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Yinchuan Li
Yinchuan Li
Principal Researcher, Noah's Ark Lab
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
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
722022
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
632019
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
572019
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
382021
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
372019
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
302022
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
28*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
262021
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
262019
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
212023
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
202022
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
CFlowNets: Continuous Control with Generative Flow Networks
Y Li, S Luo, H Wang, J Hao
International Conference on Learning Representations (ICLR) 2023, 2023
132023
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
13*2021
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
122023
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
112020
Price prediction of cryptocurrency: an empirical study
L Yang, XY Liu, X Li, Y Li
Smart Blockchain: Second International Conference, SmartBlock 2019 …, 2019
112019
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
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
102019
Spectrum recovery for clutter removal in penetrating radar imaging
Y Li, X Wang, Z Ding, X Zhang, Y Xiang, X Yang
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6650-6665, 2019
82019
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Articles 1–20