Liu, Yuejiang

17 publications

ICLR 2025 Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn

CoRL 2025 Learning Long-Context Diffusion Policies via Past-Token Prediction Marcel Torne Villasevil, Andy Tang, Yuejiang Liu, Chelsea Finn

ICLRW 2025 Learning Long-Context Robot Policies via Past-Token Prediction Marcel Torne Villasevil, Andy Tang, Yuejiang Liu, Chelsea Finn

CVPR 2025 Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Ahmad Rahimi, Po-Chien Luan, Yuejiang Liu, Frano Rajič, Alexandre Alahi

ICML 2025 TAROT: Targeted Data Selection via Optimal Transport Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi

CLeaR 2023 Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello

NeurIPSW 2023 Learning Causally-Aware Representations of Multi-Agent Interactions Yuejiang Liu, Ahmad Rahimi, Po-Chien Luan, Frano Rajič, Alexandre Alahi

NeurIPSW 2023 Learning Causally-Aware Representations of Multi-Agent Interactions Yuejiang Liu, Ahmad Rahimi, Po-Chien Luan, Frano Rajič, Alexandre Alahi

ICML 2023 On Pitfalls of Test-Time Adaptation Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin

ICLRW 2023 On Pitfalls of Test-Time Adaptation Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin

CoRL 2022 Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi

CVPR 2022 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi

ICCVW 2021 Learning Decoupled Representations for Human Pose Forecasting Behnam Parsaeifard, Saeed Saadatnejad, Yuejiang Liu, Taylor Mordan, Alexandre Alahi

ICCV 2021 Social NCE: Contrastive Learning of Socially-Aware Motion Representations Yuejiang Liu, Qi Yan, Alexandre Alahi

NeurIPS 2021 TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? Yuejiang Liu, Parth Kothari, Bastien van Delft, Baptiste Bellot-Gurlet, Taylor Mordan, Alexandre Alahi

NeurIPSW 2021 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi

AAAI 2020 Collaborative Sampling in Generative Adversarial Networks Yuejiang Liu, Parth Kothari, Alexandre Alahi