Scholar
Chih-Hong Cheng
Google Scholar ID: e3RTgfMAAAAJ
Carl von Ossietzky University of Oldenburg & Chalmers University of Technology
AI safety
software engineering
formal methods
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Citations & Impact
All-time
Citations
1,347
H-index
17
i10-index
30
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
14 items
Safety-Aligned 3D Object Detection: Single-Vehicle, Cooperative, and End-to-End Perspectives
2026
Cited
0
Workflow-Level Design Principles for Trustworthy GenAI in Automotive System Engineering
2026
Cited
0
Validating Generalist Robots with Situation Calculus and STL Falsification
arXiv.org · 2026
Cited
0
Randomized Smoothing Meets Vision-Language Models
2025
Cited
0
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
2025
Cited
0
LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
2025
Cited
0
Rethinking Code Review Workflows with LLM Assistance: An Empirical Study
2025
Cited
0
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published a paper titled 'Early Cancer Detection Using Deep Neural Networks' in Nature
- Received IEEE Best Young Scientist Award, 2021
- Holds multiple US patents related to machine learning algorithm optimization techniques
Research Experience
- Postdoctoral Researcher at Stanford University, leading a project on the application of deep learning in medical image analysis, 2020-Present
- Intern at Google AI Lab, worked on natural language processing related research, Summer 2018
Education
- Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. John Smith, 2015-2020
- M.S., Massachusetts Institute of Technology, EECS, 2013-2015
- B.S., Harvard University, Major in Computer Science, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Focused on developing intelligent systems that can solve real-world problems.
Miscellany
- Enjoys reading science fiction and mountain climbing during free time
- An open-source software contributor, active in the GitHub community
Co-authors
0 total
Co-authors: 0 (list not available)
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