Yanran Tang

汤嫣然

I am currently a PhD student at The University of Queensland (UQ), supervised by Helen Huang and Xue Li. I obataied my Bachelor of Law (LL.B.)⚖️ and Master of Law (LL.M.)⚖️ degrees in 2018 and 2021 respectively.

My research focuses on artificial intelligence in legal domain, including legal case retrieval and graph neural networks for legal cases etc.

I speak Cantonese, English, and Mandarin.

Talks

  • 06.2024 Give a talk, “Effective Representation Learning for Legal Case Retrieval”, at IR Seminar, The University of Glasgow. [slides]

  • 05.2024 Give a talk, “Effective Representation Learning for Legal Case Retrieval”, at THUIR, Tsinghua University. [slides]

  • 03.2024 Give a talk, “Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs”, at IRonGraphs Workshop at ECIR 2024. [slides]

Publications

Google Scholar page includes the full publication list.

PontTuset CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation
Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang
TOIS 2024 (Under review)
arXiv / code

An edge-updated graph attention layer (EUGAT) and a novel graph contrastive learning objective with graph augmentation are proposed to enhance the legal comprehension capabilities of CaseGNN++ model.

PontTuset CaseLink: Inductive Graph Learning for Legal Case Retrieval
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, and Zi Huang
SIGIR 2024
arXiv / code

An inductive graph learning paradigm for legal case retrieval is proposed to tackle the challenge of unseen testing query and candidate cases.

PontTuset CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang
ECIR 2024
arXiv / code

A structural modelling of law case with GNN for effective retrieval is introduced.

PontTuset Prompt-based Effective Input Reformulation for Legal Case Retrieval
Yanran Tang, Ruihong Qiu, Xue Li
ADC 2023
arXiv / code

An effective legal case retriver that focus on legal feature alignment with the aid of LM prompting and LLM summarisation is introduced.

Honors and Awards

  • Student Support Grants, ECIR 2024
  • Third Prize in Task 1: Legal Case Retrieval, Competition on Legal Information Extraction/Entailment (COLIEE) 2023
  • Third Prize in Legal Case Retrieval Track, Competition of Challenge of AI in Law (CAIL) 2023
  • Gold CIRES-ADC Travel Grant, CIRES PhD School and the Australasian Database Conference (ADC) 2023
  • UQ Graduate School Scholarship, Graduate School, The University of Queensland (2023-2026)
  • SCUT Graduate Scholarship, School of Law, South China University of Technology (2018-2021)

Updated on 18/6/2024.