfer. Proc. ACM International Conference on Multimedia (ACM MM), 2645-2654, 2020.

•  Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin. Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. Proc. ACM International Conference on Multimedia (ACM MM), 1255-1264, 2020. (oral)

•  Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin. Active Object Search. Proc. ACM International Conference on Multimedia (ACM MM), 973-981, 2020. (oral)

•  Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu*, Tianshui Chen, Pei Chen, Liang Lin. Crowd counting via scale-communicative aggregation networks. Neurocomputing, 409: 420-430, 2020.

•  Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng. Instance-aware representation learning and association for online multi-person tracking. Pattern Recognition, 94: 25-34, 2019.

•  Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu*, and Liang Lin. Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Proc. IEEE International Conference on Computer Vision (ICCV), 2019.

•  Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu*. ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3225-3234, 2019.

•  Daiguo Deng, Ruomei Wang, Hefeng Wu*, Huayong He, Qi Li, Xiaonan Luo. Learning deep similarity models with focus ranking for fabric image retrieval. Image and Vision Computing, 70: 11-20, 2018.

•  Ning Liu, Chang Liu, Hefeng Wu*, Hengzheng Zhu, Jin Zhan. Weak-structure-aware visual object tracking with bottom-up and top-down context exploration.  Signal Processing: Image Communication,  68: 169-180,  2018.

•  Hanhui Li, Hefeng Wu, Shujin Lin, Xiaonan Luo. Coupling deep correlation filter and online discriminative learning for visual object tracking. Journal of Computational and Applied Mathematics, 329: 191-201, 2018.

•  Hanhui Li, Hefeng Wu*, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Distortion-Aware Correlation Tracking. IEEE Transactions on Image Processing, 26(11): 5421-5434, 2017.

•  Chengying Gao, Yanmei Luo, Hefeng Wu*, Dong Wang. Data-driven image completion for complex objects. Signal Processing: Image Communication, 57: 21-32, 2017.

•  Hanhui Li, Hefeng Wu, Xiangjian He, Shujin Lin, Ruomei Wang, Xiaonan Luo. Multi-view pairwise relationship learning for sketch based 3D shape retrieval. Proc. IEEE International Conference on Multimedia and Expo (ICME), 1434-1439, 2017.

•  Fei Wang, Shujin Lin, Xiaonan Luo, Hefeng Wu, Ruomei Wang, Fan Zhou. A Data-Driven Approach for Sketch-Based 3D Shape Retrieval via Similar Drawing-Style Recommendation. Computer Graphics Forum, 36(7): 157-166, 2017.

•  Hanhui Li, Hefeng Wu*, Shujin Lin, Liang Lin, Xiaonan Luo, Ebroul Izquierdo. Boosting Zero-Shot Image Classification via Pairwise Relationship Learning. Proc. 13th Asian Conference on Computer Vision (ACCV), 85-99, Nov. 2016. (oral)

•  Fei Wang, Shujin Lin, Hefeng Wu, Ruomei Wang, Xiaonan Luo. Data-driven method for sketch-based 3D shape retrieval based on user similar draw-style recommendation. Proc. SIGGRAPH Asia, Posters, 2016. 

•  Jin Zhan, Hefeng Wu*, Huifang Zhang, Xiaonan Luo. Cascaded Probabilistic Tracking with Supervised Dictionary Learning. Signal Processing: Image Communication, 39: 212-225, 2015.

•  Ning Liu, Hefeng Wu, Liang Lin. Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance. IEEE Transactions on Cybernetics, 45(1): 89-102, 2015.