| 2025 | AISTATS | Bayesian Gaussian Process ODEs via Double Normalizing Flows. | Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley |
| 2025 | ICML | Dequantified Diffusion-Schrdinger Bridge for Density Ratio Estimation. | Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng |
| 2025 | SMC | A Wavelet-Enhanced Sparse Framework for Time Series Forecasting. | Jiacheng Li, Wei Chen, Yican Liu, Delu Zeng |
| 2025 | SMC | Hand-Eye Calibration with Kernel Density and Decay Noise: An E-TD5 Reinforcement Learning Approach. | Jiacheng Li, Yican Liu, Wei Chen, Delu Zeng |
| 2025 | UAI | 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 |
| 2024 | AAAI | Sparse Variational Student-t Processes. | Jian Xu, Delu Zeng |
| 2024 | ICASSP | Low Redundant Attention Network for Efficient Image Super-Resolution. | Yican Liu, Jiacheng Li, Delu Zeng |
| 2024 | ICML | Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference. | Jian Xu, Delu Zeng, John W. Paisley |
| 2023 | AAAI | Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. | Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley |
| 2022 | CVPR | TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. | Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng |
| 2021 | ICIP | A Metric For Quantifying Image Quality Induced Saliency Variation. | Pengfei Guo, Xin Zhao, Delu Zeng, Hantao Liu |
| 2019 | CVPR | Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. | Yixuan He, Tianyi Hu, Delu Zeng |
| 2019 | ICANN | Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection. | Tao Zheng, Bo Li, Delu Zeng, Zhiheng Zhou |
| 2018 | ICASSP | Bindctnet: A Simple Binary Dct Network for Image Classification. | Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding |
| 2018 | IJCAI | MEnet: A Metric Expression Network for Salient Object Segmentation. | Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley |
| 2017 | CVPR | Removing Rain from Single Images via a Deep Detail Network. | Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley |
| 2017 | ICASSP | Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. | Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding |
| 2017 | ICONIP | Resource Allocation and Optimization Based on Queuing Theory and BP Network. | Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao |
| 2016 | CVPR | A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. | Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2015 | ICASSP | Fast magnetic susceptibility reconstruction using L0 norm of gradient. | Weijun Liu, Jianzhong Lin, Congbo Cai, Delu Zeng, Xinghao Ding |
| 2015 | ICCV | Pan-Sharpening with a Hyper-Laplacian Penalty. | Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley |
| 2014 | MMSP | A fusion-based enhancing approach for single sandstorm image. | Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2014 | MMSP | Robust mixed noise removal with non-parametric Bayesian sparse outlier model. | Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding |
| 2013 | ICONIP | Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. | Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai |
| 2007 | ICCS | Contour Extraction Algorithm Using a Robust Neural Network. | Zhiheng Zhou, Zhengfang Li, Delu Zeng |
| 2006 | ICONIP | Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network. | Delu Zeng, Shengli Xie, Zhiheng Zhou |