Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network. - Ziqian Kong; Xiaohang Jin; Zhengguo Xu; Bin Zhang 008 (IEEE Trans. Instrum. Meas., 2022)

Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning. - Xiaohang Jin; Hao Wang 177; Ziqian Kong; Zhengguo Xu; Wei Qiao 001 (IEEE Access, 2023)

A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. - Ziqian Kong; Xiaohang Jin; Zhengguo Xu; Zian Chen (Reliab. Eng. Syst. Saf., 2023)

Global and local information integrated network for remaining useful life prediction. - Zian Chen; Xiaohang Jin; Ziqian Kong; Feng Wang 070; Zhengguo Xu (Eng. Appl. Artif. Intell., 2023)

Machine learning based generic demodulation framework in distributed temperature sensing. - Jiamu Ling; Ziqian Kong; Zixuan He; Wei Ye; Zhengguo Xu (IECON, 2024)

Graph Retrieval Augmented Trustworthiness Reasoning. - Ying Zhu; Shengchang Li; Ziqian Kong; Peilan Xu (CoRR, 2024)

A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines. - Zixuan He; Ziqian Kong; Zhengyu Chen; Yuling Zhan; Zijun Que; Zhengguo Xu (CoRR, 2024)

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure. - Yuling Zhan; Ziqian Kong; Ziqi Wang 010; Xiaohang Jin; Zhengguo Xu (Reliab. Eng. Syst. Saf., 2024)

Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. - Zixuan He; Ziqian Kong; Xiaohang Jin; Zijun Que; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2024)

Narrative-Driven Travel Planning: Geoculturally-Grounded Script Generation with Evolutionary Itinerary Optimization. - Ran Ding; Ziyu Zhang; Ying Zhu; Ziqian Kong; Peilan Xu (CoRR, 2025)