World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
43
Citations
7550
World Ranking
521
National Ranking
178

Computer Science

D-Index
46
Citations
7945
World Ranking
6884
National Ranking
921

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Le Zhang is affiliated with the University of Electronic Science and Technology of China. Their research spans multiple areas within computer science and engineering, with a focus on computer vision, artificial intelligence, and electrical and electronic engineering. They have published extensively, contributing to these fields through various types of scholarly outputs.

Their recent papers include:

  • SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection (2021), published in IEEE Transactions on Image Processing
  • EDN: Salient Object Detection via Extremely-Downsampled Network (2022), published in IEEE Transactions on Image Processing
  • Two-Stream Convolution Augmented Transformer for Human Activity Recognition (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems (2022), published in IEEE Transactions on Systems Man and Cybernetics Systems
  • 3D Heterostructure Constructed by Few-Layered MXenes with a MoS2 Layer as the Shielding Shell for Excellent Hybrid Capacitive Deionization and Enhanced Structural Stability (2022), published in ACS Applied Materials & Interfaces

Their coauthors have included:

  • Yun Liu
  • Ce Zhu
  • Ming-Ming Cheng
  • Zhenghua Chen
  • Jia-Wang Bian

Frequent venues for their publications include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • The Cambridge Structural Database
  • IEEE Transactions on Image Processing

Le Zhang's main fields of study are computer science and engineering. Within these areas, subfields of notable focus include computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, mechanical engineering, and aerospace engineering.

The scientist's work covers various advanced topics such as:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Visual Attention and Saliency Detection
  • Video Surveillance and Tracking Methods
  • Domain Adaptation and Few-Shot Learning

Le Zhang has contributed to book publications including titles released by Springer Nature and Springer Science+Business Media. Notable books include Deep Learning for Human Activity Recognition (2021) and Explorations of Chinese Moral Education Curriculum and Textbooks (2021).

Best Publications

  • Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

    Ye Ren;Le Zhang;P.N. Suganthan

  • A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

    Kaizhou Gao;Zhiguang Cao;Le Zhang;Zhenghua Chen

  • A comprehensive evaluation of random vector functional link networks

    Le Zhang;P.N. Suganthan

  • WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM

    Zhenghua Chen;Le Zhang;Chaoyang Jiang;Zhiguang Cao

  • Ensemble deep learning for regression and time series forecasting

    Xueheng Qiu;Le Zhang;Ye Ren;P. N. Suganthan

  • A survey of randomized algorithms for training neural networks

    Le Zhang;P.N. Suganthan

  • Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM

    Zhenghua Chen;Qingchang Zhu;Yeng Chai Soh;Le Zhang

  • EDN: Salient Object Detection via Extremely-Downsampled Network.

    Yu-Huan Wu;Yun Liu;Le Zhang;Ming-Ming Cheng

  • SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection

    Yun Liu;Xin-Yu Zhang;Jia-Wang Bian;Le Zhang

  • A Retrospective and a Look Forward: Fifteen Years of Physical Unclonable Function Advancement

    Chip-Hong Chang;Yue Zheng;Le Zhang

  • Two-Stream Convolution Augmented Transformer for Human Activity Recognition

    Bing Li;Wei Cui;Wei Wang;Le Zhang

  • Random Forests with ensemble of feature spaces

    Le Zhang;Ponnuthurai Nagaratnam Suganthan

  • Visual Tracking With Convolutional Random Vector Functional Link Network

    Le Zhang;Ponnuthurai Nagaratnam Suganthan

  • A Low-Power Hybrid RO PUF With Improved Thermal Stability for Lightweight Applications

    Yuan Cao;Le Zhang;Chip-Hong Chang;Shoushun Chen

  • Unsupervised Scale-Consistent Depth Learning from Video

    Jia-Wang Bian;Huangying Zhan;Naiyan Wang;Zhichao Li

  • Distilling the Knowledge From Handcrafted Features for Human Activity Recognition

    Zhenghua Chen;Le Zhang;Zhiguang Cao;Jing Guo

  • Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine

    Le Zhang;Ponnuthurai N. Suganthan

  • Nonlinear Regression via Deep Negative Correlation Learning

    Le Zhang;Zenglin Shi;Ming-Ming Cheng;Yun Liu

  • Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]

    Le Zhang;Ponnuthurai Nagaratnam Suganthan

  • Exploiting Process Variations and Programming Sensitivity of Phase Change Memory for Reconfigurable Physical Unclonable Functions

    Le Zhang;Zhi Hui Kong;Chip-Hong Chang;Alessandro Cabrini

  • Oblique random forest ensemble via Least Square Estimation for time series forecasting

    Xueheng Qiu;Le Zhang;Ponnuthurai Nagaratnam Suganthan;Gehan A.J. Amaratunga

  • Robust visual tracking via co-trained Kernelized correlation filters

    Le Zhang;Ponnuthurai Nagaratnam Suganthan

Frequent Co-Authors

Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Chip-Hong Chang
Chip-Hong Chang Nanyang Technological University
Ian Reid
Ian Reid University of Adelaide
Joey Tianyi Zhou
Joey Tianyi Zhou Agency for Science, Technology and Research
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Guoyan Zheng
Guoyan Zheng Shanghai Jiao Tong University
Chunhua Shen
Chunhua Shen Zhejiang University
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Wei Chen
Wei Chen National University of Singapore

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