2026美加墨世界杯(FIFA World Cup 2026)

个人简介

卢宏涛，2026美加墨世界杯官方网计算机系长聘教授，博士生导师。研究方向为人工智能，包括机器学习、深度学习和计算机视觉等。在国际知名学术期刊和国际顶级学术会议上发表论文100余篇，Google Scholar引用超过10600余次，H-index 54。先后主持国家863、国家自然科学基金、教育部博士点基金、上海市科委和上海市曙光计划等10多项项目。连续入选2014-2018年Elsevier计算机科学中国高被引学者榜单。入选斯坦福大学发布的全球前2%顶尖科学家榜单。入选2005年度教育部新世纪优秀人才计划，2003年获上海市曙光学者称号。2010年获上海市自然学二等奖，2015年获河南省科技进步二等奖。

教育背景

(1) 1993-09 至 1997-01, 东南大学, 信息与信号处理, 博士

(2) 1987-09 至 1990-07, 四川师范大学, 数学, 硕士

(3) 1983-09 至 1987-07, 四川师范大学, 数学, 学士

工作履历

（1）2025.06至今，2026美加墨世界杯官方网，2026美加墨世界杯官方网，长聘教授

（2）2016.08-2025.05，2026美加墨世界杯官方网，电子信息与电气工程公司计算机系，长聘教授

（3）2001-08-2016.07, 2026美加墨世界杯官方网, 电子信息与电气工程公司计算机系, 教授

（4）1999-01 至 2001-07, 2026美加墨世界杯官方网, 电子信息与电气工程公司计算机系, 副教授

（5）1990-07 至 1993-08, 云南楚雄师范专科公司, 数学系工作

教授课程

研究生课程，图像处理与机器视觉，每年秋季
本科生课程，计算机视觉（强化）

论文发表

期刊论文：

1. Huayi Zhou, Fei Jiang, Hongtao Lu, Kui Jia. Semi-Supervised Unconstrained Head Pose Estimation in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. （领域顶刊，CCF A）

2. Deyi Ji, Feng Zhao, Hongtao Lu, Feng Wu, Jieping Ye. Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. （领域顶刊，CCF A）

3. Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu. Learning Auxiliary Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting. IEEE Transactions on Multimedia, 2024. （CCF B 期刊）

4. Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu. BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.46, No.6, pp.4314-4330, June 2024. （领域顶刊，CCF A）

5. Shalayiding Sirejiding，Yuxiang Lu，Hongtao Lu，Yue Ding. Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. IEEE Transactions on Circuits and Systems for Video Technology，2024. （CCF B 期刊）

6. Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu. Prompt Guided Transformer for Multi-Task Dense Prediction. IEEE Transactions on Multimedia, 2024，vol.17: 1 11. （CCF B 期刊，Google引用17次）

7. Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu. TFUT: Task Fusion Upward Transformer Model for Multi-Task Learning on Dense Prediction. Computer Vision and Image Understanding, 244(2024) 104014. (CCF B 期刊)

8. Zhaozhi Xie , Weihao Jiang, Yuwen Yang and Hongtao Lu. Superpixel Guided Network for Weakly Supervised Semantic Segmentation. IEEE SIGNAL PROCESSING LETTERS, VOL. 31, pp.2885-2889, 2024.

9. Haiyan Li, Xingfei Hu, Hongtao Lu. T. Skeleton: Accurate scene text detection via instance-aware skeleton embedding. IET Image Processing. 2024.18(6). pp:1491-1503. (CCF C)

10. Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu. Spammer detection on short video applications. Pattern Recognition Letters 177 (2024) 61–68.

11. Bayram Bayramli, Junhwa Hur and Hongtao Lu. RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer. IJCV, 131: 2757-2769，2023. （Google引用13次）

12. Qinchuan Zhang, Yi Jiang, Qin Zhou, Yiru Zhao, Yao Liu, Hongtao Lu, and Xian-Sheng Hua. Single Person Dense Pose Estimation via Geometric Equivariance Consistency. IEEE Transactions on Multimedia, vol,572-583，2023. (CCF B期刊)

13. Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu. Trimap-guided feature mining and fusion network for natural image matting. Computer Vision and Image Understanding 230 (2023) 103645.

14. Huayi Zhou, Fei Jiang, Hongtao Lu. SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection. Computer Vision and Image Understanding, 229(2023)103649.

15. Jiaming Luo, Yongzhe Tang, Jie Wang, Hongtao Lu. USMLP: U-shaped Sparse-MLP network for mass segmentation in mammograms. Image and Vision Computing 137 (2023) 104761.

16. Haiyan Li, Yangsong Zhang, Bayram Bayramli, Hongtao Lu. Arbitrary shape scene text detector with accurate text instance generation based on instance-relevant contexts. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-13897-7，2022.

17. Zijun Zhuang, Hongtao Lu. ULN: An efficient face recognition method for person wearing a mask. Multimedia Tools and Applications. 2022.

18. Dafeng Wei, Ye Tian, Liqing Wei, Hong Zhong, Siqian Chen, Shiliang Pu, Hongtao Lu. Efficient dual attention SlowFast networks for video action recognition. CVIU 2022. (CCF B类期刊，Google引用35次)

19. Tamam Alsarhan, Usman Ali, Hongtao Lu. Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition. Computer Vision and Image Understanding, 216(2022)103348. （CCF B期刊）

20. Yaoyi Li, Hongtao Lu. Multi-Modal Constraint Propagation via Compatible Conditional Distribution Reconstruction. Neurocomputing, 426 (2021) 185-194.

21. Jiaxin Si, Fei Jiang, Ruimin Shen, Hongtao Lu. Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture. Computer Vision and Image Understanding, 203(2021)103125. （CCF B期刊）

22. Usman Ali, Bayram Bayramli, Tamam Alsarhan, Hongtao Lu. A lightweight network for monocular depth estimation with decoupled body and edge supervision. Image and Vision Computing, 113 (2021) 104261.

23. Luay Alawneh, Tamam Alsarhan, Mohammad Al‑Zinati, Mahmoud Al‑Ayyoub, Yaser Jararweh, Hongtao Lu. Enhancing human activity recognition using deep learning and time series augmented data. Journal of Ambient Intelligence and Humanized Computing (2021) 12:10565–10580. https://doi.org/10.1007/s12652-020-02865-4

24. Yiru Zhao, Hongtao Lu. Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification. Neurocomputing, 388 (2020) 246-254.

会议论文：

2025

1. Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu. How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective. NeurIPS, 2025.

2. Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang. Few-shot implicit function generation via equivariance. CVPR, 2025.

3. Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu. BECAME:BayEsian Continual Learning with Adaptive Model Merging. ICML, 2025.

4. Shaokai Wu, Yuxiang Lu, Yapan Guo, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu. Discretized Gaussian Representation for Tomographic Reconstruction. ICCV 2025.

5. Shalayiding Sirejiding, Yue Ding, Yuxiang Lu, Xinyi Hou, Shaokai Wu, Qichen He, Chunlin Wang, Wenqiang Guo, Hongtao Lu. CLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction. ACM Multimedia 2025.

6. Yanbiao Ji, Dan Luo, Chang Liu, Shaokai Wu, Jing Tong, Qichen He, Deyi Ji, Hongtao Lu, Yue Ding. Generating Negative Samples for Multi-Modal Recommendation. ACM Multimedia 2025.

7. Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu. MORE: Multi-Organ Medical Image REconstruction Dataset. ACM Multimedia 2025.

8. Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu. From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CIKM’25, 2025.

9. Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu. Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. WSDM 2025.

资助项目

国家自然科学基金面上项目: 面向多任务图像编辑的轻量级深度神经网络研究，No. 62176155, 2022.01-2025.12, 主持。
国家自然科学基金面上项目：深度神经网络压缩及其应用研究,No.61772330,2018.01-2021.12，主持。

获奖信息

1. 上海市自然科学奖二等奖，2010年，排名1

学术服务

中国图像图形学报编委

数据采集语处理编委

IEEE PRML的Technical committee

ICLR会议的程序委员会成员

IEEE CVPR会议的程序委员会成员

AAAI会议的程序委员会成员

ACM SIGIR会议的程序委员会成员

ACM SIGIR-AP会议的程序委员会成员

ACM CIKM会议的程序委员会成员

ACM Web Conference (WWW)程序委员会成员