Ziqian Kong

According to our database, Ziqian Kong authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Narrative-Driven Travel Planning: Geoculturally-Grounded Script Generation with Evolutionary Itinerary Optimization.

Ran Ding, Ziyu Zhang, Ying Zhu, Ziqian Kong, Peilan Xu

CoRR, February, 2025

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

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure.

Yuling Zhan, Ziqian Kong, Ziqi Wang, Xiaohang Jin, Zhengguo Xu

Reliab. Eng. Syst. Saf., 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

Graph Retrieval Augmented Trustworthiness Reasoning.

Ying Zhu, Shengchang Li, Ziqian Kong, Peilan Xu

CoRR, 2024

Machine learning based generic demodulation framework in distributed temperature sensing.

Jiamu Ling, Ziqian Kong, Zixuan He, Wei Ye, Zhengguo Xu

Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2023

Global and local information integrated network for remaining useful life prediction.

Zian Chen, Xiaohang Jin, Ziqian Kong, Feng Wang, Zhengguo Xu

Eng. Appl. Artif. Intell., November, 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., June, 2023

Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning.

Xiaohang Jin, Hao Wang, Ziqian Kong, Zhengguo Xu, Wei Qiao

IEEE Access, 2023

2022

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

IEEE Trans. Instrum. Meas., 2022