Shu Yang

According to our database, Shu Yang authored at least 26 papers between 2011 and 2026.

Collaborative distances:

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

2026

A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering.

Zhanliang Wang, Jiancong Xiao, Ruochen Jin, Shu Yang, Bojian Hou, Li Shen

CoRR, May, 2026

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data.

Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen

CoRR, March, 2026

2025

Multimodal Fusion of Regional Brain Experts for Interpretable Alzheimer's Disease Diagnosis.

Farica Zhuang, Dinara Aliyeva, Shu Yang, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen

CoRR, December, 2025

Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs.

Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

CoRR, July, 2025

Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases.

Joseph Lee, Tianqi Shang, Jae Young Baik, Duy Duong-Tran, Shu Yang, Lingyao Li, Li Shen

CoRR, April, 2025

ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning.

Ruochen Jin, Boning Tong, Shu Yang, Bojian Hou, Li Shen

CoRR, April, 2025

QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics.

Zexuan Wang, Qipeng Zhan, Shu Yang, Shizhuo Mu, Jiong Chen, Sumita Garai, Patryk Orzechowski, Joost B. Wagenaar, Li Shen

Briefings Bioinform., January, 2025

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance.

Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery.

Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis.

Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

A Comprehensive Benchmark of Tool-Augmented Large Language Models for Biomedical Knowledge Retrieval and Integration.

Van Q. Truong, Shu Yang, Li Shen, Marylyn D. Ritchie

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs.

Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks.

Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery.

Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen

Medical Image Anal., 2024

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs.

Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

CoRR, 2024

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion.

Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen

CoRR, 2024

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.

Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen

CoRR, 2024

Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits.

Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings.

Lina Takemaru, Shu Yang, Ruiming Wu, Bing He, Christos Davtzikos, Jingwen Yan, Li Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.

Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen

NeuroImage, October, 2023

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.

Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen

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

2022

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.

Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteins.

Shu Yang, Xiaoxi Liu, Raymond T. Ng

Bioinform., 2020

2018

Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution.

Shu Yang, Junwen Wang, Raymond T. Ng

BMC Bioinform., 2018

2011

Correlated evolution of transcription factors and their binding sites.

Shu Yang, Hari Krishna Yalamanchili, Xinran Li, Kwok-Ming Yao, Pak Chung Sham, Michael Q. Zhang, Junwen Wang

Bioinform., 2011