Qika Lin

According to our database, Qika Lin authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quantitative stock portfolio optimization by multi-task learning risk and return.

Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria

Inf. Fusion, April, 2024

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction.

Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu

CoRR, 2024

2023

MoCA: Incorporating domain pretraining and cross attention for textbook question answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang

Pattern Recognit., August, 2023

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering.

Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu

IEEE Trans. Circuits Syst. Video Technol., July, 2023

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification.

Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., June, 2023

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu

IEEE Trans. Knowl. Data Eng., April, 2023

Contrastive Graph Representations for Logical Formulas Embedding.

Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng

IEEE Trans. Knowl. Data Eng., April, 2023

Multitask Learning for Visual Question Answering.

Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You

IEEE Trans. Neural Networks Learn. Syst., March, 2023

Multi-source aggregated classification for stock price movement prediction.

Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria

Inf. Fusion, 2023

Fusing topology contexts and logical rules in language models for knowledge graph completion.

Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria

Inf. Fusion, 2023

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models.

Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu

CoRR, 2023

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria

CoRR, 2023

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views.

Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria

CoRR, 2023

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text.

Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang

CoRR, 2023

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.

Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning.

Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation.

Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera-Viedma

IEEE Trans. Intell. Transp. Syst., 2022

Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media.

Yu Mao, Yifan Zhu, Yiping Liu, Qika Lin, Hao Lu, Fuquan Zhang

Enterp. Inf. Syst., 2022

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning.

Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations.

Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks.

Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu

Knowl. Based Syst., 2021

Rule-enhanced iterative complementation for knowledge graph reasoning.

Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma

Inf. Sci., 2021

Improving University Faculty Evaluations via multi-view Knowledge Graph.

Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu

Future Gener. Comput. Syst., 2021

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan

CoRR, 2021

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning.

Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin

CoRR, 2021

2020

Jointly Optimized Neural Coreference Resolution with Mutual Attention.

Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Academic rising star prediction via scholar's evaluation model and machine learning techniques.

Yubing Nie, Yifan Zhu, Qika Lin, Sifan Zhang, Pengfei Shi, Zhendong Niu

Scientometrics, 2019

Lexical based automated teaching evaluation via students' short reviews.

Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu

Comput. Appl. Eng. Educ., 2019

Collective Intelligence: A Taxonomy and Survey.

Feijuan He, Yudai Pan, Qika Lin, Xianglin Miao, Zhouguo Chen

IEEE Access, 2019

2018

Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations.

Qika Lin, Yaoqiang Niu, Yifan Zhu, Hao Lu, Keith Zvikomborero Mushonga, Zhendong Niu

IEEE Access, 2018