Shuang Zhou

Shuang Zhou

Research Fellow

Publications

All publications are available on Google Scholar. # denotes equal contribution; * denotes corresponding author.

  1. Shuang Zhou, J. Wang, Z. Xu, S. Wang, D. Brauer, L. Welton, J. Cogan, Y. Chung, L. Tian, Z. Zhan, Y. Hou, M. Lin, G. Melton, and R. Zhang. “Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis.” npj Digital Medicine, 2025. (Nature Portfolio; Impact Factor: 18)
  2. Shuang Zhou#, W. Xie#, J. Li#, Z. Zhan, M. Song, H. Yang, C. Espinoza, L. Welton, X. Mai, Y. Jin, Z. Xu, Y. Chung, Y. Xing, M. Tsai, E. Schaffer, Y. Shi, N. Liu, Z. Liu, and R. Zhang. “Automating Expert-Level Medical Reasoning Evaluation of Large Language Models.” npj Digital Medicine, 2025. (Nature Portfolio; Impact Factor: 18)
  3. K. Yu#, Shuang Zhou#, Y. Hou, Y. Song, M. Zeng, F. Tian, J. Du, W. Xie, B. Yin, F. Liu, J. Ding, Z. Liu, M. Lin, and R. Zhang. “Multimodal Artificial Intelligence Agents in Healthcare: A Scoping Review.” npj Digital Medicine, 2026. (Nature Portfolio; Impact Factor: 18)
  4. Shuang Zhou#, Z. Xu#, M. Zhang#, C. Xu#, Y. Guo, Z. Zhan, S. Ding, J. Wang, K. Xu, Y. Fang, L. Xia, J. Yeung, D. Zha, D. Cai, G. Melton, M. Lin, and R. Zhang. “Large Language Models for Disease Diagnosis: A Scoping Review.” npj Artificial Intelligence, 2025. (Nature Portfolio)
  5. Shuang Zhou, M. Lin, S. Ding, J. Wang, C. Chen, G. Melton, J. Zou, and R. Zhang. “Explainable Differential Diagnosis with Dual-Inference Large Language Models.” npj Health Systems, 2025. (Nature Portfolio)
  6. Shuang Zhou#, X. Liu#, Z. Xu#, Z. Zhan, M. Song, J. Wang, S. Liu, H. Xu, and R. Zhang. “Mitigating Ethical Issues for Large Language Models in Oncology: A Systematic Review.” JCO Clinical Cancer Informatics, 2025.
  7. Shuang Zhou, X. Huang, N. Liu, W. Zhang, Y. Zhang, and F. Chung. “Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning.” Neural Networks, 2024.
  8. Shuang Zhou, D. Zha, X. Shen, X. Huang, R. Zhang, and F. Chung. “Denoising-Aware Contrastive Learning for Noisy Time Series.” International Joint Conference on Artificial Intelligence (IJCAI), 2024. (Top-tier AI Conference)
  9. Shuang Zhou, X. Huang, N. Liu, H. Zhou, F. Chung, and L. Huang. “Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.” IEEE Transactions on Knowledge and Data Engineering, 2023. (Top-tier AI Journal)
  10. Shuang Zhou, X. Huang, N. Liu, Q. Tan, and F. Chung. “Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.” SIAM International Conference on Data Mining (SDM), 2022.
  11. Shuang Zhou, Q. Tan, Z. Xu, X. Huang, and F. Chung. “Subtractive Aggregation for Attributed Network Anomaly Detection.” International Conference on Information and Knowledge Management (CIKM), 2021.
  12. Shuang Zhou, X. Yue, X. Xu, S. Liu, W. Zhang, and Y. Niu. “LncRNA-miRNA Interaction Prediction from the Heterogeneous Network through Graph Embedding Ensemble Learning.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
  13. Z. Gu, W. Lin, Shuang Zhou, Z. Chen, and S. Wang. “UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment.” ACM Multimedia, 2026.
  14. Z. Zhan, M. Zeng, Shuang Zhou, and R. Zhang. “Distilling GPT-4o to Enhance Medical Reasoning in Small Language Models.” IEEE Conference on Health Informatics (ICHI), 2026.
  15. Y. Song, Y. Zhang, Shuang Zhou, G. Xiong, X. Yang, N. Wang, F. Ma, R. Zhang, and M. Lin. “MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis.” IEEE Transactions on Medical Imaging, 2026. (Top-tier AI Journal)
  16. C. Chen, J. Yu, S. Chen, C. Liu, Z. Wan, Shuang Zhou, Y. Luo, R. Zhang, D. Bitterman, F. Wang, and K. Shu. “ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?” KDD AI for Sciences Track, in press, 2026. (Top-tier AI Conference)
  17. Z. Zhan, Shuang Zhou, and R. Zhang. “Let Large Language Models Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering.” Journal of the American Medical Informatics Association, 2026.
  18. K. Yu, Shuang Zhou, M. Song, Z. Zhan, Y. Hou, Y. Song, M. Zeng, B. Yin, F. Liu, S. Pati, Z. Sha, M. Lin, and R. Zhang. “Deep Learning-Enabled Decision Support Systems in Epilepsy Surgery: A Scoping Review.” npj Health Systems, 2026. (Nature Portfolio)
  19. Z. Zhan, Shuang Zhou, X. Zhou, Y. Xiao, J. Wang, J. Deng, H. Zhu, Y. Hou, and R. Zhang. “Retrieval-Augmented In-Context Learning for Multimodal Large Language Models in Disease Classification.” Journal of Biomedical Informatics, 2026.
  20. Z. Xu, J. Song, Shuang Zhou, D. Scharp, M. Hobensak, Y. Hu, J. Shang, and M. Topaz. “Automating Infection Indicator Extraction in Home Healthcare through Instruction-Tuned Large Language Models.” Journal of the American Medical Informatics Association, 2026.
  21. Z. Zhan, Shuang Zhou, H. Zhou, Z. Liu, and R. Zhang. “EPEE: Towards Efficient and Effective Foundation Models in Biomedicine.” npj Health Systems, 2026. (Nature Portfolio)
  22. Z. Xu, Shuang Zhou, J. Song, D. Russell, M. Zolnoori, J. Shang, and M. Topaz. “Developing and Validating a Sequence-Aware Deep Learning Model for Infection Risk Prediction in Home Care.” International Journal of Medical Informatics, 2026.
  23. Z. Zhan, Shuang Zhou, and R. Zhang. “PEER: Towards Reliable and Efficient Inference via Patience-Based Early Exiting with Rejection.” Journal of Biomedical Informatics, 2026.
  24. Z. Zhan, J. Wang, Shuang Zhou, J. Deng, and R. Zhang. “MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning.” Journal of the American Medical Informatics Association, 2025.
  25. H. Yang, M. Li, H. Zhou, Y. Xiao, Q. Fang, Shuang Zhou, and R. Zhang. “Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.” Journal of Medical Internet Research, 2025.
  26. S. Wang, Z. Tan, Z. Chen, Shuang Zhou, T. Chen, and J. Li. “AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.” Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. (Top-tier AI Conference)
  27. Z. Zhan, Shuang Zhou, M. Li, and R. Zhang. “RAMIE: Retrieval-Augmented Multi-Task Information Extraction with Large Language Models on Dietary Supplements.” Journal of the American Medical Informatics Association, 2025.
  28. Z. Zhan, Shuang Zhou, J. Deng, and R. Zhang. “Improving Electronic Health Record Processing of Large Language Models via Retrieval-Augmented Generation: A Case Study on Dietary Supplements.” AMIA Annual Symposium Proceedings, 2025.
  29. X. Shen, Z. Chen, S. Pan, Shuang Zhou, L. Yang, and X. Zhou. “Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment.” AAAI Conference on Artificial Intelligence (AAAI), 2025. (Top-tier AI Conference)
  30. H. Zhou, Shuang Zhou, H. Chen, X. Huang, F. Yang, and N. Liu. “Enhancing Explainable Rating Prediction through Concept Annotation with LLMs.” Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Top-tier AI Conference)
  31. H. Zhou, Shuang Zhou, K. Duan, X. Huang, Q. Tan, and Z. Yu. “Interest Driven Graph Structure Learning for Session-Based Recommendation.” Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.
  32. X. Yue and Shuang Zhou. “PHICON: Improving Generalization of Clinical Text De-Identification Models via Data Augmentation.” EMNLP Clinical Natural Language Processing Workshop, 2020.
  33. C. Zhao, Y. Qiu, Shuang Zhou, S. Liu, W. Zhang, and Y. Niu. “Graph Embedding Ensemble Methods Based on the Heterogeneous Network for lncRNA-miRNA Interaction Prediction.” BMC Genomics, 2020.
  34. W. Zhang, G. Tang, Shuang Zhou, and Y. Niu. “LncRNA-miRNA Interaction Prediction through Sequence-Derived Linear Neighborhood Propagation Method with Information Combination.” BMC Genomics, 2019.
  35. W. Zhang, G. Tang, S. Wang, Y. Chen, Shuang Zhou, and X. Li. “Sequence-Derived Linear Neighborhood Propagation Method for Predicting lncRNA-miRNA Interactions.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018.