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ORCIDWenqi Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j14]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): 137 (2024)- [j13]Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang:
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach. BMC Medical Informatics Decis. Mak. 24(1): 275 (2024) - [c44]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) 2024: 754-765 - [c43]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) 2024: 15496-15523 - [c42]J. Ben Tamo
, Micky C. Nnamdi, Andrew Hornback, Matthew Chen, Wenqi Shi, Yuanda Zhu, Henry J. Iwinski, May D. Wang:
Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. BCB 2024: 6:1-6:10 - [c41]Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, Benoit Marteau, Anant Madabhushi, May D. Wang:
Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. EMBC 2024: 1-5 - [c40]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP 2024: 22234-22254 - [c39]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP 2024: 22294-22314 - [c38]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang:
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [i13]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i12]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 abs/2403.00815 (2024) - [i11]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 abs/2404.18443 (2024) - [i10]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 abs/2405.03000 (2024) - 2023
- [j12]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: 104303 (2023) - [j11]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): 286-300 (2023) - [c37]Junior Ben 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: 2:1-2:10 - [c36]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: 14:1-14:10 - [c35]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: 28:1-28:6 - [c34]Micky C. Nnamdi, Junior Ben 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: 39:1-39:6 - [c33]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: 1-4 - [c32]Micky C. Nnamdi, Wenqi Shi, Junior Ben Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang:
Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI 2023: 1-4 - [c31]Amritpal Singh, Wenqi Shi, May D. Wang:
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM 2023: 1-6 - [c30]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: 2044-2047 - [c29]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: 3348-3353 - [c28]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: 4124-4131 - [c27]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: 4235-4242 - [c26]Junior Ben 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: 4243-4250 - [c25]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: 4312-4319 - [c24]Wenqi Shi, Wenkai Xu:
Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI 2023: 1942-1952 - [i9]Amritpal Singh, Wenqi Shi, May D. Wang:
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR abs/2309.00837 (2023) - [i8]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 abs/2311.00287 (2023) - 2022
- [j10]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): 182 (2022) - [j9]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): 4439 (2022) - [c23]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: 23:1-23:10 - [c22]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: 45:1-45:5 - [c21]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: 11-16 - [c20]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: 158-163 - [c19]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: 168-173 - [c18]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: 2808-2815 - [c17]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: 4687-4690 - [c16]Pei Zhou, Xiangyang Luo, Shaoyong Du, Wenqi Shi, Jiashan Guo:
A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning. ICBDS 2022: 63-79 - [i7]Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng:
Multi-user Co-inference with Batch Processing Capable Edge Server. CoRR abs/2206.06304 (2022) - [i6]Wenqi Shi, Wenkai Xu:
Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR abs/2210.16775 (2022) - 2021
- [j8]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): 99-110 (2021) - [j7]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): 319-331 (2021) - [j6]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): 2376-2387 (2021) - [j5]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): 453-467 (2021) - [c15]Asim Hossain 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: 1-4 - [c14]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: 1-4 - [c13]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: 1-4 - [c12]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: 1524-1527 - [c11]Wenqi Shi, Yuxuan Sun, Sheng Zhou, Zhisheng Niu:
Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints. SPAWC 2021: 596-600 - [i5]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 abs/2112.12705 (2021) - 2020
- [j4]Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu:
Edge Learning with Timeliness Constraints: Challenges and Solutions. IEEE Commun. Mag. 58(12): 27-33 (2020) - [c10]Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang:
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB 2020: 36:1-36:6 - [c9]Wenqi Shi, Sheng Zhou, Zhisheng Niu:
Device Scheduling with Fast Convergence for Wireless Federated Learning. ICC 2020: 1-6 - [i4]Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng:
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. CoRR abs/2007.07174 (2020) - [i3]Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu:
Edge Learning with Timeliness Constraints: Challenges and Solutions. CoRR abs/2009.11065 (2020)
2010 – 2019
- 2019
- [j3]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): 1679-1690 (2019) - [c8]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: 1-6 - [i2]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 abs/1903.03472 (2019) - [i1]Wenqi Shi, Sheng Zhou, Zhisheng Niu:
Device Scheduling with Fast Convergence for Wireless Federated Learning. CoRR abs/1911.00856 (2019) - 2018
- [j2]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) - [j1]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): 1085-1089 (2018) - [c7]Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu:
Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction. ICIP 2018: 3059-3063 - 2017
- [c6]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: 223-235 - [c5]Mingyue Li, Xiangyang Luo, Wenqi Shi, Lixiang Chai:
City-level IP geolocation based on network topology community detection. ICOIN 2017: 578-583
2000 – 2009
- 2005
- [c4]Wenqi Shi, John A. Barnden:
How to Combine CBR and RBR for Diagnosing Multiple Medical Disorder Cases. ICCBR 2005: 477-491 - [c3]Wenqi Shi, John A. Barnden:
Using Inductive Rules in Medical Case-Based Reasoning System. MICAI 2005: 900-909 - 2004
- [c2]Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden:
Case-Based Approaches for Diagnosing Multiple Disorders. FLAIRS 2004: 154-159 - [c1]Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister:
An Intelligent Diagnosis System Handling Multiple Disorders. Intelligent Information Processing 2004: 421-430
Coauthor Index
May D. Wang
aka: May Dongmei Wang
aka: May Dongmei Wang
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