Jiayu Han
Jiayu Han
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Adaptive deep modeling of users and items using side information for recommendation
J Han, L Zheng, Y Xu, B Zhang, F Zhuang, SY Philip, W Zuo
IEEE transactions on neural networks and learning systems 31 (3), 737-748, 2019
Efficient traffic congestion estimation using multiple spatio-temporal properties
Y Yang, Y Xu, J Han, E Wang, W Chen, L Yue
Neurocomputing 267, 344-353, 2017
Improving existing collaborative filtering recommendations via serendipity-based algorithm
Y Yang, Y Xu, E Wang, J Han, Z Yu
IEEE Transactions on Multimedia 20 (7), 1888-1900, 2017
JSCN: Joint spectral convolutional network for cross domain recommendation
Z Liu, L Zheng, J Zhang, J Han, SY Philip
2019 IEEE international conference on big data (big data), 850-859, 2019
Slanderous user detection with modified recurrent neural networks in recommender system
Y Xu, Y Yang, J Han, E Wang, J Ming, H Xiong
Information Sciences 505, 265-281, 2019
Deep latent factor model with hierarchical similarity measure for recommender systems
J Han, L Zheng, H Huang, Y Xu, SY Philip, W Zuo
Information Sciences 503, 521-532, 2019
Neural serendipity recommendation: Exploring the balance between accuracy and novelty with sparse explicit feedback
Y Xu, Y Yang, E Wang, J Han, F Zhuang, Z Yu, H Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-25, 2020
Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering
H Cui, T Peng, F Xiao, J Han, R Han, L Liu
Information Sciences 619, 745-761, 2023
Distantly supervised relation extraction using global hierarchy embeddings and local probability constraints
T Peng, R Han, H Cui, L Yue, J Han, L Liu
Knowledge-Based Systems 235, 107637, 2022
Exploiting the sentimental bias between ratings and reviews for enhancing recommendation
Y Xu, Y Yang, J Han, E Wang, F Zhuang, H Xiong
2018 ieee international conference on data mining (icdm), 1356-1361, 2018
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks
Y Xu, Y Yang, J Han, E Wang, F Zhuang, J Yang, H Xiong
Neural Networks 111, 77-88, 2019
Building text classifiers using positive, unlabeled and ‘outdated’examples
J Han, W Zuo, L Liu, Y Xu, T Peng
Concurrency and Computation: Practice and Experience 28 (13), 3691-3706, 2016
User relation prediction based on matrix factorization and hybrid particle swarm optimization
Z Shi, W Zuo, W Chen, L Yue, J Han, L Feng
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering
H Cui, T Peng, T Bao, R Han, J Han, L Liu
Applied Intelligence 53 (10), 12340-12354, 2023
Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction
Y Zhang, T Peng, R Han, J Han, L Yue, L Liu
Applied Intelligence 52 (13), 15210-15225, 2022
Cross-lingual knowledge graph entity alignment based on relation awareness and attribute involvement
B Zhu, T Bao, L Liu, J Han, J Wang, T Peng
Applied Intelligence 53 (6), 6159-6177, 2023
An effective knowledge graph entity alignment model based on multiple information
B Zhu, T Bao, R Han, H Cui, J Han, L Liu, T Peng
Neural Networks 162, 83-98, 2023
Probing for understanding of English verb classes and alternations in large pre-trained language models
DK Yi, JV Bruno, J Han, P Zukerman, S Steinert-Threlkeld
arXiv preprint arXiv:2209.04811, 2022
Distantly supervised relation extraction via recursive hierarchy-interactive attention and entity-order perception
R Han, T Peng, J Han, H Cui, L Liu
Neural Networks 152, 191-200, 2022
Meta-learning for few-shot time series forecasting
F Xiao, L Liu, J Han, D Guo, S Wang, H Cui, T Peng
Journal of Intelligent & Fuzzy Systems 43 (1), 325-341, 2022
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