YuXuan Liu
19 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (7)
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(13)
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Conference Polyglot
(11)
🏃
Academic Marathon
(7)
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Keyword Collector
(85)
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Century Club
(17)
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(5)
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Prolific Year
(6)
Conferences
AAAI (6)
ACL (2)
ECCV (2)
NIPS (2)
COLING (1)
EMNLP (1)
ICCV (1)
ICLR (1)
ICML (1)
MICCAI (1)
OSDI (1)
Top co-authors
Keywords
large language model
(3)
contrastive learning
(2)
diffusion model
(2)
causal inference
(2)
text generation
(2)
reinforcement learning
(2)
representation learning
(2)
vision transformer
(1)
domain adaptation
(1)
transformer architecture
(1)
transfer learning
(1)
sentiment analysis
(1)
object detection
(1)
knowledge distillation
(1)
evaluation framework
(1)
image generation
(1)
synthetic aperture radar
(1)
cross-modal learning
(1)
claim verification
(1)
few-shot learning
(1)
Papers
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
ACL 2026
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
AAAI 2026
Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging
MICCAI 2025
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
AAAI 2025
Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method
ICCV 2025
Text Diffusion with Reinforced Conditioning
AAAI 2024
Calibrating LLM-Based Evaluator
COLING 2024
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
NIPS 2024
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model
AAAI 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
AAAI 2024
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
ACL 2024
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
ICLR 2023
Security and Performance in the Delegated User-level Virtualization
OSDI 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
EMNLP 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
AAAI 2023
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
ECCV 2022
Tackling Long-Tailed Category Distribution under Domain Shifts
ECCV 2022
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
ICML 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
NIPS 2018