Yinchuan Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 64

Top Topics

Channel Estimation

Orthogonal Projection

Image Reconstruction

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Tiny Papers @ ICLR

IEEE Trans. Commun.

Publications

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 (2024)
Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? CoRR (2024)
Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
Multi-agent Continuous Control with Generative Flow Networks. Neural Networks 174 (2024)
Ran Yan, Yujun Li, Wenqian Li, Peihua Mai, Yan Pang, Yinchuan Li
Teach Large Language Models to Forget Privacy. CoRR (2024)
Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma
A Theory of Non-acyclic Generative Flow Networks. AAAI (2024)
Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li
Sparse Federated Learning With Hierarchical Personalization Models. IEEE Internet Things J. 11 (5) (2024)
Yinchuan Li, Yuancheng Zhan, Le Zheng, Xiaodong Wang
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO. IEEE Trans. Commun. 72 (2) (2024)
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 (2024)
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR (2023)
Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR (2023)
Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR (2023)
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR (2023)
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)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. ICCV (2023)
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
GFlowNets with Human Feedback. CoRR (2023)
Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma
A Theory of Non-Acyclic Generative Flow Networks. CoRR (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. CoRR (2023)
Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation. CoRR (2023)
Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li
Regularized Offline GFlowNets. Tiny Papers @ ICLR (2023)
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
CFlowNets: Continuous Control with Generative Flow Networks. ICLR (2023)
Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR (2023)
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 (2023)
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR (2023)
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)
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
CFlowNets: Continuous Control with Generative Flow Networks. CoRR (2023)
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 (2023)
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)
Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
GFlowNets with Human Feedback. Tiny Papers @ ICLR (2023)
Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
Personalized Federated Learning via Variational Bayesian Inference. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CVPR (2022)
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)
Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS (2022)
Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR (2022)
Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang
Sparse Federated Learning with Hierarchical Personalization Models. CoRR (2022)
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)
Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
Personalized Federated Learning via Variational Bayesian Inference. ICML (2022)
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 (2022)
Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
Tensor Decomposition based Personalized Federated Learning. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CoRR (2022)
Yinchuan Li, Xiaodong Wang, Robert L. Olesen
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. WCNC (2021)
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) (2021)
Jeremy Johnston, Yinchuan Li, Marco Lops, Xiaodong Wang
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar. IEEE Trans. Signal Process. 69 (2021)
Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR (2021)
Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao
Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC (2021)
Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng
Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR (2021)
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) (2020)
Yinchuan Li, Xiaodong Wang, Robert L. Olesen
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. CoRR (2020)
Yinchuan Li, Xiaodong Wang, Zegang Ding
Multi-Target Position and Velocity Estimation Using OFDM Communication Signals. IEEE Trans. Commun. 68 (2) (2020)
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) (2020)
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) (2020)
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) (2019)
Yinchuan Li, Xiaodong Wang, Zegang Ding
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. CoRR (2019)
Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang
Interference Removal for Radar/Communication Co-existence: the Random Scattering Case. CoRR (2019)
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) (2019)
Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR (2019)
Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li
Price Prediction of Cryptocurrency: An Empirical Study. SmartBlock (2019)
Yinchuan Li, Xiaodong Wang, Zegang Ding
Multi-target Position and Velocity Estimation Using OFDM Communication Signals. CoRR (2019)
Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang
Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. CoRR (2019)
Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR (2019)