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 | 488 | 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 | 473 | 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 | 238 | 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 | 178 | 2018 |
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 | 149 | 2019 |
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 | 147 | 2021 |
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 | 107 | 2020 |
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 | 106 | 2019 |
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 | 96 | 2022 |
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 | 95 | 2020 |
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 | 79 | 2018 |
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 | 78 | 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 | 76 | 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 | 76 | 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 | 71 | 2021 |
Regularizing neural machine translation by target-bidirectional agreement Z Zhang, S Wu, S Liu, M Li, M Zhou, T Xu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 443-450, 2019 | 68 | 2019 |
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 | 67 | 2016 |
Reading the videos: Temporal labeling for crowdsourced time-sync videos based on semantic embedding G Lv, T Xu, E Chen, Q Liu, Y Zheng Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 67 | 2016 |
A radical-aware attention-based model for chinese text classification H Tao, S Tong, H Zhao, T Xu, B Jin, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5125-5132, 2019 | 64 | 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 arXiv preprint arXiv:2310.16045, 2023 | 63 | 2023 |