| 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 | 66 | 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 | 50 | 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 | 48 | 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 | 28 | 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 | 28 | 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 | 27 | 2019 |
| 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 | 22 | 2023 |
| 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 | 22 | 2020 |
| 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 | 18 | 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 | 18 | 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 | 15 | 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| Building text classifiers using positive, unlabeled and ‘outdated’examples J Han, W Zuo, L Liu, Y Xu, T Peng Concurrency and Computation: Practice and Experience 28 (13), 3691-3706, 2016 | 14 | 2016 |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 | 11 | 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 | 9 | 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 | 8 | 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 | 6 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 4 | 2022 |
Lin YueUniversity of NewcastleEmail verificata su newcastle.edu.au
