Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. - Jiawei Li 006; Xingchun Xiang; Tao Dai 001; Shu-Tao Xia (VCIP, 2019)

A Highly Efficient and Robust Method For NNF-Based Template Matching. - Yuhai Lan; Xingchun Xiang; Huaixuan Zhang; Shuhan Qi (ICME Workshops, 2020)

Label Aggregation of Gradient Boosting Decision Trees. - Xingchun Xiang; Huaixuan Zhang; Shu-Tao Xia (IPMV, 2020)

JSRT: James-Stein Regression Tree. - Xingchun Xiang; Qingtao Tang; Huaixuan Zhang; Tao Dai 001; Jiawei Li 006; Shu-Tao Xia (CoRR, 2020)

TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. - Jiawei Li 006; Yiming Li 004; Xingchun Xiang; Shu-Tao Xia; Siyi Dong; Yun Cai (Entropy, 2020)