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Liangcai Su (苏良才) |
I am a Ph.D. student at The University of Hong Kong, majoring in Computer Science. Previously, I received my Master's degree in Computer Technology from Tsinghua University in 2024 and obtained my 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 LLM-driven Agent.
I am actively seeking collaboration and internship opportunities in the fields of LLMs and AI Agents. If you are interested in working with me, please feel free to contact me via email.
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]
How Far Are We from True Unlearnability?
Kai Ye*, Liangcai Su*, Chenxiong Qian.
ICLR 2025.
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]