Liangxiu Han
Scholar

Liangxiu Han

Google Scholar ID: WnVuDDYAAAAJ
Professor, Manchester Metropolitan University, UK
Big Data Analytics/Machine Learning/AIParallel & Distributed Computing/CloudBioinformatics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
4,345
 
H-index
32
 
i10-index
57
 
Publications
20
 
Co-authors
0
 
Contact
Emailgetin@126.com
Publications
14 items
UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting
2026
Cited
0
LDAC-Net: A Learnable Multi-Lag Differencing Attention-Convolution Network for Drift-Robust Recognition with Low-Cost MOX Gas Sensors
2026
Cited
0
Physics Closure Matters for Machine Olfaction: A Maxwell--Stefan Graph Solver for Identifiable Dynamic Gas Unmixing
2026
Cited
0
GeoTopoDiff: Learning Geometry--Topology Graph Priors through Boundary-Constrained Mixed Diffusion for Sparse-Slice 3D Porous Reconstruction
2026
Cited
0
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
Resume
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