PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. - Xiang Yue; Shuang Zhou 012 (ClinicalNLP@EMNLP, 2020)

Subtractive Aggregation for Attributed Network Anomaly Detection. - Shuang Zhou 012; Qiaoyu Tan; Zhiming Xu; Xiao Huang 001; Fu-Lai Chung (CIKM, 2021)

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Qiaoyu Tan; Fu-Lai Chung (SDM, 2022)

Interest Driven Graph Structure Learning for Session-Based Recommendation. - Huachi Zhou; Shuang Zhou 012; Keyu Duan; Xiao Huang 001; Qiaoyu Tan; Zailiang Yu (PAKDD (3), 2023)

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Huachi Zhou; Fu-Lai Chung; Long-Kai Huang (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Explainable Rating Prediction through Annotated Macro Concepts. - Huachi Zhou; Shuang Zhou 012; Hao Chen 062; Ninghao Liu; Fan Yang 023; Xiao Huang 001 (ACL (1), 2024)

Denoising-Aware Contrastive Learning for Noisy Time Series. - Shuang Zhou 012; Daochen Zha; Xiao Shen 001; Xiao Huang 001; Rui Zhang 028; Korris Fu-Lai Chung (IJCAI, 2024)

Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. - Zhu Wang; Shuang Zhou 012; Junnan Dong; Chang Yang; Xiao Huang 001; Shengjie Zhao (CoRR, 2024)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models. - Shuang Zhou 012; Sirui Ding; Jiashuo Wang; Mingquan Lin; Genevieve B. Melton; Rui Zhang 028 (CoRR, 2024)

Large Language Models for Disease Diagnosis: A Scoping Review. - Shuang Zhou 012; Zidu Xu; Mian Zhang; Chunpu Xu; Yawen Guo; Zaifu Zhan; Sirui Ding; Jiashuo Wang; Kaishuai Xu; Yi Fang; Liqiao Xia; Jeremy Yeung; et al. (CoRR, 2024)

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Wen Zhang; Yuan-Ting Zhang; Fu-Lai Chung (Neural Networks, 2024)

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. - Xiao Shen 001; Zhihao Chen; Shirui Pan; Shuang Zhou 012; Laurence T. Yang; Xi Zhou (AAAI, 2025)

RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements. - Zaifu Zhan; Shuang Zhou 012; Mingchen Li; Rui Zhang 028 (J. Am. Medical Informatics Assoc., 2025)

Continually Evolved Multimodal Foundation Models for Cancer Prognosis. - Jie Peng 002; Shuang Zhou 012; Longwei Yang; Yiran Song; Mohan Zhang; Kaixiong Zhou; Feng Xie; Mingquan Lin; Rui Zhang 028; Tianlong Chen 001 (CoRR, 2025)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning. - Zaifu Zhan; Jun Wang; Shuang Zhou 012; Jiawen Deng; Rui Zhang 028 (CoRR, 2025)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing. - Zaifu Zhan; Shuang Zhou 012; Huixue Zhou; Jiawen Deng; Yu Hou; Jeremy Yeung; Rui Zhang 028 (CoRR, 2025)

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine. - Zaifu Zhan; Shuang Zhou 012; Huixue Zhou; Zirui Liu 001; Rui Zhang 028 (CoRR, 2025)

Retrieval-augmented in-context learning for multimodal large language models in disease classification. - Zaifu Zhan; Shuang Zhou 012; Xiaoshan Zhou; Yongkang Xiao; Jun Wang; Jiawen Deng; He Zhu; Yu Hou; Rui Zhang 028 (CoRR, 2025)

Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. - Shuang Zhou 012; Jiashuo Wang; Zidu Xu; Song Wang 013; David Brauer; Lindsay Welton; Jacob Cogan; Yuen-Hei Chung; Lei Tian; Zaifu Zhan; Yu Hou; Mingquan Lin; et al. (CoRR, 2025)

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. - Song Wang 013; Zhen Tan 001; Zihan Chen 002; Shuang Zhou 012; Tianlong Chen 001; Jundong Li (CoRR, 2025)

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models. - Shuang Zhou 012; Wenya Xie; Jiaxi Li; Zaifu Zhan; Meijia Song; Han Yang; Cheyenna Espinoza; Lindsay Welton; Xinnie Mai; Yanwei Jin; Zidu Xu; Yuen-Hei Chung; et al. (CoRR, 2025)