| Personalized federated learning via variational bayesian inference X Zhang, Y Li, W Li, K Guo, Y Shao International Conference on Machine Learning, 26293-26310, 2022 | 64 | 2022 |
| DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News X Li, Y Li, H Yang, L Yang, XY Liu NeurIPS 2019 Workshop on Robust AI in Financial Services, 2019 | 61 | 2019 |
| Multi-target position and velocity estimation using OFDM communication signals Y Li, X Wang, Z Ding IEEE Transactions on Communications 68 (2), 1160-1174, 2019 | 52 | 2019 |
| SAR parametric super-resolution image reconstruction methods based on ADMM and deep neural network Y Wei, Y Li, Z Ding, Y Wang, T Zeng, T Long IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10197-10212, 2021 | 38 | 2021 |
| Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation X Li, Y Li, Y Zhan, XY Liu Proceedings of the 36th International Conference on Machine Learning, 2019 | 36 | 2019 |
| Towards effective clustered federated learning: A peer-to-peer framework with adaptive neighbor matching Z Li, J Lu, S Luo, D Zhu, Y Shao, Y Li, Z Zhang, Y Wang, C Wu IEEE Transactions on Big Data, 2022 | 26* | 2022 |
| ADMM-Net for communication interference removal in stepped-frequency radar J Johnston, Y Li, M Lops, X Wang IEEE Transactions on Signal Processing 69, 2818-2832, 2021 | 26 | 2021 |
| Interference removal for radar/communication co-existence: The random scattering case Y Li, L Zheng, M Lops, X Wang IEEE Transactions on Wireless Communications 18 (10), 4831-4845, 2019 | 26 | 2019 |
| Federated learning with position-aware neurons XC Li, YC Xu, S Song, B Li, Y Li, Y Shao, DC Zhan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks W Li, Y Li, Z Li, J Hao, Y Pang International Conference on Learning Representations (ICLR) 2023, 2023 | 18 | 2023 |
| Multidimensional spectral super-resolution with prior knowledge with application to high mobility channel estimation Y Li, X Wang, Z Ding IEEE Journal on Selected Areas in Communications 38 (12), 2836-2852, 2020 | 17* | 2020 |
| Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again XC Li, WS Fan, S Song, Y Li, B Li, Y Shao, DC Zhan NeurIPS 2022, 2022 | 14 | 2022 |
| CFlowNets: Continuous Control with Generative Flow Networks Y Li, S Luo, H Wang, J Hao International Conference on Learning Representations (ICLR) 2023, 2023 | 13 | 2023 |
| Parametric translational compensation for ISAR imaging based on cascaded subaperture integration with application to asteroid imaging Z Ding, S Liu, Y Li, P You, X Zhou IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2020 | 11 | 2020 |
| Price prediction of cryptocurrency: an empirical study L Yang, XY Liu, X Li, Y Li Smart Blockchain: Second International Conference, SmartBlock 2019 …, 2019 | 11 | 2019 |
| Universal Domain Adaptation via Compressive Attention Matching D Zhu, Y Li, J Yuan, Z Li, K Kuang, C Wu International Conference on Computer Vision (ICCV 2023), 2023 | 10 | 2023 |
| Risk management via anomaly circumvent: Mnemonic deep learning for midterm stock prediction X Li, Y Li, XY Liu, CD Wang 2nd KDD Workshop on Anomaly Detection in Finance, 2019 | 10 | 2019 |
| Sparse personalized federated learning X Liu, Y Li, Q Wang, X Zhang, Y Shao, Y Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 9* | 2023 |
| Communication reducing quantization for federated learning with local differential privacy mechanism H Zong, Q Wang, X Liu, Y Li, Y Shao 2021 IEEE/CIC International Conference on Communications in China (ICCC), 75-80, 2021 | 9 | 2021 |
| Near-field phase cross correlation focusing imaging and parameter estimation for penetrating radar Z Ding, Y Li, W Liu, Y Xiang, Y Zhao, H Liu, T Zeng, T Long IEEE Transactions on Geoscience and Remote Sensing 58 (1), 598-611, 2019 | 7 | 2019 |
Xu ZhangAssistant Professor, Xidian UniversityVerified email at xidian.edu.cn
