Zhisheng Xiao

According to our database, Zhisheng Xiao authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models.

Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou

CoRR, 2023

HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models.

Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou

CoRR, 2023

MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices.

Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou

CoRR, 2023

UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs.

Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou

CoRR, 2023

2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model.

Zhisheng Xiao, Tian Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Two Symmetrized Coordinate Descent Methods Can Be O(n²⁾ Times Slower Than the Randomized Version.

Peijun Xiao, Zhisheng Xiao, Ruoyu Sun

SIAM J. Optim., 2021

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models.

Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher

CoRR, 2020

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2020

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder.

Zhisheng Xiao, Qing Yan, Yali Amit

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Method to Model Conditional Distributions with Normalizing Flows.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2019

Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity.

Peijun Xiao, Zhisheng Xiao, Ruoyu Sun

CoRR, 2019

Generative Latent Flow: A Framework for Non-adversarial Image Generation.

Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit

CoRR, 2019