‘Science plus arts multiplied by faith then divided by the number of our ethnic race.’ — Nujabes, feat. Shing02, Luv(sic) pt2
About Myself
I am an AI/Graphics/Robotics/HPC Researcher with international research experience specializing in Physics-informed Machine Learning, Reinforcement Learning, and Graph Learning. Currently pursuing my Master's degree at National Taiwan University, advised by Prof. Bing-Yu “Robin” Chen.
My research focuses on systematically solving critical problems at the intersection of multiple disciplines. Currently, my interests encompass 3 core areas:
- Visual Computing & Physics Simulation : neural PDE solvers, differentiable physical simulation, CAD, animation, and Gaussian Splatting
- Embodied AI & Intelligent Systems : Sim2Real, robotic manipulation, multi-agent systems, federated learning, and sensing
- Audio & Signal Processing : DSP, Watermarking, Acoustics
Welcome for any potential collaborations!
I have gained international research experience through internships and collaborations at Aalto University (2026 Aalto Science Institute (AScI) Summer Research Programme; Advisor Prof. Vikas Garg), RIKEN Japan, Center for Computational Science (R-CCS) (Large-Scale Digital Twin Research Team @Kobe/Osaka, Japan; Team Principal Prof. Hirozumi Yamaguchi (Osaka University)), MoonShine Animation Studio (R&D; Dir. Shaune Jan; collaborated advisors Prof. Xiang "Anthony" Chen (UCLA), Prof. Yu-Lun "Alex" Liu (NYCU)), and Delta Electronics.
I also worked closely with multiple academic groups during my undergraduate studies and published 8 conference papers in top-tier AI/CS conferences: Urban Science & Computing Lab led by Prof. Hsun-Ping Hsieh, and RAC-Coon (Robot Aided Creation and Construction Research Group) with Prof. Yang-Ting Shen, Prof. Chia-Ching Yen, and Prof. Wen-Yu Su.
All my projects are available on my GitHub page, spanning generative modeling, multi-agent RL, multimodal agents, 3D rendering, and intelligent systems. I actively contribute to the research community as a reviewer for premier conferences including ACM CHI, HRI, CSCW, and WWW.
My interests: graffiti (in legal area), live house/music festival, traveling.
Publications
Selected (4)
LATENT-MARK: An Audio Watermark Robust to Neural Resynthesis
arXiv Preprint, 2026 (Co-1st Author). [PDF]
Accelerating Large-Scale Federated Graph Foundation Model Pre-training for Secure Sensing via Hierarchical Parallelism
ISC High Performance 2026 (1st Author, Research Poster, Just Accepted). [PDF]
Others (6)
Thesis
Research & Work Experience
Incoming Research Intern
Aalto Science Institute, Aalto University, Espoo, Finland — (Advisor: Prof. Vikas Garg)
- 2026 AScI International Summer Research Programme (fully funded; acceptance rate: ~1%) under Project: "Machine Learning: Foundations and New Frontiers".
- Developing scalable physics-informed learning frameworks bridging numerical optimization and deep generative modeling; research aligned with Neural ODEs/SDEs and geometric deep learning.
High-Performance Computing Research Intern
RIKEN Center for Computational Science, Kobe/Osaka, Japan — Large-Scale Digital Twin Team (Advisor: Prof. Hirozumi Yamaguchi)
- Large-scale digital twin & multimodal data-fusion sensing (WiFi, point cloud, RGBD) on Fugaku supercomputer.
- Edge/cloud distributed computing with graph federated learning foundation models and differential privacy for human–scene interaction.
AI Research Engineer
MoonShine Animation Studio — R&D Team (Dir. Shaune Jan; Xiang ‘Anthony’ Chen, UCLA)
- Multi-agent MLLM-as-a-judge (AutoGen) for efficient supervisor review and improved Editable 3DGS production workflows.
Research Assistant (Interactive Graphics Lab)
Communications & Multimedia Lab, National Taiwan University (Advisor: Prof. Robin Bing-Yu Chen)
- Differentiable Projective Dynamics hyper-elastic mesh solver with positive-definite Hessian projection; 1.65×–2.26× acceleration via stable clamping strategies.
Research Assistant
Robot-Aided Creation & Construction Research Group — Synchronization Lab (Prof. Yang-Ting Shen, Prof. Chia-Ching Yen, Prof. Alvin Wen-Yu Su)
- Robotic reinforcement learning on Kuka/UR10/Hiwin in Omniverse Isaac Gym/Lab; graph RL for geometric brick assembly by mobile manipulators.
- ROS2 systems integrating SLAM, supervised learning (YOLO, LSTM), and RL for motion control, planning, and obstacle avoidance.
Deep Learning Intern
Delta Electronics, Inc. — Power and System Business Group
- 3D point cloud generative autoencoder trained over 74k meshes (PyTorch3D, Docker, V100).
- XGBoost for inductance parameter prediction from electromagnetic simulation, reducing MAE to ~1% of formula-based solution.
Honors & Awards
2023 AIoT Innovation Challenge
- Secured 3rd Place & Sponsors Award ($30,000) from NXP Semiconductors (Awards).
- Built a microcontroller-based SensorHub (ADI/NXP/Arduino) integrating DHT11/SCD40/PMS5003T via chips communication(I²C/UART); developed calibration tests with real-time logging in HVAC/fan/lighting control linked to Unity digital twin for vision model based crowd regulation.
Overseas Conference Travel Grant
- Travel support recipient for attending the ISC High Performance conference 2026 (June 22-26, Hamburg, Germany).
2025 Overseas Conference Travel Grant
- Graduate student travel support recipient ($1,000) for SIGGRAPH Asia 2025 conference (December 16 – 18, Hong Kong).
Graduate Student Scholarship
- Recipient of the graduate student scholarship for the 2025-2026 academic year.
Academic & Community Service
Association for Computing Machinery Conferences
- ACM CHI’25
- ACM HRI’25
- ACM CSCW’24
- ACM WWW’25
Lead Technical Specialist
NTU AI Club, Taipei, Taiwan
- Led academic initiatives and lectures on multimodal learning and reinforcement learning; mentored undergrads toward accepted submissions.
Mandatory Military Service
Taiwan Air Force