Hi! I’m currently a Direct PhD student at ETH Zurich, supervised by Prof. Andreas Krause. I am deeply passionate about developing AI solutions that are beneficial to society and align with human values. I previously graduated from The University of Hong Kong, and I also spent some time at UC Berkeley (Center for Human-Compatible AI), Stanford University and Columbia University prior to ETH. You can call me Cynthia or Chen Xin (陈欣). My current research interests span across:
To help with growing the AI alignment research field, I am among the main organizers of SafeAI workshop at AAAI and AISafety workshop at IJCAI. The best way to reach me is through my email chexin AT ethz.ch.
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search (CVPR2022)Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang
An Empirical Investigation of Representation Learning for Imitation (NeurIPS2021) Undergraduate thesisXin 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
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection (ICCV2021)Hanxue Liang*, Dapeng Feng*, ChenHan Jiang, Xin Chen, Hang Xu, Xiaodan Liang, Zhenguo Li, Wei Zhang, Luc Van Gool
TransNAS-Bench-101: Improving transferability and Generalizability of Cross-Task Neural Architecture Search (CVPR2021)Yawen Duan*, Xin Chen*, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search (ECCV2020)Xin Chen*, Yawen Duan*, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li