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

Deep Superpixel Cut for Unsupervised Image Segmentation. - Qinghong Lin; Weichan Zhong; Jianglin Lu (ICPR, 2020)

Label Self-Adaption Hashing for Image Retrieval. - Jianglin Lu; Zhihui Lai 001; Jingxu Lin; Qinghong Lin; Jie Zhou 009 (ICPR, 2020)

Fast Deep Asymmetric Hashing for Image Retrieval. - Chuangquan Lin; Zhihui Lai 001; Jianglin Lu; Jie Zhou 009 (ACPR (2), 2021)

Low-Rank Correlation Analysis for Discriminative Subspace Learning. - Jiacan Zheng; Zhihui Lai 001; Jianglin Lu; Jie Zhou 009 (ACPR (2), 2021)

Automatic Shortest Path Planning Method for Driverless Vehicles Based on Improved Ant Colony Algorithm. - Jianglin Lu (AIAM (ACM), 2021)

Unmanned Car Path Tracking Control Method Based on Machine Learning. - Jianglin Lu (AIAM (ACM), 2021)

Progressive Distribution Alignment Based on Label Correction for Unsupervised Domain Adaptation. - Yong Li; Desheng Li; Yuwu Lu; Can Gao; Wenjing Wang; Jianglin Lu (ICME, 2021)

Local Graph Convolutional Networks for Cross-Modal Hashing. - Yudong Chen 002; Sen Wang 001; Jianglin Lu; Zhi Chen 010; Zheng Zhang 006; Zi Huang (ACM Multimedia, 2021)

Hardware in the Loop Verification System for Collision Avoidance Algorithm of Intelligent Electric Vehicle. - Jianglin Lu (SPIoT (1), 2021)

Target redirected regression with dynamic neighborhood structure. - Jianglin Lu; Jingxu Lin; Zhihui Lai 001; Hailing Wang; Jie Zhou 009 (Inf. Sci., 2021)

Low-rank adaptive graph embedding for unsupervised feature extraction. - Jianglin Lu; Hailing Wang; Jie Zhou 009; Yudong Chen 002; Zhihui Lai 001; Qinghua Hu (Pattern Recognit., 2021)

Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Tao Wang; Jianglin Lu; Zhihui Lai 001; Jiajun Wen 001; Heng Kong (IJCAI, 2022)

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Zhihui Lai 001; Kwok-Wai Hung (CoRR, 2022)

Deep asymmetric hashing with dual semantic regression and class structure quantization. - Jianglin Lu; Hailing Wang; Jie Zhou 009; Mengfan Yan; Jiajun Wen 001 (Inf. Sci., 2022)

Global structure-guided neighborhood preserving embedding for dimensionality reduction. - Can Gao; Yong Li; Jie Zhou 009; Witold Pedrycz; Zhihui Lai 001; Jun Wan 005; Jianglin Lu (Int. J. Mach. Learn. Cybern., 2022)

Generalized Embedding Regression: A Framework for Supervised Feature Extraction. - Jianglin Lu; Zhihui Lai 001; Hailing Wang; Yudong Chen 002; Jie Zhou 009; Linlin Shen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Semantic and Attentive Network for Unsupervised Video Summarization. - Sheng-Hua Zhong; Jingxu Lin; Jianglin Lu; Ahmed Fares; Tongwei Ren (ACM Trans. Multim. Comput. Commun. Appl., 2022)

SSC-l0: Sparse Subspace Clustering with the l0 Inequality Constraint. - Yangbo Wang; Jie Zhou 009; Qingshui Lin; Jianglin Lu; Can Gao (ACPR (3), 2023)

Latent Graph Inference with Limited Supervision. - Jianglin Lu; Yi Xu 005; Huan Wang 014; Yue Bai; Yun Fu 001 (NeurIPS, 2023)

Robust Self-expression Learning with Adaptive Noise Perception. - Yangbo Wang; Jie Zhou 009; Jianglin Lu; Jun Wan 005; Can Gao; Qingshui Lin (Pattern Recognit., 2024)

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Kwok-Wai Hung (IEEE Trans. Cybern., 2024)

Scale-Free Graph-Language Models. - Jianglin Lu; Yixuan Liu; Yitian Zhang; Yun Fu 001 (ICLR, 2025)

Trajectory Prediction Meets Large Language Models: A Survey. - Yi Xu; Ruining Yang; Yitian Zhang; Yizhou Wang; Jianglin Lu; Mingyuan Zhang; Lili Su; Yun Fu (CoRR, 2025)