Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. - Donglin Zhan; Shiyu Yi; Denglin Jiang (ICDM Workshops, 2018)

FIS-GAN: GAN with Flow-based Importance Sampling. - Shiyu Yi; Donglin Zhan; Zhengyang Geng; Wenqing Zhang; Chang Xu (CoRR, 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)

Neural Network-Assisted Simulation Optimization with Covariates. - Haoting Zhang; Jinghai He; Donglin Zhan; Zeyu Zheng (WSC, 2021)

Learning to Learn and Remember Super Long Multi-Domain Task Sequence. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Donglin Zhan; Le Fang; Mingchen Gao (CVPR, 2022)

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Donglin Zhan; Tiehang Duan; Mingchen Gao (ECCV (20), 2022)

Discrete Memristor and Discrete Memristive Systems. - Shaobo He; Donglin Zhan; Huihai Wang; Kehui Sun; Yuexi Peng (Entropy, 2022)

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. - Zhenyi Wang 001; Li Shen 008; Donglin Zhan; Qiuling Suo; Yanjun Zhu; Tiehang Duan; Mingchen Gao (CVPR, 2023)

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. - Zhenyi Wang 001; Li Shen 008; Tongliang Liu; Tiehang Duan; Yanjun Zhu; Donglin Zhan; David S. Doermann; Mingchen Gao (NeurIPS, 2023)

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 (CHIL, 2024)

Data-Efficient and Robust Task Selection for Meta-Learning. - Donglin Zhan; James Anderson 001 (CVPR Workshops, 2024)

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. - Leonardo Felipe Toso; Donglin Zhan; James Anderson 001; Han Wang 016 (L4DC, 2024)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. - Donglin Zhan; Yusheng Dai; Yiwei Dong; Jinghai He; Zhenyi Wang 001; James Anderson 001 (SDM, 2024)

Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes. - Haoting Zhang; Donglin Zhan; James Anderson 001; Rhonda Righter; Zeyu Zheng (INFORMS J. Comput., 2025)

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning. - Donglin Zhan; Leonardo F. Toso; James Anderson 001 (CoRR, 2025)

Collaborative Bayesian Optimization via Wasserstein Barycenters. - Donglin Zhan; Haoting Zhang; Rhonda Righter; Zeyu Zheng; James Anderson 001 (CoRR, 2025)