‘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 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 recent research interests span across 4 core areas: 1. Numerical Optimization in Graphics and Vision (neural PDE solvers, differentiable physical simulation, dynamics, HPC), 2. Robotics (Sim2Real transfer, robotic manipulation and assembly, motion planning), 3. Multimodal Foundation Models (MLLMs, multi-agent systems, GenAI, federated learning, sensing), and 4. Creative 2D/3D Geometry (digital twins, animation, CAD, and gaussian splatting). Welcome for any potential collaborations!

I have gained international research experience through internships and collaborations at 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 (2)

DASTGCN-SNN-DDPG teaser

Architectural CAD/CAM in Robotic Fabrication via Differentiable Energy Optimization and Few-Shot Spatiotemporal Graph RL Policy
ACM SIGGRAPH Asia 2025 (1st Author, Technical Communication). [PDF] [Cite]

GAT-DQN teaser

Graph Q-Learning for Automatic Assembly in Design-to-Construction
ACM SIGGRAPH Asia 2025 (1st Author, Poster). [PDF] [Cite]

Others (6)

M3 teaser

M3: Recommendation via Attention-Graph Cluster Q-Learning with Multi-Scale Spatial Heterogeneity for Multi-Purpose, Multi-Stakeholder Green Attractions in Transportation
ACM SIGSPATIAL 2025 (1st Author, Research Full Paper). [PDF] [Cite]

LINKin-PARK teaser

LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN
ACM CIKM 2024 (2nd Author, Demo Paper). [PDF] [Cite]

GreenSpot teaser

GreenSpot: Improving Public Transport with GIS-Based AR and Cluster-GCN Recommendation
ACM SIGSPATIAL 2024 (1st Author, Demo Paper). [PDF] [Cite]

ACCEPT teaser

ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support
ACM SIGSPATIAL 2024 (2nd Author, Demo Paper). [PDF] [Cite]

Footprints of Travel teaser

Footprints of Travel: AIoT and AR Enhanced Tourist Gaming Experience in Unmanned Cultural Sites
ACM CHI 2024 - EA (1st Author, Student Game Competition). [PDF] [Cite]

UrbanCrowds teaser

Enhancing Urban Crowd Monitoring through Predictive Modelling System with Diverse Geospatial Datasets
ACIS 2023 (3rd Author, Proceeding). [PDF] [Cite]

Thesis

M.S. Thesis (in progress): Neural Physics Solver in Complex Geometry Processing with Walk-on-Spheres Monte Carlo Method for Partial Differential Equations.

Research & Work Experience

High-Performance Computing Research Intern

Jul. 2025 – Aug. 2025
RIKEN 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.

Vision Language Models Research Intern

Sept. 2025 – Jun. 2026
MoonShine 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)

Nov. 2024 – Aug. 2027
NTU 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

Apr. 2022 – Jun. 2024
RAC-COON 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

Jul. 2023 – Aug. 2023
Delta 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

Feb. 2023 – Jun. 2023
  • Secured 3rd Place & Sponsors Award ($30,000) from NXP Semiconductors (Awards).
  • Built a microcontroller-based SensorHub (ADI/NXP/Arduino) integrating DHT11/SCD40/PMS5003T via I²C/UART; developed calibration tests with real-time logging in HVAC/fan/lighting control linked to a Unity digital twin for vision-model-based crowd regulation.

2025 Overseas Conference Travel Grant

Dec. 2025
  • Graduate student travel support recipient ($1,000) for SIGGRAPH Asia 2025.

Academic & Community Service

Reviewer

Jan. 2024 – Jan. 2025
ACM Association for Computing Machinery Conferences
  • ACM CHI’25
  • ACM HRI’25
  • ACM CSCW’24
  • ACM WWW’25

Lead Technical Specialist

Feb. 2025 – Jun. 2025
NTU AI Club NTU AI Club, Taipei, Taiwan
  • Led academic initiatives and lectures on multimodal learning and reinforcement learning; mentored undergrads toward accepted submissions.

Mandatory Military Service

Jul. 2024 – Nov. 2024
Taiwan Air Force Taiwan Air Force