Robust Embedding Regression for Face Recognition. - Jiaqi Bao; Jianglin Lu; Zhihui Lai 001; Ning Liu; Yuwu Lu (PRCV (2), 2019)

IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security. - Jiaqi Bao; Bechir Hamdaoui; Weng-Keen Wong (IWCMC, 2020)

Discriminative low-rank projection for robust subspace learning. - Zhihui Lai 001; Jiaqi Bao; Heng Kong; Minghua Wan; Guowei Yang 002 (Int. J. Mach. Learn. Cybern., 2020)

Relaxed local preserving regression for image feature extraction. - Jiaqi Bao; Zhihui Lai 001; Xuechen Li 001 (Multim. Tools Appl., 2021)

Half quadratic splitting method combined with convolution neural network for blind image deblurring. - Jiaqi Bao; Lin Luo 001; Yu Zhang 076; Kai Yang 024; Chaoyong Peng; Jianping Peng; Ran Li (Multim. Tools Appl., 2021)

Retargeted Regression Methods for Multi-label Learning. - Keigo Kimura; Jiaqi Bao; Mineichi Kudo; Lu Sun 001 (S+SSPR, 2022)

Definably topological dynamics of p-adic algebraic groups. - Jiaqi Bao; Ningyuan Yao (Ann. Pure Appl. Log., 2022)

TSTR: A Real-Time RGB-Thermal Semantic Segmentation Model with Multimodal Fusion Transformers. - Guoqiang Zhao; Xiaoyun Yan; Aodie Cui; Chang Hu; Jiaqi Bao; Junjie Huang (MSN, 2023)

A Nondestructive Methodology for Determining Chemical Composition of Salvia miltiorrhiza via Hyperspectral Imaging Analysis and Squeeze-and-Excitation Residual Networks. - Jieqiang Zhu; Jiaqi Bao; Yi Tao (Sensors, 2023)

Robust embedding regression for semi-supervised learning. - Jiaqi Bao; Mineichi Kudo; Keigo Kimura; Lu Sun 001 (Pattern Recognit., 2024)

Redirected transfer learning for robust multi-layer subspace learning. - Jiaqi Bao; Mineichi Kudo; Keigo Kimura; Lu Sun 001 (Pattern Anal. Appl., 2024)

Path Planning using Instruction-Guided Probabilistic Roadmaps. - Jiaqi Bao; Ryo Yonetani (CoRR, 2025)

Application of dual-channel high-order graph neural network for intrusion detection with semisupervised learning. - Zhendong Wang 002; Jiaqi Bao; Zhiyuan Zeng; Sammy Chan (Clust. Comput., 2025)