Ding, Yue

8 publications

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

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

NeurIPS 2025 How Does Topology Bias Distort Message Passing in Graph Recommender? a Dirichlet Energy Perspective Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu

NeurIPS 2025 Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations Yuhao Yang, Zhi Ji, Zhaopeng Li, Yi Li, Zhonglin Mo, Yue Ding, Kai Chen, Zijian Zhang, Jie Li, Shuanglong Li, Liu Lin

CVPR 2024 FedHCA2: Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu

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

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

ACML 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems Jie Liu, Dong Wang, Yue Ding