ISE3302: Big Data Analytics and Mining, 2025-

CS4303: Big Data Processing, 2023-

CS4504: Engineering Practice and Technological Innovation IV-G, 2023-

SE3303: Data Mining and Big Data Analytics, 2023-2025

SE125: Machine Learning, 2020-2021

[Google Scholar Profile]

Wenyuan XIE, Shaokai Wu, Yijin Zhou, Yanbiao Ji, Guodong ZHANG, Bayram Bayramli, Qiuchang Li, Xunchu Zhou, Yue Ding, Hongtao Lu: MVP-Nav: Multi-layer Value Map Planner Navigator. RSS 2026. (Accepted)

Yanbiao Ji, Qiuchang Li, Yuting Hu, Shaokai Wu, Wenyuan XIE, Guodong ZHANG, Qichen He, Deyi Ji, Yue Ding, Hongtao Lu: Recovering Hidden Reward in Diffusion-Based Policies. ICML 2026. (Accepted)

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. (Corresponding author)

Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu: How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichet Energy Perspective. NeurIPS 2025. (Corresponding author)

Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu: BECAME: Bayesian Continual Learning with Adaptive Model Merging. ICML 2025. (Corresponding author)

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. (Corresponding author)

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. (Corresponding author)

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.

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.    

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.

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 2025, Pages 1124 - 1134. (Co-corresponding author)

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 Trans. Multim. 27: 3625-3636 (2025)

Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu: BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4314-4330 (2024)

Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding: Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9499-9514 (2024) (Corresponding author)

Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu: Fedhca2: Towards Hetero-Client Federated Multi-Task Learning. CVPR 2024: 5599-5609 (Corresponding author)

Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan: InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR 2024

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: 5442-5453 (Co-corresponding author)

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi: DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. KDD 2024: 5454-5465 (Co-corresponding author)

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: 6103-6112  (Co-corresponding author)

Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin: Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM 2024: 882-890  (Honorable mention award)

Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding: Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM 2023: 643-651 (Co-corresponding author)

Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang: Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM 2021: 382-391

Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding: Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW 2021: 449-459  (Co-corresponding author)

Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose: CFM: Convolutional Factorization Machines for Context-Aware Recommendation. IJCAI 2019: 3926-3932

(1) National Key R&D Program of the Ministry of Science and Technology, Project No. 2020YFB1806704, Research on Deep Integration of ICDT with Data as the Center, Sub-project Leader (Project Participant), 2020-2023

(2) Ministry of Education, CERNET Next Generation Internet Technology Innovation Project, Project No. NGII20190904, Personalized Book Recommendation System for Universities Based on IPv6, Principal Investigator, 2019-2020

(3) Jiushi (Suzhou) Intelligent Technology Co., Ltd., Multimodal Fusion Technology and Model Compression Methods in Autonomous Driving, Principal Investigator, 2025-2026

(4) Shanghai Aerospace Technology Co., Ltd., Automatic Labeling Technology for Satellite Remote Sensing Images Based on Machine Learning, Principal Investigator, 2025-2026

(5) Siemens AG, Research on Machine Learning Algorithms Based on Federated Learning, Principal Investigator, 2022-2023