| Lexical based automated teaching evaluation via students’ short reviews Q Lin, Y Zhu, S Zhang, P Shi, Q Guo, Z Niu Computer Applications in Engineering Education 27 (1), 194-205, 2019 | 74 | 2019 |
| Multi-source aggregated classification for stock price movement prediction Y Ma, R Mao, Q Lin, P Wu, E Cambria Information Fusion 91, 515-528, 2023 | 49 | 2023 |
| Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks Y Zhu, Q Lin, H Lu, K Shi, P Qiu, Z Niu Knowledge-Based Systems 215, 106744, 2021 | 47 | 2021 |
| Heterogeneous knowledge-based attentive neural networks for short-term music recommendations Q Lin, Y Niu, Y Zhu, H Lu, KZ Mushonga, Z Niu IEEE Access 6, 58990-59000, 2018 | 42 | 2018 |
| A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng, E Cambria arXiv preprint arXiv:2310.05694, 2023 | 37 | 2023 |
| Fusing topology contexts and logical rules in language models for knowledge graph completion Q Lin, R Mao, J Liu, F Xu, E Cambria Information Fusion, 2023 | 36 | 2023 |
| Academic rising star prediction via scholar’s evaluation model and machine learning techniques Y Nie, Y Zhu, Q Lin, S Zhang, P Shi, Z Niu Scientometrics 120 (2), 461-476, 2019 | 33 | 2019 |
| Improving university faculty evaluations via multi-view knowledge graph Q Lin, Y Zhu, H Lu, K Shi, Z Niu Future Generation Computer Systems 117, 181-192, 2021 | 30 | 2021 |
| Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond F Xu, Q Lin, J Han, T Zhao, J Liu, E Cambria arXiv preprint arXiv:2306.09841, 2023 | 29 | 2023 |
| Rule-enhanced iterative complementation for knowledge graph reasoning Q Lin, J Liu, Y Pan, L Zhang, X Hu, J Ma Information Sciences 575, 66-79, 2021 | 28 | 2021 |
| Incorporating context graph with logical reasoning for inductive relation prediction Q Lin, J Liu, F Xu, Y Pan, Y Zhu, L Zhang, T Zhao SIGIR 2022, 893-903, 2022 | 27 | 2022 |
| Recommending learning objects through attentive heterogeneous graph convolution and operation-aware neural network Y Zhu, Q Lin, H Lu, K Shi, D Liu, J Chambua, S Wan, Z Niu IEEE Transactions on Knowledge and Data Engineering 35 (4), 4178-4189, 2021 | 25 | 2021 |
| Multitask learning for visual question answering J Ma, J Liu, Q Lin, B Wu, Y Wang, Y You IEEE Transactions on neural networks and learning systems 34 (3), 1380-1394, 2021 | 22 | 2021 |
| Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning F Xu, Q Lin, J Liu, Y Pan, L Zhang SIGIR 2022, 2022 | 19 | 2022 |
| Inductive relation prediction with logical reasoning using contrastive representations Y Pan, J Liu, L Zhang, T Zhao, Q Lin, X Hu, Q Wang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 17* | 2022 |
| Contrastive graph representations for logical formulas embedding Q Lin, J Liu, L Zhang, Y Pan, X Hu, F Xu, H Zeng IEEE Transactions on Knowledge and Data Engineering 35 (4), 3563-3574, 2021 | 15 | 2021 |
| Collective intelligence: A taxonomy and survey F He, Y Pan, Q Lin, X Miao, Z Chen IEEE Access 7, 170213-170225, 2019 | 12 | 2019 |
| TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning Q Lin, J Liu, R Mao, F Xu, E Cambria ACL 2023, 2023 | 11 | 2023 |
| Mul-grn: Multi-level graph relation network for few-shot node classification L Zhang, S Wang, J Liu, X Chang, Q Lin, Y Wu, Q Zheng IEEE Transactions on Knowledge and Data Engineering 35 (6), 6085-6098, 2022 | 11 | 2022 |
| Heterogeneous knowledge learning of predictive academic intelligence in transportation H Lu, Y Zhu, Q Lin, T Wang, Z Niu, E Herrera-Viedma IEEE Transactions on Intelligent Transportation Systems 23 (4), 3737-3755, 2020 | 11 | 2020 |
Yifan ZhuBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
