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Yuejiang Liu
Yuejiang Liu
Postdoc, Stanford
在 stanford.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning
C Chen, Y Liu, S Kreiss, A Alahi
International Conference on Robotics and Automation (ICRA), 2019
5502019
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Y Liu, P Kothari, B van Delft, B Bellot-Gurlet, T Mordan, A Alahi
Advances in Neural Information Processing Systems (NeurIPS), 2021
1972021
Social nce: Contrastive learning of socially-aware motion representations
Y Liu, Q Yan, A Alahi
International Conference on Computer Vision (ICCV), 2021
1092021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Y Liu, R Cadei, J Schweizer, S Bahmani, A Alahi
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
462022
Map-based deep imitation learning for obstacle avoidance
Y Liu, A Xu, Z Chen
International Conference on Intelligent Robots and Systems (IROS), 2018
382018
On Pitfalls of Test-Time Adaptation
H Zhao*, Y Liu*, A Alahi, T Lin
International Conference on Machine Learning (ICML), 2023
282023
Learning decoupled representations for human pose forecasting
B Parsaeifard, S Saadatnejad, Y Liu, T Mordan, A Alahi
International Conference on Computer Vision Workshop (ICCVW), 2021
252021
Collaborative sampling in generative adversarial networks
Y Liu*, P Kothari*, A Alahi
Conference on Artificial Intelligence (AAAI), 2020
16*2020
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
P Kothari, D Li, Y Liu, A Alahi
Conference on Robot Learning (CoRL), 2022
132022
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Y Liu, A Alahi, C Russell, M Horn, D Zietlow, B Schölkopf, F Locatello
Conference on Causal Learning and Reasoning (CLeaR), 2023
82023
Real-time distributed algorithms for nonconvex optimal power flow
Y Liu, JH Hours, G Stathopoulos, CN Jones
American Control Conference (ACC), 2017
52017
Co-supervised learning: Improving weak-to-strong generalization with hierarchical mixture of experts
Y Liu, A Alahi
arXiv preprint arXiv:2402.15505, 2024
32024
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Y Liu*, A Rahimi*, PC Luan*, F Rajič, A Alahi
arXiv preprint arXiv:2312.04540, 2023
12023
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