Qika Lin

According to our database, Qika Lin authored at least 64 papers between 2018 and 2026.

Collaborative distances:

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

2026

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM.

Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li

Inf. Fusion, 2026

2025

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.

Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong

CoRR, August, 2025

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Ze-min Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan

CoRR, July, 2025

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu

CoRR, July, 2025

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin

CoRR, July, 2025

Synergistic Prompting for Robust Visual Recognition with Missing Modalities.

Zhihui Zhang, Luanyuan Dai, Qika Lin, Yunfeng Diao, Guangyin Jin, Yufei Guo, Jing Zhang, Xiaoshuai Hao

CoRR, July, 2025

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs.

Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng

CoRR, July, 2025

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model.

Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng

CoRR, June, 2025

Segment Any RGB-Thermal Model with Language-aided Distillation.

Dong Xing, Xianxun Zhu, Wei Zhou, Qika Lin, Hang Yang, Yuqing Wang

CoRR, May, 2025

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond.

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

IEEE Trans. Knowl. Data Eng., April, 2025

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis.

Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria

CoRR, April, 2025

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Ze-min Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, March, 2025

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving.

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin, Rui Mao, Erik Cambria, Jun Liu

CoRR, March, 2025

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization.

Jian Zhang, Zhangqi Wang, Haiping Zhu, Jun Liu, Qika Lin, Erik Cambria

CoRR, March, 2025

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction.

Jian Zhang, Bifan Wei, Shihao Qi, Haiping Zhu, Jun Liu, Qika Lin

CoRR, March, 2025

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.

Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng

CoRR, February, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, January, 2025

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA.

Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng

IEEE Trans. Image Process., 2025

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.

Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen

Neural Networks, 2025

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.

Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng

Inf. Fusion, 2025

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

Inf. Fusion, 2025

Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering.

Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation.

Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.

Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark.

Kai He, Yucheng Huang, Wenqing Wang, Delong Ran, Dongming Sheng, Junxuan Huang, Qika Lin, Jiaxing Xu, Wenqiang Liu, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation.

Hongcai Xu, Junpeng Bao, Qika Lin, Lifang Hou, Feng Chen

Cogn. Comput., November, 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

EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers.

Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng

CoRR, 2024

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging.

Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng

CoRR, 2024

Untargeted Adversarial Attack on Knowledge Graph Embeddings.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor.

Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract).

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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

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