Yuejiang Liu
12 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🏆
Grand Slam
⚡
Prolific Year
(5)
❓
The Questioner
💎
Century Club
(12)
Conferences
CORL (2)
CVPR (2)
ICML (2)
AAAI (1)
CLEAR (1)
ICCV (1)
ICLR (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
domain adaptation
(3)
trajectory prediction
(3)
motion forecasting
(3)
contrastive learning
(2)
causal inference
(2)
multi-agent system
(2)
domain generalization
(2)
distribution shift
(2)
causal representation learning
(2)
transfer learning
(2)
online learning
(1)
self-supervised learning
(1)
image generation
(1)
robot manipulation
(1)
metric learning
(1)
cross validation
(1)
sim-to-real transfer
(1)
out-of-distribution generalization
(1)
test-time adaptation
(1)
imitation learning
(1)
Papers
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
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
ICLR 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
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NIPS 2021
Social NCE: Contrastive Learning of Socially-Aware Motion Representations
ICCV 2021
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020