| Anarchic federated learning H Yang, X Zhang, P Khanduri, J Liu International Conference on Machine Learning, 25331-25363, 2022 | 58 | 2022 |
| Byzantine-resilient stochastic gradient descent for distributed learning: A lipschitz-inspired coordinate-wise median approach H Yang, X Zhang, M Fang, J Liu 2019 IEEE 58th Conference on Decision and Control (CDC), 5832-5837, 2019 | 40 | 2019 |
| Compressed distributed gradient descent: Communication-efficient consensus over networks X Zhang, J Liu, Z Zhu, ES Bentley IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2431-2439, 2019 | 35 | 2019 |
| Drug–target interaction prediction by integrating multiview network data X Zhang, L Li, MK Ng, S Zhang Computational biology and chemistry 69, 185-193, 2017 | 31 | 2017 |
| Taming communication and sample complexities in decentralized policy evaluation for cooperative multi-agent reinforcement learning X Zhang, Z Liu, J Liu, Z Zhu, S Lu Advances in Neural Information Processing Systems 34, 18825-18838, 2021 | 24 | 2021 |
| Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach X Zhang, M Fang, J Liu, Z Zhu Proceedings of the Twenty-First International Symposium on Theory …, 2020 | 23 | 2020 |
| Taming convergence for asynchronous stochastic gradient descent with unbounded delay in non-convex learning X Zhang, J Liu, Z Zhu 2020 59th IEEE Conference on Decision and Control (CDC), 3580-3585, 2020 | 20 | 2020 |
| Learning coefficient heterogeneity over networks: A distributed spanning-tree-based fused-lasso regression X Zhang, J Liu, Z Zhu Journal of the American Statistical Association 119 (545), 485-497, 2024 | 17* | 2024 |
| Interact: Achieving low sample and communication complexities in decentralized bilevel learning over networks Z Liu, X Zhang, P Khanduri, S Lu, J Liu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 11 | 2022 |
| GT-STORM: Taming sample, communication, and memory complexities in decentralized non-convex learning X Zhang, J Liu, Z Zhu, ES Bentley Proceedings of the Twenty-second International Symposium on Theory …, 2021 | 10 | 2021 |
| NET-FLEET: Achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data X Zhang, M Fang, Z Liu, H Yang, J Liu, Z Zhu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 8 | 2022 |
| Electricity consumer archetypes study based on functional data analysis and K-means algorithm Z Xin, G Weiguo, SU Yun Power system technology 39 (2), 3153-3162, 2015 | 8* | 2015 |
| SAGDA: Achieving Communication Complexity in Federated Min-Max Learning H Yang, Z Liu, X Zhang, J Liu Advances in Neural Information Processing Systems 35, 7142-7154, 2022 | 7 | 2022 |
| Fast and robust sparsity learning over networks: a decentralized surrogate median regression approach W Liu, X Mao, X Zhang IEEE Transactions on Signal Processing 70, 797-809, 2022 | 7 | 2022 |
| Low sample and communication complexities in decentralized learning: A triple hybrid approach X Zhang, J Liu, Z Zhu, ES Bentley IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 5 | 2021 |
| Communication-efficient network-distributed optimization with differential-coded compressors X Zhang, J Liu, Z Zhu, ES Bentley IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 317-326, 2020 | 5 | 2020 |
| ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models Q Tian, X Zhang, J Zhao Proc. ICML 2023, 2023 | 4 | 2023 |
| Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data X Wang, X Zhang, Z Zhu Technometrics 65 (4), 514-523, 2023 | 2 | 2023 |
| PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities Z Liu, X Zhang, S Lu, J Liu Mobihoc 2023, 2023 | 2 | 2023 |
| Efficient Sparse Least Absolute Deviation Regression with Differential Privacy W Liu, X Mao, X Zhang, X Zhang IEEE Transactions on Information Forensics and Security, 2024 | 1 | 2024 |
Jia (Kevin) LiuAssistant Professor of Electrical and Computer Engineering, The Ohio State UniversityVerified email at ece.osu.edu
