Chunyuan Li

According to our database1, Chunyuan Li authored at least 42 papers between 2011 and 2019.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adversarial Learning of a Sampler Based on an Unnormalized Distribution.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Localization of a high-speed train using a speed model based on the gradient descent algorithm.
Future Generation Comp. Syst., 2018

Policy Optimization as Wasserstein Gradient Flows.
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

Adversarial Time-to-Event Modeling.
Proceedings of the 35th International Conference on Machine Learning, 2018

Measuring the Intrinsic Dimension of Objective Landscapes.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Structural Weight Uncertainty for Sequential Decision-Making.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

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

Joint Embedding of Words and Labels for Text Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

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

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

Unsupervised Learning with Truncated Gaussian Graphical Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A spectral graph wavelet approach for nonrigid 3D shape retrieval.
Pattern Recognition Letters, 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

Stochastic Gradient MCMC with Stale Gradients.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 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

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries.
Computer Vision and Image Understanding, 2015

Deep Temporal Sigmoid Belief Networks for Sequence Modeling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Online redundant image elimination and its application to wireless capsule endoscopy.
Signal, Image and Video Processing, 2014

Symmetry discovery and retrieval of nonrigid 3D shapes using geodesic skeleton paths.
Multimedia Tools Appl., 2014

Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval: a comparative survey.
Multimedia Syst., 2014

Persistence-Based Structural Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Automatic Location of Landmarks used in Manual Anthropometry.
Proceedings of the Eurographics Workshop on 3D Object Retrieval, 2014

2013
A multiresolution descriptor for deformable 3D shape retrieval.
The Visual Computer, 2013

Intrinsic spatial pyramid matching for deformable 3D shape retrieval.
IJMIR, 2013

2012
Fast shape retrieval using a graph theoretic approach.
IJMIR, 2012

2011
Research on the Message-Oriented Middleware for Wireless Sensor Networks.
JCP, 2011

Skeleton Path Based Approach for Nonrigid 3D Shape Analysis and Retrieval.
Proceedings of the Combinatorial Image Analysis - 14th International Workshop, 2011

Minimum near-convex decomposition for robust shape representation.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Fast Shape Re-ranking with Neighborhood Induced Similarity Measure.
Proceedings of the Computer Analysis of Images and Patterns, 2011


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