| 2025 | CVPR | Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations. | Ahmad Rahimi, Po-Chien Luan, Yuejiang Liu, Frano Rajic, Alexandre Alahi |
| 2025 | ICLR | Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. | Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn |
| 2025 | ICML | TAROT: Targeted Data Selection via Optimal Transport. | Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi |
| 2023 | ICML | On Pitfalls of Test-Time Adaptation. | Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin |
| 2022 | CoRL | Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting. | Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi |
| 2022 | CVPR | Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. | Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi |
| 2021 | ICCV | Social NCE: Contrastive Learning of Socially-aware Motion Representations. | Yuejiang Liu, Qi Yan, Alexandre Alahi |
| 2020 | AAAI | Collaborative Sampling in Generative Adversarial Networks. | Yuejiang Liu, Parth Kothari, Alexandre Alahi |
| 2019 | ICRA | Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning. | Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi |
| 2018 | IROS | Map-based Deep Imitation Learning for Obstacle Avoidance. | Yuejiang Liu, An Xu, Zichong Chen |