Yuejiang Liu
12 papers · 2020–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
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Grand Slam
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Prolific Year Β· Productive
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The Questioner
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Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Models
(2)
Robotics
(1)
Keywords
domain adaptation
(4)
motion forecasting
(3)
trajectory prediction
(3)
transfer learning
(2)
contrastive learning
(2)
causal representation learning
(2)
multi-agent system
(2)
distribution shift
(2)
imitation learning
(2)
causal inference
(2)
domain generalization
(2)
temporal modeling
(1)
metric learning
(1)
optimal transport
(1)
sim-to-real transfer
(1)
out-of-distribution generalization
(1)
benchmark evaluation
(1)
test-time adaptation
(1)
online learning
(1)
self-supervised learning
(1)
Papers
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
ICLR 2025
Curating Demonstrations using Online Experience
RSS 2025
Learning Long-Context Diffusion Policies via Past-Token Prediction
CoRL 2025
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
CVPR 2025
TAROT: Targeted Data Selection via Optimal Transport
ICML 2025
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
On Pitfalls of Test-Time Adaptation
ICML 2023
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
CoRL 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
CVPR 2022
Social NCE: Contrastive Learning of Socially-Aware Motion Representations
ICCV 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NeurIPS 2021
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020