受强制性开放获取政策约束的文章 - Tong Xu了解详情
无法在其他位置公开访问的文章：47 篇
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
强制性开放获取政策： 国家自然科学基金委员会
Semi-supervised city-wide parking availability prediction via hierarchical recurrent graph neural network
W Zhang, H Liu, Y Liu, J Zhou, T Xu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3984-3996, 2020
强制性开放获取政策： 国家自然科学基金委员会
RLCharge: Imitative multi-agent spatiotemporal reinforcement learning for electric vehicle charging station recommendation
W Zhang, H Liu, H Xiong, T Xu, F Wang, H Xin, H Wu
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6290-6304, 2022
强制性开放获取政策： 国家自然科学基金委员会
Exploiting the dynamic mutual influence for predicting social event participation
T Xu, H Zhu, H Zhong, G Liu, H Xiong, E Chen
IEEE Transactions on Knowledge and Data Engineering 31 (6), 1122-1135, 2018
强制性开放获取政策： 国家自然科学基金委员会
Towards automatic job description generation with capability-aware neural networks
C Qin, K Yao, H Zhu, T Xu, D Shen, E Chen, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (5), 5341-5355, 2022
强制性开放获取政策： 国家自然科学基金委员会
Color enhanced cross correlation net for image sentiment analysis
S Ruan, K Zhang, L Wu, T Xu, Q Liu, E Chen
IEEE Transactions on Multimedia, 2021
强制性开放获取政策： 国家自然科学基金委员会
Approximation algorithms for submodular data summarization with a knapsack constraint
K Han, S Cui, T Zhu, E Zhang, B Wu, Z Yin, T Xu, S Tang, H Huang
Proceedings of the ACM on Measurement and Analysis of Computing Systems 5 (1 …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Entity summarization via exploiting description complementarity and salience
L Chen, Z Li, W He, G Cheng, T Xu, NJ Yuan, E Chen
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8297-8309, 2022
强制性开放获取政策： 国家自然科学基金委员会
Socializing the videos: A multimodal approach for social relation recognition
T Xu, P Zhou, L Hu, X He, Y Hu, E Chen
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021
强制性开放获取政策： 国家自然科学基金委员会
A trend-aware investment target recommendation system with heterogeneous graph
M Chen, C Wang, C Qin, T Xu, J Ma, E Chen, H Xiong
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
强制性开放获取政策： 国家自然科学基金委员会
Tomgpt: Reliable text-only training approach for cost-effective multi-modal large language model
Y Chen, Q Wang, S Wu, Y Gao, T Xu, Y Hu
ACM Transactions on Knowledge Discovery from Data, 2024
强制性开放获取政策： 国家自然科学基金委员会
Are gpt embeddings useful for ads and recommendation?
W Peng, D Xu, T Xu, J Zhang, E Chen
International Conference on Knowledge Science, Engineering and Management …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Faithful abstractive summarization via fact-aware consistency-constrained transformer
Y Lyu, C Zhu, T Xu, Z Yin, E Chen
Proceedings of the 31st ACM International Conference on Information …, 2022
强制性开放获取政策： 国家自然科学基金委员会
Exploring the social learning of taxi drivers in latent vehicle-to-vehicle networks
T Xu, H Zhu, H Xiong, H Zhong, E Chen
IEEE Transactions on Mobile Computing 19 (8), 1804-1817, 2019
强制性开放获取政策： 国家自然科学基金委员会
Ontological concept structure aware knowledge transfer for inductive knowledge graph embedding
C Ren, L Zhang, L Fang, T Xu, Z Wang, S Yuan, E Chen
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
强制性开放获取政策： 国家自然科学基金委员会
Giant: Protein-ligand binding affinity prediction via geometry-aware interactive graph neural network
S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H Xiong
IEEE Transactions on Knowledge and Data Engineering, 2023
强制性开放获取政策： 国家自然科学基金委员会
Adaptive graph attention network with temporal fusion for micro-expressions recognition
Y Zhang, H Wang, Y Xu, X Mao, T Xu, S Zhao, E Chen
2023 IEEE International Conference on Multimedia and Expo (ICME), 1391-1396, 2023
强制性开放获取政策： 国家自然科学基金委员会
Unified QA-aware knowledge graph generation based on multi-modal modeling
P Qin, J Yu, Y Gao, D Xu, Y Chen, S Wu, T Xu, E Chen, Y Hao
Proceedings of the 30th ACM International Conference on Multimedia, 7185-7189, 2022
强制性开放获取政策： 国家自然科学基金委员会
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement
C Zhang, F Wu, J Yi, D Xu, Y Yu, J Wang, Y Wang, T Xu, X Xie, E Chen
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Heproto: A hierarchical enhancing protonet based on multi-task learning for few-shot named entity recognition
W Chen, L Zhao, P Luo, T Xu, Y Zheng, E Chen
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
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