Qika Lin
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
F Xu, Q Lin, J Liu, Y Pan, L Zhang
SIGIR 2022, 2022
Inductive relation prediction with logical reasoning using contrastive representations
Y Pan, J Liu, L Zhang, T Zhao, Q Lin, X Hu, Q Wang
EMNLP 2022, 4261-4274, 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
WinGNN: dynamic graph neural networks with random gradient aggregation window
Y Zhu, F Cong, D Zhang, W Gong, Q Lin, W Feng, Y Dong, J Tang
KDD, 3650-3662, 2023
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
Q Lin, J Liu, R Mao, F Xu, E Cambria
ACL 2023, 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
Collective intelligence: A taxonomy and survey
F He, Y Pan, Q Lin, X Miao, Z Chen
IEEE Access 7, 170213-170225, 2019
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