Stebėti
Yuejiang Liu
Yuejiang Liu
Postdoc, Stanford
Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
6402019
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
2822021
Social nce: Contrastive learning of socially-aware motion representations
Y Liu, Q Yan, A Alahi
International Conference on Computer Vision (ICCV), 2021
1242021
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
622022
On Pitfalls of Test-Time Adaptation
H Zhao*, Y Liu*, A Alahi, T Lin
International Conference on Machine Learning (ICML), 2023
532023
Map-based deep imitation learning for obstacle avoidance
Y Liu, A Xu, Z Chen
International Conference on Intelligent Robots and Systems (IROS), 2018
422018
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
292021
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
202022
Collaborative sampling in generative adversarial networks
Y Liu*, P Kothari*, A Alahi
Conference on Artificial Intelligence (AAAI), 2020
18*2020
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
162023
Co-supervised learning: Improving weak-to-strong generalization with hierarchical mixture of experts
Y Liu, A Alahi
arXiv preprint arXiv:2402.15505, 2024
92024
Real-time distributed algorithms for nonconvex optimal power flow
Y Liu, JH Hours, G Stathopoulos, CN Jones
American Control Conference (ACC), 2017
52017
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
32023
Forecast-PEFT: Parameter-efficient fine-tuning for pre-trained motion forecasting models
J Wang, K Messaoud, Y Liu, J Gall, A Alahi
arXiv preprint arXiv:2407.19564, 2024
22024
TAROT: Targeted Data Selection via Optimal Transport
L Feng, F Nie, Y Liu, A Alahi
arXiv preprint arXiv:2412.00420, 2024
2024
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling
Y Liu, JI Hamid, A Xie, Y Lee, M Du, C Finn
arXiv preprint arXiv:2408.17355, 2024
2024
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