Jingqing Zhang

According to our database, Jingqing Zhang authored at least 19 papers between 2012 and 2024.

Collaborative distances:

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

2024

The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant.

Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo

J. Am. Medical Informatics Assoc., 2024

BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation.

Tianyi Wu, Jingqing Zhang, Wenjia Bai, Kai Sun

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant.

Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo

CoRR, 2023

2022

Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint.

Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo

CoRR, 2022

A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases.

Jingqing Zhang, Atri Sharma, Luis Bolanos, Tong Li, Ashwani Tanwar, Vibhor Gupta, Yike Guo

CoRR, 2022

Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge.

Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo

CoRR, 2022

Identification of potential therapeutic targets and mechanisms of COVID-19 through network analysis and screening of chemicals and herbal ingredients.

Hong Wang, Jingqing Zhang, Zhigang Lu, Weina Dai, Chuanjiang Ma, Yun Xiang, Yonghong Zhang

Briefings Bioinform., 2022

2021

Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases.

Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo

CoRR, 2021

Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.

Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization.

Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification.

Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification.

Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records.

Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction.

Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation.

Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Sequence Learning with Auxiliary Information for Traffic Prediction.

Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Deep Poincare Map For Robust Medical Image Segmentation.

Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo

CoRR, 2017

I2T2I: Learning text to image synthesis with textual data augmentation.

Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2012

NoRSE: noise reduction and state evaluator for high-frequency single event traces.

Nigel F. Reuel, Peter Bojo, Jingqing Zhang, Ardemis A. Boghossian, Jin-Ho Ahn, Jong-Ho Kim, Michael S. Strano

Bioinform., 2012