Jiajia Li

According to our database, Jiajia Li authored at least 19 papers between 2022 and 2025.

Collaborative distances:

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

2025

MHFNet: A Multimodal Hybrid-Embedding Fusion Network for Automatic Sleep Staging.

Ruhan Liu, Jiajia Li, Yang Wen, Xian Huang, Bin Sheng, David Dagan Feng, Ping Zhang

IEEE J. Biomed. Health Informatics, May, 2025

A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability.

Zheyuan Wang, Ziyao Meng, Dezhi Wu, Haoran Liao, Tianyi Wang, Hao Shen, Jiajia Li, Haitao Song

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities.

Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng

J. Heal. Informatics Res., September, 2024

Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.

Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo

IEEE Trans. Ind. Informatics, March, 2024

DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis.

Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, Bin Sheng

IEEE Trans. Medical Imaging, January, 2024

SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images.

Jiajia Li, Pingping Zhang, Xia Yang, Lei Zhu, Teng Wang, Ping Zhang, Ruhan Liu, Bin Sheng, Kaixuan Wang

Artif. Intell. Medicine, 2024

2023

Artificial intelligence accelerates multi-modal biomedical process: A Survey.

Jiajia Li, Xue Han, Yiming Qin, Feng Tan, Yulong Chen, Zikai Wang, Haitao Song, Xi Zhou, Yuan Zhang, Lun Hu, Pengwei Hu

Neurocomputing, November, 2023

Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts.

Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng

CoRR, 2023

Skip-RCNN: A Cost-Effective Multivariate Time Series Forecasting Model.

Haitao Song, Han Zhang, Tianyi Wang, Jiajia Li, Zikai Wang, Hongyu Ji, Yijun Chen

IEEE Access, 2023

TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation.

Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series.

Cheng He, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, Linghe Kong

Proceedings of the IEEE International Conference on Data Mining, 2023

MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis.

Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.

Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network.

Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng, Jun Qi

IEEE Trans. Ind. Informatics, 2022

B-AT-KD: Binary attention map knowledge distillation.

Xing Wei, Yuqing Liu, Jiajia Li, Huiyong Chu, Zichen Zhang, Feng Tan, Pengwei Hu

Neurocomputing, 2022

HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps.

Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Lingfei Wu, Pengwei Hu

CoRR, 2022

T2I-Net: Time Series Classification via Deep Sequence-to-image Transformation Networks.

Longxuan Yu, Jiajia Li, Tianyi Wang, Feng Tan, Cheng He, Haitao Song

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Energy Efficiency Forecasting for Central Air-conditioning Refrigeration Systems Based on Deep Neural Network.

Haitao Song, Yijun Chen, Jiajia Li, Tianyi Wang, Hao Shen, Cheng He

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps.

Jiajia Li, Ling Dai, Feng Tan, Hui Shen, Zikai Wang, Bin Sheng, Pengwei Hu

Proceedings of the IEEE International Conference on Acoustics, 2022