Multi-Task Personalized Learning with Sparse Network Lasso. - Jiankun Wang 002; Lu Sun 001 (IJCAI, 2022)

Grouped Multi-Task Learning with Hidden Tasks Enhancement. - Jiachun Jin; Jiankun Wang 002; Lu Sun 001; Jie Zheng; Mineichi Kudo (ECAI, 2023)

Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. - Weijia Lin; Jiankun Wang 002; Lu Sun 001; Mineichi Kudo; Keigo Kimura (ICDM, 2023)

Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. - Xiaodan Zhang; Sandeep Vemulapalli; Nabasmita Talukdar; Sumyeong Ahn; Jiankun Wang 002; Han Meng; Sardar Mehtab Bin Murtaza; Aakash Ajay Dave; Dmitry Leshchiner; Dimitri F. Joseph; Martin Witteveen-Lane; Dave Chesla; et al. (CoRR, 2023)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. - Jiankun Wang 002; Sumyeong Ahn; Taykhoom Dalal; Xiaodan Zhang; Weishen Pan; Qiannan Zhang; Bin Chen; Hiroko H. Dodge; Fei Wang; Jiayu Zhou (CoRR, 2024)

Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters. - Luhuan Fei; Xinyi Wang; Jiankun Wang 002; Lu Sun 001; Yuyao Zhang (Neurocomputing, 2025)

Multi-level network Lasso for multi-task personalized learning. - Jiankun Wang 002; Luhuan Fei; Lu Sun 001 (Pattern Recognit., 2025)

Multi-view multi-label personalized classification via generalized exclusive sparse tensor factorization. - Luhuan Fei; Weijia Lin; Jiankun Wang 002; Lu Sun 001; Mineichi Kudo; Keigo Kimura (Knowl. Inf. Syst., 2025)