Chuanlong Xie
14 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (5) π Renaissance Researcher (6) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (40)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Century Club
(13)
ποΈ
Keyword Collector
(72)
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
AAAI (5)
NIPS (4)
ICML (3)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
out-of-distribution generalization
(3)
model ensemble
(2)
domain generalization
(2)
out-of-distribution detection
(2)
transfer learning
(2)
data augmentation
(2)
model selection
(1)
algorithmic fairness
(1)
multi-agent reinforcement learning
(1)
variational inference
(1)
ensemble learning
(1)
feature extraction
(1)
density estimation
(1)
feature selection
(1)
adversarial robustness
(1)
knowledge distillation
(1)
model calibration
(1)
hyperparameter optimization
(1)
policy learning
(1)
policy optimization
(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
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Boosting Out-of-distribution Detection with Typical Features
NIPS 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
NIPS 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
ICML 2022
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models
ICCV 2021
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
ICML 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
NIPS 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning
AAAI 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NIPS 2021