| Constrained factor models for high-dimensional matrix-variate time series E Chen, RS Tsay, R Chen Journal of the American Statistical Association, 2019 | 107 | 2019 |
| Statistical inference for high-dimensional matrix-variate factor models E Chen, J Fan Journal of the American Statistical Association 118 (542), 1038-1055, 2023 | 85 | 2023 |
| On projection robust optimal transport: Sample complexity and model misspecification T Lin, Z Zheng, E Chen, M Cuturi, MI Jordan AISTATS, 2021, 262-270, 2021 | 68 | 2021 |
| Modeling dynamic transport network with matrix factor models: with an application to international trade flow E Chen, R Chen Journal of Data Science, 2022 | 48 | 2022 |
| Semi-parametric tensor factor analysis by iteratively projected singular value decomposition E Chen, D Xia, C Cai, J Fan Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 40 | 2024 |
| Community network auto-regression for high-dimensional time series E Chen, J Fan, X Zhu Journal of Econometrics 235 (2), 1239-1256, 2023 | 40 | 2023 |
| Identification and estimation of threshold matrix‐variate factor models X Liu, E Chen Scandinavian Journal of Statistics, 2022 | 24* | 2022 |
| Tensor-view Topological Graph Neural Network T Wen, E Chen, Y Chen AISTATS, 2024, València SPAIN, 2024 | 15 | 2024 |
| Reinforcement Learning in Latent Heterogeneous Environments E Chen, R Song, MI Jordan Journal of the American Statistical Association, 1-32, 2024 | 15* | 2024 |
| Modeling Multivariate Spatial-Temporal Data with Latent Low-Dimensional Dynamics E Chen, X Yun, R Chen, Q Yao arXiv preprint arXiv:2002.01305, 2020 | 12* | 2020 |
| Transfer Q-learning E Chen, S Li, MI Jordan arXiv preprint arXiv:2202.04709, 2022 | 10* | 2022 |
| Time-varying Matrix Factor Models B Chen, E Chen, S Bolivar, R Chen arXiv preprint arXiv.2404.01546, 2024 | 8 | 2024 |
| Distributed Tensor Principal Component Analysis with Data Heterogneity E Chen, X Chen, W Jing, Y Zhang arXiv preprint arXiv:2405.11681, 2024 | 6 | 2024 |
| MEV Makes Everyone Happy under Greedy Sequencing Rule Y Li, M Zhang, J Li, E Chen, X Chen, X Deng Proceedings of the 2023 Workshop on Decentralized Finance and Security, 9-15, 2023 | 6 | 2023 |
| High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure E Chen, Y Han, J Li arXiv preprint arXiv:2409.14397, 2024 | 5 | 2024 |
| Factor Augmented Matrix Regression E Chen, J Fan, X Zhu arXiv preprint arXiv:2405.17744, 2024 | 5 | 2024 |
| Deep Transfer -Learning for Offline Non-Stationary Reinforcement Learning J Chai, E Chen, J Fan arXiv preprint arXiv:2501.04870, 2025 | 4 | 2025 |
| Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models E Chen, X Chen, L Gao, J Li arXiv preprint arXiv:2405.06866, 2024 | 4 | 2024 |
| Data-Driven Knowledge Transfer in Batch Learning E Chen, X Chen, W Jing arXiv preprint arXiv:2404.15209, 2024, 2024 | 4 | 2024 |
| Computation of optimal mev in decentralized exchanges M Zhang, Y Li, X Sun, E Chen, X Chen Technical report, Working paper-https://mengqian-zhang. github. io/papers …, 2024 | 3 | 2024 |
Rong ChenRong Chen, Professor of Statistics, Rutgers UniversityVerified email at stat.rutgers.edu
