Donglin Zhan

24 papers A* 3A 1Misc 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models.
CoRR
Leonardo F. Toso, Davit Shadunts, Yunyang Lu, Nihal Sharma, Donglin Zhan, Nam H. Nguyen, James Anderson
2025 J jnl
Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes.
INFORMS J. Comput.
Haoting Zhang, Donglin Zhan, James Anderson, Rhonda Righter, Zeyu Zheng
2025 — conf
Collaborative Bayesian Optimization via Wasserstein Barycenters.
CDC
Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025 J jnl
Collaborative Bayesian Optimization via Wasserstein Barycenters.
CoRR
Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025 — conf
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.
CDC
Donglin Zhan, Leonardo F. Toso, James Anderson
2025 J jnl
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.
CoRR
Donglin Zhan, Leonardo F. Toso, James Anderson
2025 J jnl
SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations.
CoRR
Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David D. Yao, Zeyu Zheng
2024 J jnl
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data.
CoRR
Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
2024 — conf
Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data.
CHIL
Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng
2024 — conf
Data-Efficient and Robust Task Selection for Meta-Learning.
CVPR Workshops
Donglin Zhan, James Anderson
2024 J jnl
Data-Efficient and Robust Task Selection for Meta-Learning.
CoRR
Donglin Zhan, James Anderson
2024 A conf
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.
SDM
Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
2024 J jnl
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR.
CoRR
Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
2024 — conf
Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.
L4DC
Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang
2023 A* conf
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.
NeurIPS
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
2023 A* conf
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.
CVPR
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2022 J jnl
Discrete Memristor and Discrete Memristive Systems.
Entropy
Shaobo He, Donglin Zhan, Huihai Wang, Kehui Sun, Yuexi Peng
2022 A* conf
Learning to Learn and Remember Super Long Multi-Domain Task Sequence.
CVPR
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
2022 — conf
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
ECCV (20)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022 J jnl
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
CoRR
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2021 Misc conf
Neural Network-Assisted Simulation Optimization with Covariates.
WSC
Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng
2019 J jnl
Adaptive Transfer Learning of Multi-View Time Series Classification.
CoRR
Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang
2019 J jnl
FIS-GAN: GAN with Flow-based Importance Sampling.
CoRR
Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu
2018 — conf
Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN.
ICDM Workshops
Donglin Zhan, Shiyu Yi, Denglin Jiang