Xiao He

According to our database, Xiao He authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation.

Ruiheng Zhang, Jingfeng Yao, Huangxuan Zhao, Hao Yan, Xiao He, Lei Chen, Zhou Wei, Yong Luo, Zengmao Wang, Lefei Zhang, Dacheng Tao, Bo Du

CoRR, January, 2026

Holistic Invariant Retracing for Distortion-Resilient Multi-Modal Learning in Spatial Transcriptomics.

Xiao He, Huangxuan Zhao, Di Wang, Dacheng Tao, Bo Du

IEEE Trans. Image Process., 2026

PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction.

Shunfan Li, Jiangkai Long, Xin Zou, Chang Tang, Yuanyuan Liu, Xiao He, Xuesong Yan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mask-Informed Deep Contrastive Incomplete Multi-View Clustering.

Zhenglai Li, Yuqi Shi, Xiao He, Chang Tang

IEEE Trans. Circuits Syst. Video Technol., December, 2025

Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image.

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Zhimin Gao, Chuankun Li, Shaohua Qiu, Jiangfeng Xu

CoRR, December, 2025

Spectral Discrepancy and Cross-Modal Semantic Consistency Learning for Object Detection in Hyperspectral Images.

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Zhimin Gao, Chuankun Li, Shaohua Qiu, Jiangfeng Xu

IEEE Trans. Multim., 2025

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement.

Yanran Zhu, Xiao Zheng, Xiao He, Xin Zou, Peihong Wang, Chang Tang, Xinwang Liu, Kunlun He

Inf. Fusion, 2025

Contrastive Trustworthy Prototype Learning for multi-modality myocardial pathology segmentation.

Jingjing Liu, Ao Wei, Lijuan Cao, Xiao He, Chang Tang

Appl. Soft Comput., 2025

2024

Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering.

Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He

IEEE Trans. Knowl. Data Eng., December, 2024

DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation.

Xin Zou, Xiao He, Xiao Zheng, Wei Zhang, Jiajia Chen, Chang Tang

IEEE J. Biomed. Health Informatics, October, 2024

Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data.

Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation.

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu

IEEE Trans. Geosci. Remote. Sens., 2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.

Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multispectral Object Detection via Cross-Modal Conflict-Aware Learning.

Xiao He, Chang Tang, Xin Zou, Wei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023