Hu Xu

According to our database, Hu Xu authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Discovering explicit and implicit causality for bioprocess factor forecasting.

Ziyue Sun, Hu Xu, Yinlong Li, Wenhai Wang, Xinggao Liu

Inf. Sci., 2026

A semantically guided multimodal graph neural network for process factor forecasting of industrial IoT systems.

Ziyue Sun, Hu Xu, Yinlong Li, Wenhai Wang, Xinggao Liu

Expert Syst. Appl., 2026

2025

Unified Pest Prevention and Control System Based on AIoT for Sustainable Agriculture.

Changdi Li, Guangye Li, Yanfeng Wu, Yichen Song, Qunshan He, Zijian Tian, Hu Xu, Xinggao Liu

IEEE Internet Things J., 2025

2024

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.

Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu

IEEE Trans. Ind. Informatics, December, 2024

Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation.

Hu Xu, Zhaoran Liu, Hao Wang, Changdi Li, Yunlong Niu, Wenhai Wang, Xinggao Liu

IEEE Trans. Ind. Informatics, October, 2024

Causality Enhanced Global-Local Graph Neural Network for Bioprocess Factor Forecasting.

Ziyue Sun, Yinlong Li, Qunshan He, Hu Xu, Wenhai Wang, Xinggao Liu

IEEE Trans. Ind. Informatics, October, 2024

Fast Forest Fire Detection and Segmentation Application for UAV-Assisted Mobile Edge Computing System.

Changdi Li, Guangye Li, Yichen Song, Qunshan He, Zijian Tian, Hu Xu, Xinggao Liu

IEEE Internet Things J., 2024

HMT: Hybrid mechanistic Transformer for bio-fabrication prediction under complex environmental conditions.

Yichen Song, Hu Xu, Changdi Li, Qunshan He, Zijian Tian, Xinggao Liu

Expert Syst. Appl., 2024

Hidformer: Hierarchical dual-tower transformer using multi-scale mergence for long-term time series forecasting.

Zhaoran Liu, Yizhi Cao, Hu Xu, Yuxin Huang, Qunshan He, Xinjie Chen, Xiaoyu Tang, Xinggao Liu

Expert Syst. Appl., 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang

CoRR, 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024