Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. - Jueqing Lu; Lan Du 002; Ming Liu 028; Joanna Dipnall (EMNLP (1), 2020)

Navigating Conflicting Views: Harnessing Trust for Learning. - Jueqing Lu; Lan Du 002; Wray L. Buntine; Myong Chol Jung; Joanna Dipnall; Belinda Gabbe (CoRR, 2024)

Neural Topic Modeling with Large Language Models in the Loop. - Xiaohao Yang; He Zhao 001; Weijie Xu; Yuanyuan Qi; Jueqing Lu; Dinh Phung 001; Lan Du 002 (ACL (1), 2025)

CGMatch: A Different Perspective of Semi-supervised Learning. - Bo Cheng; Jueqing Lu; Yuan Tian 016; Haifeng Zhao; Yi Chang 001; Lan Du 002 (CVPR, 2025)

Multi-Label Bayesian Active Learning with Inter-Label Relationships. - Yuanyuan Qi; Jueqing Lu; Xiaohao Yang; Joanne Enticott; Lan Du 002 (UAI, 2025)

Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities. - Jueqing Lu; Yuanyuan Qi; Xiaohao Yang; Shujie Zhou; Lan Du 002 (CoRR, 2025)