Xudong Mao

Orcid: 0000-0002-1952-4176

According to our database1, Xudong Mao authored at least 37 papers between 2012 and 2024.

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

Timeline

Legend:

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Bibliography

2024
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization.
CoRR, 2024

AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation.
CoRR, 2024

Cross Initialization for Face Personalization of Text-to-Image Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Cross Initialization for Personalized Text-to-Image Generation.
CoRR, 2023

2022
Learning semantic alignment from image for text-guided image inpainting.
Vis. Comput., 2022

The residual generator: An improved divergence minimization framework for GAN.
Pattern Recognit., 2022

αβ-GAN: Robust generative adversarial networks.
Inf. Sci., 2022

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021.
CoRR, 2021

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-branch Semantic Learning Network for Text-to-Image Synthesis.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Image-to-Image Translation via Hierarchical Style Disentanglement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generative Semi-supervised Learning for Multivariate Time Series Imputation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
On the Effectiveness of Least Squares Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multi-Task Learning for Abstractive and Extractive Summarization.
Data Sci. Eng., 2019

Virtual Mixup Training for Unsupervised Domain Adaptation.
CoRR, 2019

Blockchain-Enabled Smart Contracts for Enhancing Distributor-to-Consumer Transactions.
IEEE Consumer Electron. Mag., 2019

Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Self-attention StarGAN for Multi-domain Image-to-Image Translation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution.
Proceedings of the Advances in Computer Graphics, 2019

2018
Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China.
Remote. Sens., 2018

Unpaired Multi-Domain Image Generation via Regularized Conditional GANs.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Abstractive Summarization with the Aid of Extractive Summarization.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Recent advances in semantic computing and personalization.
Neurocomputing, 2017

AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks.
CoRR, 2017

Efficient Path Query Processing Through Cloud-Based Mapping Services.
IEEE Access, 2017

Least Squares Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Multi-class Generative Adversarial Networks with the L2 Loss Function.
CoRR, 2016

2014
Community-aware user profile enrichment in folksonomy.
Neural Networks, 2014

Sentiment topic models for social emotion mining.
Inf. Sci., 2014

Mining Latent User Community for Tag-Based and Content-Based Search in Social Media.
Comput. J., 2014

Popularity Tendency Analysis of Ranking-Oriented Collaborative Filtering from the Perspective of Loss Function.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Recipe popularity prediction based on the analysis of social reviews.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

2012
Context-Aware Personalized Search Based on User and Resource Profiles in Folksonomies.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012


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