An Interaction-Enhanced Feature Selection Algorithm. - Xiaochuan Tang; Yuanshun Dai; Yanping Xiang; Liang Luo (PAKDD (3), 2018)

Interaction-based feature selection using Factorial Design. - Xiaochuan Tang; Yuanshun Dai; Peng Sun; Sa Meng (Neurocomputing, 2018)

Feature selection based on feature interactions with application to text categorization. - Xiaochuan Tang; Yuanshun Dai; Yanping Xiang (Expert Syst. Appl., 2019)

MILL: Channel Attention-based Deep Multiple Instance Learning for Landslide Recognition. - Xiaochuan Tang; Mingzhe Liu 001; Hao Zhong; Yuanzhen Ju; Weile Li; Qiang Xu 004 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning. - Chen Chen; Keren Dai; Xiaochuan Tang; Jianhua Cheng; Saied Pirasteh; Mingtang Wu; Xianlin Shi; Hao Zhou; Zhenhong Li 001 (Remote. Sens., 2022)

Automatic Detection of Coseismic Landslides Using a New Transformer Method. - Xiaochuan Tang; Zihan Tu; Yu Wang; Mingzhe Liu 001; Dongfen Li; Xuanmei Fan (Remote. Sens., 2022)

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. - Qizhen Weng; Lingyun Yang; Yinghao Yu; Wei Wang 030; Xiaochuan Tang; Guodong Yang; Liping Zhang (USENIX ATC, 2023)

Automatic Detection of Forested Landslides: A Case Study in Jiuzhaigou County, China. - Dongfen Li; Xiaochuan Tang; Zihan Tu; Chengyong Fang; Yuanzhen Ju (Remote. Sens., 2023)

Time-Series InSAR with Deep-Learning-Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection. - Hao Zhou; Keren Dai; Xiaochuan Tang; Jianming Xiang; Rongpeng Li; Mingtang Wu; Yangrui Peng; Zhenhong Li 001 (Remote. Sens., 2023)

An evolutionary game model for indirect data sharing in manufacturing big data consortium. - Xiaochuan Tang; Tao Lan; Hao Zhong; Dongfen Li; Qiang Miao (Expert Syst. Appl., 2024)

A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks. - Yihang Wu; Yanmei Hu; Siyuan Yin; Biao Cai; Xiaochuan Tang; Xiangtao Li (Knowl. Based Syst., 2024)

FedLD: Federated Learning for Privacy-Preserving Collaborative Landslide Detection. - Xiaochuan Tang; Xiaochuang Yan; Xiaojun Yuan 002; Xin Liu; Zhong Lu; Yu Wang; Hao Zhong; Dongfen Li; Filippo Catani (IEEE Geosci. Remote. Sens. Lett., 2024)

Federated graph neural network for privacy-preserved supply chain data sharing. - Xiaochuan Tang; Yu Wang; Xin Liu; Xiaojun Yuan 002; Chao Fan; Yanmei Hu; Qiang Miao (Appl. Soft Comput., 2025)

Promoting data sharing diffusion in the automotive industry: An evolutionary game model on complex networks. - Xiaochuan Tang; Tao Lan; Fan Du; Dongfen Li; Hao Zhong; Yanmei Hu; Biao Cai; Hongjun Li (Expert Syst. Appl., 2025)

Complex network structural analysis based on information supplementation graph contrastive learning. - Biao Cai; Jian Wang; Xiaochuan Tang; Xu Li; Nengbin Hu; Yanmei Hu; Mingzhe Liu 001; Qiang Miao (Knowl. Based Syst., 2025)

Mamba for Landslide Detection: A Lightweight Model for Mapping Landslides With Very High-Resolution Images. - Xiaochuan Tang; Zhong Lu; Xuanmei Fan; Xiaochuang Yan; Xiaojun Yuan 002; Dongfen Li; Huailiang Li; Hongjun Li; Sansar Raj Meena; Alessandro Novellino; Lorenzo Nava; Filippo Catani (IEEE Trans. Geosci. Remote. Sens., 2025)

A Novel Multi-Layer Attention Boosted YOLOv10 Network for Landslide Mapping Using Remote Sensing Data. - Naveen Chandra; Himadri Vaidya; Neelima Satyam; Xiaochuan Tang; Saurabh Singh; Sansar Raj Meena (Trans. GIS, 2025)

An adaptive network construction for single-cell clustering. - Tianyu Yang; Yanmei Hu; Yihang Wu; Yingxi Zhang; Bin Duo; Xiaochuan Tang; Xiangtao Li (J. Supercomput., 2025)