Deep social collaborative filtering by trust. - Yuan Jiang 007; Hechang Chen; Bo Yang 002 (ICBDT, 2018)

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. - Yuan Jiang 007; Zhiguang Cao; Jie Zhang 002 (AAMAS, 2021)

Learning to Solve Routing Problems via Distributionally Robust Optimization. - Yuan Jiang 007; Yaoxin Wu; Zhiguang Cao; Jie Zhang 002 (AAAI, 2022)

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002 (NeurIPS, 2023)

Multi-view graph contrastive learning for solving vehicle routing problems. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (UAI, 2023)

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. - Yuan Jiang 007; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Cybern., 2023)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. - Songwei Zhao; Yuan Jiang 007; Zijing Zhang; Yang Yu; Hechang Chen (AAAI, 2025)

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem. - Mingzhao Wang; You Zhou 008; Zhiguang Cao; Yubin Xiao; Xuan Wu 004; Wei Pang 001; Yuan Jiang 007; Hui Yang 015; Peng Zhao; Yuanshu Li (KDD (1), 2025)

Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning. - Peng Zhao; You Zhou 008; Di Wang 004; Zhiguang Cao; Yubin Xiao; Xuan Wu 004; Yuanshu Li; Hongjia Liu; Wei Du 002; Yuan Jiang 007; Liupu Wang (WWW, 2025)

A Flexible Diffusion Convolution for Graph Neural Networks. - Songwei Zhao; Bo Yu 013; Kang Yang; Sinuo Zhang; Jifeng Hu; Yuan Jiang 007; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)