Donglin Zhan

According to our database, Donglin Zhan authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models.

Leonardo F. Toso, Davit Shadunts, Yunyang Lu, Nihal Sharma, Donglin Zhan, Nam H. Nguyen, James Anderson

CoRR, February, 2026

2025

SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations.

Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David D. Yao, Zeyu Zheng

CoRR, November, 2025

Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes.

Haoting Zhang, Donglin Zhan, James Anderson, Rhonda Righter, Zeyu Zheng

INFORMS J. Comput., 2025

Collaborative Bayesian Optimization via Wasserstein Barycenters.

Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.

Donglin Zhan, Leonardo F. Toso, James Anderson

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.

Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.

Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Data-Efficient and Robust Task Selection for Meta-Learning.

Donglin Zhan, James Anderson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data.

Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng

Proceedings of the Conference on Health, 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