Wuyang Chen
Orcid: 0009-0009-4022-4301
According to our database1,
Wuyang Chen
authored at least 45 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Interannual Variations in the Summer Coastal Upwelling in the Northeastern South China Sea.
Remote. Sens., April, 2024
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
CoRR, 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.
CoRR, 2024
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Voice-to-Face Generation: Couple of Self-Supervised Representation Learning with Diffusion Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
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
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
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
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
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
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.
CoRR, 2021
CoRR, 2021
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.
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
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
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
Proceedings of the 10th International Conference on Educational and Information Technology, 2021
Proceedings of the 10th International Conference on Educational and Information Technology, 2021
2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
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
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