Shuang Zhou - RankMe

37 papers A* 3A 2Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models. CoRR Shuang Zhou, Kai Yu, Zaifu Zhan, Huixue Zhou, Min Zeng, Feng Xie, Zhiyi Sha, Rui Zhang
2026	J	`jnl`	HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology. CoRR 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
2026	J	`jnl`	MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning. CoRR Min Zeng, Shuang Zhou, Zaifu Zhan, Rui Zhang
2026	J	`jnl`	PEER: Towards reliable and efficient inference via Patience-Based Early Exiting with Rejection. J. Biomed. Informatics Zaifu Zhan, Shuang Zhou, Rui Zhang
2026	J	`jnl`	To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering. CoRR Zaifu Zhan, Min Zeng, Shuang Zhou, Yiran Song, Xiaoyi Chen, Yu Hou, Yifan Wu, Yang Ruan, Rui Zhang
2025	J	`jnl`	An evaluation of DeepSeek Models in Biomedical Natural Language Processing. CoRR Zaifu Zhan, Shuang Zhou, Huixue Zhou, Jiawen Deng, Yu Hou, Jeremy Yeung, Rui Zhang
2025	A*	`conf`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	Automating Expert-Level Medical Reasoning Evaluation of Large Language Models. CoRR 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
2025	J	`jnl`	Automating expert-level medical reasoning evaluation of large language models. npj Digit. Medicine 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
2025	J	`jnl`	Continually Evolved Multimodal Foundation Models for Cancer Prognosis. CoRR Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen
2025	J	`jnl`	EPEE: Towards Efficient and Effective Foundation Models in Biomedicine. CoRR Zaifu Zhan, Shuang Zhou, Huixue Zhou, Zirui Liu, Rui Zhang
2025	J	`jnl`	MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning. CoRR Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang
2025	J	`jnl`	MMRAG: multi-mode retrieval-augmented generation with large language models for biomedical in-context learning. J. Am. Medical Informatics Assoc. Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang
2025	J	`jnl`	MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis. CoRR Yiran Song, Yikai Zhang, Shuang Zhou, Guojun Xiong, Xiaofeng Yang, Nian Wang, Fenglong Ma, Rui Zhang, Mingquan Lin
2025	A*	`conf`	Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. AAAI Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou
2025	J	`jnl`	Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. CoRR Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou
2025	J	`jnl`	Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation. CoRR Zaifu Zhan, Shuang Zhou, Min Zeng, Kai Yu, Meijia Song, Xiaoyi Chen, Jun Wang, Yu Hou, Rui Zhang
2025	J	`jnl`	RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements. J. Am. Medical Informatics Assoc. Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang
2025	J	`jnl`	Retrieval-augmented in-context learning for multimodal large language models in disease classification. CoRR Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou, Yongkang Xiao, Jun Wang, Jiawen Deng, He Zhu, Yu Hou, Rui Zhang
2025	J	`jnl`	Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. CoRR 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
2025	J	`jnl`	Uncertainty-aware large language models for explainable disease diagnosis. npj Digit. Medicine 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
2024	A*	`conf`	Denoising-Aware Contrastive Learning for Noisy Time Series. IJCAI Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung
2024	J	`jnl`	Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
2024	—	`conf`	Enhancing Explainable Rating Prediction through Annotated Macro Concepts. ACL (1) Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
2024	J	`jnl`	Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. CoRR Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao
2024	J	`jnl`	Interpretable Differential Diagnosis with Dual-Inference Large Language Models. CoRR Shuang Zhou, Sirui Ding, Jiashuo Wang, Mingquan Lin, Genevieve B. Melton, Rui Zhang
2024	J	`jnl`	Large Language Models for Disease Diagnosis: A Scoping Review. CoRR 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
2024	J	`jnl`	Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. Neural Networks Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung
2024	J	`jnl`	RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements. CoRR Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang
2023	J	`jnl`	Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023	J	`jnl`	Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023	—	`conf`	Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
2022	A	`conf`	Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
2021	A	`conf`	Subtractive Aggregation for Attributed Network Anomaly Detection. CIKM Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
2020	—	`conf`	PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. ClinicalNLP@EMNLP Xiang Yue, Shuang Zhou
2020	J	`jnl`	PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. CoRR Xiang Yue, Shuang Zhou