Experience
Research Engineer
ANTIQUE Team @ ENS-PSL/Inria/CNRS
Dec 2025 - Present
Focusing on the Neural Specification for Formal methods in Explainable AI under Prof. Caterina Urban.
Research Intern
OVGU MathOpt Group
Apr 2025 - Dec 2025
Simplification on post-trained ReLU Neural Networks embedded in MILP Systems under Prof. Sebastian Sager.
Research Intern
EPFL IPESE Lab
Mar 2024 - Sep 2024
Applied clustering/dim-reduction on energy datasets. Integrated LLM decision-making assistants.
Chatbot Engineer Intern
Roland Berger
Feb 2024 - Apr 2024
Developed Chatbots for car sales using Coze and Dify. Specialized agents for Sales and After-Sales.
Software Quality Intern
Volkswagen-Mobvoi
Jun 2022 - Aug 2022
Improved quality system from v2.0 to 3.0. Solved 36 software quality issues in ID6 and Audi A6 projects.
Education
École Polytechnique
MSc&T in Artificial Intelligence & Advanced Visual Computing
Sep 2023 - Oct 2025(Certificates in June 2026)
GPA: 3.75/4.0 | SEMG Scholarship | Erasmus Scholarship
EPFL
Exchange Master Student in IPESE Lab
Mar 2024 - Sep 2024
Energy Systems Modeling & Optimization
Macau University of Science & Technology (MUST)
B.Sc. in Software Engineering
Sep 2019 - Jun 2023
Graduated with Honor Degree
Research Interests
Explainable AI & Optimization
Computer Vision & NLP
Machine Learning Theory
PINN & Constraints Learning
Publications
On the role of Artificial Intelligence in Feature oriented Multi-Criteria Decision Analysis
H. Liu, Y. Zhao, and F. Maréchal
Selected Projects
3D Luggage Detection
IDEMIA & École Polytechnique
Reconstructing 3D geometry of luggage items using multi-view images from airport conveyor systems. Tackling robust feature matching and geometric reasoning.
Read Report
Generative Image Editing
Diffusion Models
Modifying source images using DDIM inversion and Null-Text inversion ensuring feature retention while incorporating target prompts.
Read Report
3D EcoSystem Simulation
Computer Graphics
Scene construction in Unity with dynamic creatures, crowd simulation, and interaction logic starting from a flat terrain.
Watch Video
Multi-criteria Decision Analysis
EPFL IPESE
Data-driven methods for AI decision-making in Energy Systems using dimensionality reduction, clustering, and shape analysis.
View GitHub
Real-Time AI for StarCraft
Reinforcement Learning
Implemented real-time AI strategies based on BWAPI. Ranked 1st in Terran and 2nd overall in the course competition.
View GitHub
Extractive Summarization
Graph Neural Networks
Utilized GraphSAGE, GCN, and GAT models to enhance text summarization by analyzing conversation structures.
View GitHubPaper Reading Notes
Personal
Languages: English, Chinese, Deutsch (Basic), French (Basic)
Interests: Basketball, Saxophone, Dragon boat