| Correlation networks for extreme multi-label text classification G Xun, K Jha, J Sun, A Zhang KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on …, 2020 | 52 | 2020 |
| Recurrent imputation for multivariate time series with missing values Q Suo, L Yao, G Xun, J Sun, A Zhang 2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019 | 41 | 2019 |
| Malicious attacks against deep reinforcement learning interpretations M Huai, J Sun, R Cai, L Yao, A Zhang KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on …, 2020 | 30 | 2020 |
| GLIMA: Global and local time series imputation with multi-directional attention learning Q Suo, W Zhong, G Xun, J Sun, C Chen, A Zhang 2020 IEEE International Conference on Big Data (Big Data), 798-807, 2020 | 24 | 2020 |
| A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison T Zhang, M Pham, J Sun, G Yan, H Li, Y Sun, MZ Gonzalez, JA Coan NeuroImage 173, 580-591, 2018 | 13 | 2018 |
| Scheduling hyperparameters to improve generalization: From centralized sgd to asynchronous sgd J Sun, Y Yang, G Xun, A Zhang ACM Transactions on Knowledge Discovery from Data 17 (2), 1-37, 2023 | 9 | 2023 |
| A stagewise hyperparameter scheduler to improve generalization J Sun, Y Yang, G Xun, A Zhang KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge …, 2021 | 9 | 2021 |
| Understanding and enhancing robustness of concept-based models S Sinha, M Huai, J Sun, A Zhang AAAI '23: Proceedings of the AAAI Conference on Artificial Intelligence 37 …, 2023 | 8 | 2023 |
| Demystify hyperparameters for stochastic optimization with transferable representations J Sun, M Huai, K Jha, A Zhang KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2022 | 8 | 2022 |
| Solving a Class of Non-Convex Minimax Optimization in Federated Learning X Wu*, J Sun*, Z Hu, A Zhang, H Huang NeurIPS '23: Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 7 | 2023 |
| Federated Conditional Stochastic Optimization X Wu*, J Sun*, Z Hu, J Li, A Zhang, H Huang NeurIPS '23: Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 6 | 2023 |
| Shifting episodic prediction with online cognitive bias modification: A randomized controlled trial JW Eberle, M Boukhechba, J Sun, D Zhang, DH Funk, LE Barnes, ... Clinical Psychological Science 11 (5), 819-840, 2023 | 6 | 2023 |
| Dynamic transfer learning across graphs H Wang, Y Mao, J Sun, S Zhang, Y Fan, D Zhou arXiv preprint arXiv:2305.00664, 2023 | 4 | 2023 |
| Towards Universal Multi-Modal Personalization: A Language Model Empowered Generative Paradigm T Wei, B Jin, R Li, H Zeng, Z Wang, J Sun, Q Yin, H Lu, S Wang, J He, ... ICLR '24: The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| Enhance Diffusion to Improve Robust Generalization J Sun, S Sinha, A Zhang KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 2 | 2023 |
| On the Role of Server Momentum in Federated Learning J Sun, X Wu, H Huang, A Zhang AAAI '24: Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 1 | 2023 |
| Augmenting Knowledge Transfer across Graphs Y Mao, J Sun, D Zhou 2022 IEEE International Conference on Data Mining (ICDM), 1101-1106, 2022 | 1 | 2022 |
| Variable-Specific Recurrent Imputation for Multivariate Time Series with Missing Values Q Suo, L Yao, G Xun, J Sun, A Zhang | | |
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of VirginiaVerified email at virginia.edu
