Online contextual learning with perishable resources allocation. - Xin Pan; Jie Song 002; Jingtong Zhao; Van-Anh Truong (IISE Trans., 2020)

Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features. - Han Wang 028; Jingtong Zhao; Shengkun Wang; Zhiquan He; Xike Ouyang; Ting Gao (BIBM, 2023)

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation. - Yang Chen; Zhenyu Yang; Jingtong Zhao; Justus Adamson; Yang Sheng; Fang-Fang Yin; Chunhao Wang (CoRR, 2023)

EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection. - Wenhao Li; Zhenyu Hou; Shi Chang; Zhenhong Ye; Yihang Bao; Jingtong Zhao; Guan Ning Lin (BIBM, 2024)

Enhancing Product Promotion in Social Networks: Leveraging Adaptive Discount-Offering and the Crowd Effect. - Ziwei Wang; Jie Song 002; Jingtong Zhao (IEEE Trans. Engineering Management, 2024)

Intelligent influencer selection in social networks for product promotions with crowd effect. - Ziwei Wang; Jingtong Zhao; Jie Song 002 (Inf. Sci., 2025)

An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation. - Rihui Zhang; Haiming Zhu; Jingtong Zhao; Lei Zhang; Fang-Fang Yin; Chunhao Wang; Zhenyu Yang (CoRR, 2025)