Shuang Zhou

According to our database, Shuang Zhou authored at least 33 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice.

Rongyang Wang, Shuang Zhou, Jiashuo Wang, Wenya Xie, Xiaoxia Che

CoRR, May, 2026

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities.

Kai Yu, Shuang Zhou, Yiran Song, Zaifu Zhan, Jie Peng, Kaixiong Zhou, Tianlong Chen, Feng Xie, Meng Wang, Huazhu Fu, Mingquan Lin, Rui Zhang

CoRR, April, 2026

EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models.

Shuang Zhou, Kai Yu, Zaifu Zhan, Huixue Zhou, Min Zeng, Feng Xie, Zhiyi Sha, Rui Zhang

CoRR, March, 2026

MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning.

Min Zeng, Shuang Zhou, Zaifu Zhan, Rui Zhang

CoRR, March, 2026

HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology.

Shuang Zhou, Kai Yu, Song Wang, Wenya Xie, Zaifu Zhan, Meng-Han Tsai, Yuen-Hei Chung, Shutong Hou, Huixue Zhou, Min Zeng, Bhavadharini Ramu, Lin Yee Chen, Feng Xie, Rui Zhang

CoRR, March, 2026

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering.

Zaifu Zhan, Min Zeng, Shuang Zhou, Yiran Song, Xiaoyi Chen, Yu Hou, Yifan Wu, Yang Ruan, Rui Zhang

CoRR, February, 2026

Retrieval-augmented in-context learning for multimodal large language models in disease classification.

Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou, Yongkang Xiao, Jun Wang, Jiawen Deng, He Zhu, Yu Hou, Yiran Song, Mingquan Lin, Rui Zhang

J. Biomed. Informatics, 2026

PEER: Towards reliable and efficient inference via Patience-Based Early Exiting with Rejection.

Zaifu Zhan, Shuang Zhou, Rui Zhang

J. Biomed. Informatics, 2026

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

Zidu Xu, Jiyoun Song, Shuang Zhou, Danielle Scharp, Mollie Hobensack, Yan Hu, Jingjing Shang, Maxim Topaz

J. Am. Medical Informatics Assoc., 2026

Developing and validating a sequence-aware deep learning model for infection risk prediction in home care.

Zidu Xu, Shuang Zhou, Jiyoun Song, David Russell, Maryam Zolnoori, Jingjing Shang, Maxim Topaz

Int. J. Medical Informatics, 2026

2025

MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis.

Yiran Song, Yikai Zhang, Shuang Zhou, Guojun Xiong, Xiaofeng Yang, Nian Wang, Fenglong Ma, Rui Zhang, Mingquan Lin

CoRR, November, 2025

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation.

Zaifu Zhan, Shuang Zhou, Min Zeng, Kai Yu, Meijia Song, Xiaoyi Chen, Jun Wang, Yu Hou, Rui Zhang

CoRR, September, 2025

Retrieval-augmented in-context learning for multimodal large language models in disease classification.

Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou, Yongkang Xiao, Jun Wang, Jiawen Deng, He Zhu, Yu Hou, Rui Zhang

CoRR, May, 2025

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine.

Zaifu Zhan, Shuang Zhou, Huixue Zhou, Zirui Liu, Rui Zhang

CoRR, March, 2025

An evaluation of DeepSeek Models in Biomedical Natural Language Processing.

Zaifu Zhan, Shuang Zhou, Huixue Zhou, Jiawen Deng, Yu Hou, Jeremy Yeung, Rui Zhang

CoRR, March, 2025

Continually Evolved Multimodal Foundation Models for Cancer Prognosis.

Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen

CoRR, January, 2025

Automating expert-level medical reasoning evaluation of large language models.

Shuang Zhou, Wenya Xie, Jiaxi Li, Zaifu Zhan, Meijia Song, Han Yang, Cheyenna Espinoza, Lindsay Welton, Xinnie Mai, Yanwei Jin, Zidu Xu, Yuen-Hei Chung, Yiyun Xing, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang

npj Digit. Medicine, 2025

Uncertainty-aware large language models for explainable disease diagnosis.

Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B. Melton, Rui Zhang

npj Digit. Medicine, 2025

RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.

Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang

J. Am. Medical Informatics Assoc., 2025

MMRAG: multi-mode retrieval-augmented generation with large language models for biomedical in-context learning.

Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang

J. Am. Medical Informatics Assoc., 2025

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.

Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment.

Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning.

Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung

Neural Networks, 2024

Large Language Models for Disease Diagnosis: A Scoping Review.

Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang

CoRR, 2024

Interpretable Differential Diagnosis with Dual-Inference Large Language Models.

Shuang Zhou, Sirui Ding, Jiashuo Wang, Mingquan Lin, Genevieve B. Melton, Rui Zhang

CoRR, 2024

Graph Anomaly Detection with Noisy Labels by Reinforcement Learning.

Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao

CoRR, 2024

Denoising-Aware Contrastive Learning for Noisy Time Series.

Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Explainable Rating Prediction through Annotated Macro Concepts.

Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.

Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang

IEEE Trans. Knowl. Data Eng., December, 2023

Interest Driven Graph Structure Learning for Session-Based Recommendation.

Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.

Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

Subtractive Aggregation for Attributed Network Anomaly Detection.

Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation.

Xiang Yue, Shuang Zhou

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020