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Qika Lin
Qika Lin
National University of Singapore | NTU | XJTU | BIT
Подтвержден адрес электронной почты в домене nus.edu.sg - Главная страница
Название
Процитировано
Процитировано
Год
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
Information Fusion, 102963, 2025
1422025
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
1012023
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
822019
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
IEEE Transactions on Knowledge and Data Engineering, 2025
73*2025
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
622021
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
572023
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
532022
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
492018
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
442023
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
402021
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning
Q Lin, J Liu, R Mao, F Xu, E Cambria
ACL 2023, 2023
392023
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
372021
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
362019
Quantitative stock portfolio optimization by multi-task learning risk and return
Y Ma, R Mao, Q Lin, P Wu, E Cambria
Information Fusion 104, 102165, 2024
332024
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
332021
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
312021
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
30*2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
F Xu, Q Lin, J Liu, Y Pan, L Zhang
SIGIR 2022, 2022
272022
Symbol-llm: Towards foundational symbol-centric interface for large language models
F Xu, Z Wu, Q Sun, S Ren, F Yuan, S Yuan, Q Lin, Y Qiao, J Liu
ACL 2024, 2023
262023
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
252022
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