Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices. - Andrew Head; Amber Xie; Marti A. Hearst (CHI, 2022)

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data. - John So; Amber Xie; Sunggoo Jung; Jeffrey A. Edlund; Rohan Thakker; Ali-akbar Agha-mohammadi; Pieter Abbeel; Stephen James (CoRL, 2022)

Skill-Based Reinforcement Learning with Intrinsic Reward Matching. - Ademi Adeniji; Amber Xie; Pieter Abbeel (CoRR, 2022)

Language-Conditioned Path Planning. - Amber Xie; Youngwoon Lee; Pieter Abbeel; Stephen James (CoRL, 2023)

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. - Ajay Jain; Amber Xie; Pieter Abbeel (CVPR, 2023)

Language Reward Modulation for Pretraining Reinforcement Learning. - Ademi Adeniji; Amber Xie; Carmelo Sferrazza; Younggyo Seo; Stephen James; Pieter Abbeel (CoRR, 2023)

FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning. - Li-Heng Lin; Yuchen Cui; Amber Xie; Tianyu Hua; Dorsa Sadigh (CoRL, 2024)

Leveraging Human Revisions for Improving Text-to-Layout Models. - Amber Xie; Chin-Yi Cheng; Forrest Huang; Yang Li (CoRR, 2024)

Revision Matters: Generative Design Guided by Revision Edits. - Tao Li; Chin-Yi Cheng; Amber Xie; Gang Li 021; Yang Li 058 (CoRR, 2024)

Latent Diffusion Planning for Imitation Learning. - Amber Xie; Oleh Rybkin; Dorsa Sadigh; Chelsea Finn (CoRR, 2025)