Chengkai Liu (刘成锴)

I am a third-year Ph.D. student in Computer Science at Texas A&M University (TAMU), advised by Prof. James Caverlee.

I received my bachelor’s degree from ACM Honors class, Shanghai Jiao Tong University (SJTU) in 2022, advised by Prof. Yong Yu.

My research interests include efficient recommender systems, large language models, and generative models.

Email  /  GitHub  /  Google Scholar  /  Twitter  /  Bluesky  /  LinkedIn

profile photo

Feel free to reach out if you would like to talk about life, research, or career. I am open to conversations, discussions and potential collaborations.

News

  • [12/2024]    I will join Amazon as an Applied Scientist Intern in Summer 2025. See you in Seattle!
  • [09/2024]    We have a new survey on diffusion models for recommender systems. See our preprint!
  • [08/2024]    Mamba4Rec has been selected as the Best Paper Award for RelKD workshop at KDD 2024!
  • [07/2024]    Invited to give a talk at Uber on Mamba4Rec and efficient sequential recommendation!
  • [07/2024]    Our RecBLR has been accepted to CIKM 2024. See you in Boise!
  • [07/2024]    Our Mamba4Rec has been accepted to RelKD workshop at KDD 2024 as Oral. See you in Barcelona!
  • [09/2023]    Our SyMat has been accepted to NeurIPS 2023 as Spotlight (top 3%)!
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    Publications

    Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation

    Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee

    CIKM 2024  [code]

    Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

    Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee

    RelKD@KDD 2024  (Best Paper Award) [code]

    Towards Symmetry-Aware Generation of Periodic Materials

    Youzhi Luo, Chengkai Liu, Shuiwang Ji

    NeurIPS 2023  (Spotlight) [code]

    Multi-Behavior Sequential Transformer Recommender

    Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang

    SIGIR 2022  [code]

     
    Preprints

    Flow Matching for Collaborative Filtering

    Chengkai Liu*, Yangtian Zhang*, Jianling Wang, Rex Ying, James Caverlee

    arXiv 2025  [code]

    TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering

    Chengkai Liu, Jianling Wang, James Caverlee

    arXiv 2024  [code]

    A Survey on Diffusion Models for Recommender Systems

    Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang

    arXiv 2024  [repo]

    CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

    Kai Yin, Chengkai Liu, Ali Mostafavi, Xia Hu

    arXiv 2024 

    XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring

    Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu

    arXiv 2024 

    DeblurDiNAT: A Generalizable Transformer for Perceptual Image Deblurring

    Hanzhou Liu, Binghan Li, Chengkai Liu, Mi Lu

    arXiv 2024  [code]

     
    Academic Service

    Conference Reviewer: CIKM'23-24, KDD'24-25, NeurIPS'24-25, ICLR'25, ICML'25, SIGIR'25, WWW'25, AISTATS'25, ICWSM'25.
    Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering.
     
    Misc.

    My favorite singer is Jay Chou, and I have been his loyal fan for over a decade. I enjoy singing his songs and sharing them on Douyin.




    Thanks Jon Barron for this amazing template.