| 2026 | ACL | Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications. | Xuan Wang, Shuxiang Cao, Yuchen Zhuang, Wenqi Shi |
| 2026 | ACL | RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. | Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang |
| 2026 | EACL | WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. | Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang |
| 2025 | WWW | MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records. | Ran Xu, Wenqi Shi, Jonathan Wang, Jasmine Zhou, Carl Yang |
| 2025 | WoWMoM | Echoes of Movement: A LINE User Geolocation Method Based on Probe Position Adaptive Adjustment. | Yiyang Shi, Wenqi Shi, Xiangyang Luo, Ruiting Liu, Bing Zhang, Junchao Cui |
| 2024 | ACL | Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. | Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang |
| 2024 | ACL | RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang |
| 2024 | EMNLP | BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2024 | EMNLP | MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. | Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang |
| 2024 | EMNLP | EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. | Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang |
| 2024 | EMNLP | MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications. | Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein |
| 2023 | UAI | Learning Nonlinear Causal Effect via Kernel Anchor Regression. | Wenqi Shi, Wenkai Xu |
| 2022 | BIBE | Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection. | 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 | BIBE | Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images. | Yuheng Li, Jieh Sheng Hsu, Noaima Bari, Xu Qiu, Malvika Viswanathan, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang |
| 2022 | BIBE | Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. | Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang |
| 2019 | INFOCOM | Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. | Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng |
| 2018 | ICIP | Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction. | Qijian Zhang, Wenqi Shi, Libao Zhang, Yue Liu |
| 2005 | ICCBR | How to Combine CBR and RBR for Diagnosing Multiple Medical Disorder Cases. | Wenqi Shi, John A. Barnden |
| 2004 | FlAIRS | Case-Based Approaches for Diagnosing Multiple Disorders. | Martin Atzmller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden |