Competitive Inner-Imaging Squeeze and Excitation for Residual Network. - Yang Hu; Guihua Wen; Mingnan Luo; Dan Dai; Jiajiong Ma (CoRR, 2018)

Metabolize Neural Network. - Dan Dai; Zhiwen Yu 002; Yang Hu; Wenming Cao 002; Mingnan Luo (CoRR, 2018)

Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features. - Yingxue Xu; Guihua Wen; Yang Hu; Mingnan Luo; Dan Dai; Yishan Zhuang (CoRR, 2018)

Inner-Imaging Convolutional Networks. - Yang Hu; Guihua Wen; Mingnan Luo; Dan Dai; Wenming Cao 002; Zhiwen Yu 002 (CoRR, 2019)

Semantic Graph-enhanced Visual Network for Zero-shot Learning. - Yang Hu; Guihua Wen; Adriane Chapman; Pei Yang 001; Mingnan Luo; Yingxue Xu; Dan Dai; Wendy Hall 001 (CoRR, 2020)

Learning competitive channel-wise attention in residual network with masked regularization and signal boosting. - Mingnan Luo; Guihua Wen; Yang Hu; Dan Dai; Jiajiong Ma (Expert Syst. Appl., 2020)

Stochastic region pooling: Make attention more expressive. - Mingnan Luo; Guihua Wen; Yang Hu; Dan Dai; Yingxue Xu (Neurocomputing, 2020)

Interactive Intention Prediction Model for Humanoid Robot Based on Visual Features. - Jian Bi; Miao He; Mingnan Luo; Fangchao Hu (CCRIS, 2021)

Fully-channel regional attention network for disease-location recognition with tongue images. - Yang Hu; Guihua Wen; Mingnan Luo; Pei Yang 001; Dan Dai; Zhiwen Yu 002; Changjun Wang; Wendy Hall 001 (Artif. Intell. Medicine, 2021)

Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation. - Yanghui Li; Guihua Wen; Yang Hu; Mingnan Luo; Baochao Fan; Changjun Wang; Pei Yang 001 (J. Biomed. Informatics, 2021)

Multiple attentional pyramid networks for Chinese herbal recognition. - Yingxue Xu; Guihua Wen; Yang Hu; Mingnan Luo; Dan Dai; Yishan Zhuang; Wendy Hall 001 (Pattern Recognit., 2021)

MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition. - Haozan Liang; Guihua Wen; Yang Hu; Mingnan Luo; Pei Yang 001; Yingxue Xu (IEEE Trans. Multim., 2021)

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. - Xiangru Lian; Binhang Yuan; Xuefeng Zhu; Yulong Wang; Yongjun He 004; Honghuan Wu; Lei Sun; Haodong Lyu; Chengjun Liu; Xing Dong; Yiqiao Liao; Mingnan Luo; et al. (KDD, 2022)

Inner-Imaging Networks: Put Lenses Into Convolutional Structure. - Yang Hu; Guihua Wen; Mingnan Luo; Dan Dai; Wenming Cao 002; Zhiwen Yu 002; Wendy Hall 001 (IEEE Trans. Cybern., 2022)

Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification. - Yingxue Xu; Guihua Wen; Pei Yang 001; Baochao Fan; Yang Hu; Mingnan Luo; Changjun Wang (IEEE J. Biomed. Health Informatics, 2022)

Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition. - Yang Hu; Guihua Wen; Adriane Chapman; Pei Yang 001; Mingnan Luo; Yingxue Xu; Dan Dai; Wendy Hall 001 (IEEE Trans. Multim., 2022)

Human engagement intention intensity recognition method based on two states fusion fuzzy inference system. - Jian Bi; Fangchao Hu; Yujin Wang; Mingnan Luo; Miao He (Intell. Serv. Robotics, 2023)