Yuan Jiang

According to our database, Yuan Jiang authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Flexible Diffusion Convolution for Graph Neural Networks.

Songwei Zhao, Bo Yu, Kang Yang, Sinuo Zhang, Jifeng Hu, Yuan Jiang, Philip S. Yu, Hechang Chen

IEEE Trans. Knowl. Data Eng., June, 2025

Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.

Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang

Proceedings of the ACM on Web Conference 2025, 2025

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.

Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs.

Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming.

Yuan Jiang, Zhiguang Cao, Jie Zhang

IEEE Trans. Cybern., May, 2023

Multi-view graph contrastive learning for solving vehicle routing problems.

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning to Solve Routing Problems via Distributionally Robust Optimization.

Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning.

Yuan Jiang, Zhiguang Cao, Jie Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2018

Deep social collaborative filtering by trust.

Yuan Jiang, Hechang Chen, Bo Yang

Proceedings of 2018 International Conference on Big Data Technologies, 2018