Search Results for author: Qing Ye

Found 13 papers, 3 papers with code

DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg

no code implementations6 Apr 2022 Yuhao Zhou, Minjia Shi, Yuxin Tian, Qing Ye, Jiancheng Lv

Federated learning (FL) is identified as a crucial enabler for large-scale distributed machine learning (ML) without the need for local raw dataset sharing, substantially reducing privacy concerns and alleviating the isolated data problem.

Federated Learning

Deep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedback

no code implementations13 Mar 2022 Chaojin Qing, Qing Ye, Bin Cai, Wenhui Liu, Jiafan Wang

In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedback has shown many advantages, while still faces many challenges, such as low accuracy of the downlink CSI recovery and large processing delays.

Fusion Learning for 1-Bit CS-based Superimposed CSI Feedback with Bi-Directional Channel Reciprocity

no code implementations20 Jan 2022 Chaojin Qing, Qing Ye, Wenhui Liu, Jiafan Wang

Due to the discarding of downlink channel state information (CSI) amplitude and the employing of iteration reconstruction algorithms, 1-bit compressed sensing (CS)-based superimposed CSI feedback is challenged by low recovery accuracy and large processing delay.

Label Design-based ELM Network for Timing Synchronization in OFDM Systems with Nonlinear Distortion

no code implementations28 Jul 2021 Chaojin Qing, Shuhai Tang, Chuangui Rao, Qing Ye, Jiafan Wang, Chuan Huang

Due to the nonlinear distortion in Orthogonal frequency division multiplexing (OFDM) systems, the timing synchronization (TS) performance is inevitably degraded at the receiver.

MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price

no code implementations3 May 2021 Qiutong Guo, Shun Lei, Qing Ye, Zhiyang Fang

Bitcoin, one of the major cryptocurrencies, presents great opportunities and challenges with its tremendous potential returns accompanying high risks.

Time Series Time Series Forecasting

Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search

no code implementations3 May 2021 Jindi Lv, Qing Ye, Yanan sun, Juan Zhao, Jiancheng Lv

In this paper, we propose a novel approach, Heart-Darts, to efficiently classify the ECG signals by automatically designing the CNN model with the differentiable architecture search (i. e., Darts, a cell-based neural architecture search method).

Arrhythmia Detection Classification +3

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences

1 code implementation21 Apr 2021 Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv

With pivot module reconstructed the decoder for individual students and leveled learning specialized encoders for groups, personalized DKT was achieved.

Knowledge Tracing online learning

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms

no code implementations22 Dec 2020 Qing Ye, Weijun Xie

We prove that in the proposed framework, when the classification outcomes are known, the resulting problem, termed "unbiased subdata selection," is strongly polynomial-solvable and can be used to enhance the classification fairness by selecting more representative data points.

Classification Fairness +1

HPSGD: Hierarchical Parallel SGD With Stale Gradients Featuring

1 code implementation6 Sep 2020 Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv

While distributed training significantly speeds up the training process of the deep neural network (DNN), the utilization of the cluster is relatively low due to the time-consuming data synchronizing between workers.

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training

1 code implementation23 Jul 2020 Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan sun, Jiancheng Lv

Specifically, the performance of each worker is evaluatedfirst based on the fact in the previous epoch, and then the batch size and datasetpartition are dynamically adjusted in consideration of the current performanceof the worker, thereby improving the utilization of the cluster.

Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

no code implementations18 Jun 2019 Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang

The proposed network, referred to as SRSCN, comprises a shape reconstruction neural network (SRNN) and a spatial constraint network (SCN).

Cardiac Segmentation Multi-Task Learning

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

no code implementations3 Sep 2018 Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger

Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM).

Frame Simultaneous Localization and Mapping

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