Rui Mao

According to our database, Rui Mao authored at least 43 papers between 2018 and 2024.

Collaborative distances:

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

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

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

A Wide Evaluation of ChatGPT on Affective Computing Tasks.

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

CoRR, 2023

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

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

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