Word Embedding and WordNet Based Metaphor Identification and Interpretation. - Rui Mao 010; Chenghua Lin; Frank Guerin (ACL (1), 2018)

ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. - Rui Mao 010; Guanyi Chen; Ruizhe Li 001; Chenghua Lin (SemEval@NAACL-HLT, 2018)

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories. - Rui Mao 010; Chenghua Lin; Frank Guerin (ACL (1), 2019)

A Stable Variational Autoencoder for Text Modelling. - Ruizhe Li 001; Xiao Li; Chenghua Lin; Matthew Collinson; Rui Mao 010 (INLG, 2019)

Computational metaphor processing. - Rui Mao 010 (2020)

Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. - Rui Mao 010; Xiao Li (AAAI, 2021)

Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification. - Rui Mao 010; Chenghua Lin; Frank Guerin (CoRR, 2021)

Interpreting Verbal Metaphors by Paraphrasing. - Rui Mao 010; Chenghua Lin; Frank Guerin (CoRR, 2021)

Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. - Mengshi Ge; Rui Mao 010; Erik Cambria (AAAI, 2022)

Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. - Sooji Han; Rui Mao 010; Erik Cambria (COLING, 2022)

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. - Yucheng Huang; Kai He 001; Yige Wang; Xianli Zhang; Tieliang Gong; Rui Mao 010; Chen Li 011 (COLING, 2022)

Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. - Erik Cambria; Rui Mao 010; Sooji Han; Qian Liu 012 (ICDM (Workshops), 2022)

Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. - Cuc Duong; Qian Liu 012; Rui Mao 010; Erik Cambria (IJCNN, 2022)

MetaPro: A computational metaphor processing model for text pre-processing. - Rui Mao 010; Xiao Li; Mengshi Ge; Erik Cambria (Inf. Fusion, 2022)

JCBIE: a joint continual learning neural network for biomedical information extraction. - Kai He 001; Rui Mao 010; Tieliang Gong; Erik Cambria; Chen Li 011 (BMC Bioinform., 2022)

SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. - Wei Li 076; Luyao Zhu; Rui Mao 010; Erik Cambria (AAAI, 2023)

MetaPro Online: A Computational Metaphor Processing Online System. - Rui Mao 010; Xiao Li; Kai He 001; Mengshi Ge; Erik Cambria (ACL (demo), 2023)

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. - Qika Lin; Jun Liu 002; Rui Mao 010; Fangzhi Xu; Erik Cambria (ACL (1), 2023)

Finding the Pillars of Strength for Multi-Head Attention. - Jinjie Ni; Rui Mao 010; Zonglin Yang 001; Han Lei; Erik Cambria (ACL (1), 2023)

PAED: Zero-Shot Persona Attribute Extraction in Dialogues. - Luyao Zhu; Wei Li 076; Rui Mao 010; Vlad Pandelea; Erik Cambria (ACL (1), 2023)

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. - Xulang Zhang; Rui Mao 010; Kai He 001; Erik Cambria (EMNLP (Findings), 2023)

Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. - Rui Mao 010; Kelvin Du; Yu Ma; Luyao Zhu; Erik Cambria (ICDM, 2023)

A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. - Ruicheng Liu; Guanyi Chen; Rui Mao 010; Erik Cambria (IJCNN, 2023)

FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. - Kelvin Du; Frank Xing; Rui Mao 010; Erik Cambria (SSCI, 2023)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey. - Zonglin Yang 001; Xinya Du; Rui Mao 010; Jinjie Ni; Erik Cambria (CoRR, 2023)

Virtual prompt pre-training for prototype-based few-shot relation extraction. - Kai He 001; Yucheng Huang; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (Expert Syst. Appl., 2023)

Seven Pillars for the Future of Artificial Intelligence. - Erik Cambria; Rui Mao 010; Melvin Chen; Zhaoxia Wang 001; Seng-Beng Ho (IEEE Intell. Syst., 2023)

Fusing topology contexts and logical rules in language models for knowledge graph completion. - Qika Lin; Rui Mao 010; Jun Liu 002; Fangzhi Xu; Erik Cambria (Inf. Fusion, 2023)

Multi-source aggregated classification for stock price movement prediction. - Yu Ma; Rui Mao 010; Qika Lin; Peng Wu; Erik Cambria (Inf. Fusion, 2023)

Semantic matching in machine reading comprehension: An empirical study. - Qian Liu 012; Rui Mao 010; Xiubo Geng; Erik Cambria (Inf. Process. Manag., 2023)

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. - Kai He 001; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. - Rui Mao 010; Qian Liu 012; Kai He 001; Wei Li 076; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

A survey on syntactic processing techniques. - Xulang Zhang; Rui Mao 010; Erik Cambria (Artif. Intell. Rev., 2023)

A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. - Mengshi Ge; Rui Mao 010; Erik Cambria (Artif. Intell. Rev., 2023)

A brief survey on recent advances in coreference resolution. - Ruicheng Liu; Rui Mao 010; Anh Tuan Luu; Erik Cambria (Artif. Intell. Rev., 2023)

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. - Jialun Wu; Kai He 001; Rui Mao 010; Chen Li 011; Erik Cambria (Inf. Fusion, 2023)

KnowleNet: Knowledge fusion network for multimodal sarcasm detection. - Tan Yue; Rui Mao 010; Heng Wang; Zonghai Hu; Erik Cambria (Inf. Fusion, 2023)

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. - Rui Mao 010; Kai He 001; Claudia Ong; Qian Liu 012; Erik Cambria (ACL (Findings), 2024)

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. - Xulang Zhang; Rui Mao 010; Erik Cambria (ACL (Findings), 2024)

RTL Agent: An Agent-Based Approach for Functionally Correct HDL Generation via LLMs. - Sriram Ranga; Rui Mao 010; Debjyoti Bhattacharjee; Erik Cambria; Anupam Chattopadhyay (ATS, 2024)

Explainable Stock Price Movement Prediction using Contrastive Learning. - Kelvin Du; Rui Mao 010; Frank Xing; Erik Cambria (CIKM, 2024)

GPTEval: A Survey on Assessments of ChatGPT and GPT-4. - Rui Mao 010; Guanyi Chen; Xulang Zhang; Frank Guerin; Erik Cambria (LREC/COLING, 2024)

SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. - Tan Yue; Xuzhao Shi; Rui Mao 010; Zonghai Hu; Erik Cambria (LREC/COLING, 2024)

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. - Luwei Xiao; Rui Mao 010; Xulang Zhang; Liang He; Erik Cambria (EMNLP (Findings), 2024)

SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing. - Erik Cambria; Xulang Zhang; Rui Mao 010; Melvin Chen; Kenneth Kwok (HCI (71), 2024)

Neurosymbolic AI for Personalized Sentiment Analysis. - Luyao Zhu; Rui Mao 010; Erik Cambria; Bernard J. Jansen (HCI (71), 2024)

Investigating the Role of Metaphors in Human-AI Conversation and Engagement. - Pragati Maheshwary; Qiawen Liu; Rui Mao 010 (ICDM (Workshops), 2024)

Sentiment Analysis on Climate Change for Sustainable Investment. - Keane Ong; Rui Mao 010; Deeksha Varshney; Ranjan Satapathy; Erik Cambria; Gianmarco Mengaldo (ICDM (Workshops), 2024)

Evaluating Vision Language Models in Detecting Learning Engagement. - Jayant Teotia; Xulang Zhang; Rui Mao 010; Erik Cambria (ICDM (Workshops), 2024)

Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. - Kaicheng Xue; Xulang Zhang; Rui Mao 010; Erik Cambria (ICDM (Workshops), 2024)

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. - Rui Mao 010; Qika Lin; Qiawen Liu; Gianmarco Mengaldo; Erik Cambria (IJCAI, 2024)

A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction. - Kelvin Du; Rui Mao 010; Frank Xing; Erik Cambria (IJCNN, 2024)

Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages. - Xulang Zhang; Rui Mao 010; Erik Cambria (IJCNN, 2024)

Medical Report Generation via Multimodal Spatio-Temporal Fusion. - Xin Mei; Rui Mao 010; Xiaoyan Cai; Libin Yang; Erik Cambria (ACM Multimedia, 2024)

Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review. - Atika Qazi; Najmul Hasan; Rui Mao 010; Mohamed Elhag Mohamed Abo; Samrat Kumar Dey; Glenn Hardaker (IEEE Access, 2024)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. - Qilong Wu; Xiaoneng Xiang; Hejia Huang; Xuan Wang; Rui Mao 010; Ranjan Satapathy; Ricardo Shirota Filho; Bharadwaj Veeravalli (CoRR, 2024)

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (CoRR, 2024)

Fusing pairwise modalities for emotion recognition in conversations. - Chunxiao Fan 002; Jie Lin; Rui Mao 010; Erik Cambria (Inf. Fusion, 2024)

Interest-driven community detection on attributed heterogeneous information networks. - Mengyue Liu; Jun Liu 002; Yixiang Dong; Rui Mao 010; Erik Cambria (Inf. Fusion, 2024)

A Wide Evaluation of ChatGPT on Affective Computing Tasks. - Mostafa M. Amin; Rui Mao 010; Erik Cambria; Björn W. Schuller (IEEE Trans. Affect. Comput., 2024)

A survey on semantic processing techniques. - Rui Mao 010; Kai He 001; Xulang Zhang; Guanyi Chen; Jinjie Ni; Zonglin Yang 001; Erik Cambria (Inf. Fusion, 2024)

Quantitative stock portfolio optimization by multi-task learning risk and return. - Yu Ma; Rui Mao 010; Qika Lin; Peng Wu; Erik Cambria (Inf. Fusion, 2024)

Neurosymbolic AI for Mining Public Opinions about Wildfires. - Cuc Duong; Vethavikashini Chithrra Raghuram; Amos Lee; Rui Mao 010; Gianmarco Mengaldo; Erik Cambria (Cogn. Comput., 2024)

Financial Sentiment Analysis: Techniques and Applications. - Kelvin Du; Frank Xing; Rui Mao 010; Erik Cambria (ACM Comput. Surv., 2024)

Guest Editorial: Cognitive Analysis for Humans and AI. - Rui Mao 010; Qian Liu 012; Xiao Li; Erik Cambria; Amir Hussain 001 (Cogn. Comput., 2024)

Granular Syntax Processing with Multi-Task and Curriculum Learning. - Xulang Zhang; Rui Mao 010; Erik Cambria (Cogn. Comput., 2024)

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. - Kai He 001; Rui Mao 010; Yucheng Huang; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. - Keane Ong; Rui Mao 010; Deeksha Varshney; Erik Cambria; Gianmarco Mengaldo (ACL (1), 2025)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (ACL (1), 2025)

QAEval: Mixture of Evaluators for Question-Answering Task Evaluation. - Tan Yue; Rui Mao 010; Xuzhao Shi; Shuo Zhan; Zuhao Yang; Dongyan Zhao 001 (ACL (1), 2025)

Can a Large Language Model be a Gaslighter? - Wei Li 076; Luyao Zhu; Yang Song; Ruixi Lin; Rui Mao 010; Yang You (ICLR, 2025)

The Plagiarism Singularity Conjecture. - Sriram Ranga; Rui Mao 010; Erik Cambria; Anupam Chattopadhyay (NAACL (Long Papers), 2025)

Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis. - Filippo Pallucchini; Xulang Zhang; Rui Mao 010; Erik Cambria (SAC, 2025)

Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. - Tiesunlong Shen; Rui Mao 010; Jin Wang 008; Xuejie Zhang 002; Erik Cambria (SIGIR, 2025)

Explainable, robust and fair user-centric AI system for the diagnosis and prognosis of severe pneumonia. - Wang Zhao 002; Dongxiao Gu; Rui Mao 010; Xiaoyu Wang; Xuejie Yang; Kaixuan Zhu; Hao Hu 004; Haimiao Mo; Erik Cambria (Electron. Commer. Res. Appl., 2025)

A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis. - Kelvin Du; Yazhi Zhao; Rui Mao 010; Frank Xing; Erik Cambria (IEEE Intell. Syst., 2025)

Natural language processing in finance: A survey. - Kelvin Du; Yazhi Zhao; Rui Mao 010; Frank Xing; Erik Cambria (Inf. Fusion, 2025)

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. - Kai He 001; Rui Mao 010; Qika Lin; Yucheng Ruan; Xiang Lan 004; Mengling Feng; Erik Cambria (Inf. Fusion, 2025)

A survey on pragmatic processing techniques. - Rui Mao 010; Mengshi Ge; Sooji Han; Wei Li 076; Kai He 001; Luyao Zhu; Erik Cambria (Inf. Fusion, 2025)

Explainable natural language processing for corporate sustainability analysis. - Keane Ong; Rui Mao 010; Ranjan Satapathy; Ricardo Shirota Filho; Erik Cambria; Johan Sulaeman; Gianmarco Mengaldo (Inf. Fusion, 2025)

Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces. - Tao Wang 049; Rui Mao 010; Shuang Liu 004; Erik Cambria; Dong Ming (Inf. Fusion, 2025)

Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. - Jialun Wu; Kai He 001; Rui Mao 010; Xuequn Shang 001; Erik Cambria (Inf. Fusion, 2025)

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. - Yuchen Zhang; Zeyu Gao 001; Kai He 001; Chen Li 011; Rui Mao 010 (Inf. Fusion, 2025)

MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition. - Sainan Zhang; Rui Mao 010; Jun Zhang 068; Luwei Xiao; Erik Cambria (Inf. Fusion, 2025)

ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis. - Keane Ong; Rui Mao 010; Frank Xing; Ranjan Satapathy; Johan Sulaeman; Erik Cambria; Gianmarco Mengaldo (CoRR, 2025)

Discovering the Cognitive Bias of Toxic Language Through Metaphorical Concept Mappings. - Mengshi Ge; Rui Mao 010; Erik Cambria (Cogn. Comput., 2025)

A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds. - Rui Mao 010; Guanyi Chen; Xiao Li; Mengshi Ge; Erik Cambria (Cogn. Comput., 2025)

Leveraging LLMS for Top-Down Sector Allocation In Automated Trading. - Ryan Quek Wei Heng; Edoardo Vittori; Keane Ong; Rui Mao 010; Erik Cambria; Gianmarco Mengaldo (CoRR, 2025)

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. - Jian Zhang 087; Zhiyuan Wang; Zhangqi Wang; Xinyu Zhang 021; Fangzhi Xu; Qika Lin; Rui Mao 010; Erik Cambria; Jun Liu 002 (CoRR, 2025)

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. - Luwei Xiao; Rui Mao 010; Shuai Zhao 007; Qika Lin; Yanhao Jia; Liang He; Erik Cambria (CoRR, 2025)

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics. - Deeksha Varshney; Keane Ong; Rui Mao 010; Erik Cambria; Gianmarco Mengaldo (CoRR, 2025)

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. - Wei Jie Yeo; Rui Mao 010; Moloud Abdar; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. - Keane Ong; Rui Mao 010; Deeksha Varshney; Paul Pu Liang; Erik Cambria; Gianmarco Mengaldo (CoRR, 2025)

A comprehensive review on financial explainable AI. - Wei Jie Yeo; Wihan van der Heever; Rui Mao 010; Erik Cambria; Ranjan Satapathy; Gianmarco Mengaldo (Artif. Intell. Rev., 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 2025)

A review of named entity recognition: from learning methods to modelling paradigms and tasks. - Wei Liang Seow; Iti Chaturvedi; Amber Hogarth; Rui Mao 010; Erik Cambria (Artif. Intell. Rev., 2025)

Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization. - Wenhui Hou; Kai He 001; Rui Mao 010; Jianqiang Wang; Xiaokang Wang; Mengling Feng (Expert Syst. Appl., 2026)

Legal knowledge infusion for large language models: A survey. - Qian Liu 012; Hang Yu 006; Qiqi Wang 015; Qi Xu; Jinpeng Li; Zhuoqun Zou; Rui Mao 010; Erik Cambria (Inf. Fusion, 2026)

TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling. - Jialun Wu; Xin Mei; Rui Mao 010; Kai He 001; Erik Cambria (Inf. Fusion, 2026)