Yuejiang Liu

According to our database, Yuejiang Liu authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling.

Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Maximilian Du, Chelsea Finn

CoRR, 2024

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.

Jifeng Wang, Kaouther Messaoud, Yuejiang Liu, Juergen Gall, Alexandre Alahi

CoRR, 2024

Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.

Yuejiang Liu, Alexandre Alahi

CoRR, 2024

2023

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations.

Yuejiang Liu, Ahmad Rahimi, Po-Chien Luan, Frano Rajic, Alexandre Alahi

CoRR, 2023

On Pitfalls of Test-Time Adaptation.

Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective.

Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting.

Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi

Proceedings of the Conference on Robot Learning, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Decoupled Representations for Human Pose Forecasting.

Behnam Parsaeifard, Saeed Saadatnejad, Yuejiang Liu, Taylor Mordan, Alexandre Alahi

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Social NCE: Contrastive Learning of Socially-aware Motion Representations.

Yuejiang Liu, Qi Yan, Alexandre Alahi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Collaborative Sampling in Generative Adversarial Networks.

Yuejiang Liu, Parth Kothari, Alexandre Alahi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Collaborative GAN Sampling.

Yuejiang Liu, Parth Kothari, Alexandre Alahi

CoRR, 2019

Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning.

Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Map-based Deep Imitation Learning for Obstacle Avoidance.

Yuejiang Liu, An Xu, Zichong Chen

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Real-time distributed algorithms for nonconvex optimal power flow.

Yuejiang Liu, Jean-Hubert Hours, Giorgos Stathopoulos, Colin N. Jones

Proceedings of the 2017 American Control Conference, 2017