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2020 – today
- 2024
[c18]Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao:
Cross Initialization for Face Personalization of Text-to-Image Models. CVPR 2024: 8393-8403- [i12]Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang, Qing Li, Xudong Mao:
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation. CoRR abs/2406.05000 (2024) - [i11]Feize Wu, Yun Pang, Junyi Zhang, Lianyu Pang, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao:
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization. CoRR abs/2408.15914 (2024) - 2023
- [i10]Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao:
Cross Initialization for Personalized Text-to-Image Generation. CoRR abs/2312.15905 (2023) - 2022
- [j12]Aurele Tohokantche Gnanha
, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li:
αβ-GAN: Robust generative adversarial networks. Inf. Sci. 593: 177-200 (2022) - [j11]Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li:
The residual generator: An improved divergence minimization framework for GAN. Pattern Recognit. 121: 108222 (2022) - [j10]Yucheng Xie, Zehang Lin, Zhenguo Yang, Huan Deng, Xingcai Wu, Xudong Mao, Qing Li, Wenyin Liu:
Learning semantic alignment from image for text-guided image inpainting. Vis. Comput. 38(9): 3149-3161 (2022) - [c17]Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. ACM Multimedia 2022: 2032-2041 - [i9]Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. CoRR abs/2207.09367 (2022) - 2021
- [c16]Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin:
Generative Semi-supervised Learning for Multivariate Time Series Imputation. AAAI 2021: 8983-8991 - [c15]Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-Image Translation via Hierarchical Style Disentanglement. CVPR 2021: 8639-8648 - [c14]Yun Ma, Yangbin Chen, Xudong Mao, Qing Li:
Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer. EMNLP (1) 2021: 9250-9266 - [c13]Jiading Ling, Xingcai Wu, Zhenguo Yang, Xudong Mao, Qing Li, Wenyin Liu:
Multi-branch Semantic Learning Network for Text-to-Image Synthesis. MMAsia 2021: 37:1-37:5 - [c12]Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. NeurIPS 2021: 28560-28572 - [i8]Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-image Translation via Hierarchical Style Disentanglement. CoRR abs/2103.01456 (2021) - [i7]Keke Wang, Xudong Mao, Hao Wu, Chen Ding, Chuxiang Shang, Rui Xia, Yuxuan Wang:
The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021. CoRR abs/2109.02047 (2021) - [i6]Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. CoRR abs/2110.14439 (2021) - 2020
- [c11]Yun Ma, Xudong Mao, Yangbin Chen, Qing Li:
Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j9]Qiping Wang, Raymond Yiu-Keung Lau, Xudong Mao:
Blockchain-Enabled Smart Contracts for Enhancing Distributor-to-Consumer Transactions. IEEE Consumer Electron. Mag. 8(6): 22-28 (2019) - [j8]Yangbin Chen, Yun Ma, Xudong Mao, Qing Li:
Multi-Task Learning for Abstractive and Extractive Summarization. Data Sci. Eng. 4(1): 14-23 (2019) - [j7]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
On the Effectiveness of Least Squares Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2947-2960 (2019) - [c10]Yong Li, Zhenguo Yang, Xudong Mao, Yong Wang, Qing Li, Wenyin Liu, Ying Wang:
GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution. CGI 2019: 395-401 - [c9]Ziliang He, Zhenguo Yang, Xudong Mao, Jianming Lv, Qing Li, Wenyin Liu:
Self-attention StarGAN for Multi-domain Image-to-Image Translation. ICANN (3) 2019: 537-549 - [c8]Yun Ma, Xudong Mao, Yangbin Chen, Qing Li:
Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning. WISE 2019: 115-129 - [i5]Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, Qing Li:
Virtual Mixup Training for Unsupervised Domain Adaptation. CoRR abs/1905.04215 (2019) - 2018
- [j6]Jueying Bai, Qian Cui, Deqing Chen, Haiwei Yu, Xudong Mao, Lingkui Meng, Yang Cai:
Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China. Remote. Sens. 10(8): 1302 (2018) - [c7]Yangbin Chen, Yun Ma, Xudong Mao, Qing Li:
Abstractive Summarization with the Aid of Extractive Summarization. APWeb/WAIM (1) 2018: 3-15 - [c6]Xudong Mao, Qing Li:
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs. IJCAI 2018: 2553-2559 - [i4]Xudong Mao, Qing Li:
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs. CoRR abs/1805.02456 (2018) - 2017
- [j5]Detian Zhang, Yuan Liu, An Liu, Xudong Mao, Qing Li:
Efficient Path Query Processing Through Cloud-Based Mapping Services. IEEE Access 5: 12963-12973 (2017) - [j4]Haoran Xie, Fu Lee Wang, Xudong Mao, Ke Li, Qing Li, Handing Wang:
Recent advances in semantic computing and personalization. Neurocomputing 254: 1-2 (2017) - [c5]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
Least Squares Generative Adversarial Networks. ICCV 2017: 2813-2821 - [i3]Xudong Mao, Qing Li, Haoran Xie:
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks. CoRR abs/1707.01400 (2017) - [i2]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
On the Effectiveness of Least Squares Generative Adversarial Networks. CoRR abs/1712.06391 (2017) - 2016
- [i1]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang:
Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR abs/1611.04076 (2016) - 2014
- [j3]Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Qianru Zheng:
Mining Latent User Community for Tag-Based and Content-Based Search in Social Media. Comput. J. 57(9): 1415-1430 (2014) - [j2]Yanghui Rao, Qing Li, Xudong Mao, Liu Wenyin:
Sentiment topic models for social emotion mining. Inf. Sci. 266: 90-100 (2014) - [j1]Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao:
Community-aware user profile enrichment in folksonomy. Neural Networks 58: 111-121 (2014) - [c4]Xudong Mao, Qing Li, Haoran Xie, Yanghui Rao:
Popularity Tendency Analysis of Ranking-Oriented Collaborative Filtering from the Perspective of Loss Function. DASFAA (1) 2014: 451-465 - 2013
- [c3]Xudong Mao, Yanghui Rao, Qing Li:
Recipe popularity prediction based on the analysis of social reviews. iCAST/UMEDIA 2013: 568-573 - [c2]Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, Yanghui Rao:
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy. Web Intelligence 2013: 367-372 - 2012
- [c1]Haoran Xie, Qing Li, Xudong Mao:
Context-Aware Personalized Search Based on User and Resource Profiles in Folksonomies. APWeb 2012: 97-108
Coauthor Index
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