A Real-Time Hand Gesture Recognition Approach Based on Motion Features of Feature Points. - Yingying She; Qian Wang; Yunzhe Jia; Ting Gu; Qun He; Baorong Yang (CSE, 2014)

Accelerating Online CP Decompositions for Higher Order Tensors. - Shuo Zhou 001; Xuan Vinh Nguyen; James Bailey 001; Yunzhe Jia; Ian Davidson (KDD, 2016)

Improving the Quality of Explanations with Local Embedding Perturbations. - Yunzhe Jia; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie; Michael E. Houle (KDD, 2019)

Pattern Aided Explainable Machine Learning. - Yunzhe Jia (2019)

Metric Learning Based Fine-Grained Classification for PolSAR Imagery. - Jun Ni; Yunzhe Jia; Qiang Yin 001; Yongsheng Zhou; Fan Zhang 007 (IGARSS, 2020)

Exploiting patterns to explain individual predictions. - Yunzhe Jia; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie; Xingjun Ma (Knowl. Inf. Syst., 2020)

Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. - Yunzhe Jia; Eibe Frank; Bernhard Pfahringer; Albert Bifet; Nick Jin Sean Lim (ECML/PKDD (2), 2021)

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. - Yaqian Zhang; Bernhard Pfahringer; Eibe Frank; Albert Bifet; Nick Jin Sean Lim; Yunzhe Jia (NeurIPS, 2022)

teex: A toolbox for the evaluation of explanations. - Jesus Antonanzas; Yunzhe Jia; Eibe Frank; Albert Bifet; Bernhard Pfahringer (Neurocomputing, 2023)