Wuyang Chen

Orcid: 0000-0002-7746-4191

According to our database1, Wuyang Chen authored at least 37 papers between 2019 and 2024.

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Bibliography

2024
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Principled Architecture-aware Scaling of Hyperparameters.
CoRR, 2024

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.
CoRR, 2024

2023
Evaluation of CFOSAT Wave Height Data with In Situ Observations in the South China Sea.
Remote. Sens., February, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR, 2023

Lifelong Language Pretraining with Distribution-Specialized Experts.
Proceedings of the International Conference on Machine Learning, 2023

"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization.
Proceedings of the International Conference on Automated Machine Learning, 2023

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.
ACM Trans. Design Autom. Electr. Syst., 2022

Calibration Experiments of CFOSAT Wavelength in the Southern South China Sea by Artificial Neural Networks.
Remote. Sens., 2022

Learning to Optimize: A Primer and A Benchmark.
J. Mach. Learn. Res., 2022

Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Auto-scaling Vision Transformers without Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Evaluation of CFOSAT Scatterometer Wind Data in Global Oceans.
Remote. Sens., 2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.
CoRR, 2021

Font Completion and Manipulation by Cycling Between Multi-Modality Representations.
CoRR, 2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.
CoRR, 2021

Sandwich Batch Normalization.
CoRR, 2021

An Integrated Correction Algorithm for Multi-Node Data from the Hydro-Meteorological Monitoring System in the South China Sea.
Proceedings of the Spatial Data and Intelligence - Second International Conference, 2021

Contrastive Syn-to-Real Generalization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021

Reform and Practice of Power Electronic Technology Course Based on PBL.
Proceedings of the 10th International Conference on Educational and Information Technology, 2021

The Path of University Collaborative Innovation Mechanism Based on the Triple-Helix Model.
Proceedings of the 10th International Conference on Educational and Information Technology, 2021

Construction of Intelligent Adaptive Learning Platform in Ubiquitous Environment.
Proceedings of the 10th International Conference on Educational and Information Technology, 2021

Connotation, Characteristics, Function and Realization of Ubiquitous Learning.
Proceedings of the 10th International Conference on Educational and Information Technology, 2021

2020
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation.
CoRR, 2020

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Synthetic-to-Real Generalization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

FasterSeg: Searching for Faster Real-time Semantic Segmentation.
Proceedings of the 8th International Conference on Learning Representations, 2020

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
ABD-Net: Attentive but Diverse Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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