My primary research interests lie in knowledge acquisition, knowledge representation, and knowledge reasoning based on deep learning techniques. The ultimate goal of my research is to develop an artificial intelligence (AI) machine that can perceive, reason, and plan in real-world scenarios like humans. The research fields involve: Knowledge Graph (KG), Logical Reasoning, Multimodal Learning, and Large Language Model (LLM). Moving forward, my focus will be on exploring the potential of AI in multimodal healthcare and education applications.

I currently work as a Research Fellow in NUS. For my full (and timely) publication list, please refer to my Google scholar .

I am currently in the job market. If there are any available positions, please feel free to contact me.

🔥 News

• 2025.04: 🎉🎉Two papers are accepted by SIGIR 2025, Congrats to Yaxian and Tianzhe.
• 2025.04: 🥳🥳Our study of diffusion-based difference-aware medical VQA is accepted by IEEE TIP.
• 2025.01: 🥳🥳Our logical reasoning evaluation study of LLMs is accepted by IEEE TKDE.
• 2024.11: 🥳🥳Our survey paper on Multimodel Healthcare is accepted by Information Fusion (2023 IF 14.7).
• 2024.11: 🚀🚀CFPs: Our Special Issue of GenAI for Information Fusion in Information Fusion (2023 IF 14.7).
• 2024.02: 🚀🚀CFPs: Our Special Issue of Multimodal Representation and Reasoning for Social Computing in IEEE TCSS (2023 IF 4.5).

📚 Publications

✉: corresponding author,  ‡: co-first author

Preprint

• Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan, HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation. [Paper] [BibTeX]
• Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin✉, Rui Mao, Erik Cambria, Jun Liu✉, MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. [Paper] [BibTeX]
• Jian Zhang, Zhangqi Wang, Haiping Zhu, Jun Liu, Qika Lin✉, Erik Cambria✉, MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization. [Paper] [BibTeX]
• Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu✉, Qika Lin✉, Zhiyong Wu✉, ϕ -Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. [Paper] [BibTeX]
• Jian Zhang, Bifan Wei, Shihao Qi, Haiping Zhu, Jun Liu, Qika Lin✉, GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction. [Paper] [BibTeX]
• Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Luu Anh Tuan, KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. [Paper] [BibTeX]
• Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng, A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. [Paper] [BibTeX]
• Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng, Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. [Paper] [BibTeX]
• Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng, EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. [Paper] [BibTeX]
• Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng, STUSleepNet: A SpatialTemporal Coupling Prominence Network for MultiChannel Sleep Staging. [Paper] [BibTeX]

2025

• SIGIR 2025 GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. [CCF-A]
  Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin. [Paper] [BibTeX]
• SIGIR 2025 Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. [CCF-A]
  Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu. [Paper] [BibTeX]
• IEEE TFS Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis. [CCF-B]
  Zhan Gao‡, Qika Lin‡, Huaxuan Wen, Bin Pu, Mengling Feng, Kenli Li. [Paper] [BibTeX]
• IEEE TIP Cross-modal Knowledge Diffusion-based Generation for Difference-aware Medical VQA. [CCF-A]
  Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng. [Paper] [BibTeX]
• IEEE TKDE Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. [CCF-A]
  Fangzhi Xu‡, Qika Lin‡✉, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria. [Paper] [BibTeX] [Github]
• Neural Networks When Bipartite Graph Learning Meets Anomaly Detection in Attributed Networks: Understand Abnormalities from Each Attribute. [CCF-B]
  Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen. [Paper] [BibTeX]
• Information Fusion A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. [CAAI-A]
  Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria. [Paper] [BibTeX]
• Information Fusion Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. [CAAI-A]
  Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng. [Paper] [Code] [BibTeX]

2024

• ACL 2024 PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. [CCF-A]
  Fangzhi Xu, Qika Lin✉, Tianzhe Zhao, Jiawei Han, Jun Liu✉. [Paper] [BibTeX]
• ACL 2024 Symbol-LLM: Towards Foundational Symbolcentric Interface For Large Language Models. [CCF-A]
  Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu. [Paper] [Code] [BibTeX]
• IJCAI 2024 Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. [CCF-A]
  Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria. [Paper] [BibTeX]
• SIGIR 2024Untargeted Adversarial Attack on Knowledge Graph Embeddings. [CCF-A]
  Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng and Jun Liu. [Paper] [BibTeX]
• COLING 2024 A Semantic Mention Graph Augmented Model for DocumentLevel Event Argument Extraction. [CCF-B]
  Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu. [Paper] [BibTeX]
• ICDE 2024 Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).
  Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng. TKDE Poster. [Paper]
• ICDE 2024 Recommending Learning Objects through Attentive HGC and OperationAware Neural Network (Extended Abstract).
  Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu. TKDE Poster. [Paper]
• Cognitive Computation Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation.
  Hongcai Xu, Junpeng Bao, Qika Lin, Lifang Hou, Feng Chen. [Paper] [BibTeX]
• Information Fusion Quantitative stock portfolio optimization by multi-task learning risk and return. [CAAI-A]
  Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria. [Paper] [BibTeX]

2023

• ACL 2023 TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. [CCF-A]
  Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria. [Paper] [Code] [BibTeX]
• IEEE TKDE Contrastive Graph Representations for Logical Formulas Embedding. [CCF-A]
  Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng. [Paper] [BibTeX]
• IEEE TKDE Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. [CCF-A]
  Yifan Zhu‡, Qika Lin‡, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, and Zhendong Niu. [Paper]
• Information Fusion Fusing Topology Contexts and Logical Rules in Language Models for Knowledge Graph Completion. [CAAI-A]
  Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria. [Paper] [BibTeX]
• KDD 2023 WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. [CCF-A]
  Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, and Jie Tang. [Paper] [Code] [BibTeX]
• IEEE TKDE MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. [CCF-A]
  Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Zongyuan Ge, Qinghua Zheng. [Paper]
• IEEE TNNLS Mind Reasoning Manners: Enhancing Type Perception for Generalized Zeroshot Logical Reasoning over Text. [CCF-B]
  Fangzhi Xu, Jun Liu✉, Qika Lin✉, Tianzhe Zhao, Jian Zhang, Lingling Zhang. [Paper] [Code] [BibTeX]
• IEEE TNNLS Multitask Learning for Visual Question Answering. [CCF-B]
  Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You. [Paper] [BibTeX]
• Information Fusion Multi-source aggregated classification for stock price movement prediction. [CAAI-A]
  Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria. [Paper] [BibTeX]
• Pattern Recognition MoCA: Incorporating domain pretraining and cross attention for textbook question answering. [CCF-B]
  Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang. [Paper] [Code] [BibTeX]
• IEEE TCSVT Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. [CCF-B]
  Yaxian Wang, Bifan Wei, Jun Liu, Qika Lin, Lingling Zhang. [Paper] [BibTeX]

2022

• SIGIR 2022 Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. [CCF-A]
  Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao. [Paper] [Code] [BibTeX]
• SIGIR 2022 Logiformer: A TwoBranch Graph Transformer Network for Interpretable Logical Reasoning. [CCF-A]
  Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang. [Paper] [Code] [BibTeX]
• EMNLP 2022 Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. [CCF-B]
  Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang. [Paper] [Code] [BibTeX]
• IEEE TIST Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. [CCF-B]
  Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique HerreraViedma. [Paper] [BibTeX]

2021 and before

• 基于问句感知图卷积的教育知识库问答方法. [CCF-B]
  蔺奇卡, 张玲玲, 刘均, 赵天哲. 计算机科学与探索, 2021. [Paper]
• 基于异质信息嵌入与RNN聚类参数预测的作者姓名消歧方法. [CCF-C]
  王若琳, 牛振东, 蔺奇卡, 朱一凡, 邱萍, 陆浩, 刘东磊. 数据分析与知识发现, 2021. [Paper]
• Information Sciences 2021 Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning. [CCF-B]
  Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. [Paper] [BibTeX]
• FGCS 2021 Improving University Faculty Evaluation via Multiview Knowledge Graph. [CCF-C]
  Qika Lin‡, Yifan Zhu‡, Hao Lu, Kaize Shi, Zhendong Niu. [Paper] [BibTeX]
• KBS 2021 Recommending Scientific Paper via Heterogeneous Knowledge Embedding based Attentive Recurrent Neural Networks. [CCF-C]
  Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu. [Paper] [BibTeX]
• WSDM 2020 Jointly Optimized Neural Coreference Resolution with Mutual Attention. [CCF-B]
  Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin. [Paper]
• 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. [Paper]
• Lexical based automated teaching evaluation via students’ short reviews.
  Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu. Computer Applications in Engineering Education, 2019. [Paper]

🎖 Honors & Awards

• 2022.10 National Scholarship.
• 2022.10 Tencent Scholarship.
• 2022.04 ACM SIGIR Student Travel Grant.
• 2019.04 Innovation and Entrepreneurship Scholarship of Ministry of Industry and Information Technology.

🔍 Educations & Work Experiences

• 2023.09 - present, Research Fellow at SSHSPH, National University of Singapore, Singapore. (Supervisor: Prof. Mengling Feng)
• 2021.10 - 2022.10, Joint Ph.D. at CCDS, Nanyang Technological University, Singapore. (Supervisor: Prof. Erik Cambria)
• 2019.09 - 2023.06, Ph.D. at School of Computer Science and Technology, Xi’an Jiaotong University, Shannxi, China. (Supervisor: Prof. Jun Liu)
• 2016.09 - 2019.06, M.E. at School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China. (Supervisor: Prof. Zhendong Niu)
• 2012.09 - 2016.06, B.E. at School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing, China.

🎤 Academic Projects & Services

Academic Projects

• Research on Interpretable Artificial Intelligence Methods and Applications based on Neural-Symbolic Architecture.
  Fundamental Research Funds for the Central Universities of China. (￥40K, 2021.01-2022.12, director)

Editor Service

• 2024.11 - present, Guest Editor of GenAI for Information Fusion in Information Fusion.
• 2024.02 - 2024.11, Guest Editor (corresponding) of Multimodal Representation and Reasoning for Social Computing in IEEE Transactions on Computational Social Systems.
• 2023.10 - 2024.06, Guest Editor of Applied Artificial Intelligence Approach: Intelligent Data Processing and Mining with Online Behaviors in Electronics.

Journal Reviewer

• IEEE: IEEE Transactions on Pattern Analysis and Machine Intelligence (CCF-A), IEEE Transactions on Knowledge and Data Engineering (CCF-A), IEEE Transactions on Image Processing (CCF-A), IEEE Transactions on Mobile Computing (CCF-A), IEEE Transactions on Dependable and Secure Computing (CCF-A), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Multimedia, IEEE Transactions on Computational Social Systems, IEEE Internet of Things Journal, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Big Data, IEEE Intelligent Systems, etc.
• ACM: ACM Transactions on Software Engineering and Methodology (CCF-A), ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Intelligent Systems and Technology, etc.
• Springer: International Journal of Computer Vision (CCF-A), Cognitive Computation, etc.
• Elsevier: Artificial Intelligence (CCF-A), Information Fusion, Information Processing and Management, Neural Networks, Knowledge-Based Systems, Neurocomputing, etc.

Conference Service

• Area Chair: IJCNN’25.
• Special Session Chair of Knowledge + Data Driven AI model for Understanding Social Behavioral-Based Data, the International Conference on Behavioural and Social Computing (BESC), 2025.
• Special Session Chair of Knowledge-driven Graph Learning for Social Behavioral and Medical Data, the International Conference on Behavioural and Social Computing (BESC), 2024.
• Program Committee Member: COLING’22-25, LOG’22-23, EMNLP’22-24, ACL’23-25, SIGIR’23-25, CIKM’24, NeurIPS’24, ICLR’25, AISTATS’25, ICML’25, KDD’25, IJCAI’25, etc.

🌏 Visitors