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Cross-Validated Tuning of Shrinkage Factors for MVDR Beamforming Based on Regularized Covariance Matrix Estimation


Apr 05, 2021
Lei Xie, Zishu He, Jun Tong, Jun Li, Jiangtao Xi

* To be submitted to the IEEE or Elsevier for possible publication 

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Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges


Apr 05, 2021
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

* Accepted at the IEEE Internet of Things Journal, 19 pages 

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Potential Convolution: Embedding Point Clouds into Potential Fields


Apr 05, 2021
Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu


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Regularized Estimation of Kronecker-Structured Covariance Matrix


Mar 25, 2021
Lei Xie, Zishu He, Jun Tong, Tianle Liu, Jun Li, Jiangtao Xi

* To be submitted to the IEEE or Elsevier for possible publication 

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A novel multimodal fusion network based on a joint coding model for lane line segmentation


Mar 20, 2021
Zhenhong Zou, Xinyu Zhang, Huaping Liu, Zhiwei Li, Amir Hussain, Jun Li


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Regularized Estimation of Kronecker-Structured Covariance Matrix With Applications to Polarization Space-Time Adaptive Processing


Mar 17, 2021
Lei Xie, Zishu He, Jun Tong, Tianle Liu, Jun Li, Jiangtao Xi

* To be submitted to the IEEE for possible publication 

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S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection


Mar 15, 2021
Li Wang, Chenfei Wang, Xinyu Zhang, Tianwei Lan, Jun Li


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Multi-Pretext Attention Network for Few-shot Learning with Self-supervision


Mar 10, 2021
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu


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Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy


Feb 03, 2021
James Mou, Jun Li

* 8 pages, 9 figures, 3 tables, to be published in the Proc. of the 19th IEEE International Conference on Machine Learning and Applications, Page 971-978, 2020. DOI 10.1109/ICMLA51294.2020.00158. \c{opyright} 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising purposes 

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Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization


Jan 28, 2021
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor


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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation


Jan 18, 2021
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor


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Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models


Dec 16, 2020
Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou


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Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients


Dec 02, 2020
Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor


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Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection


Nov 25, 2020
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang


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Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net


Oct 14, 2020
Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi


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Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected ψ-Net


Oct 12, 2020
Zhiyang Lu, Jun Li, Hongjian He, Jun Shi


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A Short Review on Data Modelling for Vector Fields


Sep 01, 2020
Jun Li, Wanrong Hong, Yusheng Xiang

* 18 pages, 0 figures 

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Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon


Aug 26, 2020
Teng Liu, Hong Wang, Bing Lu, Jun Li, Dongpu Cao

* 9 pages, 10 figures 

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LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark


Aug 03, 2020
Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng

* accepted by ACM Mutlimedia Conference, 2020 

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Learning Semantically Enhanced Feature for Fine-Grained Image Classification


Jul 05, 2020
Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei

* 4 pages, 4 figures 

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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network


Jul 04, 2020
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor


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Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection


Jun 08, 2020
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

* 14 pages, 14 figures 

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DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length


Apr 11, 2020
Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai


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Learnable Subspace Clustering


Apr 09, 2020
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

* IEEE Transactions on Neural Networks and Learning Systems (accepted with minor revision) 

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G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes


Mar 23, 2020
Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed Ghalwash, Li-wei H. Lehman


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Gradient Estimation for Federated Learning over Massive MIMO Communication Systems


Mar 18, 2020
Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li, H. Vincent Poor


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Performance Analysis and Optimization in Privacy-Preserving Federated Learning


Feb 29, 2020
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor


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Set-Constrained Viterbi for Set-Supervised Action Segmentation


Feb 27, 2020
Jun Li, Sinisa Todorovic

* Preprint 

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Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning


Feb 22, 2020
Jun Li, Zhichao Xing, Weibin Zhang, Yan Lin, Feng Shu


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