Gait Recognition Using Flow Histogram Energy Image. - Yazhou Yang; Dan Tu; Guohui Li (ICPR, 2014)

An empirical investigation into the inconsistency of sequential active learning. - Marco Loog; Yazhou Yang (ICPR, 2016)

Active learning using uncertainty information. - Yazhou Yang; Marco Loog (ICPR, 2016)

A variance maximization criterion for active learning. - Yazhou Yang; Marco Loog (Pattern Recognit., 2018)

A benchmark and comparison of active learning for logistic regression. - Yazhou Yang; Marco Loog (Pattern Recognit., 2018)

Towards Practical Active Learning for Classification. - Yazhou Yang (2018)

Single shot active learning using pseudo annotators. - Yazhou Yang; Marco Loog (Pattern Recognit., 2019)

Estimation of Noise in the In Situ Hyperspectral Data Acquired by Chang'E-4 and Its Effects on Spectral Analysis of Regolith. - Honglei Lin; Yangting Lin; Yong Wei; Rui Xu 020; Yang Liu; Yazhou Yang; Sen Hu; Wei Yang 060; Zhiping He (Remote. Sens., 2020)

Batch Mode Active Learning Based on Multi-Set Clustering. - Yazhou Yang; Xiaoqing Yin; Yang Zhao 015; Jun Lei 001; Weili Li; Zhe Shu (IEEE Access, 2021)

Research on Data Transmission System of Aircraft Structural Strength Test based on Genetic Algorithm. - Yong Yang; Yazhou Yang (IPEC, 2022)

To Actively Initialize Active Learning. - Yazhou Yang; Marco Loog (Pattern Recognit., 2022)

A unified deep sparse graph attention network for scene graph generation. - Hao Zhou 029; Yazhou Yang; Tingjin Luo; Jun Zhang 067; Shuohao Li (Pattern Recognit., 2022)

In-Flight Calibration of Visible and Near-Infrared Imaging Spectrometer (VNIS) Onboard Chang'E-4 Unmanned Lunar Rover. - Rui Xu 020; Honglei Lin; Meizhu Wang; Bin Liu; Wei Yan; Chengyu Liu; Gang Lv; Liyin Yuan; Chunlai Li; Rong Wang; Dawei Liu; Yazhou Yang; et al. (IEEE Trans. Geosci. Remote. Sens., 2022)

Debiased Scene Graph Generation for Dual Imbalance Learning. - Hao Zhou 029; Jun Zhang 067; Tingjin Luo; Yazhou Yang; Jun Lei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)