Shuo Zhou

According to our database, Shuo Zhou authored at least 21 papers between 2019 and 2025.

Collaborative distances:

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

2025

Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives.

Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang, Sxe Chang Cheong, Weikang Liu, Wenjie Zhao, Qihao Tian, Hongming Wang, Shuo Zhou, Yingjie Guo, Sina Tabakhi, Xianyuan Liu, Zheqing Zhu, Wei Sang, Haiping Lu

CoRR, April, 2025

Towards deployment-centric multimodal AI beyond vision and language.

Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu

CoRR, April, 2025

Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment.

Md. Naimul Islam Suvon, Shuo Zhou, Prasun C. Tripathi, Wenrui Fan, Samer Alabed, Bishesh Khanal, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

CoRR, March, 2025

Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning.

Jiayang Zhang, Xianyuan Liu, Wei Wu, Sina Tabakhi, Wenrui Fan, Shuo Zhou, Kang Lan Tee, Tuck Seng Wong, Haiping Lu

CoRR, February, 2025

Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction.

Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment.

Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu

CoRR, 2024

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment.

Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

CoRR, 2024

Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection.

Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods.

Xianyuan Liu, Shuo Zhou, Tao Lei, Ping Jiang, Zhixiang Chen, Haiping Lu

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity.

Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu

IEEE Trans. Medical Imaging, 2023

Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI.

Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Direct ICA on data tensor via random matrix modeling.

Liyan Song, Shuo Zhou, Haiping Lu

Signal Process., 2022

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu

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

2021

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

Medical Image Anal., 2021

Channel-Temporal Attention for First-Person Video Domain Adaptation.

Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu

CoRR, 2021

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs

CoRR, 2021

Confidence-Quantifying Landmark Localisation For Cardiac MRI.

Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.

Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

CoRR, 2020

Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments.

Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation.

Shuo Zhou, Christopher R. Cox, Haiping Lu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI.

Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019