Zhisheng Xiao - RankMe

25 papers A* 6Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	EM Distillation for One-step Diffusion Models. NeurIPS Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin P. Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024	J	`jnl`	EM Distillation for One-step Diffusion Models. CoRR Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024	—	`conf`	MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices. ECCV (62) Yang Zhao, Yanwu Xu, Zhisheng Xiao, Haolin Jia, Tingbo Hou
2024	A*	`conf`	UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CVPR Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou
2023	J	`jnl`	DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models. CoRR Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou
2023	J	`jnl`	HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. CoRR Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou
2023	J	`jnl`	MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices. CoRR Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou
2023	J	`jnl`	UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CoRR Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou
2022	A*	`conf`	Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. NeurIPS Zhisheng Xiao, Tian Han
2022	J	`jnl`	Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. CoRR Zhisheng Xiao, Tian Han
2022	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
2022	A*	`conf`	Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. ICLR Zhisheng Xiao, Karsten Kreis, Arash Vahdat
2021	J	`jnl`	Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? CoRR Zhisheng Xiao, Qing Yan, Yali Amit
2021	J	`jnl`	EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. CoRR Zhisheng Xiao, Qing Yan, Yali Amit
2021	J	`jnl`	Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. CoRR Zhisheng Xiao, Karsten Kreis, Arash Vahdat
2021	J	`jnl`	Two Symmetrized Coordinate Descent Methods Can Be O(n SIAM J. Optim. Peijun Xiao, Zhisheng Xiao, Ruoyu Sun
2021	A*	`conf`	VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. ICLR Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
2020	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher
2020	J	`jnl`	Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. CoRR Zhisheng Xiao, Qing Yan, Yali Amit
2020	A*	`conf`	Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. NeurIPS Zhisheng Xiao, Qing Yan, Yali Amit
2020	J	`jnl`	Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. CoRR Zhisheng Xiao, Qing Yan, Yali Amit
2020	J	`jnl`	VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. CoRR Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
2019	J	`jnl`	A Method to Model Conditional Distributions with Normalizing Flows. CoRR Zhisheng Xiao, Qing Yan, Yali Amit
2019	J	`jnl`	Generative Latent Flow: A Framework for Non-adversarial Image Generation. CoRR Zhisheng Xiao, Qing Yan, Yi-An Chen, Yali Amit
2019	J	`jnl`	Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR Peijun Xiao, Zhisheng Xiao, Ruoyu Sun