Yuan Hao

Orcid: 0000-0002-9042-0257

According to our database1, Yuan Hao authored at least 27 papers between 2011 and 2023.

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Bibliography

2023
StyleDrop: Text-to-Image Generation in Any Style.
CoRR, 2023

Learning Disentangled Prompts for Compositional Image Synthesis.
CoRR, 2023

StyleDrop: Text-to-Image Synthesis of Any Style.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAGVIT: Masked Generative Video Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Prompt Tuning for Generative Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Video Image Processing Method for Continuous Object Detection.
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022
Color-strip Recognition Based Information Management System: Implementation on OBD Management.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

BLT: Bidirectional Layout Transformer for Controllable Layout Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2020
Performance Improvement for Wireless Sensors Networks by Adopting Hybrid Subcarrier Intensity Modulation Over Exponentiated Weibull Turbulence Channels.
IEEE Access, 2020

High-Accuracy Recognition of Orbital Angular Momentum Modes Propagated in Atmospheric Turbulences Based on Deep Learning.
IEEE Access, 2020

Optimization Strategy of Tianjin Passenger Transport Hub under the Collaborative Development of Beijing, Tianjin Municipalities and Hebei Province.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

Real-time Group Route Diversion Control Considering Dynamic Response Behavior.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

2019
Study on data fuzzy breakpoint detection in massive dynamic data flow.
Int. J. Inf. Comput. Secur., 2019

2017
Exploration of a Hybrid Design Based on EEG and Eye Movement.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2015
A general framework for never-ending learning from time series streams.
Data Min. Knowl. Discov., 2015

Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
Data Min. Knowl. Discov., 2015

2014
Supervised and Unsupervised Discovery of Structures in Large Data Archives.
PhD thesis, 2014

Generating Synthetic Data to Allow Learning from a Single Exemplar per Class.
Proceedings of the Similarity Search and Applications - 7th International Conference, 2014

Design and Implementation of Enterprise Office Management System Based on PHP.
Proceedings of the Digital Services and Information Intelligence, 2014

2013
Mining frequent itemsets over tuple-evolving data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Towards never-ending learning from time series streams.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Parameter-Free Audio Motif Discovery in Large Data Archives.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Monitoring and Mining Insect Sounds in Visual Space.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011
Towards Automatic Classification on Flying Insects Using Inexpensive Sensors.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Research on Hierarchical Genetic Algorithm Optimized Based on Fuzzy Neural Network.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011


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