2025
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond.
IEEE Trans. Knowl. Data Eng., April, 2025
ϕ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation.
CoRR, March, 2025
GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction.
CoRR, March, 2025
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.
CoRR, February, 2025
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.
CoRR, January, 2025
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.
CoRR, January, 2025
When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.
Neural Networks, 2025
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.
Inf. Fusion, 2025
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.
Inf. Fusion, 2025
2024
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation.
Cogn. Comput., November, 2024
Quantitative stock portfolio optimization by multi-task learning risk and return.
Inf. Fusion, April, 2024
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers.
CoRR, 2024
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging.
CoRR, 2024
Untargeted Adversarial Attack on Knowledge Graph Embeddings.
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.
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).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models.
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.
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.
Pattern Recognit., August, 2023
Spatial-Semantic Collaborative Graph Network for Textbook Question Answering.
IEEE Trans. Circuits Syst. Video Technol., July, 2023
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification.
IEEE Trans. Knowl. Data Eng., June, 2023
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network.
IEEE Trans. Knowl. Data Eng., April, 2023
Contrastive Graph Representations for Logical Formulas Embedding.
IEEE Trans. Knowl. Data Eng., April, 2023
Multitask Learning for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Multi-source aggregated classification for stock price movement prediction.
Inf. Fusion, 2023
Fusing topology contexts and logical rules in language models for knowledge graph completion.
Inf. Fusion, 2023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views.
CoRR, 2023
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning.
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.
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.
Enterp. Inf. Syst., 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning.
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.
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.
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.
Knowl. Based Syst., 2021
Rule-enhanced iterative complementation for knowledge graph reasoning.
Inf. Sci., 2021
Improving University Faculty Evaluations via multi-view Knowledge Graph.
Future Gener. Comput. Syst., 2021
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.
CoRR, 2021
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning.
CoRR, 2021
2020
Jointly Optimized Neural Coreference Resolution with Mutual Attention.
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.
Scientometrics, 2019
Lexical based automated teaching evaluation via students' short reviews.
Comput. Appl. Eng. Educ., 2019
Collective Intelligence: A Taxonomy and Survey.
IEEE Access, 2019
2018
Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations.
IEEE Access, 2018