| Solving challenging math word problems using gpt-4 code interpreter with code-based self-verification A Zhou, K Wang, Z Lu, W Shi, S Luo, Z Qin, S Lu, A Jia, L Song, M Zhan, ... ICLR2024 (Co-first Author), 2023 | 124 | 2023 |
| Mathcoder: Seamless code integration in llms for enhanced mathematical reasoning K Wang, H Ren, A Zhou, Z Lu, S Luo, W Shi, R Zhang, L Song, M Zhan, ... ICLR2024 (Co-first Author), 2023 | 69 | 2023 |
| Personalized federated recommendation via joint representation learning, user clustering, and model adaptation S Luo, Y Xiao, L Song Proceedings of the 31st ACM international conference on information …, 2022 | 59 | 2022 |
| Integrating large language models into recommendation via mutual augmentation and adaptive aggregation S Luo, Y Yao, B He, Y Huang, A Zhou, X Zhang, Y Xiao, M Zhan, L Song arXiv preprint arXiv:2401.13870, 2024 | 23 | 2024 |
| Recranker: Instruction tuning large language model as ranker for top-k recommendation S Luo, B He, H Zhao, W Shao, Y Qi, Y Huang, A Zhou, Y Yao, Z Li, Y Xiao, ... ACM Transactions on Information Systems, 2023 | 22 | 2023 |
| Improving long-tail item recommendation with graph augmentation S Luo, C Ma, Y Xiao, L Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 17 | 2023 |
| Perfedrec++: Enhancing personalized federated recommendation with self-supervised pre-training S Luo, Y Xiao, X Zhang, Y Liu, W Ding, L Song ACM Transactions on Intelligent Systems and Technology (TIST), 2023 | 15 | 2023 |
| HySAGE: A hybrid static and adaptive graph embedding network for context-drifting recommendations S Luo, X Zhang, Y Xiao, L Song Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
| Towards communication efficient and fair federated personalized sequential recommendation S Luo, Y Xiao, Y Liu, C Li, L Song 2022 5th International Conference on Information Communication and Signal …, 2022 | 8 | 2022 |
| Learning from correctness without prompting makes llm efficient reasoner Y Yao, H Wu, Z Guo, B Zhou, J Gao, S Luo, H Hou, X Fu, L Song COLM2024, 2024 | 7 | 2024 |
| Large Language Models Augmented Rating Prediction in Recommender System S Luo, J Wang, A Zhou, L Ma, L Song ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 6 | 2024 |
| Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery Y Yao, S Luo, H Zhao, G Deng, L Song Resource at The ACM Web Conference 2024 (Co-first Author), 2024 | 5 | 2024 |
| A Language Model-based Fine-Grained Address Resolution Framework in UAV Delivery System S Luo, Y Yao, H Zhao, L Song IEEE Journal of Selected Topics in Signal Processing, 2024 | 4 | 2024 |
| Privacy in LLM-based Recommendation: Recent Advances and Future Directions S Luo, W Shao, Y Yao, J Xu, M Liu, Q Li, B He, M Wang, G Deng, H Hou, ... arXiv preprint arXiv:2406.01363, 2024 | 1 | 2024 |
| RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning J Xu, S Luo, X Chen, H Huang, H Hou, L Song arXiv preprint arXiv:2502.06101, 2025 | | 2025 |
| TRAINING AND OPERATING NEURAL NETWORK BASED RANKING MODEL S Luo, L Song US Patent App. 18/330,541, 2024 | | 2024 |
| Cooperative Multi-Model Training for Personalized Federated Learning over Heterogeneous Devices J Xu, S Wan, Y Li, S Luo, Z Chen, Y Shao, Z Chen, SL Huang, L Song IEEE Journal of Selected Topics in Signal Processing, 2024 | | 2024 |
| Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Y Yao, H Wu, M Liu, S Luo, X Han, J Liu, Z Guo, L Song arXiv preprint arXiv:2410.03777, 2024 | | 2024 |
| 基於訓練和/或操作圖神經網絡的推薦系統 LUO Sichun, S Linqi | | 2024 |
| Recommender system and its operation S Luo, L Song US Patent App. 17/861,564, 2024 | | 2024 |
