A brief survey on RGB-D semantic segmentation using deep learning. - Changshuo Wang 001; Chen Wang 026; Weijun Li 002; Haining Wang (Displays, 2021)

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. - Changshuo Wang 001; Xin Ning 001; Linjun Sun; Liping Zhang; Weijun Li 002; Xiao Bai 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Pedestrian Re-ID based on feature consistency and contrast enhancement. - Enhao Ning; Canlong Zhang; Changshuo Wang 001; Xin Ning 001; Hao Chen; Xiao Bai 001 (Displays, 2023)

Deep learning-based 3D point cloud classification: A systematic survey and outlook. - Huang Zhang; Changshuo Wang 001; Shengwei Tian; Baoli Lu; Liping Zhang; Xin Ning 001; Xiao Bai 001 (Displays, 2023)

GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding. - Changshuo Wang 001; Meiqing Wu; Siew-Kei Lam; Xin Ning 001; Shangshu Yu; Ruiping Wang; Weijun Li 002; Thambipillai Srikanthan (ECCV (8), 2024)

Occluded person re-identification with deep learning: A survey and perspectives. - Enhao Ning; Changshuo Wang 001; Huang Zhang; Xin Ning 001; Prayag Tiwari (Expert Syst. Appl., 2024)

Deformation depth decoupling network for point cloud domain adaptation. - Huang Zhang; Xin Ning 001; Changshuo Wang 001; Enhao Ning; Lusi Li (Neural Networks, 2024)

Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning. - Zaiyang Yu; Lusi Li; Jinlong Xie; Changshuo Wang 001; Weijun Li 002; Xin Ning 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation. - Huang Zhang; Changshuo Wang 001; Long Yu 001; Shengwei Tian; Xin Ning 001; Joel J. P. C. Rodrigues (IEEE Trans. Multim., 2024)

Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification. - Enhao Ning; Yangfan Wang; Changshuo Wang 001; Huang Zhang; Xin Ning 001 (Neural Networks, 2024)

3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation. - Changshuo Wang 001; Xin Ning 001; Weijun Li 002; Xiao Bai 001; Xingyu Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. - Xiang Fang; Wanlong Fang; Changshuo Wang 001; Daizong Liu; Keke Tang; Jianfeng Dong; Pan Zhou 001; Beibei Li 002 (AAAI, 2025)

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation. - Changshuo Wang 001; Shuting He; Xiang Fang; Meiqing Wu; Siew-Kei Lam; Prayag Tiwari (AAAI, 2025)

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding. - Changshuo Wang 001; Shuting He; Xiang Fang; Jiawei Han; Zhonghang Liu; Xin Ning 001; Weijun Li 002; Prayag Tiwari (CVPR, 2025)

FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection. - Zhonghang Liu; Kun Zhou 001; Changshuo Wang 001; Wen-Yan Lin; Jiangbo Lu (CVPR, 2025)

Learning discriminative topological structure information representation for 2D shape and social network classification via persistent homology. - Changshuo Wang 001; Rongsheng Cao; Ruiping Wang (Knowl. Based Syst., 2025)

Comprehensive disentanglement with fine-grained feature mitigation for domain generalization. - Youjia Shao; Changshuo Wang 001; Qihang Jia; Wencang Zhao (Neural Networks, 2025)

Looking Clearer With Text: A Hierarchical Context Blending Network for Occluded Person Re-Identification. - Changshuo Wang 001; Xingyu Gao 001; Meiqing Wu; Siew-Kei Lam; Shuting He; Prayag Tiwari (IEEE Trans. Inf. Forensics Secur., 2025)

EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes. - Shangshu Yu; Meiqing Wu; Siew-Kei Lam; Changshuo Wang 001; Ruiping Wang (IEEE Trans. Intell. Transp. Syst., 2025)