| 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 |
| 2020 | UAI | Risk Bounds for Low Cost Bipartite Ranking. | San Gultekin, John W. Paisley |
| 2019 | AIES | Global Explanations of Neural Networks: Mapping the Landscape of Predictions. | Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley |
| 2019 | ICASSP | Fully Supervised Speaker Diarization. | Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang |
| 2019 | ICCV | JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. | Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John W. Paisley |
| 2019 | ICCV | Deep Blind Hyperspectral Image Fusion. | Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley |
| 2019 | ICML | Random Function Priors for Correlation Modeling. | Aonan Zhang, John W. Paisley |
| 2018 | AAAI | Compressed Sensing MRI Using a Recursive Dilated Network. | Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley |
| 2018 | ECCV | A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. | Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley |
| 2018 | GLOBECOM | Asymptotic Simulated Annealing for Variational Inference. | San Gultekin, Aonan Zhang, John W. Paisley |
| 2018 | ICML | CRVI: Convex Relaxation for Variational Inference. | Ghazal Fazelnia, John W. Paisley |
| 2018 | ICML | Deep Bayesian Nonparametric Tracking. | Aonan Zhang, John W. Paisley |
| 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 | ICCV | PanNet: A Deep Network Architecture for Pan-Sharpening. | Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John W. Paisley |
| 2017 | ICLR | TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. | Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley |
| 2016 | AISTATS | Stochastic Variational Inference for the HDP-HMM. | Aonan Zhang, San Gultekin, John W. Paisley |
| 2016 | ICML | Markov Latent Feature Models. | Aonan Zhang, John W. Paisley |
| 2015 | ICCV | Pan-Sharpening with a Hyper-Laplacian Penalty. | Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley |
| 2015 | ICML | Landmarking Manifolds with Gaussian Processes. | Dawen Liang, John W. Paisley |
| 2015 | ICML | Markov Mixed Membership Models. | Aonan Zhang, John W. Paisley |
| 2015 | KDD | Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. | Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach |
| 2014 | AISTATS | Pan-sharpening with a Bayesian nonparametric dictionary learning model. | Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley |
| 2014 | ICDM | A Collaborative Kalman Filter for Time-Evolving Dyadic Processes. | San Gultekin, John W. Paisley |
| 2013 | ICIP | Compressed sensing MRI with Bayesian dictionary learning. | Xinghao Ding, John W. Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-Ping (Steven) Zhang |
| 2013 | ICIP | Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. | Jin Xie, Yue Huang, John W. Paisley, Xinghao Ding, Xiao-Ping (Steven) Zhang |
| 2012 | ICML | Variational Bayesian Inference with Stochastic Search. | John W. Paisley, David M. Blei, Michael I. Jordan |
| 2011 | ICML | Variational Inference for Stick-Breaking Beta Process Priors. | John W. Paisley, Lawrence Carin, David M. Blei |
| 2010 | ICASSP | Sparse linear regression with beta process priors. | Bo Chen, John W. Paisley, Lawrence Carin |
| 2010 | ICASSP | A nonparametric Bayesian model for kernel matrix completion. | John W. Paisley, Lawrence Carin |
| 2010 | ICIP | Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors. | John W. Paisley, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin |
| 2010 | ICML | A Stick-Breaking Construction of the Beta Process. | John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin |
| 2009 | ICASSP | Dirichlet process mixture models with multiple modalities. | John W. Paisley, Lawrence Carin |
| 2009 | ICML | Nonparametric factor analysis with beta process priors. | John W. Paisley, Lawrence Carin |