Wenqi Shi - RankMe

113 papers A* 3A 1B 1C 5Misc 1Journal 58Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Virtual Probe Deployment Method Based on User Behavioral Feature Analysis. Comput. Mater. Continua Bing Zhang, Wenqi Shi
2026	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. IEEE Trans. Educ. Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang
2026	J	`jnl`	Deep reflective reasoning in interdependence constrained structured data extraction from clinical notes for digital health. CoRR Jingwei Huang, Kuroush Nezafati, Zhikai Chi, Ruichen Rong, Colin Treager, Tingyi Wanyan, Yueshuang Xu, Xiaowei Zhan, Patrick Leavey, Guanghua Xiao, Wenqi Shi, Yang Xie
2026	J	`jnl`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. CoRR Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May D. Wang
2026	J	`jnl`	LLM-as-RNN: A Recurrent Language Model for Memory Updates and Sequence Prediction. CoRR Yuxing Lu, J. Ben Tamo, Weichen Zhao, Nan Sun, Yishan Zhong, Wenqi Shi, Jinzhuo Wang, May D. Wang
2026	J	`jnl`	MEDVISTAGYM: A Scalable Training Environment for Thinking with Medical Images via Tool-Integrated Reinforcement Learning. CoRR Meng Lu, Yuxing Lu, Yuchen Zhuang, Megan Mullins, Yang Xie, Guanghua Xiao, Charles Fleming, Wenqi Shi, Xuan Wang
2026	J	`jnl`	Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning. CoRR Hang Zhang, Ruheng Wang, Yuelyu Ji, Min Gu Kwak, Xizhi Wu, Chenyu Li, Li Zhang, Wenqi Shi, Yifan Peng, Yanshan Wang
2026	—	`conf`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. EACL (Findings) Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2025	J	`jnl`	AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play. CoRR Ran Xu, Yuchen Zhuang, Zihan Dong, Jonathan Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
2025	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. CoRR Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, May D. Wang
2025	J	`jnl`	Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. IEEE J. Biomed. Health Informatics Cheng Wan, Micky C. Nnamdi, Wenqi Shi, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	J	`jnl`	An Efficient Internet-Wide Scan Approach Based on Location Awareness. Future Internet Wenqi Shi, Huiling Shi, Hao Hao, Qiuyu Guan
2025	J	`jnl`	AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training. CoRR Zhenyu Han, Ansheng You, Haibo Wang, Kui Luo, Guang Yang, Wenqi Shi, Menglong Chen, Sicheng Zhang, Zeshun Lan, Chunshi Deng, Huazhong Ji, Wenjie Liu, Yu Huang, Yixiang Zhang, Chenyi Pan, Jing Wang, Xin Huang, Chunsheng Li, Jianping Wu
2025	J	`jnl`	AsyncHZP: Hierarchical ZeRO Parallelism with Asynchronous Scheduling for Scalable LLM Training. CoRR Huawei Bai, Yifan Huang, Wenqi Shi, Ansheng You, Feifan Shao, Tengfei Han, Minghui Yu
2025	J	`jnl`	Causal Machine Learning for Surgical Interventions. CoRR J. Ben Tamo, Nishant S. Chouhan, Micky C. Nnamdi, Yining Yuan, Shreya S. Chivilkar, Wenqi Shi, Steven W. Hwang, B. Randall Brenn, May D. Wang
2025	J	`jnl`	CellForge: Agentic Design of Virtual Cell Models. CoRR Xiangru Tang, Zhuoyun Yu, Jiapeng Chen, Yan Cui, Daniel Shao, Weixu Wang, Fang Wu, Yuchen Zhuang, Wenqi Shi, Zhi Huang, Arman Cohan, Xihong Lin, Fabian J. Theis, Smita Krishnaswamy, Mark Gerstein
2025	J	`jnl`	Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. CoRR Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C. Ho, Haoyu Wang, Carl Yang
2025	—	`conf`	Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. BCB Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May Dongmei Wang
2025	J	`jnl`	Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. CoRR Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May D. Wang
2025	C	`conf`	Echoes of Movement: A LINE User Geolocation Method Based on Probe Position Adaptive Adjustment. WoWMoM Yiyang Shi, Wenqi Shi, Xiangyang Luo, Ruiting Liu, Bing Zhang, Junchao Cui
2025	J	`jnl`	EfficientMoE: Optimizing Mixture-of-Experts Model Training With Adaptive Load Balance. IEEE Trans. Parallel Distributed Syst. Yan Zeng, Chengchuang Huang, Yipeng Mei, Lifu Zhang, Teng Su, Wei Ye, Wenqi Shi, Shengnan Wang
2025	J	`jnl`	Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. IEEE J. Biomed. Health Informatics Hang Wu, Yuanda Zhu, Wenqi Shi, Li Tong, May D. Wang
2025	—	`conf`	From Association to Mechanism: Causal Graph-Based Fine-Mapping of Regulatory SNPs for Functional Validation. BCB Nishant Singh Chouhan, J. Ben Tamo, Oankar R. Patil, Wenqi Shi, Micky C. Nnamdi, Steven Randall Hwang, Kamran W. Shazand, May Dongmei Wang
2025	J	`jnl`	From Crowds to Coordinates: A user density-distance dynamic transformation method for Telegram users geolocalization. Comput. Networks Yiyang Shi, Xiangyang Luo, Wenqi Shi
2025	—	`conf`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. BCB Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May Dongmei Wang
2025	J	`jnl`	MENDR: Manifold Explainable Neural Data Representations. CoRR Matthew Chen, Micky C. Nnamdi, Justin Shao, Andrew Hornback, HongYun Huang, J. Ben Tamo, Yishan Zhong, Benoit Marteau, Wenqi Shi, May Dongmei Wang
2025	J	`jnl`	MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. CoRR Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Xiangru Tang, Hang Wu, May D. Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Carl Yang, Yang Xie, Wenqi Shi
2025	J	`jnl`	MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning. CoRR Xiangru Tang, Daniel Shao, Jiwoong Sohn, Jiapeng Chen, Jiayi Zhang, Jinyu Xiang, Fang Wu, Yilun Zhao, Chenglin Wu, Wenqi Shi, Arman Cohan, Mark Gerstein
2025	—	`conf`	MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. WWW (Companion Volume) Ran Xu, Wenqi Shi, Jonathan Wang, Jasmine Zhou, Carl Yang
2025	—	`conf`	Multi-Agent LLM Reasoning for Clinical Procedure Sequencing from High-Granularity EHR Data. BCB Yishan Zhong, Wenqi Shi, J. Ben Tamo, Micky C. Nnamdi, Yining Yuan, May Dongmei Wang
2025	J	`jnl`	Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. CoRR Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Yanye Lu, Qiushi Ren
2025	J	`jnl`	Novel extraction of discriminative fine-grained feature to improve retinal vessel segmentation. Image Vis. Comput. Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Lei Zhu, Yanye Lu, Qiushi Ren
2025	J	`jnl`	Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards. CoRR Aaron Tu, Weihao Xuan, Heli Qi, Xu Huang, Qingcheng Zeng, Shayan Talaei, Yijia Xiao, Peng Xia, Xiangru Tang, Yuchen Zhuang, Bing Hu, Hanqun Cao, Wenqi Shi, Tianang Leng, Rui Yang, Yingjian Chen, Ziqi Wang, Irene Li, Nan Liu, Huaxiu Yao, Li Erran Li, Ge Liu, Amin Saberi, Naoto Yokoya, Jure Leskovec, Yejin Choi, Fang Wu
2025	J	`jnl`	RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. CoRR Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang
2025	J	`jnl`	SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes. J. Am. Medical Informatics Assoc. Zifan Gu, Lesi He, Awais Naeem, Pui Man Chan, Asim Mohamed, Hafsa Khalil, Yujia Guo, Jingwei Huang, Ismael Villanueva-Miranda, Ying Ding, Wenqi Shi, Matthew E. Dupre, Guanghua Xiao, Eric D. Peterson, Yang Xie, Ann Marie Navar, Donghan M. Yang
2025	J	`jnl`	Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. CoRR Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025	J	`jnl`	UeLP: accurate user linkage across social platforms against location errors. Comput. J. Ruiting Liu, Ruixiang Li, Wenqi Shi, Shaoyong Du, Yimin Liu, Xiangyang Luo
2025	J	`jnl`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. CoRR Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2024	A*	`conf`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024	J	`jnl`	Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach. BMC Medical Informatics Decis. Mak. Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang
2024	—	`conf`	Confidence-Calibrated Clinical Decision Support System for Reliable Respiratory Disease Screening. BHI Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, Vivek K. Chundru, Benoit Marteau, Oankar R. Patil, May D. Wang
2024	J	`jnl`	Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. BMC Medical Informatics Decis. Mak. Hang Wu, Wenqi Shi, May D. Wang
2024	J	`jnl`	EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024	A*	`conf`	EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang
2024	—	`conf`	Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. BCB J. Ben Tamo, Micky C. Nnamdi, Andrew Hornback, Matthew Chen, Wenqi Shi, Yuanda Zhu, Henry J. Iwinski, May D. Wang
2024	—	`conf`	Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. EMBC Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, Benoit Marteau, Anant Madabhushi, May D. Wang
2024	—	`conf`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang
2024	—	`conf`	Live Demonstration: YuPei: A Flexible, Wireless, Multi-Physiological Parameters Wearable Device for NICU. BioCAS Wenqi Shi, Lanlan Mi, Zisheng Dai, Cheng Chen, Wenyi Luo, Weiwei Guo, Guoxing Wang
2024	—	`conf`	MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications. EMNLP (System Demonstrations) Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein
2024	A*	`conf`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang
2024	J	`jnl`	MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
2024	—	`conf`	Quantitative Explainability Study of Deformable Convolutional Neural Networks using Chest X-rays. BIBM Vivek K. Chundru, M. Sait Kilinc, Anthony Lim, Micky C. Nnamdi, Yishan Zhong, Wenqi Shi, May D. Wang
2024	—	`conf`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang
2024	J	`jnl`	RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
2023	—	`conf`	Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. BCB Junior Ben Tamo, Wenqi Shi, Yuanda Zhu, Micky C. Nnamdi, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
2023	J	`jnl`	Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR Amritpal Singh, Wenqi Shi, May D. Wang
2023	—	`conf`	Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. BCB Wenqi Shi, Benoit Louis Marteau, Felipe O. Giuste, May Dongmei Wang
2023	—	`conf`	Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI Micky C. Nnamdi, Wenqi Shi, Junior Ben Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
2023	—	`conf`	Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. BIBM Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang
2023	—	`conf`	Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. BIBM Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang
2023	J	`jnl`	Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 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
2023	—	`conf`	Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. BIBM Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang
2023	J	`jnl`	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. CoRR Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
2023	—	`conf`	Latent Topic Extraction as a Source of Labeling in Natural Language Processing. BIBM Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang
2023	A	`conf`	Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI Wenqi Shi, Wenkai Xu
2023	—	`conf`	Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. BCB Micky C. Nnamdi, Junior Ben Tamo, Sara Stackpole, Wenqi Shi, Benoit Marteau, May Dongmei Wang
2023	—	`conf`	Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM Amritpal Singh, Wenqi Shi, May D. Wang
2023	J	`jnl`	Multiuser Co-Inference With Batch Processing Capable Edge Server. IEEE Trans. Wirel. Commun. Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
2023	—	`conf`	Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. BIBM Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau
2023	—	`conf`	Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. BHI Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
2023	—	`conf`	Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
2023	—	`conf`	Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM Junior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang
2022	—	`conf`	A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning. ICBDS Pei Zhou, Xiangyang Luo, Shaoyong Du, Wenqi Shi, Jiashan Guo
2022	—	`conf`	Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. EMBC Benoit Marteau, Yuanda Zhu, Felipe O. Giuste, Wenqi Shi, Ashley M. Carpenter, Coleman Hilton, May D. Wang
2022	C	`conf`	Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection. BIBE 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
2022	—	`conf`	Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. BIBM Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang
2022	—	`conf`	Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. BCB 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
2022	—	`conf`	Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. BCB Aekansh Goel, Zachary Mudge, Sarah Bi, Charles Brenner, Nicholas Huffman, Felipe O. Giuste, Benoit Marteau, Wenqi Shi, May D. Wang
2022	C	`conf`	Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images. BIBE Yuheng Li, Jieh Sheng Hsu, Noaima Bari, Xu Qiu, Malvika Viswanathan, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang
2022	J	`jnl`	Inversion of Sea Ice Concentration in the Liaodong Bay from MODIS Data. Remote. Sens. Wenqi Shi, Shuai Yuan, Chengyu Liu, Yuxian Ma, Ning Xu, Xianqing Lv
2022	J	`jnl`	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. Yuxian Ma, Bin Cheng, Ning Xu, Shuai Yuan, Honghua Shi, Wenqi Shi
2022	C	`conf`	Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. BIBE Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang
2022	J	`jnl`	Multi-user Co-inference with Batch Processing Capable Edge Server. CoRR Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
2022	J	`jnl`	Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR Wenqi Shi, Wenkai Xu
2021	—	`conf`	A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. BIBM Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang
2021	—	`conf`	Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. BHI Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang
2021	J	`jnl`	COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang
2021	—	`conf`	Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints. SPAWC Wenqi Shi, Yuxuan Sun, Sheng Zhou, Zhisheng Niu
2021	J	`jnl`	Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang
2021	J	`jnl`	Instant messaging user geolocating method based on multi-source information association. Int. J. Sens. Networks Jiadong Guo, Rui Xu, Wenqi Shi, Pei Zhou, Xiangyang Luo
2021	J	`jnl`	Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. IEEE Trans. Wirel. Commun. Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
2021	—	`conf`	Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. BHI Wenqi Shi, Mitali S. Gupte, May D. Wang
2021	—	`conf`	Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. BHI Asim Hossain Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang
2021	J	`jnl`	Where Are WeChat Users: A Geolocation Method Based on User Missequence State Analysis. IEEE Trans. Comput. Soc. Syst. Wenqi Shi, Xiangyang Luo, Jiadong Guo, Chong Liu, Fenlin Liu
2020	—	`conf`	Device Scheduling with Fast Convergence for Wireless Federated Learning. ICC Wenqi Shi, Sheng Zhou, Zhisheng Niu
2020	—	`conf`	EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
2020	J	`jnl`	Edge Learning with Timeliness Constraints: Challenges and Solutions. IEEE Commun. Mag. Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu
2020	J	`jnl`	Edge Learning with Timeliness Constraints: Challenges and Solutions. CoRR Yuxuan Sun, Wenqi Shi, Xiufeng Huang, Sheng Zhou, Zhisheng Niu
2020	J	`jnl`	Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning. CoRR Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
2019	J	`jnl`	A localization and tracking scheme for target gangs based on big data of Wi-Fi locations. Clust. Comput. Fan Zhao, Wenqi Shi, Yong Gan, Ziru Peng, Xiangyang Luo
2019	J	`jnl`	Device Scheduling with Fast Convergence for Wireless Federated Learning. CoRR Wenqi Shi, Sheng Zhou, Zhisheng Niu
2019	—	`conf`	Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. INFOCOM Workshops Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng
2019	J	`jnl`	Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. CoRR Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng
2018	J	`jnl`	Airport Extraction via Complementary Saliency Analysis and Saliency-Oriented Active Contour Model. IEEE Geosci. Remote. Sens. Lett. Qijian Zhang, Libao Zhang, Wenqi Shi, Yue Liu
2018	J	`jnl`	Geolocating a WeChat user based on the relation between reported and actual distance. Int. J. Distributed Sens. Networks Wenqi Shi, Xiangyang Luo, Fan Zhao, Ziru Peng, Qingfeng Cheng, Yong Gan
2018	B	`conf`	Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction. ICIP Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu
2017	—	`conf`	A WeChat User Geolocating Algorithm Based on the Relation Between Reported and Actual Distance. CSS Wenqi Shi, Xiangyang Luo, Fan Zhao, Ziru Peng, Yong Gan
2017	—	`conf`	City-level IP geolocation based on network topology community detection. ICOIN Mingyue Li, Xiangyang Luo, Wenqi Shi, Lixiang Chai
2005	C	`conf`	How to Combine CBR and RBR for Diagnosing Multiple Medical Disorder Cases. ICCBR Wenqi Shi, John A. Barnden
2005	—	`conf`	Using Inductive Rules in Medical Case-Based Reasoning System. MICAI Wenqi Shi, John A. Barnden
2004	—	`conf`	An Intelligent Diagnosis System Handling Multiple Disorders. IIP Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister
2004	Misc	`conf`	Case-Based Approaches for Diagnosing Multiple Disorders. FLAIRS Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden