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ORCIDRui Mao 0010
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2020): University of Aberdeen, Department of Computing Science, UK
Other persons with the same name
- Rui Mao — disambiguation page
- Rui Mao 0001
![[0000-0002-3645-5520]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3645-5520")
— Shenzhen University, College of Computer Science and Software Engineering / National Engineering Laboratory for Big Data System Computing Technology, China (and 1 more) - Rui Mao 0003 — Shanghai Lixin University of Accounting and Finance, China (and 1 more)
- Rui Mao 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Rui Mao 0005 — Zhengzhou Electric Power College, China
- Rui Mao 0006 — 93617 Troop of the PLA, Beijing, China
- Rui Mao 0007 — Northeastern University, School of Computer Science & Engineering, Shenyang, China
- Rui Mao 0008 — Beijing Normal University, Faculty of Geographic Sciences, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
- Rui Mao 0009 — Peking University, State Key Laboratory for Turbulence and Complex Systems / Intelligent Biomimetic Design Lab, Beijing, China
- Rui Mao 0011 — Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- Rui Mao 0012 — Northwest A&F University, College of Information Engineering, Yangling, China
- Rui Mao 0013 — Zhejiang University, Huzhou Institute, China (and 1 more)
- Rui Mao 0014 — Anhui Agriculture University, School of Information and Computing, Hefei, China
- Rui Mao 0015 — Soochow University, School of Computer Science and Technology, Suzhou, China
- Rui Mao 0016 — Inner Mongolia University of Technology, Hohhot, China
- Rui Mao 0017 — University of Rochester, NY, USA
- Rui Mao 0018 — University of Science and Technology of China, MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, Hefei, China
- Rui Mao 0019 — Nanjing University, School of Management and Engineering, China
- Rui Mao 0020 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
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2020 – today
- 2026
[j43]Wenhui Hou, Kai He, Rui Mao, Jianqiang Wang, Xiaokang Wang, Mengling Feng:
Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization. Expert Syst. Appl. 296: 129088 (2026)- [j42]Qian Liu, Hang Yu, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao, Erik Cambria:
Legal knowledge infusion for large language models: A survey. Inf. Fusion 125: 103426 (2026) - [j41]Jialun Wu, Xin Mei, Rui Mao, Kai He, Erik Cambria:
TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling. Inf. Fusion 126: 103620 (2026) - 2025
- [j40]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo:
A comprehensive review on financial explainable AI. Artif. Intell. Rev. 58(6): 189 (2025) - [j39]Wei Liang Seow, Iti Chaturvedi, Amber Hogarth, Rui Mao, Erik Cambria:
A review of named entity recognition: from learning methods to modelling paradigms and tasks. Artif. Intell. Rev. 58(10): 315 (2025) - [j38]Rui Mao, Guanyi Chen, Xiao Li, Mengshi Ge, Erik Cambria:
A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds. Cogn. Comput. 17(1): 35 (2025) - [j37]Mengshi Ge, Rui Mao, Erik Cambria:
Discovering the Cognitive Bias of Toxic Language Through Metaphorical Concept Mappings. Cogn. Comput. 17(1): 65 (2025) - [j36]Wang Zhao, Dongxiao Gu, Rui Mao, Xiaoyu Wang, Xuejie Yang, Kaixuan Zhu, Hao Hu, Haimiao Mo, Erik Cambria:
Explainable, robust and fair user-centric AI system for the diagnosis and prognosis of severe pneumonia. Electron. Commer. Res. Appl. 71: 101499 (2025) - [j35]Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria:
A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis. IEEE Intell. Syst. 40(2): 15-22 (2025) - [j34]Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria:
A survey on pragmatic processing techniques. Inf. Fusion 114: 102712 (2025) - [j33]Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo:
Explainable natural language processing for corporate sustainability analysis. Inf. Fusion 115: 102726 (2025) - [j32]Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria:
Natural language processing in finance: A survey. Inf. Fusion 115: 102755 (2025) - [j31]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. Inf. Fusion 118: 102963 (2025) - [j30]Tao Wang, Rui Mao, Shuang Liu, Erik Cambria, Dong Ming:
Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces. Inf. Fusion 118: 102971 (2025) - [j29]Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao:
From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. Inf. Fusion 119: 103027 (2025) - [j28]Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria:
Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. Inf. Fusion 123: 103283 (2025) - [j27]Sainan Zhang, Rui Mao, Jun Zhang, Luwei Xiao, Erik Cambria:
MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition. Inf. Fusion 124: 103335 (2025) - [j26]Kangda Cheng, Jinlong Liu, Rui Mao, Zhilu Wu, Erik Cambria:
CSA-RSIC: Cross-Modal Semantic Alignment for Remote Sensing Image Captioning. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [c44]Tan Yue, Rui Mao, Xuzhao Shi, Shuo Zhan, Zuhao Yang, Dongyan Zhao:
QAEval: Mixture of Evaluators for Question-Answering Task Evaluation. ACL (1) 2025: 14717-14730 - [c43]Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo:
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. ACL (1) 2025: 14854-14879 - [c42]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. ACL (1) 2025: 18403-18419 - [c41]Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You:
Can a Large Language Model be a Gaslighter? ICLR 2025 - [c40]Sriram Ranga, Rui Mao, Erik Cambria, Anupam Chattopadhyay:
The Plagiarism Singularity Conjecture. NAACL (Long Papers) 2025: 10245-10255 - [c39]Filippo Pallucchini, Xulang Zhang, Rui Mao, Erik Cambria:
Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis. SAC 2025: 131-137 - [c38]Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria:
Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. SIGIR 2025: 1165-1175 - [i25]Keane Ong, Rui Mao, Frank Xing, Ranjan Satapathy, Johan Sulaeman, Erik Cambria, Gianmarco Mengaldo:
ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis. CoRR abs/2501.15720 (2025) - [i24]Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo:
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. CoRR abs/2502.15821 (2025) - [i23]Ryan Quek Wei Heng, Edoardo Vittori, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo:
Leveraging LLMS for Top-Down Sector Allocation In Automated Trading. CoRR abs/2503.09647 (2025) - [i22]Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin, Rui Mao, Erik Cambria, Jun Liu:
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. CoRR abs/2503.16905 (2025) - [i21]Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria:
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. CoRR abs/2504.15848 (2025) - [i20]Deeksha Varshney, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo:
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics. CoRR abs/2504.19066 (2025) - [i19]Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy:
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. CoRR abs/2505.17425 (2025) - [i18]Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo:
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. CoRR abs/2505.19430 (2025) - [i17]Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng:
Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. CoRR abs/2507.03697 (2025) - [i16]Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain:
Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science. CoRR abs/2508.20674 (2025) - 2024
- [j25]Atika Qazi, Najmul Hasan, Rui Mao, Mohamed Elhag Mohamed Abo, Samrat Kumar Dey, Glenn Hardaker:
Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review. IEEE Access 12: 143485-143499 (2024) - [j24]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): 1531-1553 (2024) - [j23]Xulang Zhang, Rui Mao, Erik Cambria:
Granular Syntax Processing with Multi-Task and Curriculum Learning. Cogn. Comput. 16(6): 3020-3034 (2024) - [j22]Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain:
Guest Editorial: Cognitive Analysis for Humans and AI. Cogn. Comput. 16(6): 3316-3318 (2024) - [j21]Kelvin Du, Frank Xing, Rui Mao, Erik Cambria:
Financial Sentiment Analysis: Techniques and Applications. ACM Comput. Surv. 56(9): 220:1-220:42 (2024) - [j20]Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria:
A survey on semantic processing techniques. Inf. Fusion 101: 101988 (2024) - [j19]Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria:
Quantitative stock portfolio optimization by multi-task learning risk and return. Inf. Fusion 104: 102165 (2024) - [j18]Chunxiao Fan, Jie Lin, Rui Mao, Erik Cambria:
Fusing pairwise modalities for emotion recognition in conversations. Inf. Fusion 106: 102306 (2024) - [j17]Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria:
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111: 102525 (2024) - [j16]Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller:
A Wide Evaluation of ChatGPT on Affective Computing Tasks. IEEE Trans. Affect. Comput. 15(4): 2204-2212 (2024) - [j15]Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria:
Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18357-18369 (2024) - [c37]Xulang Zhang, Rui Mao, Erik Cambria:
SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. ACL (Findings) 2024: 4851-4863 - [c36]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: 9891-9908 - [c35]Sriram Ranga, Rui Mao, Debjyoti Bhattacharjee, Erik Cambria, Anupam Chattopadhyay:
RTL Agent: An Agent-Based Approach for Functionally Correct HDL Generation via LLMs. ATS 2024: 1-6 - [c34]Kelvin Du, Rui Mao, Frank Xing, Erik Cambria:
Explainable Stock Price Movement Prediction using Contrastive Learning. CIKM 2024: 529-537 - [c33]Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria:
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. LREC/COLING 2024: 7844-7866 - [c32]Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria:
SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. LREC/COLING 2024: 14325-14335 - [c31]Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria:
Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. EMNLP (Findings) 2024: 11486-11500 - [c30]Erik Cambria, Xulang Zhang, Rui Mao, Melvin Chen, Kenneth Kwok:
SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing. HCI (71) 2024: 197-216 - [c29]Luyao Zhu, Rui Mao, Erik Cambria, Bernard J. Jansen:
Neurosymbolic AI for Personalized Sentiment Analysis. HCI (71) 2024: 269-290 - [c28]Pragati Maheshwary, Qiawen Liu, Rui Mao:
Investigating the Role of Metaphors in Human-AI Conversation and Engagement. ICDM (Workshops) 2024: 471-478 - [c27]Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo:
Sentiment Analysis on Climate Change for Sustainable Investment. ICDM (Workshops) 2024: 479-486 - [c26]Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria:
Evaluating Vision Language Models in Detecting Learning Engagement. ICDM (Workshops) 2024: 496-502 - [c25]Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria:
Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. ICDM (Workshops) 2024: 521-528 - [c24]Kelvin Du, Frank Xing, Rui Mao, Erik Cambria:
An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis. CAI 2024: 189-194 - [c23]Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria:
Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. IJCAI 2024: 7394-7402 - [c22]Kelvin Du, Rui Mao, Frank Xing, Erik Cambria:
A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction. IJCNN 2024: 1-8 - [c21]Xulang Zhang, Rui Mao, Erik Cambria:
Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages. IJCNN 2024: 1-9 - [c20]Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria:
Medical Report Generation via Multimodal Spatio-Temporal Fusion. ACM Multimedia 2024: 4699-4708 - [i15]Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo:
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR abs/2407.17487 (2024) - [i14]Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You:
Can a large language model be a gaslighter? CoRR abs/2410.09181 (2024) - [i13]Qilong Wu, Xiaoneng Xiang, Hejia Huang, Xuan Wang, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Bharadwaj Veeravalli:
SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. CoRR abs/2412.10906 (2024) - [i12]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. CoRR abs/2412.13670 (2024) - 2023
- [j14]Xulang Zhang, Rui Mao, Erik Cambria:
A survey on syntactic processing techniques. Artif. Intell. Rev. 56(6): 5645-5728 (2023) - [j13]Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria:
A brief survey on recent advances in coreference resolution. Artif. Intell. Rev. 56(12): 14439-14481 (2023) - [j12]Mengshi Ge, Rui Mao, Erik Cambria:
A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. Artif. Intell. Rev. 56(S2): 1829-1895 (2023) - [j11]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): 118927 (2023) - [j10]Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho:
Seven Pillars for the Future of Artificial Intelligence. IEEE Intell. Syst. 38(6): 62-69 (2023) - [j9]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: 253-264 (2023) - [j8]Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria:
Multi-source aggregated classification for stock price movement prediction. Inf. Fusion 91: 515-528 (2023) - [j7]Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria:
KnowleNet: Knowledge fusion network for multimodal sarcasm detection. Inf. Fusion 100: 101921 (2023) - [j6]Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria:
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion 100: 101939 (2023) - [j5]Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria:
Semantic matching in machine reading comprehension: An empirical study. Inf. Process. Manag. 60(2): 103145 (2023) - [j4]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): 1731-1742 (2023) - [j3]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): 1743-1753 (2023) - [c19]Wei Li, Luyao Zhu, Rui Mao, Erik Cambria:
SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. AAAI 2023: 13121-13129 - [c18]Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria:
MetaPro Online: A Computational Metaphor Processing Online System. ACL (demo) 2023: 127-135 - [c17]Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria:
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) 2023: 1281-1293 - [c16]Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria:
PAED: Zero-Shot Persona Attribute Extraction in Dialogues. ACL (1) 2023: 9771-9787 - [c15]Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria:
Finding the Pillars of Strength for Multi-Head Attention. ACL (1) 2023: 14526-14540 - [c14]Xulang Zhang, Rui Mao, Kai He, Erik Cambria:
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. EMNLP (Findings) 2023: 8772-8783 - [c13]Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria:
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. ICDM 2023: 1211-1216 - [c12]Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria:
A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. IJCNN 2023: 1-8 - [c11]Kelvin Du, Frank Xing, Rui Mao, Erik Cambria:
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. SSCI 2023: 109-114 - [i11]Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria:
Logical Reasoning over Natural Language as Knowledge Representation: A Survey. CoRR abs/2303.12023 (2023) - [i10]Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria:
Finding the Pillars of Strength for Multi-Head Attention. CoRR abs/2305.14380 (2023) - [i9]Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria:
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. CoRR abs/2308.12488 (2023) - [i8]Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller:
A Wide Evaluation of ChatGPT on Affective Computing Tasks. CoRR abs/2308.13911 (2023) - [i7]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo:
A Comprehensive Review on Financial Explainable AI. CoRR abs/2309.11960 (2023) - [i6]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 abs/2310.05694 (2023) - [i5]Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria:
A Survey on Semantic Processing Techniques. CoRR abs/2310.18345 (2023) - 2022
- [j2]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): 549 (2022) - [j1]Rui Mao, Xiao Li, Mengshi Ge, Erik Cambria:
MetaPro: A computational metaphor processing model for text pre-processing. Inf. Fusion 86-87: 30-43 (2022) - [c10]Mengshi Ge, Rui Mao, Erik Cambria:
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. AAAI 2022: 10681-10689 - [c9]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. COLING 2022: 94-104 - [c8]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: 2515-2527 - [c7]Erik Cambria, Rui Mao, Sooji Han, Qian Liu:
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. ICDM (Workshops) 2022: 1-8 - [c6]Cuc Duong, Qian Liu, Rui Mao, Erik Cambria:
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. IJCNN 2022: 1-9 - [i4]Sooji Han, Rui Mao, Erik Cambria:
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. CoRR abs/2209.07494 (2022) - 2021
- [c5]Rui Mao, Xiao Li:
Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. AAAI 2021: 13534-13542 - [i3]Rui Mao, Chenghua Lin, Frank Guerin:
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification. CoRR abs/2104.03285 (2021) - [i2]Rui Mao, Chenghua Lin, Frank Guerin:
Interpreting Verbal Metaphors by Paraphrasing. CoRR abs/2104.03391 (2021) - 2020
- [b1]Rui Mao:
Computational metaphor processing. University of Aberdeen, UK, 2020
2010 – 2019
- 2019
- [c4]Rui Mao, Chenghua Lin, Frank Guerin:
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories. ACL (1) 2019: 3888-3898 - [c3]Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. INLG 2019: 594-599 - [i1]Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. CoRR abs/1911.05343 (2019) - 2018
- [c2]Rui Mao, Chenghua Lin, Frank Guerin:
Word Embedding and WordNet Based Metaphor Identification and Interpretation. ACL (1) 2018: 1222-1231 - [c1]Rui Mao, Guanyi Chen, Ruizhe Li, Chenghua Lin:
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. SemEval@NAACL-HLT 2018: 1017-1021
Coauthor Index
[j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j28] [j27] [j26] [c43] [c40] [c39] [c38] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j2] [j1] [c10] [c9] [c7] [c6] [i4]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-10-15 00:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
