Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations. - Qika Lin; Yaoqiang Niu; Yifan Zhu 001; Hao Lu 002; Keith Zvikomborero Mushonga; Zhendong Niu (IEEE Access, 2018)

Collective Intelligence: A Taxonomy and Survey. - Feijuan He; Yudai Pan; Qika Lin; Xianglin Miao; Zhouguo Chen (IEEE Access, 2019)

Lexical based automated teaching evaluation via students' short reviews. - Qika Lin; Yifan Zhu 001; Sifan Zhang; Pengfei Shi; Qing Guo; Zhendong Niu (Comput. Appl. Eng. Educ., 2019)

Academic rising star prediction via scholar's evaluation model and machine learning techniques. - Yubing Nie; Yifan Zhu 001; Qika Lin; Sifan Zhang; Pengfei Shi; Zhendong Niu (Scientometrics, 2019)

Jointly Optimized Neural Coreference Resolution with Mutual Attention. - Jie Ma 001; Jun Liu 002; Yufei Li 002; Xin Hu; Yudai Pan; Shen Sun; Qika Lin (WSDM, 2020)

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Xin Hu; Tianzhe Zhao; Qika Lin (CoRR, 2021)

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan (CoRR, 2021)

Improving University Faculty Evaluations via multi-view Knowledge Graph. - Qika Lin; Yifan Zhu 001; Hao Lu 002; Kaize Shi; Zhendong Niu (Future Gener. Comput. Syst., 2021)

Rule-enhanced iterative complementation for knowledge graph reasoning. - Qika Lin; Jun Liu 002; Yudai Pan; Lingling Zhang 005; Xin Hu; Jie Ma 001 (Inf. Sci., 2021)

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Ping Qiu; Zhendong Niu (Knowl. Based Syst., 2021)

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qika Lin; Xin Hu; Qianying Wang (EMNLP, 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Fangzhi Xu; Jun Liu 002; Qika Lin; Yudai Pan; Lingling Zhang 005 (SIGIR, 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 001; Yiping Liu; Qika Lin; Hao Lu 002; Fuquan Zhang 001 (Enterp. Inf. Syst., 2022)

Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. - Hao Lu 002; Yifan Zhu 001; Qika Lin; Tan Wang; Zhendong Niu; Enrique Herrera-Viedma (IEEE Trans. Intell. Transp. Syst., 2022)

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. - Qika Lin; Jun Liu 002; Rui Mao 010; Fangzhi Xu; Erik Cambria (ACL (1), 2023)

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. - Yifan Zhu 001; Fangpeng Cong; Dan Zhang; Wenwen Gong; Qika Lin; Wenzheng Feng; Yuxiao Dong; Jie Tang 001 (KDD, 2023)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (CoRR, 2023)

Fusing topology contexts and logical rules in language models for knowledge graph completion. - Qika Lin; Rui Mao 010; Jun Liu 002; Fangzhi Xu; Erik Cambria (Inf. Fusion, 2023)

Multi-source aggregated classification for stock price movement prediction. - Yu Ma; Rui Mao 010; Qika Lin; Peng Wu; Erik Cambria (Inf. Fusion, 2023)

Multitask Learning for Visual Question Answering. - Jie Ma 001; Jun Liu 002; Qika Lin; Bei Wu; Yaxian Wang; Yang You 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Contrastive Graph Representations for Logical Formulas Embedding. - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (IEEE Trans. Knowl. Data Eng., 2023)

Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (IEEE Trans. Knowl. Data Eng., 2023)

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. - Lingling Zhang 005; Shaowei Wang; Jun Liu 002; Xiaojun Chang; Qika Lin; Yaqiang Wu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2023)

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Qika Lin; Lingling Zhang 005; Yaqiang Wu (IEEE Trans. Circuits Syst. Video Technol., 2023)

MoCA: Incorporating domain pretraining and cross attention for textbook question answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan; Yi Huang; Qianying Wang (Pattern Recognit., 2023)

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. - Fangzhi Xu; Qika Lin; Tianzhe Zhao; Jiawei Han 010; Jun Liu 002 (ACL (1), 2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. - Fangzhi Xu; Zhiyong Wu 003; Qiushi Sun; Siyu Ren; Fei Yuan 006; Shuai Yuan 018; Qika Lin; Yu Qiao 001; Jun Liu 002 (ACL (1), 2024)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. - Jian Zhang 087; Changlin Yang; Haiping Zhu; Qika Lin; Fangzhi Xu; Jun Liu 002 (LREC/COLING, 2024)

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (ICDE, 2024)

Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). - Yifan Zhu 001; Qika Lin; Hao Lu 002; Kaize Shi; Donglei Liu; James Chambua; Shanshan Wan; Zhendong Niu (ICDE, 2024)

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. - Rui Mao 010; Qika Lin; Qiawen Liu; Gianmarco Mengaldo; Erik Cambria (IJCAI, 2024)

Untargeted Adversarial Attack on Knowledge Graph Embeddings. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Qika Lin; Yuxia Geng; Jun Liu 002 (SIGIR, 2024)

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. - Jingying Ma; Qika Lin; Ziyu Jia; Mengling Feng (CoRR, 2024)

EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Ling Huang 003; Yucheng Xing; Qika Lin; Su Ruan; Mengling Feng (CoRR, 2024)

Quantitative stock portfolio optimization by multi-task learning risk and return. - Yu Ma; Rui Mao 010; Qika Lin; Peng Wu; Erik Cambria (Inf. Fusion, 2024)

Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation. - Hongcai Xu; Junpeng Bao; Qika Lin; Lifang Hou; Feng Chen (Cogn. Comput., 2024)

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. - Fangzhi Xu; Jun Liu 002; Qika Lin; Tianzhe Zhao; Jian Zhang 087; Lingling Zhang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark. - Kai He 001; Yucheng Huang; Wenqing Wang; Delong Ran; Dongming Sheng; Junxuan Huang; Qika Lin; Jiaxing Xu; Wenqiang Liu; Mengling Feng (ACL (1), 2025)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. - Qika Lin; Tianzhe Zhao; Kai He 001; Zhen Peng 005; Fangzhi Xu; Ling Huang 003; Jingying Ma; Mengling Feng (ACL (1), 2025)

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Jun Liu 002; Qika Lin; Zhiyong Wu 003 (ACL (1), 2025)

GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Lingling Zhang 005; Shuting He; Jun Li; Qika Lin (SIGIR, 2025)

Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Qika Lin; Yuxia Geng; Haiping Zhu; Yudai Pan; Jun Liu 002 (SIGIR, 2025)

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. - Kai He 001; Rui Mao 010; Qika Lin; Yucheng Ruan; Xiang Lan 004; Mengling Feng; Erik Cambria (Inf. Fusion, 2025)

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. - Qika Lin; Yifan Zhu 001; Xin Mei; Ling Huang 003; Jingying Ma; Kai He 001; Zhen Peng 005; Erik Cambria; Mengling Feng (Inf. Fusion, 2025)

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. - Zhen Peng 005; Yunfan Wang; Qika Lin; Bo Dong 001; Chao Shen (Neural Networks, 2025)

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. - Qika Lin; Kai He 001; Yifan Zhu 001; Fangzhi Xu; Erik Cambria; Mengling Feng (IEEE Trans. Image Process., 2025)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. - Haoran Luo 001; Haihong E; Yikai Guo; Qika Lin; Xiaobao Wu; Xinyu Mu; Wenhao Liu; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Qika Lin; Zhen Peng 005; Kaize Shi; Kai He 001; Yiming Xu 001; Erik Cambria; Mengling Feng (CoRR, 2025)

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction. - Jian Zhang 087; Bifan Wei; Shihao Qi; Haiping Zhu; Jun Liu 002; Qika Lin (CoRR, 2025)

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization. - Jian Zhang 087; Zhangqi Wang; Haiping Zhu; Jun Liu 002; Qika Lin; Erik Cambria (CoRR, 2025)

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. - Jian Zhang 087; Zhiyuan Wang; Zhangqi Wang; Xinyu Zhang 021; Fangzhi Xu; Qika Lin; Rui Mao 010; Erik Cambria; Jun Liu 002 (CoRR, 2025)

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation. - Haoran Luo 001; Haihong E; Guanting Chen 004; Yandan Zheng; Xiaobao Wu; Yikai Guo; Qika Lin; Yu Feng 015; Ze-min Kuang; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. - Luwei Xiao; Rui Mao 010; Shuai Zhao 007; Qika Lin; Yanhao Jia; Liang He; Erik Cambria (CoRR, 2025)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (IEEE Trans. Knowl. Data Eng., 2025)

Segment Any RGB-Thermal Model with Language-aided Distillation. - Dong Xing; Xianxun Zhu; Wei Zhou; Qika Lin; Hang Yang; Yuqing Wang (CoRR, 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, 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 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, 2025)

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Haiping Zhu; Nan Hu; Jun Liu 002; Qika Lin (CoRR, 2025)

MUR: Momentum Uncertainty guided Reasoning for Large Language Models. - Hang Yan 010; Fangzhi Xu; Rongman Xu; Yifei Li 006; Jian Zhang 087; Haoran Luo 001; Xiaobao Wu; Luu Anh Tuan; Haiteng Zhao; Qika Lin; Jun Liu 002 (CoRR, 2025)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. - Haoran Luo 001; Haihong E; Guanting Chen 004; Qika Lin; Yikai Guo; Fangzhi Xu; Ze-min Kuang; Meina Song; Xiaobao Wu; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. - Yiming Xu 001; Jiarun Chen; Zhen Peng 005; Zihan Chen; Qika Lin; Lan Ma; Bin Shi; Bo Dong 001 (CoRR, 2025)

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. - Zhan Gao; Ling Huang 003; Qika Lin; Bin Pu; Kai He 001; Mengling Feng; Kenli Li 001 (Inf. Fusion, 2026)