Yung-Chieh Chan

Joined

September 2022

Names

Yung-Chieh Chan (Preferred)

Emails

****@gmail.com (Confirmed)

****@ucsd.edu (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Homepage

Career & Education History

MS student

Stanford University (stanford.edu)

2023 – 2025

Undergrad student

University of California, San Diego (ucsd.edu)

2019 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

ROSETTA: Constructing Code-Based Reward from Unconstrained Language Preference
Sanjana Srivastava, Kangrui Wang, Yung-Chieh Chan, Tianyuan Dai, Manling Li, Ruohan Zhang, Mengdi Xu, Jiajun Wu, Li Fei-Fei
- ICLR 2026 Poster
- Readers: Everyone
ROSETTA: Constructing Code-Based Reward from Unconstrained Language Preference
Sanjana Srivastava, Kangrui Wang, Yung-Chieh Chan, Tianyuan Dai, Manling Li, Ruohan Zhang, Mengdi Xu, Jiajun Wu, Li Fei-Fei
- CRLH BestPaper
- Readers: Everyone
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
Yung-Chieh Chan, George Pu, Apaar Shanker, Parth Suresh, Samuel Marc Denton
- OpenReview Archive Direct Upload
- Readers: Everyone
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
Yung-Chieh Chan, George Pu, Apaar Shanker, Parth Suresh, Penn Jenks, John Heyer, Samuel Marc Denton
- FITML 2024 Poster
- Readers: Everyone
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
- Published: 17 Nov 2022, Last Modified: 15 Jan 2026
- PRL 2022 Poster
- Readers: Everyone
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
- 05 Oct 2022 (modified: 30 Dec 2025)
- FMDM@NeurIPS2022
- Readers: Everyone
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone