| Dynamic Graph Neural Networks for Sequential Recommendation M Zhang, S Wu, X Yu, Q Liu, L Wang IEEE Transactions on Knowledge and Data Engineering, 2022 | 167 | 2022 |
| Personalized graph neural networks with attention mechanism for session-aware recommendation M Zhang, S Wu, M Gao, X Jiang, K Xu, L Wang IEEE Transactions on Knowledge and Data Engineering 34 (8), 3946-3957, 2020 | 147* | 2020 |
| High-order Hidden Markov Model for trend prediction in financial time series M Zhang, X Jiang, Z Fang, Y Zeng, K Xu Physica A: Statistical Mechanics and its Applications 517, 1-12, 2019 | 91 | 2019 |
| Dynamic Graph Collaborative Filtering X Li*, M Zhang*, S Wu, Z Liu, L Wang, PS Yu 2020 IEEE International Conference on Data Mining (ICDM), 2020 | 75 | 2020 |
| Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation J Zhang, Y Zhu, Q Liu, M Zhang, S Wu, L Wang IEEE Transactions on Knowledge and Data Engineering, 2022 | 54 | 2022 |
| Learning long-and short-term representations for temporal knowledge graph reasoning M Zhang, Y Xia, Q Liu, S Wu, L Wang Proceedings of the ACM Web Conference 2023, 2412-2422, 2023 | 31 | 2023 |
| Learning latent relations for temporal knowledge graph reasoning M Zhang, Y Xia, Q Liu, S Wu, L Wang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 25 | 2023 |
| MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning Y Xia, M Zhang, Q Liu, S Wu, XY Zhang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2023 | 16 | 2023 |
| Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation J Yang, Y Li, J Zhao, H Wang, M Ma, J Ma, Z Ren, M Zhang, X Xin, Z Chen, ... arXiv preprint arXiv:2403.16371, 2024 | 10 | 2024 |
| Knowledge Graph Enhanced Large Language Model Editing M Zhang, X Ye, Q Liu, P Ren, S Wu, Z Chen The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 | 6 | 2024 |
| MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning P Ren, C Shi, S Wu, M Zhang, Z Ren, M Rijke, Z Chen, J Pei Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4* | 2024 |
| Self-Supervised Position Debiasing for Large Language Models Z Liu, Z Chen, M Zhang, Z Ren, P Ren, Z Chen Findings of the Association for Computational Linguistics ACL 2024, 2897-2917, 2024 | 4* | 2024 |
| Deep contrastive multiview network embedding M Zhang, Y Zhu, Q Liu, S Wu, L Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 3* | 2022 |
| MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning Y Xia, M Zhang, Q Liu, L Wang, S Wu, X Zhang Pattern Recognition, 110629, 2024 | 2 | 2024 |
| Generative Retrieval as Multi-Vector Dense Retrieval S Wu, W Wei, M Zhang, Z Chen, J Ma, Z Ren, M de Rijke, P Ren SIGIR 2024: 47th international ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Stage-aware hierarchical attentive relational network for diagnosis prediction L Wang, Q Liu, M Zhang, Y Hu, S Wu, L Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| Learning Domain-Invariant Features for Out-of-Context News Detection Y Gu, M Zhang, I Castro, S Wu, G Tyson arXiv preprint arXiv:2406.07430, 2024 | 1 | 2024 |
| ExcluIR: Exclusionary Neural Information Retrieval W Zhang, M Zhang, S Wu, J Pei, Z Ren, M de Rijke, Z Chen, P Ren arXiv preprint arXiv:2404.17288, 2024 | 1 | 2024 |
| Uncovering Overfitting in Large Language Model Editing M Zhang, X Ye, Q Liu, P Ren, S Wu, Z Chen arXiv preprint arXiv:2410.07819, 2024 | | 2024 |
| Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing M Zhang, B Fang, Q Liu, P Ren, S Wu, Z Chen, L Wang arXiv preprint arXiv:2408.12456, 2024 | | 2024 |
Shu WuProfessor, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
