Data-Driven Method for Predicting Remaining Useful Life of Bearing Based on Bayesian Theory. - Tianhong Gao; Yuxiong Li; Xianzhen Huang; Changli Wang (Sensors, 2021)

Conditional Generative Adversarial Networks for Hyperspectral Image Classification. - Nianze Wu; Bozhi Hao; Jiahao Ma; Tianhong Gao; Yancong Deng (ICMLC, 2022)

A wiener-based remaining useful life prediction method with multiple degradation patterns. - Yuxiong Li; Xianzhen Huang; Tianhong Gao; Chengying Zhao; Shangjie Li (Adv. Eng. Informatics, 2023)

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. - Tianhong Gao; Jie Song 011; Xiaotian Yu; Shengxuming Zhang; Wenjie Liang; Hongbin Zhang; Ziqian Li; Wenzhuo Zhang; Xiuming Zhang; Zipeng Zhong; Mingli Song; Zunlei Feng (MICCAI (11), 2024)

Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Clinical Pathology Analysis. - Shengxuming Zhang; Weihan Li; Tianhong Gao; Jiacong Hu; Haoming Luo; Mingli Song; Xiuming Zhang; Zunlei Feng (CoRR, 2024)

Research on the Vision-Based Dairy Cow Ear Tag Recognition Method. - Tianhong Gao; Daoerji Fan; Huijuan Wu; Xiangzhong Chen; Shihao Song; Yuxin Sun; Jia Tian (Sensors, 2024)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks. - Taoran Fang; Tianhong Gao; Chunping Wang 001; Yihao Shang; Wei Chow; Lei Chen; Yang Yang 009 (ICLR, 2025)

EcomMIR: Towards Intelligent Multimodal Intent Recognition in E-Commerce Dialogue Systems. - Tianhong Gao; Genhang Shen; Yuxuan Wu; Zunlei Feng; Jinshan Zhang 001; Sheng Zhou 004 (WWW (Companion Volume), 2025)

A fully interpretable convolutional neural network for intelligent fault diagnosis of rotating machinery. - Tianhong Gao; Haiping Zhu; Jun Wu; Quan Yuan; Zirui Li (Appl. Soft Comput., 2025)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks. - Taoran Fang; Tianhong Gao; Chunping Wang; Yihao Shang; Wei Chow; Lei Chen; Yang Yang (CoRR, 2025)

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning. - Tianhong Gao; Yannian Fu; Weiqun Wu; Haixiao Yue; Shanshan Liu; Gang Zhang (CoRR, 2025)