Xuanyi Dong

Orcid: 0000-0001-9272-1590

According to our database1, Xuanyi Dong authored at least 47 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automated Deep Learning: Neural Architecture Search Is Not the End.
Found. Trends Mach. Learn., 2024

2023
Symbolic Discovery of Optimization Algorithms.
CoRR, 2023

PyGlove: Efficiently Exchanging ML Ideas as Code.
CoRR, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Symbolic Discovery of Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.
CoRR, 2022

Towards the Co-design of Neural Networks and Accelerators.
Proceedings of Machine Learning and Systems 2022, 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Efficient and Reproducible Automated Deep Learning
PhD thesis, 2021

Supervision by Registration and Triangulation for Landmark Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision.
CoRR, 2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators.
CoRR, 2021

Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Recognizing Vector Graphics without Rasterization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Isometric Propagation Network for Generalized Zero-shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Compact Design of Passive Networks in RF and Millimeter-Wave Integrated Circuits (invited).
Proceedings of the IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium, 2021

2020
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.
IEEE Trans. Cybern., 2020

Self-paced Multi-view Co-training.
J. Mach. Learn. Res., 2020

AutoHAS: Differentiable Hyper-parameter and Architecture Search.
CoRR, 2020

PyGlove: Symbolic Programming for Automated Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

When Humans Meet Machines: Towards Efficient Segmentation Networks.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Progressive Learning for Person Re-Identification With One Example.
IEEE Trans. Image Process., 2019

Late Fusion via Subspace Search With Consistency Preservation.
IEEE Trans. Image Process., 2019

Few-Example Object Detection with Model Communication.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Network Pruning via Transformable Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

One-Shot Neural Architecture Search via Self-Evaluated Template Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Searching for a Robust Neural Architecture in Four GPU Hours.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Progressive Deep Neural Networks Acceleration via Soft Filter Pruning.
CoRR, 2018

UTS_CAI submission at TRECVID 2018 Ad-hoc Video Search Task.
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Activities in Extended Video.
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Style Aggregated Network for Facial Landmark Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks.
CoRR, 2017

PatchShuffle Regularization.
CoRR, 2017

Few-shot Object Detection.
CoRR, 2017

A Dual-Network Progressive Approach to Weakly Supervised Object Detection.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Self-Paced Co-training.
Proceedings of the 34th International Conference on Machine Learning, 2017

More is Less: A More Complicated Network with Less Inference Complexity.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
UTS-CMU-D2DCRC Submission at TRECVID 2016 Video Localization.
Proceedings of the 2016 TREC Video Retrieval Evaluation, 2016


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