Search Results - "Zhan, Donglin"

Discrete Memristor and Discrete Memristive Systems by He, Shaobo, Zhan, Donglin, Wang, Huihai, Sun, Kehui, Peng, Yuexi

“…In this paper, we investigate the mathematical models of discrete memristors based on Caputo fractional difference and G-L fractional difference. Specifically,…”
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Dynamics of a fractional-order Colpitts oscillator and its FPGA implementation by Wang, Huihai, Zhan, Donglin, Wu, Xianming, He, Shaobo

“…In this paper, a fractional-order Colpitts oscillator is investigated by employing multi-step fractional differential transform method as well as implemented…”
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A New Tool for Rapid Assessment of Acute Exercise-Induced Fatigue by Lu, Yao, Yuan, Ziyang, Chen, Jiaping, Wang, Zeyi, Liu, Zhandong, Wu, Yanjue, Zhan, Donglin, Zhao, Qingbao, Pei, Mofei, Xie, Minhao

“…There are limited sensitive evaluation methods to distinguish people's symptoms of peripheral fatigue and central fatigue simultaneously. The purpose of this…”
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Neural Network-Assisted Simulation Optimization with Covariates by Zhang, Haoting, He, Jinghai, Zhan, Donglin, Zheng, Zeyu

“…In real-time decision-making problems for complicated stochastic systems, a covariate that reflects the state of the system is observed in real time and a…”
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Learning to Learn and Remember Super Long Multi-Domain Task Sequence by Wang, Zhenyi, Shen, Li, Duan, Tiehang, Zhan, Donglin, Fang, Le, Gao, Mingchen

“…Catastrophic forgetting (CF) frequently occurs when learning with non-stationary data distribution. The CF issue remains nearly unexplored and is more…”
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MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation by Wang, Zhenyi, Shen, Li, Zhan, Donglin, Suo, Qiuling, Zhu, Yanjun, Duan, Tiehang, Gao, Mingchen

“…Continual Learning (CL) has achieved rapid progress in recent years. However, it is still largely unknown how to determine whether a CL model is trustworthy…”
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Data-Efficient and Robust Task Selection for Meta-Learning by Zhan, Donglin, Anderson, James

“…Meta-learning methods typically learn tasks under the assumption that all tasks are equally important. However, this assumption is often not valid. In…”
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Data-Efficient and Robust Task Selection for Meta-Learning by Zhan, Donglin, Anderson, James

“…Meta-learning methods typically learn tasks under the assumption that all tasks are equally important. However, this assumption is often not valid. In…”
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Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR by Toso, Leonardo F, Zhan, Donglin, Anderson, James, Wang, Han

“…We investigate the problem of learning linear quadratic regulators (LQR) in a multi-task, heterogeneous, and model-free setting. We characterize the stability…”
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Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data by Zhang, Haoting, Zhan, Donglin, Lin, Yunduan, He, Jinghai, Zhu, Qing, Shen, Zuo-Jun Max, Zheng, Zeyu

“…In healthcare applications, there is a growing need to develop machine learning models that use data from a single source, such as that from a wrist wearable…”
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Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions by Wang, Zhenyi, Shen, Li, Fang, Le, Suo, Qiuling, Zhan, Donglin, Duan, Tiehang, Gao, Mingchen

“…The paradigm of machine intelligence moves from purely supervised learning to a more practical scenario when many loosely related unlabeled data are available…”
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Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN by Zhan, Donglin, Yi, Shiyu, Jiang, Denglin

“…Neural Networks are one of many data mining analytical tools that can be utilized to make predictions for demographic sequences. In this paper, we presented…”
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Design and Implementation of small monitoring wireless network system based on LoRa by Wang, Jianing, Yi, Shiyu, Zhan, Donglin, Zhang, Weihua

“…In this paper, we focus on the realization of a small environmental monitoring wireless ad hoc network sensor system based on LoRa(Long Range) which provides a…”
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FIS-GAN: GAN with Flow-based Importance Sampling by Yi, Shiyu, Zhan, Donglin, Zhang, Wenqing, Jiang, Denglin, An, Kang, Wang, Hao

“…Generative Adversarial Networks (GAN) training process, in most cases, apply Uniform or Gaussian sampling methods in the latent space, which probably spends…”
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Adaptive Transfer Learning of Multi-View Time Series Classification by Zhan, Donglin, Yi, Shiyu, Xu, Dongli, Yu, Xiao, Jiang, Denglin, Yu, Siqi, Zhang, Haoting, Shangguan, Wenfang, Zhang, Weihua

“…Time Series Classification (TSC) has been an important and challenging task in data mining, especially on multivariate time series and multi-view time series…”
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