Face Recognition Based on Kernelized Extreme Learning Machine. - Weiwei Zong; Hongming Zhou; Guang-Bin Huang; Zhiping Lin 001 (AIS, 2011)

Face recognition based on extreme learning machine. - Weiwei Zong; Guang-Bin Huang (Neurocomputing, 2011)

Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse. - Weiwei Zong; Yuan Lan; Guang-Bin Huang (ICPRAM (1), 2012)

Liver tumor detection and segmentation using kernel-based extreme learning machine. - Weimin Huang 002; Ning Li; Zhiping Lin 001; Guang-Bin Huang; Weiwei Zong; Jiayin Zhou; Yuping Duan (EMBC, 2013)

Weighted extreme learning machine for imbalance learning. - Weiwei Zong; Guang-Bin Huang; Yiqiang Chen 001 (Neurocomputing, 2013)

Learning to Rank with Extreme Learning Machine. - Weiwei Zong; Guang-Bin Huang (Neural Process. Lett., 2014)

A two-step fault diagnosis framework for rolling element bearings with imbalanced data. - Yuan Lan; Weiwei Zong; Xiaojian Ding; Xiaoyan Xiong; XiaoHang Han; Jiahai Huang; Bing Ma (URAI, 2016)

Automatic Brain Tumor Segmentation and Overall Survival Prediction Using Machine Learning Algorithms. - Eric Nathan Carver; Chang Liu; Weiwei Zong; Zhenzhen Dai; James M. Snyder; Joon Lee; Ning Wen (BrainLes@MICCAI (2), 2018)

A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. - Weiwei Zong; Joon Lee; Chang Liu; Eric Nathan Carver; Aharon Feldman; Branislava Janic; Mohamed Elshaikh; Milan Pantelic; David Hearshen; Indrin J. Chetty; Benjamin Movsas; Ning Wen (CoRR, 2019)

Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN. - Zhenzhen Dai; Eric Nathan Carver; Chang Liu; Joon Lee; Aharon Feldman; Weiwei Zong; Milan Pantelic; Mohamed Elshaikh; Ning Wen (CoRR, 2019)

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. - Weiwei Zong; Eric Nathan Carver; Simeng Zhu; Eric Schaff; Daniel Chapman; Joon Lee; Hassan Bagher-Ebadian; Indrin J. Chetty; Benjamin Movsas; Winston Wen; Tarik Alafif; Xiangyun Zong (CoRR, 2022)

Adaptive Batch Normalization for Training Data with Heterogeneous Features. - Wael Alsobhi; Tarik Alafif; Alaa E. Abdel-Hakim; Weiwei Zong (CoRR, 2022)