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Journal Articles
- 2022
[j1]Shaobo He
, Donglin Zhan, Huihai Wang, Kehui Sun, Yuexi Peng:
Discrete Memristor and Discrete Memristive Systems. Entropy 24(6): 786 (2022)
Conference and Workshop Papers
- 2024
- [c9]Donglin Zhan, James Anderson:
Data-Efficient and Robust Task Selection for Meta-Learning. CVPR Workshops 2024: 8056-8065 - [c8]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: 902-915 - [c7]Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson:
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM 2024: 508-516 - 2023
- [c6]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: 24521-24531 - [c5]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 - 2022
- [c4]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: 7972-7982 - [c3]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: 221-238 - 2021
- [c2]Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng:
Neural Network-Assisted Simulation Optimization with Covariates. WSC 2021: 1-12 - 2018
- [c1]Donglin Zhan, Shiyu Yi, Denglin Jiang:
Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. ICDM Workshops 2018: 803-809
Informal and Other Publications
- 2024
- [i6]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 abs/2401.14534 (2024) - [i5]Donglin Zhan, James Anderson:
Data-Efficient and Robust Task Selection for Meta-Learning. CoRR abs/2405.07083 (2024) - [i4]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 abs/2405.16395 (2024) - 2022
- [i3]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 abs/2209.01501 (2022) - 2019
- [i2]Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu:
FIS-GAN: GAN with Flow-based Importance Sampling. CoRR abs/1910.02519 (2019) - [i1]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 abs/1910.07632 (2019)
Coauthor Index
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