| A survey on multimodal large language models S Yin, C Fu, S Zhao, K Li, X Sun, T Xu, E Chen arXiv preprint arXiv:2306.13549, 2023 | 1173 | 2023 |
| Disentangled graph collaborative filtering X Wang, H Jin, A Zhang, X He, T Xu, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 608 | 2020 |
| Methods and apparatus for associating interest tags with media items based on social diffusions among users T Xu, H Zhu, CAO Huanhuan, D Liu, J Tian US Patent App. 14/400,943, 2015 | 249 | 2015 |
| Enhancing person-job fit for talent recruitment: An ability-aware neural network approach C Qin, H Zhu, T Xu, C Zhu, L Jiang, E Chen, H Xiong The 41st international ACM SIGIR conference on research & development in …, 2018 | 210 | 2018 |
| Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 191 | 2021 |
| Integrating graph contextualized knowledge into pre-trained language models B He, D Zhou, J Xiao, Q Liu, NJ Yuan, T Xu arXiv preprint arXiv:1912.00147, 2019 | 177 | 2019 |
| Woodpecker: Hallucination correction for multimodal large language models S Yin, C Fu, S Zhao, T Xu, H Wang, D Sui, Y Shen, K Li, X Sun, E Chen Science China Information Sciences 67 (12), 220105, 2024 | 161 | 2024 |
| Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis C Fu, Y Dai, Y Luo, L Li, S Ren, R Zhang, Z Wang, C Zhou, Y Shen, ... arXiv preprint arXiv:2405.21075, 2024 | 140 | 2024 |
| STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control Y Wang, T Xu, X Niu, C Tan, E Chen, H Xiong IEEE Transactions on Mobile Computing 21 (6), 2228-2242, 2020 | 138 | 2020 |
| Geomgcl: Geometric graph contrastive learning for molecular property prediction S Li, J Zhou, T Xu, D Dou, H Xiong Proceedings of the AAAI conference on artificial intelligence 36 (4), 4541-4549, 2022 | 134 | 2022 |
| MCNE: An end-to-end framework for learning multiple conditional network representations of social network H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 132 | 2019 |
| Large language models for generative information extraction: A survey D Xu, W Chen, W Peng, C Zhang, T Xu, X Zhao, X Wu, Y Zheng, Y Wang, ... Frontiers of Computer Science 18 (6), 186357, 2024 | 131 | 2024 |
| An enhanced neural network approach to person-job fit in talent recruitment C Qin, H Zhu, T Xu, C Zhu, C Ma, E Chen, H Xiong ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 | 120 | 2020 |
| A two-stage 3D CNN based learning method for spontaneous micro-expression recognition S Zhao, H Tao, Y Zhang, T Xu, K Zhang, Z Hao, E Chen Neurocomputing 448, 276-289, 2021 | 114 | 2021 |
| MMEA: entity alignment for multi-modal knowledge graph L Chen, Z Li, Y Wang, T Xu, Z Wang, E Chen Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 105 | 2020 |
| Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning W Zhang, H Liu, F Wang, T Xu, H Xin, D Dou, H Xiong Proceedings of the Web Conference 2021, 1856-1867, 2021 | 97 | 2021 |
| Attention as relation: learning supervised multi-head self-attention for relation extraction J Liu, S Chen, B Wang, J Zhang, N Li, T Xu Proceedings of the twenty-ninth international conference on international …, 2021 | 88 | 2021 |
| Measuring the popularity of job skills in recruitment market: A multi-criteria approach T Xu, H Zhu, C Zhu, P Li, H Xiong Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 88 | 2018 |
| Multi-modal siamese network for entity alignment L Chen, Z Li, T Xu, H Wu, Z Wang, NJ Yuan, E Chen Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 82 | 2022 |
| Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective T Xu, H Zhu, X Zhao, Q Liu, H Zhong, E Chen, H Xiong Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 72 | 2016 |
Enhong ChenUniversity of Science and Technology of ChinaE-mailová adresa ověřena na: ustc.edu.cn