Scholar
Yicong Li (李逸聪)
Google Scholar ID: a-uKBooAAAAJ
Nanjing University of Aeronautics and Astronautics & PhD@UTS
Citations & Impact
Citations
426
H-index
9
i10-index
9
Publications
18
Co-authors
11
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- First-authored paper 'Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach' accepted by KDD 2024.
- Co-authored paper 'Low-Resource Court Judgment Summarization for Common Law Systems' accepted by Information Processing & Management.
- Thesis 'Towards Graph-based Explainable Recommender Systems' received satisfactory comments.
- Invited to give a talk at the Artificial Intelligence and Future Network Research Institute, Beijing Normal University, Zhuhai.
- First-authored paper 'Attention Is Not the Only Choice: Counterfactual Reasoning for Path-based Explainable Recommendation' accepted by IEEE TKDE.
- Co-authored paper 'An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations' accepted by NeurIPS 2023.
- First-authored paper 'Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation' accepted by IEEE TKDE.
- Co-authored paper 'DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning' accepted by CIKM 2022.
- Co-authored paper 'Unsupervised graph poisoning attack via contrastive loss back-propagation' accepted by WWW2022.
- Tutorial 'Graph Data Mining in Recommender Systems' accepted by WISE 2022.
- First-authored paper 'Hyperbolic hypergraphs for sequential recommendation' accepted by CIKM 2021.
- First-authored paper 'Temporal Meta-path Guided Explainable Recommendation' accepted by WSDM 2021.
- Co-authored paper 'An adversarial feature distillation method for audio classification' accepted by IEEE Access.
- First-authored paper 'A distributed topic model for large-scale streaming text' accepted by KSEM 2019.
Research Experience
- Worked as a Research Assistant at a certain research center.
Education
- July 2020 - July 2024, Ph.D. in Computer Science at the University of Technology Sydney, Supervisors: Prof. Guandong Xu and Dr. Hongxu Chen. Thesis: Towards Graph-based Explainable Recommender Systems.
- September 2022 - April 2024, Visiting Student in the Department of Computing at The Hong Kong Polytechnic University, Advisors: Dr. Yu Yang and Prof. Jiannong Cao.
- September 2017 - December 2019, M.Sc. in Computer Technology at National University of Defense Technology, Supervisors: Prof. Dongsheng Li and A/Prof. Dawei Feng.
- September 2013 - October 2017, B.Sc. in Computer Science and Technology at École supérieure d'Informatique.
- September 2013 - June 2017, B.Sc. in Computer Science and Technology at Hebei University of Technology.
Background
- Research interests include explainable machine learning, fairness, recommender systems, counterfactual learning, and graph neural networks. The current research focus is on graph-based explainable recommender systems.
Miscellany
- Personal interests not mentioned.
