Chenyang Tao
Chenyang Tao
Senior Research Associate, Duke University (Statistics and ECE)
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Adversarial text generation via feature-mover's distance
L Chen, S Dai, C Tao, D Shen, Z Gan, H Zhang, Y Zhang, L Carin
arXiv preprint arXiv:1809.06297, 2018
852018
Oxytocin receptor genotype modulates ventral striatal activity to social cues and response to stressful life events
E Loth, JB Poline, B Thyreau, T Jia, C Tao, A Lourdusamy, D Stacey, ...
Biological psychiatry 76 (5), 367-376, 2014
672014
Single nucleotide polymorphism in the neuroplastin locus associates with cortical thickness and intellectual ability in adolescents
S Desrivičres, A Lourdusamy, C Tao, R Toro, T Jia, E Loth, LM Medina, ...
Molecular psychiatry 20 (2), 263-274, 2015
662015
Adversarial time-to-event modeling
P Chapfuwa, C Tao, C Li, C Page, B Goldstein, LC Duke, R Henao
International Conference on Machine Learning, 735-744, 2018
502018
Rsu1 regulates ethanol consumption in Drosophila and humans
SA Ojelade, T Jia, AR Rodan, T Chenyang, JL Kadrmas, A Cattrell, ...
Proceedings of the National Academy of Sciences 112 (30), E4085-E4093, 2015
462015
Neural basis of reward anticipation and its genetic determinants
T Jia, C Macare, S Desrivičres, DA Gonzalez, C Tao, X Ji, B Ruggeri, ...
Proceedings of the National Academy of Sciences 113 (14), 3879-3884, 2016
402016
Improving sequence-to-sequence learning via optimal transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
arXiv preprint arXiv:1901.06283, 2019
382019
Chi-square generative adversarial network
C Tao, L Chen, R Henao, J Feng, LC Duke
International conference on machine learning, 4887-4896, 2018
282018
Variational inference and model selection with generalized evidence bounds
L Chen, C Tao, R Zhang, R Henao, LC Duke
International conference on machine learning, 893-902, 2018
252018
Detection of time delays and directional interactions based on time series from complex dynamical systems
H Ma, S Leng, C Tao, X Ying, J Kurths, YC Lai, W Lin
Physical Review E 96 (1), 012221, 2017
222017
Improving textual network embedding with global attention via optimal transport
L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ...
arXiv preprint arXiv:1906.01840, 2019
152019
Improving textual network learning with variational homophilic embeddings
W Wang, C Tao, Z Gan, G Wang, L Chen, X Zhang, R Zhang, Q Yang, ...
arXiv preprint arXiv:1909.13456, 2019
112019
Simulation of E. coli gene regulation including overlapping cell cycles, growth, division, time delays and noise
R Luo, L Ye, C Tao, K Wang
Plos one 8 (4), e62380, 2013
102013
On fenchel mini-max learning
C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ...
92019
Variational annealing of GANs: A Langevin perspective
C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ...
International conference on machine learning, 6176-6185, 2019
82019
Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies
C Tao, J Feng
Journal of neuroscience methods 262, 110-132, 2016
62016
Counterfactual representation learning with balancing weights
S Assaad, S Zeng, C Tao, S Datta, N Mehta, R Henao, F Li, LC Duke
International Conference on Artificial Intelligence and Statistics, 1972-1980, 2021
52021
APo-VAE: Text generation in hyperbolic space
S Dai, Z Gan, Y Cheng, C Tao, L Carin, J Liu
arXiv preprint arXiv:2005.00054, 2020
52020
Sequence generation with optimal-transport-enhanced reinforcement learning
L Chen, K Bai, C Tao, Y Zhang, G Wang, W Wang, R Henao, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7512-7520, 2020
52020
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications
C Tao, TE Nichols, X Hua, CRK Ching, ET Rolls, PM Thompson, J Feng, ...
NeuroImage 144, 35-57, 2017
52017
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Articles 1–20