Wuyang Chen
26 papers · 2019–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (6) π£ Hot Topic Early Bird π§ Keyword Pioneer π Cross-Pollinator (3)
π£
Hot Topic Early Bird
π
Academic Marathon
(6)
π€
Dynamic Duo
(17)
π
Grand Slam
π₯
Mega-Team
(20)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(75)
π
Conference Pioneer
β‘
Prolific Year
(5)
β
The Questioner
π
Century Club
(26)
Conferences
ICLR (8)
ICML (6)
CVPR (2)
NIPS (2)
WACV (2)
AAAI (1)
AUTOML (1)
ECCV (1)
ICCV (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
representation learning
(3)
neural architecture search
(3)
knowledge distillation
(2)
domain generalization
(2)
neural network
(2)
transfer learning
(2)
metric learning
(1)
image segmentation
(1)
learning theory
(1)
image generation
(1)
few-shot learning
(1)
binary classification
(1)
semantic segmentation
(1)
domain adaptation
(1)
attention mechanism
(1)
feature learning
(1)
feature distribution
(1)
unsupervised pretraining
(1)
in-context learning
(1)
adversarial learning
(1)
Papers
Collapsed Language Models Promote Fairness
ICLR 2025
Automated, Interpretable, and Scalable Scientific Machine Learning
AAAI 2025
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
ICML 2025
On the Role of Label Noise in the Feature Learning Process
ICML 2025
On the Learning with Augmented Class via Forests
IJCAI 2025
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
CVPR 2024
Principled Architecture-aware Scaling of Hyperparameters
ICLR 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NIPS 2024
Lifelong Language Pretraining with Distribution-Specialized Experts
ICML 2023
βNo Free Lunchβ in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization
AUTOML 2023
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
WACV 2022
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
Auto-scaling Vision Transformers without Training
ICLR 2022
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
ICLR 2022
Learning to Optimize: A Primer and A Benchmark
JMLR 2022
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
NIPS 2022
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
ICLR 2021
Contrastive Syn-to-Real Generalization
ICLR 2021
FasterSeg: Searching for Faster Real-time Semantic Segmentation
ICLR 2020
Automated Synthetic-to-Real Generalization
ICML 2020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
ICML 2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
WACV 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
ICML 2020
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
CVPR 2019
ABD-Net: Attentive but Diverse Person Re-Identification
ICCV 2019