| AIOS: LLM agent operating system K Mei, Z Xi, X Wujiang, H Wenyue, J Mingyu, Z Li, S Xu, R Ye, Y Ge, ... arXiv preprint arXiv:2403.16971, 2024 | 42 | 2024 |
| Apeer: Automatic prompt engineering enhances large language model reranking C Jin, H Peng, S Zhao, Z Wang, W Xu, L Han, J Zhao, K Zhong, ... arXiv preprint arXiv:2406.14449, 2024 | 31 | 2024 |
| Neural Node Matching for Multi-Target Cross Domain Recommendation W Xu, S Li, M Ha, X Guo, Q Ma, X Liu, L Chen, Z Zhu The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023 | 19 | 2023 |
| Rethinking cross-domain sequential recommendation under open-world assumptions W Xu, Q Wu, R Wang, M Ha, Q Ma, L Chen, B Han, J Yan Proceedings of the ACM on Web Conference (WWW 2024), 3173-3184, 2024 | 15 | 2024 |
| Saliency Aware Image Cropping with Latent Region Pair Z Yifei Xu, Wujiang Xu, Mianwang, Li Li, Gesang Nan, Pingping Wei Expert system with application, 2021 | 12 | 2021 |
| MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization W Xu, R Wang, X Guo, S Li, Q Ma, Y Zhao, S Guo, Z Zhu, J Yan ICASSP 2023, 2023 | 11 | 2023 |
| Quantitative analysis of metallographic image using attention-aware deep neural networks Y Xu, Y Zhang, M Zhang, M Wang, W Xu, C Wang, Y Sun, P Wei Sensors 21 (1), 43, 2020 | 11 | 2020 |
| Moralbench: Moral evaluation of llms J Ji, Y Chen, M Jin, W Xu, W Hua, Y Zhang arXiv preprint arXiv:2406.04428, 2024 | 10 | 2024 |
| SLMRec: Empowering Small Language Models for Sequential Recommendation W Xu, Q Wu, Z Liang, J Han, X Ning, S Yunxiao, W Lin, Y Zhang International Conference on Learning Representations (ICLR 2025), 2024 | 6 | 2024 |
| Towards open-world cross-domain sequential recommendation: A model-agnostic contrastive denoising approach W Xu, X Ning, W Lin, M Ha, Q Ma, L Chen, B Han, M Luo ECML-PKDD 2024, 2023 | 6 | 2023 |
| Recursive multi-relational graph convolutional network for automatic photo selection W Xu, Y Xu, G Sang, L Li, A Wang, P Wei, L Zhu IEEE Transactions on Multimedia 25, 3825-3840, 2022 | 4 | 2022 |
| Information maximization via variational autoencoders for cross-domain recommendation X Ning, W Xu, X Liu, M Ha, Q Ma, Y Li, L Chen, Y Zhang arXiv preprint arXiv:2405.20710, 2024 | 2 | 2024 |
| Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random M Ha, X Tao, W Lin, Q Ma, W Xu, L Chen NeurIPS 2024, 2024 | 2 | 2024 |
| InstructAgent: Building User Controllable Recommender via LLM Agent W Xu, Y Shi, Z Liang, X Ning, K Mei, K Wang, X Zhu, M Xu, Y Zhang arXiv preprint arXiv:2502.14662, 2025 | | 2025 |
| A-MEM: Agentic Memory for LLM Agents W Xu, Z Liang, K Mei, H Gao, J Tan, Y Zhang arXiv preprint arXiv:2502.12110, 2025 | | 2025 |
| From Commands to Prompts: LLM-based Semantic File System for AIOS Z Shi, K Mei, M Jin, Y Su, C Zuo, W Hua, W Xu, Y Ren, Z Liu, M Du, ... International Conference on Learning Representations (ICLR 2025), 2024 | | 2024 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerifisert e-postadresse på rutgers.edu