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

• [July. 2024] Our paper ERASE is accepted by CIKM 2024. Congrast to Ling-Hao Chen!
• [June. 2024] Our paper (Invisibility Cloak) is accepted by USENIX Security 2024.
• [May. 2024] Our latest survey paper on generative techniques for spatial-temporal data mining is now available.
• [Nov. 2023] Our paper about Multi-model recommendation was accepted by ICASSP 2024. Congrats to Xiaoteng Shen!
• [Nov. 2023] Our paper about Multi-task recommendation was accepted by AAAI 2024. 🤩 See you in Vancouver!
• [Apr. 2023] Our paper about Candidate matching was accepted by SIGIR 2023.

Research Experiences

• The University of Hong Kong, Research Assistant. Nov. 2023 - Aug. 2024
• 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]

• ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance.
  Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu.
  CIKM 2024. [Arxiv][Project][Code]

• Invisibility Cloak: Proactive Defense Against Visual Game Cheating.
  Chenxin Sun, Kai Ye, Liangcai Su, Jiayi Zhang, and Chenxiong Qian.
  USENIX Security 2024. [Demo]

• A Survey of Generative Techniques for Spatial-Temporal Data Mining.
  Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian and Christian S. Jensen.
  Preprint. [Paper]

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

• 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

• Outstanding Graduates of Beijing(北京市优秀毕业生), 2024.
• 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(国家奖学金), 2019-2020. (Top 1% Student in XDU)
• National Scholarship(国家奖学金), 2017-2018. (Top 1% Student in XDU)