Linggang Kong

According to our database, Linggang Kong authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

CausalGaze: Unveiling Hallucinations via Counterfactual Graph Intervention in Large Language Models.

Linggang Kong, Lei Wu, Yunlong Zhang, Xiaofeng Zhong, Zhen Wang, Yongjie Wang, Yao Pan

CoRR, April, 2026

HaluGNN: Hallucination detection in large language models using graph neural network.

Linggang Kong, Yunlong Zhang, Xiaofeng Zhong, Haoran Fu, Yongjie Wang, Huijun Liu

Expert Syst. Appl., 2026

2025

Multi-perspective consistency checking for large language model hallucination detection: a black-box zero-resource approach.

Linggang Kong, Xiaofeng Zhong, Jie Chen, Haoran Fu, Yongjie Wang

Frontiers Inf. Technol. Electron. Eng., November, 2025

Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review.

Yao Pan, Shijia Kang, Linggang Kong, Jiaju Wu, Yonghui Yang, Hongfu Zuo

Artif. Intell. Eng. Des. Anal. Manuf., 2025

Towards Reliable Large Language Models: A Survey on Hallucination Detection.

Yao Pan, Linggang Kong, Jiaju Wu, Yonghui Yang, Hongfu Zuo, Ze Xiu, Xiaodong Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Aircraft Engine Fault Diagnosis Model Based on 1DCNN-BiLSTM with CBAM.

Jiaju Wu, Linggang Kong, Shijia Kang, Hongfu Zuo, Yonghui Yang, Zheng Cheng

Sensors, February, 2024

2022

Research on IETM Data Publishing.

Cuifang Zheng, Jiaju Wu, Zheng Cheng, Linggang Kong, Shijia Kang, Bin Luo

Proceedings of the International Conference on Artificial Intelligence, 2022

2021

The Demand Supply Steady-State Process-Based Multi-Level Spare Parts Optimization.

Jiaju Wu, Huijun Liu, Hongfu Zuo, Zheng Cheng, Yonghui Yang, Yongqi Ma, Linggang Kong

Sensors, 2021