Chuanlong Xie
14 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (77)
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Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(10)
Learning Types · Machine Learning
(8)
Deep Learning
(7)
Artificial Intelligence
(6)
Learning Types · Deep Learning
(6)
Optimization & Theory
(5)
Core AI
(4)
Core Methods
(4)
Learning Paradigms
(2)
Models
(2)
Computer Science
(1)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
out-of-distribution generalization
(3)
domain generalization
(2)
model ensemble
(2)
transfer learning
(2)
out-of-distribution detection
(2)
data augmentation
(2)
algorithmic fairness
(1)
adversarial robustness
(1)
multi-agent reinforcement learning
(1)
variational inference
(1)
continual learning
(1)
ensemble learning
(1)
feature extraction
(1)
density estimation
(1)
model calibration
(1)
policy optimization
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
feature selection
(1)
model selection
(1)
Papers
Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs
AAAI 2026
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
AAAI 2025
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
Provable Contrastive Continual Learning
ICML 2024
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
Boosting Out-of-distribution Detection with Typical Features
NeurIPS 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
ICML 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
NeurIPS 2022
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
ICML 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning
AAAI 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NeurIPS 2021
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models
ICCV 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
NeurIPS 2021