Rui Mao

According to our database, Rui Mao authored at least 63 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Explainable natural language processing for corporate sustainability analysis.

Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo

Inf. Fusion, 2025

A survey on pragmatic processing techniques.

Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria

Inf. Fusion, 2025

Natural language processing in finance: A survey.

Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria

Inf. Fusion, 2025

2024

Granular Syntax Processing with Multi-Task and Curriculum Learning.

Xulang Zhang, Rui Mao, Erik Cambria

Cogn. Comput., November, 2024

Guest Editorial: Cognitive Analysis for Humans and AI.

Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain

Cogn. Comput., November, 2024

Financial Sentiment Analysis: Techniques and Applications.

Kelvin Du, Frank Xing, Rui Mao, Erik Cambria

ACM Comput. Surv., September, 2024

Neurosymbolic AI for Mining Public Opinions about Wildfires.

Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria

Cogn. Comput., July, 2024

Quantitative stock portfolio optimization by multi-task learning risk and return.

Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria

Inf. Fusion, April, 2024

A survey on semantic processing techniques.

Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria

Inf. Fusion, January, 2024

A Wide Evaluation of ChatGPT on Affective Computing Tasks.

Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller

IEEE Trans. Affect. Comput., 2024

Interest-driven community detection on attributed heterogeneous information networks.

Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria

Inf. Fusion, 2024

Fusing pairwise modalities for emotion recognition in conversations.

Chunxiao Fan, Jie Lin, Rui Mao, Erik Cambria

Inf. Fusion, 2024

Can a large language model be a gaslighter?

Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You

CoRR, 2024

Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review.

Atika Qazi, Najmul Hasan, Rui Mao, Mohamed Elhag Mohamed Abo, Samrat Kumar Dey, Glenn Hardaker

IEEE Access, 2024

Medical Report Generation via Multimodal Spatio-Temporal Fusion.

Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria

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.

Xulang Zhang, Rui Mao, Erik Cambria

Proceedings of the International Joint Conference on Neural Networks, 2024

A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction.

Kelvin Du, Rui Mao, Frank Xing, Erik Cambria

Proceedings of the International Joint Conference on Neural Networks, 2024

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor.

Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis.

Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset.

Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GPTEval: A Survey on Assessments of ChatGPT and GPT-4.

Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Explainable Stock Price Movement Prediction using Contrastive Learning.

Kelvin Du, Rui Mao, Frank Xing, Erik Cambria

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis.

Xulang Zhang, Rui Mao, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.

Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

KnowleNet: Knowledge fusion network for multimodal sarcasm detection.

Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria

Inf. Fusion, December, 2023

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.

Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria

Inf. Fusion, December, 2023

A brief survey on recent advances in coreference resolution.

Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria

Artif. Intell. Rev., December, 2023

A survey on computational metaphor processing techniques: from identification, interpretation, generation to application.

Mengshi Ge, Rui Mao, Erik Cambria

Artif. Intell. Rev., November, 2023

A survey on syntactic processing techniques.

Xulang Zhang, Rui Mao, Erik Cambria

Artif. Intell. Rev., June, 2023

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection.

Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.

Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

Semantic matching in machine reading comprehension: An empirical study.

Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria

Inf. Process. Manag., 2023

Multi-source aggregated classification for stock price movement prediction.

Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria

Inf. Fusion, 2023

Fusing topology contexts and logical rules in language models for knowledge graph completion.

Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria

Inf. Fusion, 2023

Seven Pillars for the Future of Artificial Intelligence.

Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho

IEEE Intell. Syst., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.

Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

Expert Syst. Appl., 2023

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria

CoRR, 2023

A Comprehensive Review on Financial Explainable AI.

Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo

CoRR, 2023

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

Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria

CoRR, 2023

FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis.

Kelvin Du, Frank Xing, Rui Mao, Erik Cambria

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Multi-task Learning Model for Gold-two-mention Co-reference Resolution.

Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria

Proceedings of the International Joint Conference on Neural Networks, 2023

Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro.

Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria

Proceedings of the IEEE International Conference on Data Mining, 2023

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.

Xulang Zhang, Rui Mao, Kai He, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PAED: Zero-Shot Persona Attribute Extraction in Dialogues.

Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria

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.

Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria

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.

Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria

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.

Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria

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.

Wei Li, Luyao Zhu, Rui Mao, Erik Cambria

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

JCBIE: a joint continual learning neural network for biomedical information extraction.

Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li

BMC Bioinform., December, 2022

MetaPro: A computational metaphor processing model for text pre-processing.

Rui Mao, Xiao Li, Mengshi Ge, Erik Cambria

Inf. Fusion, 2022

Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence.

Cuc Duong, Qian Liu, Rui Mao, Erik Cambria

Proceedings of the International Joint Conference on Neural Networks, 2022

Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis.

Erik Cambria, Rui Mao, Sooji Han, Qian Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.

Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings.

Sooji Han, Rui Mao, Erik Cambria

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory.

Mengshi Ge, Rui Mao, Erik Cambria

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpreting Verbal Metaphors by Paraphrasing.

Rui Mao, Chenghua Lin, Frank Guerin

CoRR, 2021

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

Rui Mao, Chenghua Lin, Frank Guerin

CoRR, 2021

Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification.

Rui Mao, Xiao Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Computational metaphor processing.

Rui Mao

PhD thesis, 2020

2019

A Stable Variational Autoencoder for Text Modelling.

Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao

Proceedings of the 12th International Conference on Natural Language Generation, 2019

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories.

Rui Mao, Chenghua Lin, Frank Guerin

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.

Rui Mao, Guanyi Chen, Ruizhe Li, Chenghua Lin

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Word Embedding and WordNet Based Metaphor Identification and Interpretation.

Rui Mao, Chenghua Lin, Frank Guerin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018