Rui Mao

Orcid: 0000-0002-1082-8755

Affiliations:
  • Nanyang Technological University, Singapore
  • University of Aberdeen, Department of Computing Science, UK (PhD 2020)


According to our database1, Rui Mao authored at least 99 papers between 2018 and 2026.

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Bibliography

2026
TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling.
Inf. Fusion, 2026

Legal knowledge infusion for large language models: A survey.
Inf. Fusion, 2026

Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization.
Expert Syst. Appl., 2026

2025
A review of named entity recognition: from learning methods to modelling paradigms and tasks.
Artif. Intell. Rev., October, 2025

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs.
CoRR, July, 2025

A comprehensive review on financial explainable AI.
Artif. Intell. Rev., June, 2025

Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation.
CoRR, May, 2025

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads.
CoRR, May, 2025

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics.
CoRR, April, 2025

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis.
CoRR, April, 2025

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving.
CoRR, March, 2025

Leveraging LLMS for Top-Down Sector Allocation In Automated Trading.
CoRR, March, 2025

A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds.
Cogn. Comput., February, 2025

Discovering the Cognitive Bias of Toxic Language Through Metaphorical Concept Mappings.
Cogn. Comput., February, 2025

ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis.
CoRR, January, 2025

MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition.
Inf. Fusion, 2025

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology.
Inf. Fusion, 2025

Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare.
Inf. Fusion, 2025

Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces.
Inf. Fusion, 2025

Explainable natural language processing for corporate sustainability analysis.
Inf. Fusion, 2025

A survey on pragmatic processing techniques.
Inf. Fusion, 2025

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.
Inf. Fusion, 2025

Natural language processing in finance: A survey.
Inf. Fusion, 2025

A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis.
IEEE Intell. Syst., 2025

Explainable, robust and fair user-centric AI system for the diagnosis and prognosis of severe pneumonia.
Electron. Commer. Res. Appl., 2025

Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

The Plagiarism Singularity Conjecture.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Can a Large Language Model be a Gaslighter?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

QAEval: Mixture of Evaluators for Question-Answering Task Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Granular Syntax Processing with Multi-Task and Curriculum Learning.
Cogn. Comput., November, 2024

Guest Editorial: Cognitive Analysis for Humans and AI.
Cogn. Comput., November, 2024

Financial Sentiment Analysis: Techniques and Applications.
ACM Comput. Surv., September, 2024

Neurosymbolic AI for Mining Public Opinions about Wildfires.
Cogn. Comput., July, 2024

Quantitative stock portfolio optimization by multi-task learning risk and return.
Inf. Fusion, April, 2024

A survey on semantic processing techniques.
Inf. Fusion, January, 2024

A Wide Evaluation of ChatGPT on Affective Computing Tasks.
IEEE Trans. Affect. Comput., 2024

Interest-driven community detection on attributed heterogeneous information networks.
Inf. Fusion, 2024

Fusing pairwise modalities for emotion recognition in conversations.
Inf. Fusion, 2024

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.
CoRR, 2024

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation.
CoRR, 2024

Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review.
IEEE Access, 2024

Medical Report Generation via Multimodal Spatio-Temporal Fusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2024

Evaluating Vision Language Models in Detecting Learning Engagement.
Proceedings of the IEEE International Conference on Data Mining, 2024

Sentiment Analysis on Climate Change for Sustainable Investment.
Proceedings of the IEEE International Conference on Data Mining, 2024

Investigating the Role of Metaphors in Human-AI Conversation and Engagement.
Proceedings of the IEEE International Conference on Data Mining, 2024

Neurosymbolic AI for Personalized Sentiment Analysis.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GPTEval: A Survey on Assessments of ChatGPT and GPT-4.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Explainable Stock Price Movement Prediction using Contrastive Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RTL Agent: An Agent-Based Approach for Functionally Correct HDL Generation via LLMs.
Proceedings of the 33rd IEEE Asian Test Symposium, 2024

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
KnowleNet: Knowledge fusion network for multimodal sarcasm detection.
Inf. Fusion, December, 2023

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.
Inf. Fusion, December, 2023

A brief survey on recent advances in coreference resolution.
Artif. Intell. Rev., December, 2023

A survey on computational metaphor processing techniques: from identification, interpretation, generation to application.
Artif. Intell. Rev., November, 2023

A survey on syntactic processing techniques.
Artif. Intell. Rev., June, 2023

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection.
IEEE Trans. Affect. Comput., 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Semantic matching in machine reading comprehension: An empirical study.
Inf. Process. Manag., 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

Seven Pillars for the Future of Artificial Intelligence.
IEEE Intell. Syst., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.
Expert Syst. Appl., 2023

Logical Reasoning over Natural Language as Knowledge Representation: A Survey.
CoRR, 2023

FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Multi-task Learning Model for Gold-two-mention Co-reference Resolution.
Proceedings of the International Joint Conference on Neural Networks, 2023

Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro.
Proceedings of the IEEE International Conference on Data Mining, 2023

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PAED: Zero-Shot Persona Attribute Extraction in Dialogues.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Finding the Pillars of Strength for Multi-Head Attention.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

MetaPro Online: A Computational Metaphor Processing Online System.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
JCBIE: a joint continual learning neural network for biomedical information extraction.
BMC Bioinform., December, 2022

MetaPro: A computational metaphor processing model for text pre-processing.
Inf. Fusion, 2022

Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence.
Proceedings of the International Joint Conference on Neural Networks, 2022

Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Interpreting Verbal Metaphors by Paraphrasing.
CoRR, 2021

Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification.
CoRR, 2021

Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Computational metaphor processing.
PhD thesis, 2020

2019
A Stable Variational Autoencoder for Text Modelling.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Word Embedding and WordNet Based Metaphor Identification and Interpretation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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