Jinghui Chen

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Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Lu LinAssistant Professor of Information Science and Technology, Penn State UniversityVerified email at psu.edu
Dongruo ZhouIndiana University BloomingtonVerified email at iu.edu
Yuan CaoThe University of Hong KongVerified email at hku.hk
Pan XuDuke UniversityVerified email at duke.edu
Ting WangStony Brook UniversityVerified email at cs.stonybrook.edu
Fenglong MaPennsylvania State UniversityVerified email at psu.edu
Difan ZouThe University of Hong KongVerified email at cs.hku.hk
Lingxiao WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Saket SatheSenior Applied Scientist, AmazonVerified email at amazon.com
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Dongwon LeeProfessor, The Pennsylvania State UniversityVerified email at psu.edu
Xiao ZhangCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Jinfeng Yi (易津锋)Verified email at jd.com
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Anna C SquicciariniPennsylvania State UniversityVerified email at psu.edu
Amulya YadavAssistant Professor, Penn StateVerified email at psu.edu
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David EvansUniversity of Virginia, Computer ScienceVerified email at virginia.edu
Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverVerified email at tnt.uni-hannover.de

Jinghui Chen

Assistant Professor of Information Sciences and Technology, Penn State University

Verified email at psu.edu - Homepage

Machine Learning Trustworthy Machine Learning Large Language Models


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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	600	2017
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	313	2022
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	229	2018
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	219	2020
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	217	2020
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	208	2020
Rays: A ray searching method for hard-label adversarial attack J Chen, Q Gu Proceedings of the ACM SIGKDD International Conference on Knowledge …, 2020	155	2020
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	124	2020
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	114*	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	101	2022
Communication-Efficient Adaptive Federated Learning Y Wang, L Lin, J Chen Proceedings of the International Conference on Machine Learning (ICML) 162, 2022	92	2022
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	90	2024
Do language models plagiarize? J Lee, T Le, J Chen, D Lee Proceedings of the ACM Web Conference 2023, 3637-3647, 2023	89	2023
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 5173, 2021	88*	2021
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	68	2020
Spectral augmentation for self-supervised learning on graphs L Lin, J Chen, H Wang The Eleventh International Conference on Learning Representations, 2023	51	2023
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	48*	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	41	2016
One-shot Neural Backdoor Erasing via Adversarial Weight Masking S Chai, J Chen Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2022	37	2022
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	33	2022

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