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2020 – today
- 2024
[j15]Xiaofeng Liu
, Qing Wang, Yunfeng Shao, Yinchuan Li:
Sparse Federated Learning With Hierarchical Personalization Models. IEEE Internet Things J. 11(5): 8539-8551 (2024)- [j14]Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li:
Meta Generative Flow Networks with personalization for task-specific adaptation. Inf. Sci. 672: 120569 (2024) - [j13]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-agent Continuous Control with Generative Flow Networks. Neural Networks 174: 106243 (2024) - [j12]Yinchuan Li, Yuancheng Zhan, Le Zheng, Xiaodong Wang:
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO. IEEE Trans. Commun. 72(2): 1062-1074 (2024) - [j11]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. 36(11): 6560-6573 (2024) - [j10]Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng:
Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12027-12041 (2024) - [c18]Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma:
A Theory of Non-acyclic Generative Flow Networks. AAAI 2024: 11124-11131 - [i33]Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen:
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? CoRR abs/2402.15414 (2024) - [i32]Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan:
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR abs/2404.09232 (2024) - [i31]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-Agent Continuous Control with Generative Flow Networks. CoRR abs/2408.06920 (2024) - 2023
- [c17]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. ICCV 2023: 6951-6962 - [c16]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR 2023 - [c15]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. Tiny Papers @ ICLR 2023 - [c14]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. ICLR 2023 - [c13]Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. Tiny Papers @ ICLR 2023 - [c12]Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan:
One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR 2023 - [c11]Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR 2023 - [c10]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI 2023: 3939-3947 - [c9]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [i30]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. CoRR abs/2303.02430 (2023) - [i29]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR abs/2303.02448 (2023) - [i28]Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li:
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR abs/2303.04345 (2023) - [i27]Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao:
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR abs/2304.05632 (2023) - [i26]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. CoRR abs/2304.11862 (2023) - [i25]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR abs/2304.11989 (2023) - [i24]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i23]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. CoRR abs/2305.07036 (2023) - [i22]Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li:
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation. CoRR abs/2306.09742 (2023) - [i21]Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu:
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR abs/2306.15955 (2023) - [i20]Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma:
A Theory of Non-Acyclic Generative Flow Networks. CoRR abs/2312.15246 (2023) - 2022
- [j9]Zegang Ding, Siyuan Liu, Yinchuan Li, Peng-Jie You, Xu Zhou:
Parametric Translational Compensation for ISAR Imaging Based on Cascaded Subaperture Integration With Application to Asteroid Imaging. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c8]Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CVPR 2022: 10072-10081 - [c7]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. ICML 2022: 26293-26310 - [c6]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH 2022: 3869-3873 - [c5]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD 2022: 1183-1191 - [c4]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS 2022 - [i19]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu:
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR abs/2203.12285 (2022) - [i18]Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang:
Sparse Federated Learning with Hierarchical Personalization Models. CoRR abs/2203.13517 (2022) - [i17]Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan:
Federated Learning with Position-Aware Neurons. CoRR abs/2203.14666 (2022) - [i16]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. CoRR abs/2206.07977 (2022) - [i15]Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan:
Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR abs/2206.08864 (2022) - [i14]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR abs/2206.11054 (2022) - [i13]Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li:
Tensor Decomposition based Personalized Federated Learning. CoRR abs/2208.12959 (2022) - [i12]Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li:
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR abs/2209.10072 (2022) - [i11]Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan:
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR abs/2210.04427 (2022) - [i10]Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang:
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR abs/2210.08185 (2022) - 2021
- [j8]Yangkai Wei, Yinchuan Li, Zegang Ding, Yan Wang, Tao Zeng, Teng Long:
SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network. IEEE Trans. Geosci. Remote. Sens. 59(12): 10197-10212 (2021) - [j7]Jeremy Johnston, Yinchuan Li, Marco Lops, Xiaodong Wang:
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar. IEEE Trans. Signal Process. 69: 2818-2832 (2021) - [c3]Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao:
Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC 2021: 75-80 - [c2]Yinchuan Li, Xiaodong Wang, Robert L. Olesen:
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. WCNC 2021: 1-6 - [i9]Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng:
Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR abs/2107.05328 (2021) - [i8]Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng:
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR abs/2107.05330 (2021) - 2020
- [j6]Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multidimensional Spectral Super-Resolution With Prior Knowledge With Application to High Mobility Channel Estimation. IEEE J. Sel. Areas Commun. 38(12): 2836-2852 (2020) - [j5]Yangkai Wei, Yinchuan Li, Xinliang Chen, Zegang Ding:
Multi-Angle SAR Sparse Image Reconstruction With Improved Attributed Scattering Model. IEEE Geosci. Remote. Sens. Lett. 17(7): 1188-1192 (2020) - [j4]Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-Target Position and Velocity Estimation Using OFDM Communication Signals. IEEE Trans. Commun. 68(2): 1160-1174 (2020) - [j3]Zegang Ding, Yinchuan Li, Wei Liu, Yin Xiang, Yikun Zhao, Haibo Liu, Tao Zeng, Teng Long:
Near-Field Phase Cross Correlation Focusing Imaging and Parameter Estimation for Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 58(1): 598-611 (2020) - [i7]Yinchuan Li, Xiaodong Wang, Robert L. Olesen:
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. CoRR abs/2012.00563 (2020)
2010 – 2019
- 2019
- [j2]Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Yin Xiang, Xiaopeng Yang:
Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging. IEEE Trans. Geosci. Remote. Sens. 57(9): 6650-6665 (2019) - [j1]Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang:
Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case. IEEE Trans. Wirel. Commun. 18(10): 4831-4845 (2019) - [c1]Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li:
Price Prediction of Cryptocurrency: An Empirical Study. SmartBlock 2019: 130-139 - [i6]Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang:
Interference Removal for Radar/Communication Co-existence: the Random Scattering Case. CoRR abs/1902.03436 (2019) - [i5]Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-target Position and Velocity Estimation Using OFDM Communication Signals. CoRR abs/1902.05654 (2019) - [i4]Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang:
Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. CoRR abs/1904.11404 (2019) - [i3]Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. CoRR abs/1906.00278 (2019) - [i2]Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang:
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR abs/1908.01112 (2019) - [i1]Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu:
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR abs/1912.10806 (2019)
Coauthor Index
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last updated on 2024-11-05 22:02 CET by the dblp team
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