Research on Multi-valued and Multi-labeled Decision Trees. - Hong Li; Rui Zhao; Jianer Chen; Yao Xiang (ADMA, 2006)

Multi-source color transfer for natural images. - Yao Xiang; Beiji Zou 001; Maddy Hui Wang; Hong Li; Zheng Xie (ICIP, 2008)

Multi-source Color Transfer Based on Multi-labeled Decision Tree. - Yuejian Guo; Hong Li; Wei Zhang; Yao Xiang (ICYCS, 2008)

Selective color transfer with multi-source images. - Yao Xiang; Beiji Zou 001; Hong Li (Pattern Recognit. Lett., 2009)

Combine multi-valued attribute decomposition with multi-label learning. - Hong Li; Yuejian Guo; Min Wu 002; Ping Li 006; Yao Xiang (Expert Syst. Appl., 2010)

Multi-task GLOH feature selection for human age estimation. - Yixiong Liang; Lingbo Liu; Ying Xu; Yao Xiang; Beiji Zou 001 (ICIP, 2011)

Feature Selection via Sparse Approximation for Face Recognition - Yixiong Liang; Lei Wang 017; Yao Xiang; Beiji Zou 001 (CoRR, 2011)

An Improved Retinal Vessel Segmentation Method Based on Supervised Learning. - Chengzhang Zhu; Beiji Zou 001; Yao Xiang; Jinkai Cui; Hui Wu (CAD/Graphics, 2015)

Complete Tolerance Relation Based Filling Algorithm Using Spark. - Jingling Yuan; Yao Xiang; Xian Zhong; Mincheng Chen; Tao Li 006 (ICDCS, 2017)

Deep Convolutional Neural Networks for Diabetic Retinopathy Classification. - Chunyan Lian; Yixiong Liang; Rui Kang; Yao Xiang (ICAIP, 2018)

A Novel Diabetic Retinopathy Classification Scheme based on Compact Bilinear Pooling CNN and Gradient Boosted Decision Tree. - Chunyan Lian; Yixiong Liang; Rui Kang; Yuan Mao; Yao Xiang; Ling Gao (J. Inf. Hiding Multim. Signal Process., 2018)

A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network. - Yao Xiang; Wanxin Sun; Changli Pan; Meng Yan 009; Zhihua Yin; Yixiong Liang (CoRR, 2019)

Scale-invariant structure saliency selection for fast image fusion. - Yixiong Liang; Yuan Mao; Jiazhi Xia; Yao Xiang; Jianfeng Liu 001 (Neurocomputing, 2019)

An Energy Dynamic Control Algorithm Based on Reinforcement Learning for Data Centers. - Yao Xiang; Jingling Yuan; Ruiqi Luo; Xian Zhong; Tao Li 006 (Int. J. Pattern Recognit. Artif. Intell., 2019)

Disentangled Representation Learning Based Multidomain Stain Normalization For Histological Images. - Yao Xiang; Jialin Chen; Qing Liu 003; Yixiong Liang (ICIP, 2020)

Comparison detector for cervical cell/clumps detection in the limited data scenario. - Yixiong Liang; Zhihong Tang; Meng Yan 009; Jialin Chen; Qing Liu 003; Yao Xiang (Neurocomputing, 2021)

Distributed State Estimation for Topology Random Switching in Sensor Networks. - Peng Yan; Yao Xiang (ICAIS (3), 2022)

Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block. - Xiaoxi Lu; Xingyue Wang; Jiansheng Fang; Na Zeng; Yao Xiang; Jingfeng Zhang; Jianjun Zheng; Jiang Liu 001 (ICCCV, 2022)

A Multi-modality Driven Promptable Transformer for Automated Parapneumonic Effusion Staging. - Yan Chen; Qing Liu 003; Yao Xiang (PRCV (13), 2023)

UPOA: A User Preference Based Latency and Energy Aware Intelligent Offloading Approach for Cloud-Edge Systems. - Jingling Yuan; Yao Xiang; Yuhui Deng; Yi Zhou 009; Geyong Min (IEEE Trans. Cloud Comput., 2023)