Shuang Zhou

According to our database, Shuang Zhou authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

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