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ORCIDJingqing Zhang
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2020 – today
- 2024
[j3]Jingqing Zhang
, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo:
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. J. Am. Medical Informatics Assoc. 31(9): 1884-1891 (2024)- [c10]Tianyi Wu, Jingqing Zhang, Wenjia Bai, Kai Sun:
BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation. BioNLP@ACL 2024: 328-341 - 2023
- [i13]Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo:
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant. CoRR abs/2307.08152 (2023) - 2022
- [j2]Hong Wang, Jingqing Zhang, Zhigang Lu, Weina Dai, Chuanjiang Ma, Yun Xiang, Yonghong Zhang:
Identification of potential therapeutic targets and mechanisms of COVID-19 through network analysis and screening of chemicals and herbal ingredients. Briefings Bioinform. 23(1) (2022) - [i12]Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo:
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge. CoRR abs/2204.10202 (2022) - [i11]Jingqing Zhang, Atri Sharma, Luis Bolanos, Tong Li, Ashwani Tanwar, Vibhor Gupta, Yike Guo:
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases. CoRR abs/2205.08891 (2022) - [i10]Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo:
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint. CoRR abs/2205.12368 (2022) - 2021
- [c9]Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. EMNLP (1) 2021: 8754-8769 - [i9]Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo:
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases. CoRR abs/2107.11665 (2021) - [i8]Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. CoRR abs/2109.01935 (2021) - 2020
- [c8]Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu:
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. ICML 2020: 11328-11339
2010 – 2019
- 2019
- [c7]Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. BIBM 2019: 598-603 - [c6]Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. BIBM 2019: 765-769 - [c5]Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT (1) 2019: 1031-1040 - [i7]Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. CoRR abs/1903.12626 (2019) - [i6]Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. CoRR abs/1908.06278 (2019) - [i5]Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. CoRR abs/1911.03862 (2019) - [i4]Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu:
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. CoRR abs/1912.08777 (2019) - 2018
- [c4]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. KDD 2018: 537-546 - [c3]Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo:
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. MICCAI (4) 2018: 561-568 - [c2]Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu:
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction. ACM Multimedia 2018: 1883-1891 - [i3]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. CoRR abs/1806.07380 (2018) - 2017
- [c1]Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo:
I2T2I: Learning text to image synthesis with textual data augmentation. ICIP 2017: 2015-2019 - [i2]Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo:
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation. CoRR abs/1703.06676 (2017) - [i1]Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo:
Deep Poincare Map For Robust Medical Image Segmentation. CoRR abs/1703.09200 (2017) - 2012
- [j1]Nigel F. Reuel, Peter Bojo, Jingqing Zhang, Ardemis A. Boghossian, Jin-Ho Ahn, Jong-Ho Kim, Michael S. Strano:
NoRSE: noise reduction and state evaluator for high-frequency single event traces. Bioinform. 28(2): 296-297 (2012)
Coauthor Index
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