Kezhi Mao

About Kezhi Mao

Kezhi Mao, With an exceptional h-index of 38 and a recent h-index of 27 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of machine learning, natural language processing, image processing, information fusion.

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

Explicit and implicit knowledge-enhanced model for event causality identification

PromptExplainer: Explaining Language Models through Prompt-based Learning

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints

Adaptive micro-and macro-knowledge incorporation for hierarchical text classification

Feature-aware conditional GAN for category text generation

Artificial-intelligence-based hybrid extended phase shift modulation for the dual active bridge converter with full ZVS range and optimal efficiency

Reinforced Knowledge Distillation for Time Series Regression

A graph attention network utilizing multi-granular information for emotion-cause pair extraction

Kezhi Mao Information

University

Position

Professor of Machine Learning

Citations(all)

9023

Citations(since 2020)

5906

Cited By

4905

hIndex(all)

38

hIndex(since 2020)

27

i10Index(all)

67

i10Index(since 2020)

51

Email

University Profile Page

Google Scholar

Kezhi Mao Skills & Research Interests

machine learning

natural language processing

image processing

information fusion

Top articles of Kezhi Mao

Title

Journal

Author(s)

Publication Date

Explicit and implicit knowledge-enhanced model for event causality identification

Expert Systems with Applications

Siyuan Chen

Kezhi Mao

2024/3/15

PromptExplainer: Explaining Language Models through Prompt-based Learning

Zijian Feng

Hanzhang Zhou

Zixiao Zhu

Kezhi Mao

2024/3

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints

arXiv preprint arXiv:2402.14354

Anqi Cheng

Zhiyuan Yang

Haiyue Zhu

Kezhi Mao

2024/2/22

Adaptive micro-and macro-knowledge incorporation for hierarchical text classification

Expert Systems with Applications

Zijian Feng

Kezhi Mao

Hanzhang Zhou

2024/2/7

Feature-aware conditional GAN for category text generation

Neurocomputing

Xinze Li

Kezhi Mao

Fanfan Lin

Zijian Feng

2023/8/28

Artificial-intelligence-based hybrid extended phase shift modulation for the dual active bridge converter with full ZVS range and optimal efficiency

IEEE Journal of Emerging and Selected Topics in Power Electronics

Xinze Li

Xin Zhang

Fanfan Lin

Changjiang Sun

Kezhi Mao

2023/1/30

Reinforced Knowledge Distillation for Time Series Regression

IEEE Transactions on Artificial Intelligence

Qing Xu

Keyu Wu

Min Wu

Kezhi Mao

Xiaoli Li

...

2023/12/18

A graph attention network utilizing multi-granular information for emotion-cause pair extraction

Neurocomputing

Siyuan Chen

Kezhi Mao

2023/7/28

Topic-Aware Networks for Answer Selection

Jiaheng Zhang

Kezhi Mao

2023/1/20

Closed Boundary Learning for Classification Tasks with the Universum Class

Hanzhang Zhou

Zijian Feng

Kezhi Mao

2023/12

Distilling universal and joint knowledge for cross-domain model compression on time series data

arXiv preprint arXiv:2307.03347

Qing Xu

Min Wu

Xiaoli Li

Kezhi Mao

Zhenghua Chen

2023/7/7

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction

arXiv preprint arXiv:2311.06555

Hanzhang Zhou

Junlang Qian

Zijian Feng

Hui Lu

Zixiao Zhu

...

2023/11/11

Self-supervised video representation learning by video incoherence detection

IEEE Transactions on Cybernetics

Haozhi Cao

Yuecong Xu

Kezhi Mao

Lihua Xie

Jianxiong Yin

...

2023/4/20

Knowledge-based BERT word embedding fine-tuning for emotion recognition

Neurocomputing

Zixiao Zhu

Kezhi Mao

2023/10/1

Contrastive Distillation with Regularized Knowledge for Deep Model Compression on Sensor-based Human Activity Recognition

IEEE Transactions on Industrial Cyber-Physical Systems

Qing Xu

Min Wu

Xiaoli Li

Kezhi Mao

Zhenghua Chen

2023/9/28

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation

arXiv preprint arXiv:2303.10452

Xiyu Wang

Yuecong Xu

Jianfei Yang

Kezhi Mao

Xiaoli Li

...

2023/3/18

A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities

Expert Systems with Applications

Qi Li

Kezhi Mao

Pengfei Li

Yuecong Xu

Edmond YM Lo

2022/10/15

Closed Boundary Learning for NLP Classification Tasks with the Universum Class

Hanzhang Zhou

Zijian Feng

Kezhi Mao

Edmond YM Lo

Lihui Chen

2022/9/29

Document-level event argument extraction by leveraging redundant information and closed boundary loss

Hanzhang Zhou

Kezhi Mao

2022/7

A comparative study on machine learning algorithms for knowledge discovery

Sinem Bozkurt

Gulin Elibol

Serkan Gunal

Ugur Yayan

2015/9/2

See List of Professors in Kezhi Mao University(Nanyang Technological University)