Zeng, Delu

13 publications

AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley

ICML 2025 Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng

NeurIPS 2025 EVODiff: Entropy-Aware Variance Optimized Diffusion Inference Shigui Li, Wei Chen, Delu Zeng

UAI 2025 Variational Learning of Gaussian Process Latent Variable Models Through Stochastic Gradient Annealed Importance Sampling Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley

ICML 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu, Delu Zeng, John Paisley

AAAI 2024 Sparse Variational Student-T Processes Jian Xu, Delu Zeng

AAAI 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley

CVPR 2022 TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization Adjoint with Moving Speed Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng

CVPRW 2019 Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions Yixuan He, Tianyi Hu, Delu Zeng

IJCAI 2018 MEnet: A Metric Expression Network for Salient Object Segmentation Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley

CVPR 2017 Removing Rain from Single Images via a Deep Detail Network Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley

CVPR 2016 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding

ICCV 2015 Pan-Sharpening with a Hyper-Laplacian Penalty Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley