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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 0001
![[0000-0002-3645-5520]](https://dblp1.uni-trier.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)
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2020 – today
- 2024
[j16]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)- [j15]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) - 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
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last updated on 2024-04-25 02:15 CEST by the dblp team
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