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

About

I am a second-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 at Huawei Noah's Ark Lab supervised by Jieming Zhu. Now, I am a research intern 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

• [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.
• [Jan. 2022] One paper about Re-ranking was accepted by WWW 2022.

Research Experiences

• Tencent, Research Intern. Jun. 2022 - Now.
• Huawei Noah's Ark Lab, Research Intern. Mar. 2021 - Sep. 2021 & Feb. 2022 - May. 2022.

Publications

(* denotes equal contributions)

• 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]

• 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]

Preprints

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

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, 2021.
• National Scholarship, 2019-2020. (Top 1% Student in XDU)
• National Scholarship, 2017-2018. (Top 1% Student in XDU)