Semantic segmentation of RGBD images based on deep depth regression. - Yanrong Guo; Tao Chen 017 (Pattern Recognit. Lett., 2018)

Personalized Image Recommendation with Photo Importance and user-item Interactive Attention. - Wan Zhang; Zepeng Wang; Tao Chen 017 (ICME Workshops, 2019)

Unsupervised feature selection based on joint spectral learning and general sparse regression. - Tao Chen 017; Yanrong Guo; Shijie Hao (Neural Comput. Appl., 2020)

Sparsity-regularized feature selection for multi-class remote sensing image classification. - Tao Chen 017; Ye Zhao 001; Yanrong Guo (Neural Comput. Appl., 2020)

Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer's Disease Study. - Shijie Hao; Tao Chen 017; Yang Wang 023; Yanrong Guo; Meng Wang 001 (ACM Trans. Internet Techn., 2021)

EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection. - Tao Chen 017; Tong Zheng; Jinlong Shi; Yanrong Guo (ICPR Workshops (1), 2022)

Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Affect. Comput., 2022)

MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. - Tao Chen 017; Richang Hong; Yanrong Guo; Shijie Hao; Bin Hu 001 (IEEE Trans. Cybern., 2023)

Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Multim., 2024)

Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Affect. Comput., 2025)