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Zhisheng Xiao
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Journal Articles
- 2022
- [j2]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9285-9297 (2022) - 2021
- [j1]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Two Symmetrized Coordinate Descent Methods Can Be O(n2) Times Slower Than the Randomized Version. SIAM J. Optim. 31(4): 2726-2752 (2021)
Conference and Workshop Papers
- 2022
- [c4]Zhisheng Xiao, Karsten Kreis, Arash Vahdat:
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. ICLR 2022 - [c3]Zhisheng Xiao, Tian Han:
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. NeurIPS 2022 - 2021
- [c2]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. ICLR 2021 - 2020
- [c1]Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. NeurIPS 2020
Informal and Other Publications
- 2024
- [i16]Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao:
EM Distillation for One-step Diffusion Models. CoRR abs/2405.16852 (2024) - 2023
- [i15]Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou:
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CoRR abs/2311.09257 (2023) - [i14]Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou:
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices. CoRR abs/2311.16567 (2023) - [i13]Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou:
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. CoRR abs/2312.00079 (2023) - [i12]Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou:
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models. CoRR abs/2312.03771 (2023) - 2022
- [i11]Zhisheng Xiao, Tian Han:
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. CoRR abs/2209.08739 (2022) - 2021
- [i10]Zhisheng Xiao, Qing Yan, Yali Amit:
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. CoRR abs/2102.11757 (2021) - [i9]Zhisheng Xiao, Qing Yan, Yali Amit:
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? CoRR abs/2105.09270 (2021) - [i8]Zhisheng Xiao, Karsten Kreis, Arash Vahdat:
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. CoRR abs/2112.07804 (2021) - 2020
- [i7]Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. CoRR abs/2003.02977 (2020) - [i6]Zhisheng Xiao, Qing Yan, Yali Amit:
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. CoRR abs/2006.08100 (2020) - [i5]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. CoRR abs/2010.00654 (2020) - [i4]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR abs/2011.01754 (2020) - 2019
- [i3]Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit:
Generative Latent Flow: A Framework for Non-adversarial Image Generation. CoRR abs/1905.10485 (2019) - [i2]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR abs/1910.04366 (2019) - [i1]Zhisheng Xiao, Qing Yan, Yali Amit:
A Method to Model Conditional Distributions with Normalizing Flows. CoRR abs/1911.02052 (2019)
Coauthor Index
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