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2026 Other Outputs Structure-aware legal case retrievalTang, Yanran (2026). Structure-aware legal case retrieval. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/9cd51d0 |
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2026 Journal Article Cassette: case-to-case structural distillation for efficient legal case retrievalTang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2026). Cassette: case-to-case structural distillation for efficient legal case retrieval. ACM Transactions on Information Systems, 44 (5) 3816732, 1-27. doi: 10.1145/3816732 |
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2026 Journal Article LEXA: legal case retrieval via graph contrastive learning with contextualised LLM embeddingsTang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2026). LEXA: legal case retrieval via graph contrastive learning with contextualised LLM embeddings. World Wide Web, 29 (2) 20, 1-30. doi: 10.1007/s11280-026-01407-w |
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2026 Conference Publication ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMsTang, Yanran, Qiu, Ruihong, Li, Xue and Huang, Zi (2026). ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs. 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, 4-6 December 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-981-95-6196-4_22 |
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2025 Journal Article PUMA: efficient continual graph learning for node classification with graph condensationLiu, Yilun, Qiu, Ruihong, Tang, Yanran, Yin, Hongzhi and Huang, Zi (2025). PUMA: efficient continual graph learning for node classification with graph condensation. IEEE Transactions on Knowledge and Data Engineering, 37 (1), 449-461. doi: 10.1109/tkde.2024.3485691 |
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2024 Conference Publication CaseLink: inductive graph learning for legal case retrievalTang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693 |
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2024 Conference Publication CaseGNN: graph neural networks for legal case retrieval with text-attributed graphsTang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6 |
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2023 Conference Publication Prompt-based effective input reformulation for legal case retrievalTang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7 |
