I am a year 3 PhD candidate in computer science at the City University of Hong Kong under the supervision of Dr. Linqi Song, where I work on recommender systems and large language models. Prior to that, I obtained the BEng in Information Engineering and MSc in Computer Science from City University of Hong Kong in 2019 and 2020, respectively.

News

• 04/2024, one paper is accepted by ACM TIST.
• 03/2024, one paper is accepted by WWW 2024.
• 02/2024, one paper is accepted by IEEE JSTSP.
• 01/2024, two papers are accepted by ICLR 2024.
• 12/2023, one paper is accepted by ICASSP 2024.
• 08/2023, one paper is accepted by CIKM 2023.
• 08/2022, two papers are accepted by CIKM 2022.

Publications

• ACM TIST PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
  Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song.
  In ACM Transactions on Intelligent Systems and Technology. 2024. PDF Code
• WWW’24 Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery
  Yuxuan Yao*, Sichun Luo*, Haohan Zhao*, Guanzhi Deng, Linqi Song.
  In Proceedings of the 2024 ACM Web Conference. Resource paper. Oral Presentation. PDF Code
• IEEE JSTSP A Language Model-based Fine-Grained Address Resolution Framework in UAV Delivery System
  Sichun Luo*, Yuxuan Yao*, Haohan Zhao*, Linqi Song.
  In IEEE Journal of Selected Topics in Signal Processing. 2024. PDF
• ICLR’24 Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification
  Aojun Zhou*, Ke Wang*, Zimu Lu*, Weikang Shi*, Sichun Luo*, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li.
  In Proceedings of The Twelfth International Conference on Learning Representations. (Acceptance rate=31%) PDF
• ICLR’24 Mathcoder: Seamless code integration in llms for enhanced mathematical reasoning
  Ke Wang*, Houxing Ren*, Aojun Zhou*, Zimu Lu*, Sichun Luo*, Weikang Shi*, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li.
  In Proceedings of The Twelfth International Conference on Learning Representations. (Acceptance rate=31%) PDF Code
• ICASSP’24 Large Language Models Augmented Rating Prediction in Recommender System.
  Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song.
  In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing. Oral Presentation. PDF Code
• CIKM’23 Improving Long-Tail Item Recommendation with Graph Augmentation
  Sichun Luo, Chen Ma, Yuanzhang Xiao, and Linqi Song.
  In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (Acceptance rate=25%) PDF
• CIKM’22 HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
  Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, and Linqi Song.
  In Proceedings of the 31st ACM International Conference on Information and Knowledge Management. PDF
• CIKM’22 Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation
  Sichun Luo, Yuanzhang Xiao, and Linqi Song.
  In Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Short paper. PDF Code

*Equal Contribution

Experience

• Research Intern, Sensetime Research, Jun 2023 - Dec 2023
• Research Intern, Bytedance AI Lab, Jul 2022 - Nov 2022
• Research Assistant, City University of Hong Kong, Oct 2020 - Apr 2021

Professional Service

• Conference Reviewer: MM’24, KDD’24, SIGIR’24, IJCAI’24, ICME’24
• Journal Reviewer: TORS, EAAI, FI

Teaching Experience

• Teaching Assistant, CS6493 Natural Language Processing (Postgraduate), City University of Hong Kong (Spring 2023, Spring 2024)
• Teaching Assistant, CS1302 Introduction to Computer Programming (Undergraduate), City University of Hong Kong (Spring 2022)
• Teaching Assistant, CS2066 IT Professions and Societies (Undergraduate), City University of Hong Kong (Fall 2021)