Xuanyi Dong

University of Technology Sydney — Australia

Computer Science · Physical Sciences

32h-index7.2kcitations62works6.72yr avg
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Research Topics

Advanced Neural Network Applications(28), Domain Adaptation and Few-Shot Learning(21), Advanced Image and Video Retrieval Techniques(16), Machine Learning and Data Classification(11), Multimodal Machine Learning Applications(10)

Publications61 total

Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 6 cited
Automated Deep Learning: Neural Architecture Search Is Not the End
Foundations and Trends® in Machine Learning·2024· 13 cited
Automated Deep Learning: Neural Architecture Search Is Not the End
2024· 1 cited
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
arXiv (Cornell University)·2023· 14 citedOpen Access
Symbolic Discovery of Optimization Algorithms
arXiv (Cornell University)·2023· 166 citedOpen Access
PyGlove: Efficiently Exchanging ML Ideas as Code
arXiv (Cornell University)·2023Open Access
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence·2022· 91 citedOpen Access
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
arXiv (Cornell University)·2022· 18 citedOpen Access
Automated Deep Learning: Neural Architecture Search Is Not the End
arXiv (Cornell University)·2021· 15 citedOpen Access
Recognizing Vector Graphics without Rasterization
arXiv (Cornell University)·2021· 11 citedOpen Access
Recognizing Vector Graphics without Rasterization.
arXiv (Cornell University)·2021Open Access
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
arXiv (Cornell University)·2021· 7 citedOpen Access
NAHAS: Neural Architecture and Hardware Accelerator Search
2021· 1 cited
MASP: Model-Agnostic Sample Propagation for Few-shot learning
2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators
arXiv (Cornell University)·2021· 17 citedOpen Access
Isometric Propagation Network for Generalized Zero-shot Learning
arXiv (Cornell University)·2021· 11 citedOpen Access
PyGlove: Symbolic Programming for Automated Machine Learning
arXiv (Cornell University)·2021· 7 citedOpen Access
Efficient and Reproducible Automated Deep Learning
UTS ePRESS (University of Technology Sydney)·2021Open Access
Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation
2021· 8 cited
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 155 citedOpen Access
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Frequent Co-authors

Yi Yang(32), Guoliang Kang(7), Yanwei Fu(5), Fan Ma(5), Deyu Meng(5), Quoc V. Le(5), Bogdan Gabryś(5), Yang He(4), Yu Wu(4), Mingxing Tan(4), Daiyi Peng(4), Yutian Lin(3), Liang Zheng(3), Yan Yan(3), Yan Yan(3), Wanli Ouyang(3), Linchao Zhu(3), Shoou-I Yu(3), Xinshuo Weng(3), Shih-En Wei(3)