Donglin Zhan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Transfer Learning

Policy Gradient

Labeled Examples

Linear Quadratic

Top Venues

Publications

Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR. CoRR (2024)
Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data. CoRR (2024)
Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang
Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. L4DC (2024)
Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM (2024)
Donglin Zhan, James Anderson
Data-Efficient and Robust Task Selection for Meta-Learning. CoRR (2024)
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR (2023)
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR (2022)
Shaobo He, Donglin Zhan, Huihai Wang, Kehui Sun, Yuexi Peng
Discrete Memristor and Discrete Memristive Systems. Entropy 24 (6) (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR (2022)
Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng
Neural Network-Assisted Simulation Optimization with Covariates. WSC (2021)
Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu
FIS-GAN: GAN with Flow-based Importance Sampling. CoRR (2019)
Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang
Adaptive Transfer Learning of Multi-View Time Series Classification. CoRR (2019)
Donglin Zhan, Shiyu Yi, Denglin Jiang
Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. ICDM Workshops (2018)