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)

I2T2I: Learning text to image synthesis with textual data augmentation. - Hao Dong 003; Jingqing Zhang; Douglas McIlwraith; Yike Guo (ICIP, 2017)

Deep Poincare Map For Robust Medical Image Segmentation. - Yuanhan Mo; Fangde Liu; Jingqing Zhang; Guang Yang 006; Taigang He; Yike Guo (CoRR, 2017)

Deep Sequence Learning with Auxiliary Information for Traffic Prediction. - Binbing Liao; Jingqing Zhang; Chao Wu 001; Douglas McIlwraith; Tong Chen 006; Shengwen Yang; Yike Guo; Fei Wu 001 (KDD, 2018)

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. - Yuanhan Mo; Fangde Liu; Douglas McIlwraith; Guang Yang 006; Jingqing Zhang; Taigang He; Yike Guo (MICCAI (4), 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 001; Shengwen Yang; Wenwu Zhu 001; Yike Guo; Fei Wu 001 (ACM Multimedia, 2018)

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. - Jingqing Zhang; Xiaoyu Zhang 008; Kai Sun 005; Xian Yang 001; Chengliang Dai; Yike Guo (BIBM, 2019)

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. - Xiaoyu Zhang 008; Jingqing Zhang; Kai Sun 005; Xian Yang 001; Chengliang Dai; Yike Guo (BIBM, 2019)

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. - Jingqing Zhang; Piyawat Lertvittayakumjorn; Yike Guo (NAACL-HLT (1), 2019)

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. - Jingqing Zhang; Yao Zhao; Mohammad Saleh; Peter J. Liu (ICML, 2020)

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 001; Julia Ive; Vibhor Gupta; Yike Guo (EMNLP (1), 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)

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)

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)

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)

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)

The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant. - Jingqing Zhang; Kai Sun 005; Akshay Jagadeesh; Mahta Ghahfarokhi; Deepa Gupta; Ashok Gupta; Vibhor Gupta; Yike Guo (CoRR, 2023)

BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation. - Tianyi Wu; Jingqing Zhang; Wenjia Bai; Kai Sun (BioNLP@ACL, 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 005; 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)

A Systematic Comparison of Horizontal Federated Learning Algorithm Based on Random Forests in a Medical Setting. - Andrew Cheng; Jingqing Zhang; Atri Sharma; Vibhor Gupta; Yike Guo (Int. J. Autom. Comput., 2025)