Publications

Google Scholar page includes the full publication list.

2026

Yilun Liu, Boyu Luo, Yanran Tang, Ruihong Qiu, Zi Huang, Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation, in Empirical Methods in Natural Language Processing (EMNLP) 2026, (CORE A*, Main)

Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang, Cassette: Case-to-Case Structural Distillation for Efficient Legal Case Retrieval, in Transactions on Information Systems (TOIS) (Q1)

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang, LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings, in World Wide Web Journal (WWWJ) (Q1)

2025

Yanran Tang, Ruihong Qiu, Xue Li, Zi Huang, ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMs, in Australasian Database Conference (ADC) 2025

Yanran Tang, Ruihong Qiu, Zi Huang, UQLegalAI@COLIEE2025: Advancing legal case retrieval with large language models and graph neural networks, in COLIEE2025 workshop in the International Conference on Artificial Intelligence and Law (ICAIL) 2025

Chenzhi Liu, Mahsa Baktashmotlagh, Yanran Tang, Zi Huang, Ruihong Qiu, ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation, in The British Machine Vision Conference (BMVC) 2025 (CORE A, Oral)

2024

Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li and Zi Huang, CaseLink: Inductive Graph Learning for Legal Case Retrieval, in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2024 (CORE A*)

Yilun Liu, Ruihong Qiu, Yanran Tang, Zi Huang, Hongzhi Yin, PUMA: Efficient Continual Graph Learning with Graph Condensation, in IEEE Transactions on Knowledge and Data Engineering (TKDE) (Q1)

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li and Zi Huang, CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs, in European Conference on Information Retrieval (ECIR) 2024 (CORE A)

2023

Yanran Tang, Ruihong Qiu, Xue Li, Prompt-based Effective Input Reformulation for Legal Case Retrieval, in Australasian Database Conference (ADC) 2023