Qika Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Graph Representations

Logical Reasoning

Question Answering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Quantitative stock portfolio optimization by multi-task learning risk and return. Inf. Fusion 104 (2024)
Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
Untargeted Adversarial Attack on Knowledge Graph Embeddings. CoRR (2024)
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR (2024)
Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
Untargeted Adversarial Attack on Knowledge Graph Embeddings. SIGIR (2024)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. ACL (1) (2024)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). ICDE (2024)
Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. LREC/COLING (2024)
Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). ICDE (2024)
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) (2024)
Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. CoRR (2024)
Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. CoRR (2023)
Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
Contrastive Graph Representations for Logical Formulas Embedding. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You
Multitask Learning for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Multi-source aggregated classification for stock price movement prediction. Inf. Fusion 91 (2023)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. CoRR (2023)
Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD (2023)
Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang, Yaqiang Wu
Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE Trans. Circuits Syst. Video Technol. 33 (7) (2023)
Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) (2023)
Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90 (2023)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR (2023)
Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. CoRR (2023)
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang
MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognit. 140 (2023)
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR (2022)
Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. EMNLP (2022)
Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera-Viedma
Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. CoRR (2022)
Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR (2022)
Yu Mao, Yifan Zhu, Yiping Liu, Qika Lin, Hao Lu, Fuquan Zhang
Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media. Enterp. Inf. Syst. 16 (8-9) (2022)
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. CoRR (2021)
Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117 (2021)
Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma
Rule-enhanced iterative complementation for knowledge graph reasoning. Inf. Sci. 575 (2021)
Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. CoRR (2021)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowl. Based Syst. 215 (2021)
Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin
Jointly Optimized Neural Coreference Resolution with Mutual Attention. WSDM (2020)
Feijuan He, Yudai Pan, Qika Lin, Xianglin Miao, Zhouguo Chen
Collective Intelligence: A Taxonomy and Survey. IEEE Access 7 (2019)
Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu
Lexical based automated teaching evaluation via students' short reviews. Comput. Appl. Eng. Educ. 27 (1) (2019)
Yubing Nie, Yifan Zhu, Qika Lin, Sifan Zhang, Pengfei Shi, Zhendong Niu
Academic rising star prediction via scholar's evaluation model and machine learning techniques. Scientometrics 120 (2) (2019)
Qika Lin, Yaoqiang Niu, Yifan Zhu, Hao Lu, Keith Zvikomborero Mushonga, Zhendong Niu
Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations. IEEE Access 6 (2018)