A Kernel-based Test of Independence for Cluster-correlated Data. - Hongjiao Liu; Anna M. Plantinga; Yunhua Xiang; Michael C. Wu (NeurIPS, 2021)

A Transformer-Based Three-Branch Siamese Network For Hyperspectral Object Tracking. - Nan Su 001; Hongjiao Liu; Chunhui Zhao 003; Yiming Yan; Jinpeng Wang; Jiayue He (WHISPERS, 2022)

RANet: A Reliability-Guided Aggregation Network for Hyperspectral and RGB Fusion Tracking. - Chunhui Zhao 003; Hongjiao Liu; Nan Su 001; Lu Wang 010; Yiming Yan (Remote. Sens., 2022)

TFTN: A Transformer-Based Fusion Tracking Framework of Hyperspectral and RGB. - Chunhui Zhao 003; Hongjiao Liu; Nan Su 001; Yiming Yan (IEEE Trans. Geosci. Remote. Sens., 2022)

An Attention-Guided Matching Association Network for Hyperspectral and RGB Fusion Tracking. - Hongjiao Liu; Nan Su 001; Chunhui Zhao 003; Yiming Yan (IGARSS, 2023)

Multi-Band Hyperspectral Object Tracking: Leveraging Spectral Information Prompts and Spectral Scale-Aware Representation. - Hongjiao Liu; Jiayue He; Jinpeng Wang; Nan Su 001; Chunhui Zhao 003; Yiming Yan; Shou Feng; Ze Liu; Jianfei Liu; Zilong Zhao (WHISPERS, 2023)

Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. - Hongjiao Liu; Shan Xue 001; Jian Yang 001; Jia Wu 001 (WISE, 2023)

TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking. - Chunhui Zhao 003; Hongjiao Liu; Nan Su 001; Congan Xu; Yiming Yan; Shou Feng (Remote. Sens., 2023)