Yicong Li

• University of Technology Sydney (Jul 2020 - Jul 2024)

Ph.D. in Computer Science, Supervisor: Prof. Guandong Xu, Dr. Hongxu Chen.  

Thesis: Towards Graph-based Explainable Recommender Systems          

• The Hong Kong Polytechnic University (Sep 2022 - Apr 2024)             

Visiting Student in the Department of Computing, Advisor: Dr. Yu Yang, Prof. Jiannong Cao.    

• National University of Defense Technology (Sep 2017 - Dec 2019)    

M.Sc. in Computer Technology. Supervisor: Prof. Dongsheng Li     

• École supérieure d'Informatique (Sep 2013 - Oct 2017)

B.Sc. in Computer Science and Technology     

• Hebei University of Technology (Sep 2013 - Jun 2017)    

B.Sc. in Computer Science and Technology          

• Research Assistant
  Centre for Learning, Teaching, and Technology (LTTC), The Education University of Hong Kong.
  Advisor: Prof. Guandong Xu
• Research Assistant     
  Department of Computing, The Hong Kong Polytechnic University.
  Advisor: Dr. Yu Yang, Prof. Jiannong Cao
• Research Assistant     
  School of Computer Science and Artificial Intelligence, Wuhan University of Technology.
  Advisor: Prof. Lin Li     
• Research Assistant     
  Computer Network Information Center, Chinese Academy of Sciences.
  Advisor: Prof. Haiwu He           

* means equal contribution authors     

• Liu, Shuaiqi, Jiannong Cao, Yicong Li, Ruosong Yang, and Zhiyuan Wen.
  Low-resource court judgment summarization for common law systems.
  In Information Processing & Management 61, no. 5 (2024): 103796.
• Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
  Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.
  In ACM SIGKDD 2024.
• Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Guandong Xu
  Attention Is Not the Only Choice: Counterfactual Reasoning for Path-based Explainable Recommendation
  In IEEE Transactions on Knowledge and Data Engineering 2024, doi:10.1109/TKDE.2024.3373608.
• Yicong Li, Hongxu Chen, Yile Li, Lin Li, S. Yu Philip, Guandong Xu
  Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
  In IEEE Transactions on Knowledge and Data Engineering 2023, doi:10.1109/TKDE.2023.3237741.     
• Hongxu Chen*, Yicong Li*, Xiangguo Sun, Guandong Xu, Hongzhi Yin
  Temporal Meta-path Guided Explainable Recommendation
  In ACM WSDM 2021 (Oral Presentation), doi:10.1145/3437963.3441762, citation: 66.         
• Yicong Li*, Hongxu Chen*, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu Hyperbolic Hypergraphs for Sequential Recommendation
  In ACM CIKM 2021 (Poster Presentation), doi:10.1145/3459637.3482351, citation: 30.       
• Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li
  A Distributed Topic Model for Large-scale Streaming Text
  In Springer KSEM 2019 (Oral Presentation), doi:10.1007/978-3-030-29563-9 4.       
• Hongxu Chen, Yicong Li, Haoran Yang
  Graph Data Mining in Recommender Systems
  In Springer WISE 2021 (Tutorial), doi:10.1007/978-3-030-91560-5 36.                   
• Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
  An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
  In NeurIPS 2023 (Poster Presentation).         
• Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
  Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
  In ACM WWW 2022 (Oral Presentation), doi:10.1145/3485447.3512179.    
• Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin
  DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning
  In ACM CIKM 2022 (Oral Presentation), doi:10.1145/3511808.3557280.             
• Liang Gao, Haibo Mi, Boqing Zhu, Dawei Feng, Yicong Li, Yuxing Peng
  An Adversarial Feature Distillation Method for Audio Classification
  In IEEE Access 2019, doi:10.1109/ACCESS.2019.2931656.                

* means equal contribution authors     

• Yicong Li*, Sirui Huang*, Yu Yang, Haoran Yang, Qing Li, Jiannong Cao, Guandong Xu Dynamic-aware Hypergraphs Neural Network for Explainable Sequential Recommendation
  Under Submission in IEEE Transactions on Knowledge and Data Engineering.                   

Program committee:    

• IEEE Conference on Artificial Intelligence (IEEE CAI 2024)
• International Conference on Advanced Data Mining and Applications (ADMA 2023, 2024)
• Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023, 2024)     

Referee for submissions to journals:     

• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Neural Networks and Learning Systems
• ACM Transactions on Knowledge Discovery from Data
• IEEE Transactions on Computational Social Systems
• Information Processing & Management
• World Wide Web Journal
• Information Sciences
• NLP Journal     

Reviewer for submissions to conferences:     

• SIGKDD, WWW, CIKM, SIGKDD, SIGIR, DASFFA, RecSys