← Authors

Wuyang Chen

26 papers · 2019–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (30) 🌍 Conference Polyglot (11) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (75) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ’Ž 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

Zhangyang Wang (17) Tianlong Chen (6) Wei Huang (4) Xinyu Gong (4) Denny Zhou (3) Ye Yuan (3) Yunchao Wei (2) Boris Hanin (2) Xianzhi Du (2) Jialin Song (2)

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
β€œNo Free Lunch” 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