Generative Latent Flow: A Framework for Non-adversarial Image Generation. - Zhisheng Xiao; Qing Yan; Yi-an Chen; Yali Amit (CoRR, 2019)

Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. - Peijun Xiao; Zhisheng Xiao; Ruoyu Sun 001 (CoRR, 2019)

A Method to Model Conditional Distributions with Normalizing Flows. - Zhisheng Xiao; Qing Yan; Yali Amit (CoRR, 2019)

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. - Zhisheng Xiao; Qing Yan; Yali Amit (NeurIPS, 2020)

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. - Zhisheng Xiao; Qing Yan; Yali Amit (CoRR, 2020)

ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Huajie Shao; Zhisheng Xiao; Shuochao Yao; Aston Zhang; Shengzhong Liu; Tarek F. Abdelzaher (CoRR, 2020)

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. - Zhisheng Xiao; Karsten Kreis; Jan Kautz; Arash Vahdat (ICLR, 2021)

EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. - Zhisheng Xiao; Qing Yan; Yali Amit (CoRR, 2021)

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? - Zhisheng Xiao; Qing Yan; Yali Amit (CoRR, 2021)

Two Symmetrized Coordinate Descent Methods Can Be O(n2) Times Slower Than the Randomized Version. - Peijun Xiao; Zhisheng Xiao; Ruoyu Sun 001 (SIAM J. Optim., 2021)

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. - Zhisheng Xiao; Karsten Kreis; Arash Vahdat (ICLR, 2022)

Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. - Zhisheng Xiao; Tian Han 001 (NeurIPS, 2022)

ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Huajie Shao; Zhisheng Xiao; Shuochao Yao; Dachun Sun; Aston Zhang; Shengzhong Liu; Tianshi Wang; Jinyang Li 004; Tarek F. Abdelzaher (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices. - Yang Zhao; Yanwu Xu 003; Zhisheng Xiao; Tingbo Hou (CoRR, 2023)

HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. - Zhonghao Wang 001; Wei Wei; Yang Zhao; Zhisheng Xiao; Mark Hasegawa-Johnson; Humphrey Shi; Tingbo Hou (CoRR, 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 003; Kun Zhang 001; Tingbo Hou (CoRR, 2023)

UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. - Yanwu Xu 003; Yang Zhao; Zhisheng Xiao; Tingbo Hou (CVPR, 2024)

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices. - Yang Zhao; Yanwu Xu 003; Zhisheng Xiao; Haolin Jia 001; Tingbo Hou (ECCV (62), 2024)

EM Distillation for One-step Diffusion Models. - Sirui Xie; Zhisheng Xiao; Diederik P. Kingma; Tingbo Hou; Ying Nian Wu; Kevin P. Murphy; Tim Salimans; Ben Poole; Ruiqi Gao (NeurIPS, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)