Jinghui Chen
Title
Cited by
Cited by
Year
Outlier detection with autoencoder ensembles
J Chen, S Sathe, C Aggarwal, D Turaga
Proceedings of the 2017 SIAM international conference on data mining, 90-98, 2017
2652017
Global convergence of Langevin dynamics based algorithms for nonconvex optimization
P Xu, J Chen, D Zou, Q Gu
arXiv preprint arXiv:1707.06618, 2017
1102017
Closing the generalization gap of adaptive gradient methods in training deep neural networks
J Chen, D Zhou, Y Tang, Z Yang, Y Cao, Q Gu
arXiv preprint arXiv:1806.06763, 2018
912018
On the convergence of adaptive gradient methods for nonconvex optimization
D Zhou, J Chen, Y Cao, Yuan, Tang, Z Yang, Q Gu
arXiv preprint arXiv:1808.05671, 2020
802020
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020
722020
Epidemic model guided machine learning for COVID-19 forecasts in the United States
D Zou, L Wang, P Xu, J Chen, W Zhang, Q Gu
medRxiv, 2020
512020
A Frank-Wolfe framework for efficient and effective adversarial attacks
J Chen, D Zhou, J Yi, Q Gu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3486-3494, 2020
352020
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization.
J Chen, Q Gu
UAI, 2016
302016
Rays: A ray searching method for hard-label adversarial attack
J Chen, Q Gu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
272020
Robust wirtinger flow for phase retrieval with arbitrary corruption
J Chen, L Wang, X Zhang, Q Gu
arXiv preprint arXiv:1704.06256, 2017
192017
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, VK Lopez, J Niemi, GE George, JC Cegan, ID Dettwiller, ...
medRxiv, 2021
182021
Fast newton hard thresholding pursuit for sparsity constrained nonconvex optimization
J Chen, Q Gu
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
162017
Do Wider Neural Networks Really Help Adversarial Robustness?
B Wu, J Chen, D Cai, X He, Q Gu
arXiv preprint arXiv:2010.01279, 2020
13*2020
COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support
K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ...
medRxiv, 2020
82020
Covariate adjusted precision matrix estimation via nonconvex optimization
J Chen, P Xu, L Wang, J Ma, Q Gu
International Conference on Machine Learning, 922-931, 2018
72018
Efficient robust training via backward smoothing
J Chen, Y Cheng, Z Gan, Q Gu, J Liu
arXiv preprint arXiv:2010.01278, 2020
62020
Understanding the intrinsic robustness of image distributions using conditional generative models
X Zhang, J Chen, Q Gu, D Evans
International Conference on Artificial Intelligence and Statistics, 3883-3893, 2020
62020
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers
F Baumann, J Chen, K Vogt, B Rosenhahn
2015 12th Conference on Computer and Robot Vision, 155-160, 2015
22015
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Articles 1–18