Xingchun Xiang

Publication Activity (10 Years)

Years Active: 2019-2020
Publications (10 Years): 5

Top Topics

Convolutional Neural Networks

Learned Knowledge

Gradient Boosting

Top Venues

Publications

Xingchun Xiang, Huaixuan Zhang, Shu-Tao Xia
Label Aggregation of Gradient Boosting Decision Trees. IPMV (2020)
Yuhai Lan, Xingchun Xiang, Huaixuan Zhang, Shuhan Qi
A Highly Efficient and Robust Method For NNF-Based Template Matching. ICME Workshops (2020)
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
JSRT: James-Stein Regression Tree. CoRR (2020)
Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai
TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. Entropy 22 (11) (2020)
Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. VCIP (2019)