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Jinghui Chen
Jinghui Chen
Assistant Professor of Information Sciences and Technology, Penn State University
Geverifieerd e-mailadres voor psu.edu - Homepage
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Outlier detection with autoencoder ensembles
J Chen, S Sathe, C Aggarwal, D Turaga
Proceedings of the SIAM International Conference on Data Mining (SDM), 90-98, 2017
3392017
Global convergence of Langevin dynamics based algorithms for nonconvex optimization
P Xu, J Chen, D Zou, Q Gu
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
1242018
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
Proceedings of the International Joint Conference on Artificial Intelligence …, 2020
1122020
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
1032020
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
1002020
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
732020
Rays: A ray searching method for hard-label adversarial attack
J Chen, Q Gu
Proceedings of the ACM SIGKDD International Conference on Knowledge …, 2020
462020
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
452022
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 (AAAI) 34 (04 …, 2020
402020
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization.
J Chen, Q Gu
Proceedings of the International Conference on Uncertainty in Artificial …, 2016
312016
Do Wider Neural Networks Really Help Adversarial Robustness?
B Wu, J Chen, D Cai, X He, Q Gu
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2021
24*2021
Robust wirtinger flow for phase retrieval with arbitrary corruption
J Chen, L Wang, X Zhang, Q Gu
arXiv preprint arXiv:1704.06256, 2017
212017
Fast newton hard thresholding pursuit for sparsity constrained nonconvex optimization
J Chen, Q Gu
Proceedings of ACM SIGKDD International Conference on Knowledge Discovery …, 2017
182017
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
162020
Covariate adjusted precision matrix estimation via nonconvex optimization
J Chen, P Xu, L Wang, J Ma, Q Gu
Proceedings of the International Conference on Machine Learning (ICML), 922-931, 2018
102018
Understanding the intrinsic robustness of image distributions using conditional generative models
X Zhang, J Chen, Q Gu, D Evans
Proceedings of the International Conference on Artificial Intelligence and …, 2020
92020
Efficient robust training via backward smoothing
J Chen, Y Cheng, Z Gan, Q Gu, J Liu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
52022
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers
F Baumann, J Chen, K Vogt, B Rosenhahn
Proceedings of the Canadian Conference on Computer and Robot Vision (CRV …, 2015
22015
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
Y Wang, L Lin, J Chen
Proceedings of the International Conference on Artificial Intelligence and …, 2022
12022
Benign Overfitting in Adversarially Robust Linear Classification
J Chen, Y Cao, Q Gu
arXiv preprint arXiv:2112.15250, 2021
12021
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Artikelen 1–20