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Jingqing Zhang
Jingqing Zhang
Head of AI at Pangaea Data
Verified email at pangaeadata.ai - Homepage
Title
Cited by
Cited by
Year
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
J Zhang, Y Zhao, M Saleh, PJ Liu
International Conference on Machine Learning, 11328--11339, 2020
18492020
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
B Liao, J Zhang, C Wu, D McIlwraith, T Chen, S Yang, Y Guo, F Wu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
2172018
Deep Reinforcement Learning
H Dong, Z Ding, S Zhang, H Yuan, H Zhang, J Zhang, Y Huang, T Yu, ...
Springer Singapore, 2020
2022020
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
J Zhang, P Lertvittayakumjorn, Y Guo
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1332019
I2T2I: Learning text to image synthesis with textual data augmentation
H Dong, J Zhang, D McIlwraith, Y Guo
International Conference on Image Processing 2017 (ICIP), 2017
672017
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
X Zhang, J Zhang, K Sun, X Yang, C Dai, Y Guo
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
622019
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction
B Liao, J Zhang, M Cai, S Tang, Y Gao, C Wu, S Yang, W Zhu, Y Guo, ...
Proceedings of the 2018 ACM on Multimedia Conference, 2018
382018
The deep poincaré map: A novel approach for left ventricle segmentation
Y Mo, F Liu, D McIlwraith, G Yang, J Zhang, T He, Y Guo
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
352018
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
J Zhang, L Bolanos, T Li, A Tanwar, G Freire, X Yang, J Ive, V Gupta, ...
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
142021
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
J Zhang, X Zhang, K Sun, X Yang, C Dai, Y Guo
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
72019
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
J Zhang, K Sun, A Jagadeesh, M Ghahfarokhi, D Gupta, A Gupta, V Gupta, ...
arXiv preprint arXiv:2307.08152, 2023
62023
Introduction to deep learning
J Zhang, H Yuan, H Dong
Deep Reinforcement Learning: Fundamentals, Research, and Applications, 3-46, 2020
62020
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
A Tanwar, J Zhang, J Ive, V Gupta, Y Guo
Multimodal AI in Healthcare, 11--28, 2023
32023
Clinical utility of the automatic phenotype annotation in unstructured clinical notes: ICU use cases
J Zhang, L Bolanos, A Tanwar, J Ive, V Gupta, Y Guo
arXiv preprint arXiv:2107.11665, 2021
32021
Deep poincaré map for robust medical image segmentation
Y Mo, F Liu, J Zhang, G Yang, T He, Y Guo
arXiv preprint arXiv 1703, 2017
32017
Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use
J Zhang, LDB Trujillo, A Tanwar, J Ive, V Gupta, Y Guo
BMJ Health & Care Informatics 29 (1), 2022
22022
Automating question-and-answer session capture using neural networks
YGZ Wei, J Zhang
2019 KDD workshop on deep learning for education, DL4ed, 2019
22019
Phenotyping in clinical text with unsupervised numerical reasoning for patient stratification
A Tanwar, J Zhang, J Ive, V Gupta, Y Guo
Experimental Biology and Medicine, 15353702221118092, 2022
12022
Medical scientific table-to-text generation with human-in-the-loop under the data sparsity constraint
HY Wu, J Zhang, J Ive, T Li, V Gupta, B Chen, Y Guo
arXiv preprint arXiv:2205.12368, 2022
12022
A scalable workflow to build machine learning classifiers with clinician-in-the-loop to identify patients in specific diseases
J Zhang, A Sharma, L Bolanos, T Li, A Tanwar, V Gupta, Y Guo
arXiv preprint arXiv:2205.08891, 2022
12022
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