Donglin Zhan

According to our database, Donglin Zhan authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR.

Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang

CoRR, 2024

2023

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.

Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Discrete Memristor and Discrete Memristive Systems.

Shaobo He, Donglin Zhan, Huihai Wang, Kehui Sun, Yuexi Peng

Entropy, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao

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

2021

Neural Network-Assisted Simulation Optimization with Covariates.

Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng

Proceedings of the Winter Simulation Conference, 2021

2019

Adaptive Transfer Learning of Multi-View Time Series Classification.

Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang

CoRR, 2019

FIS-GAN: GAN with Flow-based Importance Sampling.

Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu

CoRR, 2019

2018

Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN.

Donglin Zhan, Shiyu Yi, Denglin Jiang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018