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Jinghui Chen
Jinghui Chen
Assistant Professor of Information Sciences and Technology, Penn State University
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
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
5622017
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
2792022
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
2132018
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, 2020.08. 19.20177493, 2020
2102020
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
2072020
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
1832020
Rays: A ray searching method for hard-label adversarial attack
J Chen, Q Gu
Proceedings of the ACM SIGKDD International Conference on Knowledge …, 2020
1362020
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, 2020.05. 24.20111989, 2020
1212020
Do wider neural networks really help adversarial robustness?
B Wu, J Chen, D Cai, X He, Q Gu
Advances in Neural Information Processing Systems 34, 7054-7067, 2021
106*2021
The united states covid-19 forecast hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific data 9 (1), 462, 2022
922022
Communication-Efficient Adaptive Federated Learning
Y Wang, L Lin, J Chen
Proceedings of the International Conference on Machine Learning (ICML) 162, 2022
642022
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
632020
Do language models plagiarize?
J Lee, T Le, J Chen, D Lee
Proceedings of the ACM Web Conference 2023, 3637-3647, 2023
602023
Defending against alignment-breaking attacks via robustly aligned llm
B Cao, Y Cao, L Lin, J Chen
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
502024
Multiple models for outbreak decision support in the face of uncertainty
K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, SL Li, ...
Proceedings of the National Academy of Sciences 120 (18), e2207537120, 2023
45*2023
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
392016
Spectral augmentation for self-supervised learning on graphs
L Lin, J Chen, H Wang
The Eleventh International Conference on Learning Representations, 2023
342023
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
312022
Fast newton hard thresholding pursuit for sparsity constrained nonconvex optimization
J Chen, Q Gu
Proceedings of ACM SIGKDD International Conference on Knowledge Discovery …, 2017
252017
Robust wirtinger flow for phase retrieval with arbitrary corruption
J Chen, L Wang, X Zhang, Q Gu
arXiv preprint arXiv:1704.06256, 2017
242017
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Articles 1–20