I am a research intern at Synology. I received my master's degree in Computer Science from National Yang Ming Chiao Tung University (NYCU), where I was advised by Prof. Yi-Ting Chen. Previously, I was a visiting researcher at UC Berkeley's MSC Lab, working with Prof. Masayoshi Tomizuka.

I study how autonomous systems can learn efficiently and remain robust in unfamiliar situations. My work spans datasets and benchmarks (ICRA 2026), controllable generative models (ECCV 2026), and efficient adaptation of multimodal models (CVPRW 2026). I aim to link these directions in a learning loop that identifies gaps in experience, generates targeted counterfactuals, and learns from failures.

I am seeking Fall 2027 PhD opportunities and welcome research collaborations.

Portrait of Yu-Hsiang Chen

News

Publications

ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation

ECCV 2026

Yu-Hsiang Chen*, Wei-Jer Chang*, Yi-Ting Chen, Masayoshi Tomizuka

* Co-first authors (equal contribution).

ECoSim sketch, latent, and text controls for traffic simulation

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

ICRA 2026

Yu-Hsiang Chen, Wei-Jer Chang, Christian Kotulla, Thomas Keutgens, Steffen Runde, Tobias Moers, Christoph Klas, Wei Zhan, Masayoshi Tomizuka, Yi-Ting Chen

HetroD drone dataset, heterogeneous traffic maneuvers, and benchmark tasks

On the Feasibility of Activation Steering for End-to-End Driving

ECCV 2026 DriveX Workshop · Non-Archival Track

Shu-Wei Lu, Jinsu Yoo, Yu-Hsiang Chen, Yi-Hsuan Tsai, Wei-Lun Chao, Yi-Ting Chen

V2X-based Logical Scenario Understanding with Vision-Language Models

ICCV 2025 DriveX Workshop

Cheng-Liang Chi, Zi-Hui Li, Yu-Hsiang Chen, Yi-Ting Chen

Drone-view and ego-view video evaluation pipeline for vision-language models

Other Research

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

NSTC Undergraduate Research Project, 2023

Yu-Hsiang Chen

Research Experience

University of California, Berkeley

Jun 2025 – Dec 2025

Visiting Researcher MSC Lab

National Yang Ming Chiao Tung University

Sep 2024 – Jun 2026

Graduate Researcher HCIS Lab

National Tsing Hua University

Sep 2022 – Jun 2024

Undergraduate Researcher IS Lab

Industry Experience

Synology

Jul 2026 – Present

Research Intern

Efficient vision-language models for resource-constrained edge devices.

Geniideas

Jun 2023 – Jun 2026

R&D Intern

Education

National Yang Ming Chiao Tung University

M.S. in Computer Science 2024–2026

National Tsing Hua University

B.S. in Technology Management 2020–2024

Ranked 2nd out of 65 GPA: 4.08/4.3

Awards

  • 5× Presidential Award, National Tsing Hua University
  • 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, Taiwan, 2023

Academic Service

Contact

I am seeking Fall 2027 PhD opportunities in efficient learning and robust autonomous systems, with interests in controllable generative models and multimodal intelligence.