Shuming Liang

According to our database, Shuming Liang authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods.

Shuming Liang, Yu Ding, Zhidong Li, Bin Liang, Siqi Zhang, Yang Wang, Fang Chen

IEEE Trans. Big Data, February, 2026

2024

VAGNN: Advancing the Generalization of Graph Neural Networks.

Shuming Liang, Yu Ding, Bin Liang, Zhidong Li, Siqi Zhang, Yang Wang, Fang Chen

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2022

Domain Generalization by Learning and Removing Domain-specific Features.

Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.

Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Data Driven Approach for Leak Detection with Smart Sensors.

Bin Liang, Sunny Verma, Jie Xu, Shuming Liang, Zhidong Li, Yang Wang, Fang Chen

Proceedings of the 16th International Conference on Control, 2020