Yunchen Pu

According to our database1, Yunchen Pu authored at least 34 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Inclusive Design in the Context of Smart Community.
Proceedings of the Advances in Industrial Design, 2021

2020
Beyond Walking: Improving Urban Mobility Equity in the Age of Information.
Proceedings of the Advances in Industrial Design, 2020

2019
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Communication-Efficient Stochastic Gradient MCMC for Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Generative Models for Image Representation Learning.
PhD thesis, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.
Proceedings of the 35th International Conference on Machine Learning, 2018

Continuous-Time Flows for Efficient Inference and Density Estimation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Feature Abstraction for Translating Video to Text.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning.
CoRR, 2017

Towards Understanding Adversarial Learning for Joint Distribution Matching.
CoRR, 2017

Compressive Sensing via Convolutional Factor Analysis.
CoRR, 2017

Stein Variational Autoencoder.
CoRR, 2017

Adversarial Symmetric Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

VAE Learning via Stein Variational Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Triangle Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adaptive Feature Abstraction for Translating Video to Language.
Proceedings of the 5th International Conference on Learning Representations, 2017

Convolutional factor analysis inspired compressive sensing.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Adaptive DCTNet for audio signal classification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning Generic Sentence Representations Using Convolutional Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Compositional Networks for Visual Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Deep Overcomplete Tensor Rank-Decompositions.
CoRR, 2016

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks.
CoRR, 2016

Variational Autoencoder for Deep Learning of Images, Labels and Captions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Deep Generative Deconvolutional Image Model.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Generative Model for Deep Convolutional Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
Bayesian Deep Deconvolutional Learning.
CoRR, 2014

2012
Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

Image Change Detection Based on the Minimum Mean Square Error.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012


  Loading...