Yinchuan Li

According to our database, Yinchuan Li authored at least 48 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO.

Yinchuan Li, Yuancheng Zhan, Le Zheng, Xiaodong Wang

IEEE Trans. Commun., 2024

Sparse Federated Learning With Hierarchical Personalization Models.

Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li

IEEE Internet Things J., 2024

Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?

Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen

CoRR, 2024

Teach Large Language Models to Forget Privacy.

Ran Yan, Yujun Li, Wenqian Li, Peihua Mai, Yan Pang, Yinchuan Li

CoRR, 2024

A Theory of Non-acyclic Generative Flow Networks.

Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Theory of Non-Acyclic Generative Flow Networks.

Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma

CoRR, 2023

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.

Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu

CoRR, 2023

Meta Generative Flow Networks with Personalization for Task-Specific Adaptation.

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu

CoRR, 2023

Multi-agent Policy Reciprocity with Theoretical Guarantee.

Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao

CoRR, 2023

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering.

Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li

CoRR, 2023

Generalized Universal Domain Adaptation with Generative Flow Networks.

Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs.

Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Large Sparse Kernels for Federated Learning.

Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

One Important Thing To Do Before Federated Training.

Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Regularized Offline GFlowNets.

Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

CFlowNets: Continuous Control with Generative Flow Networks.

Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GFlowNets with Human Feedback.

Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks.

Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Parametric Translational Compensation for ISAR Imaging Based on Cascaded Subaperture Integration With Application to Asteroid Imaging.

Zegang Ding, Siyuan Liu, Yinchuan Li, Peng-Jie You, Xu Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

GFlowCausal: Generative Flow Networks for Causal Discovery.

Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang

CoRR, 2022

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies.

Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li

CoRR, 2022

Tensor Decomposition based Personalized Federated Learning.

Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li

CoRR, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

CoRR, 2022

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.

Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu

CoRR, 2022

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again.

Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?

Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Avoid Overfitting User Specific Information in Federated Keyword Spotting.

Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan

Proceedings of the Interspeech 2022, 2022

Personalized Federated Learning via Variational Bayesian Inference.

Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao

Proceedings of the International Conference on Machine Learning, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar.

Jeremy Johnston, Yinchuan Li, Marco Lops, Xiaodong Wang

IEEE Trans. Signal Process., 2021

SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network.

Yangkai Wei, Yinchuan Li, Zegang Ding, Yan Wang, Tao Zeng, Teng Long

IEEE Trans. Geosci. Remote. Sens., 2021

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.

Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Structured Directional Pruning via Perturbation Orthogonal Projection.

Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation.

Yinchuan Li, Xiaodong Wang, Robert L. Olesen

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism.

Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Near-Field Phase Cross Correlation Focusing Imaging and Parameter Estimation for Penetrating Radar.

Zegang Ding, Yinchuan Li, Wei Liu, Yin Xiang, Yikun Zhao, Haibo Liu, Tao Zeng, Teng Long

IEEE Trans. Geosci. Remote. Sens., 2020

Multi-Target Position and Velocity Estimation Using OFDM Communication Signals.

Yinchuan Li, Xiaodong Wang, Zegang Ding

IEEE Trans. Commun., 2020

Multi-Angle SAR Sparse Image Reconstruction With Improved Attributed Scattering Model.

Yangkai Wei, Yinchuan Li, Xinliang Chen, Zegang Ding

IEEE Geosci. Remote. Sens. Lett., 2020

Multidimensional Spectral Super-Resolution With Prior Knowledge With Application to High Mobility Channel Estimation.

Yinchuan Li, Xiaodong Wang, Zegang Ding

IEEE J. Sel. Areas Commun., 2020

2019

Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case.

Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang

IEEE Trans. Wirel. Commun., 2019

Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging.

Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Yin Xiang, Xiaopeng Yang

IEEE Trans. Geosci. Remote. Sens., 2019

DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News.

Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu

CoRR, 2019

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction.

Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2019

Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM.

Yinchuan Li, Xiaodong Wang, Zegang Ding

CoRR, 2019

Compressive Multidimensional Harmonic Retrieval with Prior Knowledge.

Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang

CoRR, 2019

Price Prediction of Cryptocurrency: An Empirical Study.

Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li

Proceedings of the Smart Blockchain - Second International Conference, 2019