Yilun Liu

According to our database, Yilun Liu authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only.

Yilun Liu, Ruihong Qiu, Zi Huang

CoRR, April, 2026

LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings.

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang

World Wide Web (WWW), March, 2026

2025

PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation.

Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang

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

GCondenser: Benchmarking Graph Condensation.

Yilun Liu, Ruihong Qiu, Zi Huang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation.

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang

CoRR, 2024

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang

Proceedings of the Advances in Information Retrieval, 2024

2023

PUMA: Efficient Continual Graph Learning with Graph Condensation.

Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang

CoRR, 2023

CaT: Balanced Continual Graph Learning with Graph Condensation.

Yilun Liu, Ruihong Qiu, Zi Huang

Proceedings of the IEEE International Conference on Data Mining, 2023