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  / 
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LinkedIn
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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.
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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
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Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
CIKM 2024
[code]
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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]
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Towards Symmetry-Aware Generation of Periodic Materials
Youzhi Luo, Chengkai Liu, Shuiwang Ji
NeurIPS 2023
(Spotlight)
[code]
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Multi-Behavior Sequential Transformer Recommender
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
SIGIR 2022
[code]
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Preprints
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Flow Matching for Collaborative Filtering
Chengkai Liu*, Yangtian Zhang*, Jianling Wang, Rex Ying, James Caverlee
arXiv 2025
[code]
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TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
Chengkai Liu, Jianling Wang, James Caverlee
arXiv 2024
[code]
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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]
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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
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XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring
Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu
arXiv 2024
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DeblurDiNAT: A Generalizable Transformer for Perceptual Image Deblurring
Hanzhou Liu, Binghan Li, Chengkai Liu, Mi Lu
arXiv 2024
[code]
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Academic Service
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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.
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Misc.
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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.
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