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Linmei Hu
Linmei Hu
在 bit.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Heterogeneous graph attention networks for semi-supervised short text classification
H Linmei, T Yang, C Shi, H Ji, X Li
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
3782019
Metapath-guided heterogeneous graph neural network for intent recommendation
S Fan, J Zhu, X Han, C Shi, L Hu, B Ma, Y Li
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
3502019
Graph neural news recommendation with long-term and short-term interest modeling
L Hu, C Li, C Shi, C Yang, C Shao
Information Processing & Management 57 (2), 102142, 2020
1962020
Compare to the knowledge: Graph neural fake news detection with external knowledge
L Hu, T Yang, L Zhang, W Zhong, D Tang, C Shi, N Duan, M Zhou
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
1502021
Graph neural news recommendation with unsupervised preference disentanglement
L Hu, S Xu, C Li, C Yang, C Shi, N Duan, X Xie, M Zhou
Proceedings of the 58th annual meeting of the association for computational …, 2020
1402020
Relation structure-aware heterogeneous information network embedding
Y Lu, C Shi, L Hu, Z Liu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4456-4463, 2019
1342019
HGAT: Heterogeneous graph attention networks for semi-supervised short text classification
T Yang, L Hu, C Shi, H Ji, X Li, L Nie
ACM Transactions on Information Systems (TOIS) 39 (3), 1-29, 2021
1272021
A survey of knowledge enhanced pre-trained language models
L Hu, Z Liu, Z Zhao, L Hou, L Nie, J Li
IEEE Transactions on Knowledge and Data Engineering, 2023
972023
Valley: Video assistant with large language model enhanced ability
R Luo, Z Zhao, M Yang, J Dong, D Li, P Lu, T Wang, L Hu, M Qiu, Z Wei
arXiv preprint arXiv:2306.07207, 2023
852023
Deep learning for fake news detection: A comprehensive survey
L Hu, S Wei, Z Zhao, B Wu
AI open 3, 133-155, 2022
672022
Rimom-im: A novel iterative framework for instance matching
C Shao, LM Hu, JZ Li, ZC Wang, T Chung, JB Xia
Journal of computer science and technology 31, 185-197, 2016
652016
What happens next? Future subevent prediction using contextual hierarchical LSTM
L Hu, J Li, L Nie, XL Li, C Shao
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
632017
Improving distantly-supervised relation extraction with joint label embedding
L Hu, L Zhang, C Shi, L Nie, W Guan, C Yang
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
622019
Virtually trying on new clothing with arbitrary poses
N Zheng, X Song, Z Chen, L Hu, D Cao, L Nie
Proceedings of the 27th ACM international conference on multimedia, 266-274, 2019
622019
Adversarial label-flipping attack and defense for graph neural networks
M Zhang, L Hu, C Shi, X Wang
2020 IEEE International Conference on Data Mining (ICDM), 791-800, 2020
552020
Adaptive online event detection in news streams
L Hu, B Zhang, L Hou, J Li
Knowledge-Based Systems 138, 105-112, 2017
542017
Graph neural entity disambiguation
L Hu, J Ding, C Shi, C Shao, S Li
Knowledge-Based Systems 195, 105620, 2020
292020
RHINE: Relation structure-aware heterogeneous information network embedding
C Shi, Y Lu, L Hu, Z Liu, H Ma
IEEE Transactions on Knowledge and Data Engineering 34 (1), 433-447, 2020
252020
Sequence-aware heterogeneous graph neural collaborative filtering
C Li, L Hu, C Shi, G Song, Y Lu
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
232021
Enhancing joint entity and relation extraction with language modeling and hierarchical attention
R Chi, B Wu, L Hu, Y Zhang
Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019 …, 2019
222019
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