Jian Xu - RankMe

21 papers A* 3A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment. CoRR Wei Chen, Shigui Li, Jiacheng Li, Jian Xu, Zhiqi Lin, Junmei Yang, Delu Zeng, John Paisley, Qibin Zhao
2025	A	`conf`	Bayesian Gaussian Process ODEs via Double Normalizing Flows. AISTATS Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley
2025	J	`jnl`	Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement. CoRR Jian Xu, Wei Chen, Shigui Li, Delu Zeng, John Paisley, Qibin Zhao
2025	J	`jnl`	Diffusion Bridge Variational Inference for Deep Gaussian Processes. CoRR Jian Xu, Qibin Zhao, John Paisley, Delu Zeng
2025	J	`jnl`	Fully Bayesian differential Gaussian processes through stochastic differential equations. Knowl. Based Syst. Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2025	J	`jnl`	Neural Bridge Processes. CoRR Jian Xu, Yican Liu, Qibin Zhao, John Paisley, Delu Zeng
2025	J	`jnl`	Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2025	J	`jnl`	ReciprocalLA-LLIE: Low-light image enhancement with luminance-aware reciprocal diffusion process. Neurocomputing Zhiqi Lin, Wei Chen, Jian Xu, Delu Zeng, Min Chen
2025	A	`conf`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. UAI Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley
2024	J	`jnl`	Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling. CoRR Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2024	J	`jnl`	Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations. CoRR Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2024	J	`jnl`	Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes. CoRR Jian Xu, Delu Zeng, John W. Paisley
2024	A*	`conf`	Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference. ICML Jian Xu, Delu Zeng, John W. Paisley
2024	J	`jnl`	Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference. CoRR Jian Xu, Delu Zeng, John W. Paisley
2024	A*	`conf`	Sparse Variational Student-t Processes. AAAI Jian Xu, Delu Zeng
2024	J	`jnl`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2023	J	`jnl`	Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng
2023	J	`jnl`	Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2023	J	`jnl`	Sparse Variational Student-t Processes. CoRR Jian Xu, Delu Zeng
2022	A*	`conf`	TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. CVPR Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
2022	J	`jnl`	TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. CoRR Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng