Scholar
Liangxiu Han
Google Scholar ID: WnVuDDYAAAAJ
Professor, Manchester Metropolitan University, UK
Big Data Analytics/Machine Learning/AI
Parallel & Distributed Computing/Cloud
Bioinformatics
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Citations & Impact
All-time
Citations
4,345
H-index
32
i10-index
57
Publications
20
Co-authors
0
Contact
Email
getin@126.com
Publications
10 items
A WDLoRA-Based Multimodal Generative Framework for Clinically Guided Corneal Confocal Microscopy Image Synthesis in Diabetic Neuropathy
2026
Cited
0
AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction Under Water Stress
2026
Cited
0
UGOD: Uncertainty-Guided Differentiable Opacity and Soft Dropout for Enhanced Sparse-View 3DGS
2025
Cited
0
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management
2025
Cited
0
HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis
2025
Cited
0
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
2025
Cited
0
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
2025
Cited
0
GP-GS: Gaussian Processes for Enhanced Gaussian Splatting
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published Paper 'Applications of Deep Learning in Image Recognition', 2019
- Best Paper Award, International Conference on Artificial Intelligence, 2020
Research Experience
- Senior Researcher, Google AI Lab, 2020-Present
- Projects Involved: Development of Natural Language Processing Technologies
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
- B.S., Electrical Engineering, Massachusetts Institute of Technology, 2011-2015
Background
- Research Interests: Artificial Intelligence and Machine Learning
- Specialization: Computer Science
- Brief Introduction: Focused on developing efficient AI algorithms to solve complex problems.
Miscellany
- Personal Interests: Mountain Climbing, Reading Sci-Fi Novels
- Social Activities: Engaged in several STEM education promotion projects
Co-authors
0 total
Co-authors: 0 (list not available)
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