1993.09 - 1997.01, I got my Ph.D degree at the department of radio engineering, Southeast university, Nanjing, China, major in information and signal processing.

1987.09 – 1990.07, I got my Master degree in mathematics at the department of mathematics, Sichuan normal university, Chengdu, China.

1983.09-1987.07, I got my Bachelor degree in mathematics at the department of mathematics, Sichuan normal university, Chengdu, China.

2001.05 – present, professor, school of computer science (former department of computer science) , Shanghai Jiao Tong University, Shanghai, China.

1999.01-2001.04, associate professor, department of computer science, Shanghai Jiao Tong University, Shanghai, China.

1997.01-1999.01, postdoctoral fellow, department of computer, Fudan university, Shanghai, China

1.       Image processing and machine vision (CS7303), graduate course, fall semester;

2.       Computer vison (CS3336), undergraduate course, spring semester.

1.       Huayi Zhou, Fei Jiang, Jin Yuan, Yong Rui, Hongtao Lu, Kui Jia. Semi-Supervised Unconstrained Head Pose Estimation in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 3082-3099，2026.

2.       Deyi Ji, Lanyun Zhu, Siqi Gao, Qi Zhu, Yiru Zhao, Peng Xu, Yue Ding, Hongtao Lu,  Jieping Ye, Feng Wu, Feng Zhao. View-Centric Multi-object Tracking With Homographic Matching in Moving UAV. IEEE Transactions on Geoscience and Remote Sensing, vol. 64, 2026.

3.       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.

4.       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, VOL. 27, pp.3625-3636, 2025.

5.       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.

6.       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.

7.       Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu. Prompt Guided Transformer for Multi-Task Dense Prediction. IEEE Transactions on Multimedia, 2024，vol.26, no.1: 6375-6385. （Google citations 17）

8.       Bayram Bayramli, Junhwa Hur and Hongtao Lu. RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer. IJCV, 131: 2757-2769，2023.

9.       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.

10.    Shaokai Wu, Yanbiao Ji, Qiuchang Li, Zhiyi Zhang, Qichen He, Wenyuan Xie, Guodong Zhang, Bayram Bayramli, Yue Ding, Hongtao Lu. Dejavu: Towards Experience Feedback Learning for Embodied Intelligence. CVPR, 2026.

11.    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.

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

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

14.     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.

15.     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.

16.     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.

17.     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.

18.     Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding , Yue Ding, Hongtao Lu. FEDHCA2: Towards Hetero-Client Federated Multi-Task Learning. CVPR 2024.

19.     Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding. Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation. ACM Multimedia, 2024.

20.     Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu. Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. KDD, 2024.

NSFC project: Light deep neural networks for multi-task image editing, 2022.01-2025.12.

1.       ICME 2023 best student paper runner up: “Body-part Joint Detection and Association via Extended Object Representation”, Huayi Zhou, Fei Jiang, Hongtao Lu.

2.       CAISSE 2012 best paper: “Automated Defect Classification with Bag of Words model and SVM-based Adaboost”, Lei Huang, Hongtao Lu, Tao Chen, Wei Huang.

3.       ACCV 2009 best paper: “Pose estimation based on manifold embedding and distance metric learning”, Xiangyang Liu, Hongtao Lu, Daqiang Zhang.

Editor board member: Data acquisition and processing.

Editor board member: Journal of Chinese graphics and image