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Chengkai Liu
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Multi-behavior sequential transformer recommender
E Yuan, W Guo, Z He, H Guo, C Liu, R Tang
SIGIR 2022, 2022
752022
Mamba4rec: Towards efficient sequential recommendation with selective state space models
C Liu, J Lin, J Wang, H Liu, J Caverlee
RelKD@KDD 2024 (Best Paper Award), 2024
362024
Towards symmetry-aware generation of periodic materials
Y Luo, C Liu, S Ji
NeurIPS 2023 (Spotlight), 2024
192024
Crisissense-llm: Instruction fine-tuned large language model for multi-label social media text classification in disaster informatics
K Yin, C Liu, A Mostafavi, X Hu
arXiv preprint arXiv:2406.15477, 2024
62024
DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring
H Liu, B Li, C Liu, M Lu
arXiv preprint arXiv:2403.13163, 2024
52024
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
C Liu, J Lin, H Liu, J Wang, J Caverlee
CIKM 2024, 2024
22024
XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring
H Liu, C Liu, J Xu, P Jiang, M Lu
arXiv preprint arXiv:2412.10338, 2024
2024
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
C Liu, J Wang, J Caverlee
arXiv preprint arXiv:2409.19169, 2024
2024
A Survey on Diffusion Models for Recommender Systems
J Lin, J Liu, J Zhu, Y Xi, C Liu, Y Zhang, Y Yu, W Zhang
arXiv preprint arXiv:2409.05033, 2024
2024
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