Rui Mao

Rui Mao

University of Aberdeen

H-index: 17

Europe-United Kingdom

About Rui Mao

Rui Mao, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Aberdeen, specializes in the field of Computational Linguistics, Cognitive Computing, Sentic Computing, Metaphor, Quantitative Finance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantitative Stock Portfolio Optimization by Multi-task Learning Risk and Return

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

A Survey on Semantic Processing Techniques

Fusing Pairwise Modalities for Emotion Recognition in Conversations

SenticNet 8: Fusing emotion AI and commonsense AI for interpretable, trustworthy, and explainable affective computing

Financial Sentiment Analysis: Techniques and Applications

Granular Syntax Processing with Multi-task and Curriculum Learning

A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction

Rui Mao Information

University

Position

___

Citations(all)

954

Citations(since 2020)

953

Cited By

72

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Rui Mao Skills & Research Interests

Computational Linguistics

Cognitive Computing

Sentic Computing

Metaphor

Quantitative Finance

Top articles of Rui Mao

Title

Journal

Author(s)

Publication Date

Quantitative Stock Portfolio Optimization by Multi-task Learning Risk and Return

Information Fusion

Yu Ma*

Rui Mao*

Qika Lin

Peng Wu

Erik Cambria

2024

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

Rui Mao

Guanyi Chen

Xulang Zhang

Frank Guerin

Erik Cambria

2024/6

A Survey on Semantic Processing Techniques

Information Fusion

Rui Mao

Kai He

Xulang Zhang

Guanyi Chen

Jinjie Ni

...

2024/1

Fusing Pairwise Modalities for Emotion Recognition in Conversations

Information Fusion

Chunxiao Fan

Jie Lin

Rui Mao

Erik Cambria

2024/3

SenticNet 8: Fusing emotion AI and commonsense AI for interpretable, trustworthy, and explainable affective computing

Proceedings of HCII

Erik Cambria

Xulang Zhang

Rui Mao

Melvin Chen

Kenneth Kwok

2024

Financial Sentiment Analysis: Techniques and Applications

ACM Computing Surveys

Kelvin Du

Frank Xing

Rui Mao

Erik Cambria

2024

Granular Syntax Processing with Multi-task and Curriculum Learning

Cognitive Computation

Xulang Zhang

Rui Mao

Erik Cambria

2024

A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction

Kelvin Du

Rui Mao

Frank Xing

Erik Cambria

2024

A Survey on Computational Metaphor Processing Techniques: From Identification, Interpretation, Generation to Application

Artificial Intelligence Review

Mengshi Ge

Rui Mao

Erik Cambria

2023

Virtual Prompt Pre-training for Prototype-based Few-shot Relation Extraction

Expert Systems with Applications

Kai He

Yucheng Huang

Rui Mao

Tieliang Gong

Chen Li

...

2023/3/1

Meta-based Self-training and Re-weighting for Aspect-based Sentiment Analysis

IEEE Transactions on Affective Computing

Kai He

Rui Mao

Tieliang Gong

Chen Li

Erik Cambria

2023/9

Finding the Pillars of Strength for Multi-Head Attention

Jinjie Ni

Rui Mao

Zonglin Yang

Han Lei

Erik Cambria

2023/7

Template-Free Prompting for Few-shot Named Entity Recognition via Semantic-enhanced Contrastive Learning

IEEE Transactions on Neural Networks and Learning Systems

Kai He

Rui Mao

Yucheng Huang

Tieliang Gong

Chen Li

...

2023/11

Multi-source Aggregated Classification for Stock Price Movement Prediction

Information Fusion

Yu Ma

Rui Mao

Qika Lin

Peng Wu

Erik Cambria

2023

Fusing Topology Contexts and Logical Rules in Language Models for Knowledge Graph Completion

Information Fusion

Qika Lin

Rui Mao

Jun Liu

Fangzhi Xu

Erik Cambria

2023/2/1

A wide evaluation of ChatGPT on affective computing tasks

arXiv preprint arXiv:2308.13911

Mostafa M Amin

Rui Mao

Erik Cambria

Björn W Schuller

2023/8/26

MEGACare: Knowledge-guided Multi-view Hypergraph Predictive Framework for Healthcare

Information Fusion

Jialun Wu

Kai He

Rui Mao

Chen Li

Erik Cambria

2023/6

A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics

arXiv preprint arXiv:2310.05694

Kai He

Rui Mao

Qika Lin

Yucheng Ruan

Xiang Lan

...

2023/10/9

Seven Pillars for the Future of Artificial Intelligence

IEEE Intelligent Systems

Erik Cambria

Rui Mao

Melvin Chen

Zhaoxia Wang

Seng-Beng Ho

2023/12/8

Semantic Matching in Machine Reading Comprehension: An Empirical Study

Information Processing & Management

Qian Liu

Rui Mao

Xiubo Geng

Erik Cambria

2023

See List of Professors in Rui Mao University(University of Aberdeen)

Co-Authors

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