Sirui Ding

According to our database, Sirui Ding authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Rethinking the Understanding Ability across LLMs through Mutual Information.

Shaojie Wang, Sirui Ding, Na Zou

CoRR, May, 2025

Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.

Zidu Xu, Danielle Scharp, Mollie Hobensack, Jiancheng Ye, Jungang Zou, Sirui Ding, Jingjing Shang, Maxim Topaz

J. Am. Medical Informatics Assoc., 2025

Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning.

Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou

J. Am. Medical Informatics Assoc., 2025

Privacy-preserving online medical image exchange via hyperchaotic memristive neural networks and DNA encoding.

Xiaoheng Deng, Sirui Ding, Hairong Lin, Lin Jiang, Hong Sun, Jie Jin

Neurocomputing, 2025

A hidden multiwing memristive neural network and its application in remote sensing data security.

Sirui Ding, Hairong Lin, Xiaoheng Deng, Wei Yao, Jie Jin

Expert Syst. Appl., 2025

UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.

Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs.

Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.

Sirui Ding, Shenghan Zhang, Xia Hu, Na Zou

J. Biomed. Informatics, 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

Understanding Different Design Choices in Training Large Time Series Models.

Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu

CoRR, 2024

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction.

Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan

CoRR, 2024

UniGLM: Training One Unified Language Model for Text-Attributed Graphs.

Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan

CoRR, 2024

2023

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.

Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang

J. Biomed. Informatics, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

CoRR, 2023

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.

Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Towards Precise and Equitable Organ Allocation in Transplant with Machine Learning.

Sirui Ding

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

AutoVideo: An Automated Video Action Recognition System.

Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.

Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu

Proceedings of the AMIA 2022, 2022

2021

AutoVideo: An Automated Video Action Recognition System.

Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu

CoRR, 2021

An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions.

Hongbin Qiu, Yong Chen, Sirui Ding, Wenchao Yi, Ruifeng Lv, Cheng Wang

IEEE Access, 2021

2020

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.

Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Novel EEG Sleep Staging Method for Wearable Devices Based on Amplitude-time Mapping.

Panfeng An, Weixin Si, Sirui Ding, Guotong Xue, Zhiyong Yuan

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System.

Sirui Ding, Zhiyong Yuan, Panfeng An, Guotong Xue, Wenxiang Sun, Jianhui Zhao

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019