| Compressing recurrent neural networks with tensor ring for action recognition Y Pan, J Xu, M Wang, J Ye, F Wang, K Bai, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4683-4690, 2019 | 117 | 2019 |
| Tensor Networks Meet Neural Networks: A Survey and Future Perspectives M Wang, Y Pan, Z Xu, X Yang, G Li, A Cichocki arXiv preprint arXiv:2302.09019, 2023 | 28 | 2023 |
| User retention-oriented recommendation with decision transformer K Zhao, L Zou, X Zhao, M Wang, D Yin Proceedings of the ACM Web Conference 2023, 1141-1149, 2023 | 22 | 2023 |
| Embedding in recommender systems: A survey X Zhao, M Wang, X Zhao, J Li, S Zhou, D Yin, Q Li, J Tang, R Guo arXiv preprint arXiv:2310.18608, 2023 | 21 | 2023 |
| On the opportunities of green computing: A survey Y Zhou, X Lin, X Zhang, M Wang, G Jiang, H Lu, Y Wu, K Zhang, Z Yang, ... arXiv preprint arXiv:2311.00447, 2023 | 19 | 2023 |
| Tednet: A pytorch toolkit for tensor decomposition networks Y Pan, M Wang, Z Xu Neurocomputing 469, 234-238, 2022 | 16 | 2022 |
| Large Multimodal Model Compression via Efficient Pruning and Distillation M Wang, Y Zhao, J Liu, J Chen, C Zhuang, J Gu, R Guo, X Zhao ACM Web Conference 2024, 2023 | 10* | 2023 |
| Tensor ring restricted Boltzmann machines M Wang, C Zhang, Y Pan, J Xu, Z Xu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 9 | 2019 |
| Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization M Wang, D Zeng, Z Xu, R Guo, X Zhao IEEE International Conference on Data Mining 2023, 2023 | 7 | 2023 |
| Tensorized Hypergraph Neural Networks M Wang, Y Zhen, Y Pan, Z Yao, Z Chenyi, Z Xu, R Guo, X Zhao SIAM International Conference on Data Mining 2024, 2023 | 7 | 2023 |
| Concatenated tensor networks for deep multi-task learning M Wang, Z Su, X Luo, Y Pan, S Zheng, Z Xu Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 5 | 2020 |
| Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future Q Liu, X Zhao, Y Wang, Y Wang, Z Zhang, Y Sun, X Li, M Wang, P Jia, ... arXiv preprint arXiv:2412.13432, 2024 | 4 | 2024 |
| Bidirectional gated mamba for sequential recommendation Z Liu, Q Liu, Y Wang, W Wang, P Jia, M Wang, Z Liu, Y Chang, X Zhao arXiv preprint arXiv:2408.11451, 2024 | 4 | 2024 |
| An interpretable bi-branch neural network for matrix completion XP Li, M Wang, HC So Signal Processing 200, 108640, 2022 | 4 | 2022 |
| GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems S Zhang, M Wang, X Zhao arXiv preprint arXiv:2406.10244, 2024 | 2 | 2024 |
| DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems S Zhang, M Wang, X Zhao, R Guo, Y Zhao, C Zhuang, J Gu, Z Zhang, ... Proceedings of the 18th ACM Conference on Recommender Systems, 591-600, 2024 | 1* | 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 |
| Stepwise Reasoning Error Disruption Attack of LLMs J Peng, M Wang, X Zhao, K Zhang, W Wang, P Jia, Q Liu, R Guo, Q Liu arXiv preprint arXiv:2412.11934, 2024 | | 2024 |
| ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval S Huang, C Zhang, Y Wu, H Zhang, Y Wang, M Wang, S Cao, T Xu, ... arXiv preprint arXiv:2411.15766, 2024 | | 2024 |
| Cumulative Distribution Function based General Temporal Point Processes M Wang, Y Pan, Z Xu, R Guo, X Zhao, W Wang, Y Wang, Z Liu, L Liu arXiv preprint arXiv:2402.00388, 2024 | | 2024 |
Zenglin XuFudan UniversityEmail verificata su fudan.edu.cn