Liangcai Su (苏良才) Computer Technology, Master Student Tsinghua University Email: sulc21@mails.tsinghua.edu.cn [Google Scholar] [GitHub]

About

I am a third-year master student at Tsinghua University, majoring in Computer Technology. Previously, I recieved B.Eng degree in Software Engineering from Xidian University in 2021. I was a research intern supervised by Jieming Zhu and at Tencent mentored by Junwei Pan and Ximei Wang.

My research directions are data mining and recommender systems. During my M.Sc., I mainly focused on industrial recommender systems. For example,

• Efficient Candidate Matching

• Multi-scenario/Multi-task/Multi-modal CTR Prediction

• Re-ranking Based on User Behavior Sequence

Recently, I am interested in Large Language Models (LLMs) and Generative AI. If you would like to work with me, please kindly contact me.

News

• [Nov. 2023] One paper about Multi-model recommendation was accepted by ICASSP 2024. Congrats to Xiaoteng Shen!
• [Nov. 2023] One paper about Multi-task recommendation was accepted by AAAI 2024. 🤩 See you in Vancouver!
• [Apr. 2023] One paper about Candidate matching was accepted by SIGIR 2023.
• [Nov. 2022] One paper about CTR prediction was accepted by AAAI 2023.
• [Apr. 2022] I was selected for "Tencent Rhino-Bird Research Elite Program 2022".
• [Apr. 2022] One paper about Benchmarking for recommender systems was accepted by SIGIR 2022.

Research Experiences

• The University of Hong Kong, Research Assistant. Nov. 2023 - Now
• Tencent, Research Intern. Jun. 2022 - Nov. 2023

Publications

(* denotes equal contributions)

• STEM: Unleashing the Power of Embeddings for Multi-task Recommendation.
  Liangcai Su*, Junwei Pan*, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang.
  AAAI 2024. [Arxiv] [Code]

• Beyond Two-Tower Matching: Learning Sparse Retrievable Interaction Models for Recommendation.
  Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong and Ruiming Tang.
  SIGIR 2023. [Paper]

• Multi-interest Learning for Multi-modal Paper Recommendation.
  Xiaoteng Shen*, Liangcai Su*, Xi Xiao, Yi Li
  ICASSP 2024. To appear.

• FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
  Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong.
  AAAI 2023. [Paper] [Code]

• BARS: Towards Open Benchmarking for Recommender Systems.
  Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang.
  SIGIR 2022. [Paper] [Code] [Project]

• PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
  Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He.
  WWW 2022. [Paper]

Awards

• Best Report Award, The 15th Nanshan Academic Forum for Doctoral Students in the Guangdong-Hong Kong-Macao Greater Bay Area, 2023.
• ACM SIGIR 2023 Student Travel Award.
• Comprehensive Excellent Second-class Scholarship, Tsinghua University, 2022 & 2023 (Two times).
• National Scholarship, 2019-2020. (Top 1% Student in XDU)
• National Scholarship, 2017-2018. (Top 1% Student in XDU)