Rui Mao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 47

Top Topics

Emotion Recognition

Logical Reasoning

Relation Extraction

Top Venues

Artif. Intell. Rev.

Publications

Xulang Zhang, Rui Mao, Erik Cambria
SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. ACL (Findings) (2024)
Chunxiao Fan, Jie Lin, Rui Mao, Erik Cambria
Fusing pairwise modalities for emotion recognition in conversations. Inf. Fusion 106 (2024)
Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Quantitative stock portfolio optimization by multi-task learning risk and return. Inf. Fusion 104 (2024)
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
A survey on semantic processing techniques. Inf. Fusion 101 (2024)
Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ACL (Findings) (2024)
Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria
SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. LREC/COLING (2024)
Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. LREC/COLING (2024)
Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111 (2024)
Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
Financial Sentiment Analysis: Techniques and Applications. ACM Comput. Surv. 56 (9) (2024)
Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR (2024)
Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. 16 (4) (2024)
Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (3) (2023)
Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
Logical Reasoning over Natural Language as Knowledge Representation: A Survey. CoRR (2023)
Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Multi-source aggregated classification for stock price movement prediction. Inf. Fusion 91 (2023)
Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria
Semantic matching in machine reading comprehension: An empirical study. Inf. Process. Manag. 60 (2) (2023)
Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria
A brief survey on recent advances in coreference resolution. Artif. Intell. Rev. 56 (12) (2023)
Xulang Zhang, Rui Mao, Erik Cambria
A survey on syntactic processing techniques. Artif. Intell. Rev. 56 (6) (2023)
Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria
MetaPro Online: A Computational Metaphor Processing Online System. ACL (demo) (2023)
Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria
KnowleNet: Knowledge fusion network for multimodal sarcasm detection. Inf. Fusion 100 (2023)
Xulang Zhang, Rui Mao, Kai He, Erik Cambria
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. EMNLP (Findings) (2023)
Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. SSCI (2023)
Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213 (Part) (2023)
Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
Seven Pillars for the Future of Artificial Intelligence. IEEE Intell. Syst. 38 (6) (2023)
Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. CoRR (2023)
Mengshi Ge, Rui Mao, Erik Cambria
A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. Artif. Intell. Rev. 56 (S2) (2023)
Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria
A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. IJCNN (2023)
Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) (2023)
Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Trans. Affect. Comput. 14 (3) (2023)
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
A Survey on Semantic Processing Techniques. CoRR (2023)
Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90 (2023)
Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
A Comprehensive Review on Financial Explainable AI. CoRR (2023)
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR (2023)
Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. ICDM (2023)
Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion 100 (2023)
Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria
PAED: Zero-Shot Persona Attribute Extraction in Dialogues. ACL (1) (2023)
Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller
A Wide Evaluation of ChatGPT on Affective Computing Tasks. CoRR (2023)
Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
Finding the Pillars of Strength for Multi-Head Attention. ACL (1) (2023)
Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
Finding the Pillars of Strength for Multi-Head Attention. CoRR (2023)
Wei Li, Luyao Zhu, Rui Mao, Erik Cambria
SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. AAAI (2023)
Cuc Duong, Qian Liu, Rui Mao, Erik Cambria
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. IJCNN (2022)
Mengshi Ge, Rui Mao, Erik Cambria
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. AAAI (2022)
Sooji Han, Rui Mao, Erik Cambria
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. COLING (2022)
Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING (2022)
Sooji Han, Rui Mao, Erik Cambria
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. CoRR (2022)
Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. 23 (1) (2022)
Erik Cambria, Rui Mao, Sooji Han, Qian Liu
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. ICDM (Workshops) (2022)
Rui Mao, Xiao Li, Mengshi Ge, Erik Cambria
MetaPro: A computational metaphor processing model for text pre-processing. Inf. Fusion (2022)