| 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 | 37* | 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 | 25 | 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 | 17 | 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 | 13 | 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 | 7 | 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 |
| 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 | 4 | 2024 |
| 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 | 1 | 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 | 1 | 2024 |
| 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 |
| Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction Y Shi, W Xu, M Jin, H Zhang, Q Wu, Y Zhang, M Xu arXiv preprint arXiv:2408.08713, 2024 | | 2024 |
| Large Vision-Language Model Security: A Survey T Wang, Z Fang, H Xue, C Zhang, M Jin, W Xu, D Shu, S Yang, Z Wang, ... International Conference on Frontiers in Cyber Security, 3-22, 2024 | | 2024 |
| LLM as GNN: Graph Vocabulary Learning for Graph Foundation Model X Zhu, H Xue, Z Zhao, M Jin, W Xu, J Huang, Q Wang, K Zhou, Y Zhang | | |
| Recommender Systems in the Era of Large Language Model Agents: A Survey XI ZHU, YU WANG, H GAO, W XU, C WANG, Z LIU, KUN WANG, M JIN, ... | | |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerified email at rutgers.edu