Image Change Detection Based on the Minimum Mean Square Error. - Yunchen Pu; Wei Wang 192; Qiongcheng Xu (CSO, 2012)

Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding. - Qiongcheng Xu; Wei Wang 192; Yunchen Pu; Huamin Zhong (CSO, 2012)

Bayesian Deep Deconvolutional Learning. - Yunchen Pu; Xin Yuan 002; Lawrence Carin (CoRR, 2014)

A Generative Model for Deep Convolutional Learning. - Yunchen Pu; Xin Yuan 002; Lawrence Carin (ICLR (Workshop), 2015)

A Deep Generative Deconvolutional Image Model. - Yunchen Pu; Xin Yuan 002; Andrew Stevens 005; Chunyuan Li; Lawrence Carin (AISTATS, 2016)

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. - Chunyuan Li; Andrew Stevens 005; Changyou Chen; Yunchen Pu; Zhe Gan; Lawrence Carin (CVPR, 2016)

Variational Autoencoder for Deep Learning of Images, Labels and Captions. - Yunchen Pu; Zhe Gan; Ricardo Henao; Xin Yuan 002; Chunyuan Li; Andrew Stevens 005; Lawrence Carin (NIPS, 2016)

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. - Zhe Gan; Yunchen Pu; Ricardo Henao; Chunyuan Li; Xiaodong He 001; Lawrence Carin (CoRR, 2016)

Deep Overcomplete Tensor Rank-Decompositions. - Andrew Stevens 005; Yunchen Pu; Yannan Sun; Gregory Spell; Lawrence Carin (CoRR, 2016)

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. - Zhe Gan; Chunyuan Li; Changyou Chen; Yunchen Pu; Qinliang Su; Lawrence Carin (ACL (1), 2017)

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. - Andrew Stevens 005; Yunchen Pu; Yannan Sun; Gregory Spell; Lawrence Carin (AISTATS, 2017)

Semantic Compositional Networks for Visual Captioning. - Zhe Gan; Chuang Gan 001; Xiaodong He 001; Yunchen Pu; Kenneth Tran; Jianfeng Gao 001; Lawrence Carin; Li Deng 001 (CVPR, 2017)

Learning Generic Sentence Representations Using Convolutional Neural Networks. - Zhe Gan; Yunchen Pu; Ricardo Henao; Chunyuan Li; Xiaodong He 001; Lawrence Carin (EMNLP, 2017)

Adaptive DCTNet for audio signal classification. - Yin Xian; Yunchen Pu; Zhe Gan; Liang Lu; Andrew Thompson 001 (ICASSP, 2017)

Convolutional factor analysis inspired compressive sensing. - Xin Yuan 002; Yunchen Pu (ICIP, 2017)

Adaptive Feature Abstraction for Translating Video to Language. - Yunchen Pu; Martin Renqiang Min; Zhe Gan; Lawrence Carin (ICLR (Workshop), 2017)

Triangle Generative Adversarial Networks. - Zhe Gan; Liqun Chen 001; Weiyao Wang 002; Yunchen Pu; Yizhe Zhang 002; Hao Liu 015; Chunyuan Li; Lawrence Carin (NIPS, 2017)

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. - Chunyuan Li; Hao Liu 015; Changyou Chen; Yunchen Pu; Liqun Chen 001; Ricardo Henao; Lawrence Carin (NIPS, 2017)

VAE Learning via Stein Variational Gradient Descent. - Yunchen Pu; Zhe Gan; Ricardo Henao; Chunyuan Li; Shaobo Han; Lawrence Carin (NIPS, 2017)

Adversarial Symmetric Variational Autoencoder. - Yunchen Pu; Weiyao Wang 002; Ricardo Henao; Liqun Chen 001; Zhe Gan; Chunyuan Li; Lawrence Carin (NIPS, 2017)

Stein Variational Autoencoder. - Yunchen Pu; Zhe Gan; Ricardo Henao; Chunyuan Li; Shaobo Han; Lawrence Carin (CoRR, 2017)

Compressive Sensing via Convolutional Factor Analysis. - Xin Yuan 002; Yunchen Pu; Lawrence Carin (CoRR, 2017)

Towards Understanding Adversarial Learning for Joint Distribution Matching. - Chunyuan Li; Hao Liu 015; Changyou Chen; Yunchen Pu; Liqun Chen 001; Ricardo Henao; Lawrence Carin (CoRR, 2017)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Yunchen Pu; Liqun Chen 001; Shuyang Dai; Weiyao Wang 002; Chunyuan Li; Lawrence Carin (CoRR, 2017)

Adaptive Feature Abstraction for Translating Video to Text. - Yunchen Pu; Martin Renqiang Min; Zhe Gan; Lawrence Carin (AAAI, 2018)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan 002; Yizhe Zhang 002; Changyou Chen; Piyush Rai; Lawrence Carin (AAAI, 2018)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Liqun Chen 001; Shuyang Dai; Yunchen Pu; Erjin Zhou; Chunyuan Li; Qinliang Su; Changyou Chen; Lawrence Carin (AISTATS, 2018)

Continuous-Time Flows for Efficient Inference and Density Estimation. - Changyou Chen; Chunyuan Li; Liquan Chen; Wenlin Wang; Yunchen Pu; Lawrence Carin (ICML, 2018)

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. - Yunchen Pu; Shuyang Dai; Zhe Gan; Weiyao Wang 002; Guoyin Wang 002; Yizhe Zhang 002; Ricardo Henao; Lawrence Carin (ICML, 2018)

Deep Generative Models for Image Representation Learning. - Yunchen Pu (2018)

Communication-Efficient Stochastic Gradient MCMC for Neural Networks. - Chunyuan Li; Changyou Chen; Yunchen Pu; Ricardo Henao; Lawrence Carin (AAAI, 2019)

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. - Xin Miao; Xin Yuan 002; Yunchen Pu; Vassilis Athitsos (ICCV, 2019)

Beyond Walking: Improving Urban Mobility Equity in the Age of Information. - Dadi An; Jiangchao Wang; Puxian Wang; Yuheng Yang; Yunchen Pu; Haorui Ke; Yuqin Chen (AHFE (2), 2020)

Inclusive Design in the Context of Smart Community. - Dadi An; Xinhe Lu; Ge Song; Yongqi Wang; Yunchen Pu; Yuqin Chen (AHFE (2), 2021)

How Depth of Field in Screen Images Affects Egocentric Distance Perception. - Yunchen Pu; Dadi An (Int. J. Hum. Comput. Interact., 2025)