Wuyang Chen
27 papers · 2019–2026 · 11 venues · across top CS/AI venues
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Research topics
Machine Learning
(23)
Deep Learning
(12)
Application Areas
(10)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Techniques
(7)
Learning Types Β· Machine Learning
(6)
Core AI
(5)
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Core Methods
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Computer Vision
(3)
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(2)
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(1)
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(1)
Keywords
neural architecture search
(6)
representation learning
(3)
knowledge distillation
(3)
neural network
(3)
large language model
(2)
semantic segmentation
(2)
synthetic data
(2)
domain generalization
(2)
image segmentation
(2)
partial differential equation
(2)
model compression
(2)
model architecture
(2)
feature learning
(2)
transfer learning
(2)
neural network optimization
(2)
mixture of expert
(2)
few-shot learning
(1)
contrastive learning
(1)
vision transformer
(1)
adversarial learning
(1)
Papers
FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction
CVPR 2026
Automated, Interpretable, and Scalable Scientific Machine Learning
AAAI 2025
Collapsed Language Models Promote Fairness
ICLR 2025
On the Learning with Augmented Class via Forests
IJCAI 2025
On the Role of Label Noise in the Feature Learning Process
ICML 2025
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
ICML 2025
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NeurIPS 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Principled Architecture-aware Scaling of Hyperparameters
ICLR 2024
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
CVPR 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
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
Auto-scaling Vision Transformers without Training
ICLR 2022
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
NeurIPS 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
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
WACV 2022
Contrastive Syn-to-Real Generalization
ICLR 2021
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
ICLR 2021
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
ICML 2020
Automated Synthetic-to-Real Generalization
ICML 2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
WACV 2020
FasterSeg: Searching for Faster Real-time Semantic Segmentation
ICLR 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
ICML 2020
ABD-Net: Attentive but Diverse Person Re-Identification
ICCV 2019
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
CVPR 2019