A discriminatively deep fusion approach with improved conditional GAN (im-cGAN) for facial expression recognition. - Zhe Sun; Hehao Zhang; Jiatong Bai; Mingyang Liu; Zhengping Hu (Pattern Recognit., 2023)

Combining deep subspace feature representation based IKPCANet and jointly constraint multi-dictionary learning for facial expression recognition. - Zhe Sun; Jiatong Bai; Panpan Wang; Jiaxue Huang (Artif. Intell. Rev., 2023)

Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver. - Jiatong Bai; Feng Shu 002; Qinghe Zheng; Bo Xu; Baihua Shi; Yiwen Chen; Weibin Zhang; Xianpeng Wang 001 (CoRR, 2024)

Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive H2AD MIMO Receiver. - Jiatong Bai; Minghao Chen; Wankai Tang; Yifan Li; Cunhua Pan; Yongpeng Wu 001; Feng Shu 002 (CoRR, 2024)

Multi-class differentiation feature representation guided joint dictionary learning for facial expression recognition. - Zhe Sun; Jiatong Bai; Hehao Zhang (Signal Image Video Process., 2024)

Multi-Branch DNN and CRLB-Ratio-Weight Fusion for Enhanced DOA Sensing via a Massive H2AD MIMO Receiver. - Feng Shu 002; Jiatong Bai; Di Wu 058; Wei Zhu; Bin Deng; Fuhui Zhou; Jiangzhou Wang (CoRR, 2025)

DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver. - Bin Deng; Jiatong Bai; Feilong Zhao; Zuming Xie; Maolin Li; Yan Wang 027; Feng Shu 002 (CoRR, 2025)

A Novel-Deep-Neural-Network-Architecture-Based GAN-DRANet for DOA Sensing With an Enhanced Performance in Low SNR. - Jiatong Bai; Feng Shu 002; Wei Gao; Guilu Wu; Weiwei Yang 001; Riqing Chen; Zhihong Zhuang (IEEE Internet Things J., 2025)