Web Page Summarization by using Concept Hierarchies. - Ben Choi 002; Xiaomei Huang (ICAART, 2009)

Approximately Filtering Redundant Data for Uncertain RFID Data Streams. - Guoqiong Liao; Jun Zhou; Ni Hui; Xiaomei Huang; Zhiwei Huang; Changxuan Wan; Xiping Liu (MDM, 2017)

Group Event Recommendation in Event-Based Social Networks Considering Unexperienced Events. - Guoqiong Liao; Xiaomei Huang; Mingsong Mao; Changxuan Wan; Xiping Liu; Dexi Liu (IEEE Access, 2019)

FHAN: Feature-Level Hierarchical Attention Network for Group Event Recommendation. - Guoqiong Liao; Xiaobin Deng; Xiaomei Huang; Changxuan Wan (APWeb/WAIM (1), 2020)

An Intelligent Group Event Recommendation System in Social networks. - Guoqiong Liao; Xiaomei Huang; Neal N. Xiong; Changxuan Wan (CoRR, 2020)

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Xiaowei Xu; Su Yao; Lixu Yan; et al. (CoRR, 2021)

Feasibility Analysis of Ultrasonic Imaging with Bilateral Filtering Algorithm in Clinical Diagnosis of Functional Dyspepsia. - Xiaomei Huang; Bo Liu (J. Medical Imaging Health Informatics, 2021)

Softwarized Attention-Based Context-Aware Group Recommendation Technology in Event-Based Industrial Cyber-Physical Systems. - Guoqiong Liao; Xiaomei Huang; Naixue Xiong; Changxuan Wan; Mingsong Mao (IEEE Trans. Ind. Informatics, 2021)

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images. - Yuhao Mo; Chu Han; Yu Liu; Min Liu; Zhenwei Shi; Jiatai Lin; Bingchao Zhao; Chunwang Huang; Bingjiang Qiu; Yanfen Cui; Lei Wu; Xipeng Pan; et al. (CoRR, 2022)

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Zeyan Xu; Su Yao; Lixu Yan; et al. (Medical Image Anal., 2022)

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. - Zihan Cao; Zhenwei Shi; Xiaomei Huang; Chu Han; Xinyu Dong; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. - Xinyu Dong; Zhenwei Shi; Xiaomei Huang; Chu Han; Zihan Cao; Zhihe Zhao; Dan Wang; Peng Xu 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

An artificial bee colony algorithm with a balance strategy for wireless sensor network. - Shuliang Zhu; Chi-Man Pun; Haipeng Zhu; Shujuan Li; Xiaomei Huang; Hao Gao 005 (Appl. Soft Comput., 2023)

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. - Yuhao Mo; Chu Han; Yu Liu; Min Liu; Zhenwei Shi; Jiatai Lin; Bingchao Zhao; Chunwang Huang; Bingjiang Qiu; Yanfen Cui; Lei Wu; Xipeng Pan; et al. (IEEE Trans. Medical Imaging, 2023)

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. - Jiadong Zhang; Zhiming Cui; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification. - Feilong Cao; Xiaomei Huang; Bing Yang; Hailiang Ye (Digit. Signal Process., 2024)

SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information. - Yugen Yi; Haoming Zhang; Ningyi Zhang; Wei Zhou 003; Xiaomei Huang; Gengsheng Xie; Caixia Zheng (Inf., 2024)

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. - Zhihe Zhao; Siyao Du; Zeyan Xu; Zhi Yin; Xiaomei Huang; Xin Huang; Chinting Wong; Yanting Liang; Jing Shen; Jianlin Wu; Jinrong Qu; Lina Zhang; et al. (Comput. Biol. Medicine, 2024)

A self-attention model with contrastive learning for online group recommendation in event-based social networks. - Zhiheng Zhou; Xiaomei Huang; Naixue Xiong; Guoqiong Liao; Xiaobin Deng (J. Supercomput., 2024)

Correction: Yi et al. SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information. Information 2024, 15, 57. - Yugen Yi; Haoming Zhang; Ningyi Zhang; Wei Zhou 003; Xiaomei Huang; Gengsheng Xie; Caixia Zheng (Inf., 2024)

An enhanced network with parallel graph node diffusion and node similarity contrastive loss for hyperspectral image classification. - Hailiang Ye; Xiaomei Huang; Houying Zhu; Feilong Cao (Digit. Signal Process., 2025)