A Data Collection Collar for Vital Signs of Cows on the Grassland Based on LoRa. - Qi Li; Zhanghua Liu; Junsheng Xiao (ICEBE, 2018)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition. - Yang Li 081; Huahu Xu; Minjie Bian; Junsheng Xiao (Sensors, 2020)

Hybrid Attention Network for Language-Based Person Search. - Yang Li 081; Huahu Xu; Junsheng Xiao (Sensors, 2020)

Cross-scale global attention feature pyramid network for person search. - Yang Li 081; Huahu Xu; Minjie Bian; Junsheng Xiao (Image Vis. Comput., 2021)

A Weakly Supervised Semantic Segmentation Network by Aggregating Seed Cues: The Multi-Object Proposal Generation Perspective. - Junsheng Xiao; Huahu Xu; Honghao Gao; Minjie Bian; Yang Li 081 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

JoSDW: Combating Noisy Labels by Dynamic Weight. - Yaojie Zhang; Huahu Xu; Junsheng Xiao; Minjie Bian (Future Internet, 2022)

The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local-Global Net. - Honghao Gao; Kaili Xu; Min Cao; Junsheng Xiao; Qiang Xu; Yuyu Yin (IEEE Trans. Comput. Soc. Syst., 2022)

FS3DCIoT: A Few-Shot Incremental Learning Network for Skin Disease Differential Diagnosis in the Consumer IoT. - Junsheng Xiao; Jirui Li; Honghao Gao (IEEE Trans. Consumer Electron., 2023)

A Prior-mask-guided Few-shot Learning for Skin Lesion Segmentation. - Junsheng Xiao; Huahu Xu; Wei Zhao; Chen Cheng; Honghao Gao (Computing, 2023)

Boosting and rectifying few-shot learning prototype network for skin lesion classification based on the internet of medical things. - Junsheng Xiao; Huahu Xu; Dikai Fang; Chen Cheng; Honghao Gao (Wirel. Networks, 2023)

CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles. - Honghao Gao; Danqing Fang; Junsheng Xiao; Walayat Hussain; Jung Yoon Kim (IEEE Trans. Intell. Transp. Syst., 2023)

A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples. - Honghao Gao; Junsheng Xiao; Yuyu Yin; Tong Liu 001; Jiangang Shi (IEEE Trans. Neural Networks Learn. Syst., 2024)

SwinBTC: Transfer Learning to Brain Tumor Classification for Healthcare Electronics Using Augmented MR Images. - Honghao Gao; Yaping Wan; Hongxia Xu; Lingchao Chen; Junsheng Xiao; Qionghuizi Ran (IEEE Trans. Consumer Electron., 2025)