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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