I currently work as a Research Fellow in NUS. My research fields involve: Large Language Model, Vision Language Model, Knowledge Reasoning, and Robustness & Security. Moving forward, my focus will be on exploring the potential of AI in multimodal healthcare applications.

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

📚 Publications

✉: corresponding author,  ‡: co-first author

Preprint

• A3-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation.
  Jian Zhang, Yu He, Zhiyuan Wang, Zhangqi Wang, Kai He, Fangzhi Xu, Qika Lin, Jun Liu.
• MAXS: Meta-Adaptive Exploration with LLM Agents.
  Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He✉, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin✉, Jun Liu.
• Concept than Document: Context Compression via AMR-based Conceptual Entropy.
  Kaize Shi, Xueyao Sun, Xiaohui Tao, Lin Li, Qika Lin, Guandong Xu.
• Endoscopic Depth Estimation Based on Deep Learning: A Survey.
  Ke Niu, Zeyun Liu, Xue Feng, Heng Li, Qika Lin, Kaize Shi.
• Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint.
  Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng.
• A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.  
  Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng.
• Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. 
  Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Zemin Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan.
• 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.
• Towards Unified Neurosymbolic Reasoning on Knowledge Graphs.
  Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng.
• 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.
• Segment Any RGB-Thermal Model with Language-aided Distillation.
  Dong Xing, Xianxun Zhu, Wei Zhou, Qika Lin, Hang Yang, Yuqing Wang.
• 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.

2026

• WWW ScotRec: Social Chain-of-Thought LLM Reasoning for Recommendation.
  Kaibei Li, Jie Zou, Qika Lin, Weikang Guo, Qinyang He, Yang Yang.
• WWW Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis.
  Lei Zhao, Xingguo Lv, Qika Lin, Kaize Shi, Xiaoming Qi, Bin Pu, Kenli Li.
• IEEE TMM ConsisHOI: Identity-Preserving Human-Object Interaction Image Generation via Frequency-Aware Guidance.
  Caixia Yan, Yinghao Wang, Jiahao Wang, Qika Lin, Zhihui Li, Yugui Xie, Weizhan Zhang.
• AAAI MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. 
  Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu.
• AAAI MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization. 
  Jian Zhang, Zhangqi Wang, Haiping Zhu✉, Kangda Cheng, Kai He, Bo Li, Qika Lin✉, Jun Liu, Erik Cambria.
• AAAI MPA: Multimodal Prototype Augmentation for Few-Shot Learning.
  Liwen Wu, Wei Wang, Lei Zhao, Zhan Gao, Qika Lin, Shaowen Yao, Zuozhu Liu, Bin Pu

2025

• Information Fusion Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation.
  Tianzhe Zhao✉, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin✉.
• IEEE TFS EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers.
  Ling Huang✉, Yucheng Xing, Qika Lin✉, Su Ruan, Mengling Feng.
• NeurIPS 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, …, Yifan Zhu, Luu Anh Tuan.
• IEEE TCSS Guest Editorial: Multimodal Representation and Reasoning for Social Computing.
  Mengling Feng, Erik Cambria, Qika Lin✉, Kaize Shi, Weiping Li.
• EMNLP Demo InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care.
  Kai He, Qika Lin, Hao Fei, Eng Siong Chng, Dehan Hong, Marcus Eng Hock Ong, Mengling Feng.
• Information Fusion Domain-continual learning for multi-center anatomical detection via prompt-enhanced & densely-fused MedSAM.
  Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li.
• IEEE JBHI Improving Clinical Foundation Models with Multi-modal Learning and Domain Adaptation for Chronic Disease Prediction.
  Wenhui Hou, Jianqiang Wang, Qika Lin, Xiaokang Wang, Ling Huang.
• IEEE TNSE Estimating Node Abnormalities from Imprecise Subgraph-Level Supervision.
  Zhen Peng, Yunqi Xue, Yunfan Wang, Qika Lin, Chao Shen.
• MM 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.
• IEEE Intelligent Systems Finetuning Large Language Models with Behavioral Alignment for Depression Detection.
  Xifeng Ning, Hailu Sun, Dejun Yu, Chao Yang, Ruonan Fang, Lin Fan, Qika Lin, Yifan Zhu.
• ICCV 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.
• IEEE TFS External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation By Fuzzy Selection.
  Kai He, Jiaxing Xu, Qika Lin, Wenqing Wang, Zeyu Gao, Jialun Wu, Yucheng Huang, Mengling Feng.
• IEEE TNNLS End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning.
  Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen.
• ACL 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, et al.
• ACL 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✉.
• ACL Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with LLMs. 
  Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng.
• KDD Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies.
  Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen.
• ICML 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.
• IJCAI Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding.
  Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou, Meina Song.
• IJCAI STUSleepNet: A SpatialTemporal Coupling Prominence Network for MultiChannel Sleep Staging. 
  Jingying Ma, Qika Lin✉, Ziyu Jia✉, Mengling Feng.
• IEEE TAC 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.
• SIGIR 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.
• SIGIR Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. 
  Tianzhe Zhao✉, Jiaoyan Chen, Yanchi Ru, Qika Lin✉, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu✉.
• IEEE TFS Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis.
  Zhan Gao‡, Qika Lin‡, Huaxuan Wen, Bin Pu, Mengling Feng, Kenli Li.
• IEEE TIP Cross-modal Knowledge Diffusion-based Generation for Difference-aware Medical VQA.
  Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng.
• IEEE TKDE 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. 🏆 ESI Highly Cited
• Neural Networks When Bipartite Graph Learning Meets Anomaly Detection: Understand Abnormalities from Each Attribute.
  Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen.
• Information Fusion A Survey of LLMs for Healthcare: from Data, Technology, & Applications to Accountability & Ethics. 
  Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria. 🏆 ESI Highly Cited
• Information Fusion Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Survey. 
  Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng.

2024

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

2023

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

2022

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

2021 and before

• 计算机科学与探索 基于问句感知图卷积的教育知识库问答方法.
  蔺奇卡, 张玲玲, 刘均, 赵天哲. 2021.
• 数据分析与知识发现 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.
  王若琳, 牛振东, 蔺奇卡, 朱一凡, 邱萍, 陆浩, 刘东磊. 2021.
• Information Sciences Rule-Enhanced Iterative Complementation for Knowledge Graph Reasoning.
  Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma.
• FGCS Improving University Faculty Evaluation via Multiview Knowledge Graph.
  Qika Lin‡, Yifan Zhu‡, Hao Lu, Kaize Shi, Zhendong Niu.
• KBS Recommending Scientific Paper via Heterogeneous Knowledge Embedding based Attentive Recurrent Neural Networks.
  Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu.
• WSDM 2020 Jointly Optimized Neural Coreference Resolution with Mutual Attention.
  Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin.
• Scientometrics 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. 2019.

🎖 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.

🎤 Reports & Talks

• 2025.09 Report by MIT Technology Review: 专为胸部X光图像设计：科学家研发医学基础模型，提供清晰可追溯诊断依据.

🚨 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

• 2026.01 - present, Editorial Board Member in Information Fusion (IF 15.5).
• 2024.11 - present, Guest Editor of GenAI for Information Fusion in Information Fusion (IF 15.5).
• 2024.02 - 2024.11, Guest Editor (corresponding) of Multimodal Representation and Reasoning for Social Computing in IEEE Transactions on Computational Social Systems.

Journal Reviewer

• Flagship Journals: PNAS, PIEEE.
• Top-tier CS Journals: TPAMI, TKDE, TIP, AIJ, IJCV, TOIS, TMC, TDSC, TIFS, TNNLS, TFS, TCSVT, TKDD, TOSEM, TMM, IoT, etc.

Conference Service

• Area Chair (AC): ACL ARR’25-26, ICASSP’26, LREC’26, IJCNN’25.
• Senior Program Committee (SPC) Member: IJCAI’26.
• Program Committee Member: NeurIPS’24-25, ICLR’25-26, ICML’25, ACL’23-25, SIGIR’23-25, KDD’25-26, WWW’26, AISTATS’25, COLING’22-25, LOG’22-23, EMNLP’22-25, CIKM’24, IJCAI’25, etc.
• Publicity Chair of the International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA), 2025.
• Special Session Chair of Knowledge + Data Driven AI model for Understanding Social Behavioral-Based Data, in BESC 2025.
• Special Session Chair of Knowledge-driven Graph Learning for Social Behavioral and Medical Data, in BESC 2024.

🌏 Visitors