Kezhi Mao

Associate Professor

Nanyang Technological University (NTU)

Singapore

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About

Dr. Kezhi Mao is an Associate Professor at Nanyang Technological University in Singapore. His research areas include artificial intelligence, hierarchical text classification, and time series regression, as evidenced by his recent publications. Notable works include advancements in wireless power transfer systems, knowledge distillation for deep model compression, and self-supervised learning techniques for video representation.

Articles (15)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (1)

Yuecong Xu

Lecturer

National University of Singapore

SINGAPORE

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Kezhi Mao

Research Interests

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Articles (15)

A Robust Artificial Intelligence-Empowered Adaptive Proportional-Integral Control for Wireless Power Transfer Systems

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

Reinforced Knowledge Distillation for Time Series Regression

Explicit and implicit knowledge-enhanced model for event causality identification

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency

Self-Supervised Video Representation Learning by Video Incoherence Detection

Contrastive Distillation With Regularized Knowledge for Deep Model Compression on Sensor-Based Human Activity Recognition

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

Aligning Correlation Information for Domain Adaptation in Action Recognition

RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection

Tailored text augmentation for sentiment analysis

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress

Effective action recognition with embedded key point shifts

Exploiting inter-frame regional correlation for efficient action recognition

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition

Collaborators (1)

Yuecong Xu

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