Wenqi Shi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 60

Top Topics

Image Generation

Top Venues

Publications

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR (2024)
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl J. Yang, May D. Wang
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR (2024)
Hang Wu, Wenqi Shi, May D. Wang
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR (2024)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) (2024)
Wenqi Shi, Wenkai Xu
Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI (2023)
Micky C. Nnamdi, Wenqi Shi, Ben Junior Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI (2023)
Felipe O. Giuste, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, Arshawn Mohseni, Yuanda Zhu, Wenqi Shi, Benoit Marteau, Yishan Zhong, Li Tong, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 139 (2023)
Amritpal Singh, Wenqi Shi, May D. Wang
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR (2023)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR (2023)
Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang
Latent Topic Extraction as a Source of Labeling in Natural Language Processing. BIBM (2023)
Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau
Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. BIBM (2023)
Ben Junior Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang
Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM (2023)
Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. BHI (2023)
Wenqi Shi, Benoit Louis Marteau, Felipe O. Giuste, May Dongmei Wang
Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. BCB (2023)
Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang
Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. BIBM (2023)
Amritpal Singh, Wenqi Shi, May D. Wang
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM (2023)
Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
Multiuser Co-Inference With Batch Processing Capable Edge Server. IEEE Trans. Wirel. Commun. 22 (1) (2023)
Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang
Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. BIBM (2023)
Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang
Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. BIBM (2023)
Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB (2023)
Ben Junior Tamo, Wenqi Shi, Yuanda Zhu, Micky C. Nnamdi, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. BCB (2023)
Micky C. Nnamdi, Ben Junior Tamo, Sara Stackpole, Wenqi Shi, Benoit Marteau, May Dongmei Wang
Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. BCB (2023)
Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang
Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. BIBM (2022)
Yuheng Li, Jieh Sheng Hsu, Noaima Bari, Xu Qiu, Malvika Viswanathan, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang
Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images. BIBE (2022)
Wenqi Shi, Shuai Yuan, Chengyu Liu, Yuxian Ma, Ning Xu, Xianqing Lv
Inversion of Sea Ice Concentration in the Liaodong Bay from MODIS Data. Remote. Sens. 14 (18) (2022)
Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
Multi-user Co-inference with Batch Processing Capable Edge Server. CoRR (2022)
Wenqi Shi, Wenkai Xu
Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR (2022)
Andrew Hornback, Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Coleman Hilton, Vinieth N. Bijanki, Hiram Stahl, Gary S. Gottesman, Chad Purnell, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. BCB (2022)
Aekansh Goel, Zachary Mudge, Sarah Bi, Charles Brenner, Nicholas Huffman, Felipe O. Giuste, Benoit Marteau, Wenqi Shi, May D. Wang
Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. BCB (2022)
Beom J. Lee, Sarkis T. Martirosyan, Zaid Khan, Han Y. Chiu, Zun Wang, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang
Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection. BIBE (2022)
Pei Zhou, Xiangyang Luo, Shaoyong Du, Wenqi Shi, Jiashan Guo
A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning. ICBDS (2022)
Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang
Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. BIBE (2022)
Benoit Marteau, Yuanda Zhu, Felipe O. Giuste, Wenqi Shi, Ashley M. Carpenter, Coleman Hilton, May D. Wang
Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. EMBC (2022)
Yuxian Ma, Bin Cheng, Ning Xu, Shuai Yuan, Honghua Shi, Wenqi Shi
Long-Term Ice Conditions in Yingkou, a Coastal Region Northeast of the Bohai Sea, between 1951/1952 and 2017/2018: Modeling and Observations. Remote. Sens. 14 (1) (2022)
Wenqi Shi, Yuxuan Sun, Sheng Zhou, Zhisheng Niu
Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints. SPAWC (2021)
Jiadong Guo, Rui Xu, Wenqi Shi, Pei Zhou, Xiangyang Luo
Instant messaging user geolocating method based on multi-source information association. Int. J. Sens. Networks 35 (2) (2021)
Wenqi Shi, Mitali S. Gupte, May D. Wang
Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. BHI (2021)
Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang
Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. BHI (2021)
Wenqi Shi, Xiangyang Luo, Jiadong Guo, Chong Liu, Fenlin Liu
Where Are WeChat Users: A Geolocation Method Based on User Missequence State Analysis. IEEE Trans. Comput. Soc. Syst. 8 (2) (2021)
Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR (2021)
Asim H. Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang
Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. BHI (2021)
Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang
A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. BIBM (2021)
Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. IEEE Trans. Wirel. Commun. 20 (1) (2021)
Wenqi Shi, Sheng Zhou, Zhisheng Niu
Device Scheduling with Fast Convergence for Wireless Federated Learning. ICC (2020)
Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. CoRR (2020)
Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu
Edge Learning with Timeliness Constraints: Challenges and Solutions. CoRR (2020)
Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu
Edge Learning with Timeliness Constraints: Challenges and Solutions. IEEE Commun. Mag. 58 (12) (2020)
Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB (2020)
Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. CoRR (2019)
Wenqi Shi, Sheng Zhou, Zhisheng Niu
Device Scheduling with Fast Convergence for Wireless Federated Learning. CoRR (2019)
Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. INFOCOM Workshops (2019)
Fan Zhao, Wenqi Shi, Yong Gan, Ziru Peng, Xiangyang Luo
A localization and tracking scheme for target gangs based on big data of Wi-Fi locations. Clust. Comput. 22 (Suppl 1) (2019)
Wenqi Shi, Xiangyang Luo, Fan Zhao, Ziru Peng, Qingfeng Cheng, Yong Gan
Geolocating a WeChat user based on the relation between reported and actual distance. Int. J. Distributed Sens. Networks 14 (4) (2018)
Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu
Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction. ICIP (2018)
Qijian Zhang, Libao Zhang, Wenqi Shi, Yue Liu
Airport Extraction via Complementary Saliency Analysis and Saliency-Oriented Active Contour Model. IEEE Geosci. Remote. Sens. Lett. 15 (7) (2018)
Mingyue Li, Xiangyang Luo, Wenqi Shi, Lixiang Chai
City-level IP geolocation based on network topology community detection. ICOIN (2017)
Wenqi Shi, Xiangyang Luo, Fan Zhao, Ziru Peng, Yong Gan
A WeChat User Geolocating Algorithm Based on the Relation Between Reported and Actual Distance. CSS (2017)
Wenqi Shi, John A. Barnden
How to Combine CBR and RBR for Diagnosing Multiple Medical Disorder Cases. ICCBR (2005)
Wenqi Shi, John A. Barnden
Using Inductive Rules in Medical Case-Based Reasoning System. MICAI (2005)
Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister
An Intelligent Diagnosis System Handling Multiple Disorders. Intelligent Information Processing (2004)
Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden
Case-Based Approaches for Diagnosing Multiple Disorders. FLAIRS Conference (2004)