Changyou Chen
About
In The Last Decade
Changyou Chen
46 papers receiving 668 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 425
- Computer Vision and Pattern Recognition 194
- Computational Mechanics 96
- Biomedical Engineering 79
- Statistics and Probability 78
Countries citing papers authored by Changyou Chen
This map shows the geographic impact of Changyou Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changyou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyou Chen more than expected).
Fields of papers citing papers by Changyou Chen
This network shows the impact of papers produced by Changyou Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changyou Chen. The network helps show where Changyou Chen may publish in the future.
Co-authorship network of co-authors of Changyou Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Changyou Chen. A scholar is included among the top collaborators of Changyou Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changyou Chen. Changyou Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning | 1 |
| 5 | Differentially Private Empirical Risk Minimization with Non-convex Loss Functions | 15 |
| 6 | Certified Adversarial Robustness with Additive Noise | 62 |
| 7 | Learning Saliency Maps for Adversarial Point-Cloud Generation | 5 |
| 8 | Symmetric Variational Autoencoder and Connections to Adversarial Learning | 12 |
| 9 | Second-Order Adversarial Attack and Certifiable Robustness | 13 |
| 10 | Certified Adversarial Robustness with Additive Gaussian Noise | 3 |
| 11 | Learning Structural Weight Uncertainty for Sequential Decision-Making | 4 |
| 12 | Learning Structured Weight Uncertainty in Bayesian Neural Networks | 26 |
| 13 | Nonlinear statistical learning with truncated Gaussian graphical models | 1 |
| 14 | Towards unifying hamiltonian Monte Carlo and Slice sampling | 2 |
| 15 | 19 | |
| 16 | Scalable Deep Poisson Factor Analysis for Topic Modeling | 32 |
| 17 | Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization | 6 |
| 18 | Bayesian Sampling Using Stochastic Gradient Thermostats | 61 |
| 19 | Robust Bayesian Max-Margin Clustering | 8 |
| 20 | A numerical method of solving the point reactor neutron kinetics equations | 3 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.