I am a researcher at the Department of Surgery, University of Minnesota Twin Cities. I received my PhD degree in Computer Science from The Hong Kong Polytechnic University in 2024 advised by Dr. Korris Chung and Dr. Xiao Huang. Before that, I obtained my Master’s degree in Computer Science from The Chinese University of Hong Kong (CUHK) in 2020 and received my Bachelor’s degree from Wuhan University (WHU) in 2018.

My research interests include Medical Informatics, Large Language Models, Deep Learning, Anomaly Detection, and Graph Neural Networks.

I am looking for remote collaborators, please feel free to drop me an email if you are interested in working with me.

Email: shuang.zhou at connect.polyu.hk

Preprint

(# indicates equal contributions)

• 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
  arXiv, 2024

• Interpretable Differential Diagnosis with Dual-Inference Large Language Models
  Shuang Zhou, Mingquan Lin, Sirui Ding, Jiashuo Wang, Genevieve B. Melton, James Zou, Rui Zhang
  arXiv, 2024

Publication

• Open-set Cross-network Node Classification via Unknown-excluded Adversarial Graph Domain Alignment
  Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence Tianruo Yang, Xi Zhou
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  (Acceptance rate: 3,032/12,957 = 23.4%, main track)

• 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
  Code & dataset

• Enhancing Explainable Rating Prediction through Concept Annotation with LLMs
  Huachi Zhou, Shuang Zhou, Hao Chen, Xiao Huang, Fan Yang, Ninghao Liu
  Annual Meeting of the Association for Computational Linguistics (ACL), 2024
  (Acceptance rate: 21.3%, main track)

• Denoising-Aware Contrastive Learning for Noisy Time Series
  Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  (Acceptance rate: 791/5651 = 14.0%, main track)
  Code

• Interest Driven Graph Structure Learning for Session-Based Recommendation
  Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
  Code

• 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 Transactions on Knowledge and Data Engineering, 2023 (Impact factor: 8.9)
  Code & dataset

• Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning
  Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
  SIAM International Conference on Data Mining (SDM), 2022
  Code & dataset

• Subtractive Aggregation for Attributed Network Anomaly Detection
  Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
  International Conference on Information and Knowledge Management (CIKM), 2021
  Code

• PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation
  Xiang Yue, Shuang Zhou
  EMNLP 2020 Clinical Natural Language Processing Workshop
  Code

• Graph Embedding Ensemble Methods Based on the Heterogeneous Network for lncRNA-miRNA Interaction Prediction
  Chengshuai Zhao, Yang Qiu, Shuang Zhou, Shichao Liu, Wen Zhang, Yanqing Niu
  BMC Genomics, 2020

• LncRNA-miRNA Interaction Prediction from the Heterogeneous Network through Graph Embedding Ensemble Learning
  Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
  Code & dataset

• LncRNA-miRNA Interaction Prediction through Sequence-Derived Linear Neighborhood Propagation Method with Information Combination
  Wen Zhang, Guifeng Tang, Shuang Zhou, Yanqing Niu
  BMC Genomics, 2019
  Code & dataset

• Sequence-Derived Linear Neighborhood Propagation Method for Predicting lncRNA-miRNA Interactions
  Wen Zhang, Guifeng Tang, Siman Wang, Yanlin Chen, Shuang Zhou, Xiaohong Li
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018

Talks

• [10/2024] Invited by Prof. Ninghao Liu to give a guest lecture “An overview of open-set recognition” for CSCI 8265: Trustworthy Machine Learning at the University of Georgia.

Services

Journal Reviewer

• npj Digital Medicine
• Computers in Biology and Medicine
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Neural Systems and Rehabilitation Engineering
• ACM Transactions on Knowledge Discovery from Data
• Neural Networks
• Pattern Recognition
• International Journal of Medical Informatics
• Sensor

Conference Reviewer

• AAAI 2023, 2024
• AMIA Informatics Summit