Multi-behavior sequential transformer recommender E Yuan, W Guo, Z He, H Guo, C Liu, R Tang SIGIR 2022, 2022 | 75 | 2022 |
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 | 36 | 2024 |
Towards symmetry-aware generation of periodic materials Y Luo, C Liu, S Ji NeurIPS 2023 (Spotlight), 2024 | 19 | 2024 |
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 | 6 | 2024 |
DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring H Liu, B Li, C Liu, M Lu arXiv preprint arXiv:2403.13163, 2024 | 5 | 2024 |
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation C Liu, J Lin, H Liu, J Wang, J Caverlee CIKM 2024, 2024 | 2 | 2024 |
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 |