Xin Chen

Undergrad student, Computer science, University of Hong Kong

PhD student, Computer Science, ETHZ - ETH Zurich

Joined

February 2020

Names

Xin Chen (Preferred)

Xin Cynthia Chen

Emails

****@gmail.com (Confirmed)

****@hku.hk (Confirmed)

****@connect.hku.hk (Confirmed)

****@ethz.ch (Confirmed)

****@inf.ethz.ch (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Undergrad student

Computer science, University of Hong Kong (hku.hk)

Present

PhD student

Computer Science, ETHZ - ETH Zurich (ethz.ch)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Andreas Krause

2022 – Present

Expertise

AI Alignment

Present

Large Language Model Safety

Present

LLM Alignment

Present

Prompt Injection Attack

Present

Publications

Enhancing Zero-Shot VLM Reward Models Through Structure-Aware Fine-Tuning
Pyrros Koussios, Chenhao Li, Xin Chen, Andreas Krause
- Submitted to ICLR 2026
- Readers: Everyone
Learning Safety Constraints for Large Language Models
Xin Chen, Yarden As, Andreas Krause
- ICML 2025 spotlightposter
- Readers: Everyone
Exploring and Addressing Reward Confusion in Offline Preference Learning
Xin Chen, Sam Toyer, Florian Shkurti
- NeurIPS BDU Workshop 2024 Poster
- Readers: Everyone
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomek Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphael Segerie, Micah Carroll, Andi Peng, Phillip J.K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan et al. (12 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang
- 2022 (modified: 07 Nov 2022)
- CVPR 2022
- Readers: Everyone
An Empirical Investigation of Representation Learning for Imitation
Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
- Published: 11 Oct 2021, Last Modified: 12 Oct 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
An Empirical Investigation of Representation Learning for Imitation
Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
- 2021 (modified: 05 Jun 2022)
- NeurIPS Datasets and Benchmarks 2021
- Readers: Everyone
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection
Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool
- 2021 (modified: 15 Nov 2022)
- ICCV 2021
- Readers: Everyone
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
- 2021 (modified: 26 Apr 2023)
- CVPR 2021
- Readers: Everyone
TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone

View all 11 publications

Co-Authors

View all 64 co-authors