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ORCIDJiajia Li 0004
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Jiajia Li (aka: Jia-Jia Li, Jia-jia Li, JiaJia Li) — disambiguation page
- Jiajia Li 0001
![[0000-0003-1270-4147]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1270-4147")
— North Carolina State University, Raleigh, NC, USA (and 2 more) - Jiajia Li 0002 — University of California at San Diego, La Jolla, CA, USA
- Jiajia Li 0003 — Shenyang Aerospace University, Shenyang, Liaoning, China
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Journal Articles
- 2024
[j8]Jiajia Li, Pingping Zhang, Xia Yang, Lei Zhu, Teng Wang, Ping Zhang, Ruhan Liu, Bin Sheng, Kaixuan Wang:
SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images. Artif. Intell. Medicine 154: 102919 (2024)- [j7]Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. J. Heal. Informatics Res. 8(3): 478-505 (2024) - [j6]Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo:
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations. IEEE Trans. Ind. Informatics 20(3): 4206-4217 (2024) - [j5]Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, Bin Sheng:
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis. IEEE Trans. Medical Imaging 43(1): 64-75 (2024) - 2023
- [j4]Haitao Song, Han Zhang, Tianyi Wang, Jiajia Li, Zikai Wang, Hongyu Ji, Yijun Chen:
Skip-RCNN: A Cost-Effective Multivariate Time Series Forecasting Model. IEEE Access 11: 142087-142099 (2023) - [j3]Jiajia Li, Xue Han, Yiming Qin, Feng Tan, Yulong Chen, Zikai Wang, Haitao Song, Xi Zhou, Yuan Zhang, Lun Hu, Pengwei Hu:
Artificial intelligence accelerates multi-modal biomedical process: A Survey. Neurocomputing 558: 126720 (2023) - 2022
- [j2]Xing Wei, Yuqing Liu, Jiajia Li, Huiyong Chu, Zichen Zhang, Feng Tan, Pengwei Hu:
B-AT-KD: Binary attention map knowledge distillation. Neurocomputing 511: 299-307 (2022) - [j1]Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng, Jun Qi:
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Informatics 18(1): 163-173 (2022)
Conference and Workshop Papers
- 2023
- [c7]Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu:
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. BIBM 2023: 1266-1271 - [c6]Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu:
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. BIBM 2023: 4807-4811 - [c5]Cheng He, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, Linghe Kong:
PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series. ICDM 2023: 1583-1592 - [c4]Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan:
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. ICIC (3) 2023: 460-472 - 2022
- [c3]Jiajia Li, Ling Dai, Feng Tan, Hui Shen, Zikai Wang, Bin Sheng, Pengwei Hu:
CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps. ICASSP 2022: 4073-4077 - [c2]Haitao Song, Yijun Chen, Jiajia Li, Tianyi Wang, Hao Shen, Cheng He:
Energy Efficiency Forecasting for Central Air-conditioning Refrigeration Systems Based on Deep Neural Network. ICNSC 2022: 1-5 - [c1]Longxuan Yu, Jiajia Li, Tianyi Wang, Feng Tan, Cheng He, Haitao Song:
T2I-Net: Time Series Classification via Deep Sequence-to-image Transformation Networks. ICNSC 2022: 1-5
Informal and Other Publications
- 2023
- [i2]Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts. CoRR abs/2306.12457 (2023) - 2022
- [i1]Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Lingfei Wu, Pengwei Hu:
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps. CoRR abs/2211.07642 (2022)
Coauthor Index
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