Yunyang Xiong

According to our database1, Yunyang Xiong authored at least 28 papers between 2014 and 2024.

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Bibliography

2024
An Introduction to Vision-Language Modeling.
CoRR, 2024

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion.
Proceedings of the International Conference on 3D Vision, 2024

2023
SqueezeSAM: User friendly mobile interactive segmentation.
CoRR, 2023

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.
CoRR, 2023

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Point Cloud Generation with Straight Flows.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Positioning Point-Based Transformer for Point Cloud Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.
CoRR, 2022

SageMix: Saliency-Guided Mixup for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Isogeometric Least-Squares Collocation Method with Consistency and Convergence Analysis.
J. Syst. Sci. Complex., 2020

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
CoRR, 2020

2019
Resource Constrained Neural Network Architecture Search.
CoRR, 2019

ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification.
CoRR, 2019

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging.
Proceedings of the Information Processing in Medical Imaging, 2019

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty.
CoRR, 2018

2017
Filter Flow Made Practical: Massively Parallel and Lock-Free.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2014
Affine Arithmetic-Based B-Spline Surface Intersection with GPU Acceleration.
IEEE Trans. Vis. Comput. Graph., 2014

Semi-structured B-spline for blending two B-spline surfaces.
Comput. Math. Appl., 2014


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