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Journal Articles
- 2024
[j7]Shou Feng
, Jinghe Zhang, Fenghua Huang, Ruihui Peng, Chunhui Zhao:
An Attention Feature Interaction Change Detection Method Based on Detail Enhancement for Dual-Temporal Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- 2018
- [j6]Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. IEEE Access 6: 65333-65346 (2018) - 2017
- [j5]Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes:
Daehr: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders. ACM Trans. Intell. Syst. Technol. 8(3): 47:1-47:21 (2017) - 2016
- [j4]Xuelian Wan, Jinghe Zhang:
基于攻、防的信息系统安全综合评估方法的研究 (Research on Comprehensive Assessment Method of Information System Security Based on System Attack and Defense). 计算机科学 43(Z6): 322-327 (2016) - 2015
- [j3]Bichen Zheng, Jinghe Zhang, Sang Won Yoon, Sarah S. Lam, Mohammad T. Khasawneh, Srikanth Poranki:
Predictive modeling of hospital readmissions using metaheuristics and data mining. Expert Syst. Appl. 42(20): 7110-7120 (2015) - [j2]Warodom Khamphanchai, Manisa Pipattanasomporn, Murat Kuzlu, Jinghe Zhang, Saifur Rahman:
An Approach for Distribution Transformer Management With a Multiagent System. IEEE Trans. Smart Grid 6(3): 1208-1218 (2015) - 2011
- [j1]Yunlian Jiang, Kai Tian, Xipeng Shen, Jinghe Zhang, Jie Chen, Rahul Tripathi:
The Complexity of Optimal Job Co-Scheduling on Chip Multiprocessors and Heuristics-Based Solutions. IEEE Trans. Parallel Distributed Syst. 22(7): 1192-1205 (2011)
Conference and Workshop Papers
- 2020
- [c8]Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. BIBM 2020: 885-892 - 2017
- [c7]Jinghe Zhang, Jiaqi Gong, Laura E. Barnes:
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. CHASE 2017: 214-221 - 2015
- [c6]Jinghe Zhang, Hao Wu, James Turner, Adrienne Keller, Laura E. Barnes:
Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data. AMIA 2015 - [c5]Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes:
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. IEEE BigData 2015: 2569-2577 - [c4]Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh K. Sharma, Naren Ramakrishnan:
Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression. KDD 2015: 2009-2018 - 2011
- [c3]Jinghe Zhang, Greg Welch, Gary Bishop:
Power system state estimation with dynamic optimal measurement selection. CIASG 2011: 90-95 - [c2]Edgar J. Lobaton, Jinghe Zhang, Sachin Patil, Ron Alterovitz:
Planning curvature-constrained paths to multiple goals using circle sampling. ICRA 2011: 1463-1469 - 2010
- [c1]Jinghe Zhang, Greg Welch, Gary Bishop, Zhenyu Huang:
Optimal PMU placement evaluation for power system dynamic state estimation. ISGT Europe 2010: 1-7
Informal and Other Publications
- 2020
- [i2]Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. CoRR abs/2011.04802 (2020) - 2018
- [i1]Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. CoRR abs/1810.04793 (2018)
Coauthor Index
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