Yang Zhang
Scholar

Yang Zhang

Google Scholar ID: Ri0ENAUAAAAJ
National University of Singapore
Machine LearningExplainable AI (XAI)
Citations & Impact
All-time
Citations
190
 
H-index
8
 
i10-index
6
 
Publications
13
 
Co-authors
7
list available
Publications
13 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - 2025.05: One first-authored paper accepted at ICML
  • - 2024.08: Finished internship at American Express Innovation Lab in Singapore
  • - 2025.01: Finished visit at Torr Vision Group, University of Oxford
  • - Preprint: Effortless Efficiency: Low-Cost Pruning of Diffusion Models
  • - Preprint: AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
  • - TMLR 2024: A Dual-Perspective Approach to Evaluating Feature Attribution Methods
  • - ECCV 2024: Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
  • - Neurips 2021: Fine-grained neural network explanation by identifying input features with predictive information
Research Experience
  • - PhD student at National University of Singapore, working on making AI more transparent, smarter in resource use, and more controllable in outputs
  • - Research at CAMP (Chair for Computer Aided Medical Procedures & Augmented Reality) at Technical University of Munich, focusing on explainable AI
  • - Research at RWTH Aachen University, working on hardware security and as a research assistant for one year
Education
  • - PhD: National University of Singapore, supervised by Professor Kenji Kawaguchi
  • - Master's: Technical University of Munich, supervised by Professor Nassir Navab, research focus on explainable AI applied to medical purposes
  • - Bachelor's: RWTH Aachen University, supervised by Professor Rainer Leupers, research focus on hardware security (logic encryption on microprocessors)
Background
  • - Research Interests: efficiency, controllability, and explainability in AI systems
  • - Professional Field: Artificial Intelligence
  • - Brief Introduction: Driven by a passion for advancing the frontiers of artificial intelligence, aiming to develop AI systems that are safe, reliable, and impactful, fostering solutions that promote progress and well-being on a global scale.
Miscellany
  • - Enjoys traveling, especially relaxing by the sea and exploring the underwater world through diving