Yu-Hsiang Chen

I am a master's student in Computer Science at National Yang Ming Chiao Tung University, advised by Prof. Yi-Ting Chen in HCIS Lab. My research focuses on autonomous driving safety, heterogeneous traffic simulation, computer vision, deep learning, and robotics.

I was a visiting researcher at the MSC Lab, University of California, Berkeley, working with Prof. Masayoshi Tomizuka and Prof. Yi-Ting Chen on data-efficient and controllable traffic simulation. Previously, I graduated from National Tsing Hua University in the top 1% of my class.

I am open to research collaboration and seeking Fall 2027 PhD opportunities.

Portrait of Yu-Hsiang Chen

News

  1. Received the Hon Hai Technology Award.
  2. HetroD accepted to ICRA 2026.
  3. Organized ECCV and ICCV DriveX Workshops and initiated the Heterogeneous Traffic Simulation Challenge.

Publications

2026

NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals

C.-C. Yang*, Y.-H. Chen*, Y.-T. Chen

ICRA 2026

HetroD: A High-Fidelity Drone Dataset and Benchmark for Heterogeneous Traffic in Autonomous Driving

Y.-H. Chen, W.-J. Chang, W. Zhan, M. Tomizuka, Y.-T. Chen

Under Review, ECCV 2026

ECoSim: Data-Efficient Fine-Tuning for Controllable Traffic Simulation

Y.-H. Chen, W.-J. Chang, M. Tomizuka, Y.-T. Chen

ICCV 2025 DriveX

V2X-based Logical Scenario Understanding with Vision-Language Models

C.-L. Chi, Z.-H. Li, Y.-H. Chen, Y.-T. Chen

NSTC 2023

Low-Risk Arbitrage Strategy via Inter-Cryptocurrency Correlation Analysis in High-Frequency Trading

Y.-H. Chen

Professional Experience

Synology logoIncoming Video Deep Learning Research Intern, Synology

06/2026 - 12/2026

UC Berkeley logoMSC Lab, University of California, Berkeley

06/2025 - 12/2025

  • Pioneered a heterogeneous dataset and simulation benchmarks for autonomous driving simulation, accepted to ICRA 2026.
  • Engineered a data-efficient, controllable traffic simulation framework using diffusion and autoregressive models for realistic closed-loop performance.

NYCU logoHCIS Lab, National Yang Ming Chiao Tung University

09/2024 - 06/2026

  • Co-developed safety validation systems for autonomous driving, integrating V2X-based logical scenario retrieval via VLMs and VLM-guided end-to-end driving.
  • Teaching assistant for Introduction to Artificial Intelligence and Physical AI.

GENIIDEAS logoR&D Software Engineer, Geniideas

06/2023 - 04/2026

  • Spearheaded an automated piping ISO system, reducing manual overhead and improving installation workflows for enterprise clients including TSMC and Micron.
  • Architected computer vision solutions for laser welding anomaly detection and autonomous deep learning classification for crystal oscillator operations.

NTHU logoIS Lab & Institute of Service Science, National Tsing Hua University

09/2022 - 06/2024

  • Designed a high-frequency trading framework to capture sudden market fluctuations; funded by NSTC and published as an undergraduate research project.
  • Developed data-crawling APIs for 400,000+ luxury goods entries and built React web applications for campus sustainability and tour workflows.

Education

09/2024 - 06/2026

NYCU logoNational Yang Ming Chiao Tung University

Master of Computer Science, HCIS Lab. Advisor: Prof. Yi-Ting Chen.

09/2020 - 06/2024

NTHU logoNational Tsing Hua University

Bachelor of Technology Management, IS Lab. Advisor: Prof. Hung-Min Sun. Ranked 2/65, top 1% of class.

Awards & Service

  • Hon Hai Technology Award, 2026
  • 5x Presidential Award, National Tsing Hua University, 2020-2024
  • Outstanding Graduate Award, National Tsing Hua University, 2024
  • Scholarship for Excellent Students to Overseas Internship, Ministry of Education, Taiwan, 2024
  • College Student Research Scholarship, National Science and Technology Council, 2023
  • Organizer, ECCV & ICCV DriveX Workshops
  • Initiator, Heterogeneous Traffic Simulation Challenge
  • Reviewer: NeurIPS, CVPR, ECCV, ICRA, IEEE RA-L, T-Rel, IJPRAI
  • Skills: Python, C++, C, JavaScript, PyTorch, Qt, Git, LaTeX, Linux, MultiCharts

Contact

I am open to research collaboration and seeking Fall 2027 PhD opportunities.