Bojian Hou

According to our database, Bojian Hou authored at least 34 papers between 2021 and 2026.

Collaborative distances:

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

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

Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design.

Bojian Hou, Xiaolong Liu, Xiaoyi Liu, Jiaqi Xu, Yasmine Badr, Mengyue Hang, Sudhanshu Chanpuriya, Junqing Zhou, Yuhang Yang, Han Xu, Qiuling Suo, Laming Chen, Yuxi Hu, Jiasheng Zhang, Huaqing Xiong, Yuzhen Huang, Chao Chen, Yue Dong, Yi Yang, Shuo Chang, Xiaorui Gan, Wenlin Chen, Santanu Kolay, Darren Liu, Jade Nie, Chunzhi Yang, Ellie Wen, Jiyan Yang, Huayu Li

CoRR, February, 2026

2025

Manifoldron: Direct Space Partition via Manifold Discovery.

Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Zhen Jia, Boce Zhang, Rongjie Lai, Hengyong Yu, Fei Wang

IEEE Trans. Neural Networks Learn. Syst., July, 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

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

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

CoRR, April, 2025

MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

IEEE Trans. Comput. Biol. Bioinform., 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

Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach.

Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic.

Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 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

IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis.

Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang

Proceedings of the IEEE International Conference on Big Data, 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

Fair CCA for Fair Representation Learning: An ADNI Study.

Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen

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

Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients.

Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang

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

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection.

Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

IEEE Trans. Artif. Intell., September, 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

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

Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic.

Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen

CoRR, 2024

Fairness-Aware Estimation of Graphical Models.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text.

Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen

Proceedings of the IEEE International Conference on Big Data, 2024

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.

Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Fairness-aware class imbalanced learning on multiple subgroups.

Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Fair Canonical Correlation Analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.

Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Deep Clustering Survival Machines with Interpretable Expert Distributions.

Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Group Tensor Canonical Correlation Analysis.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Heterogeneous Autoencoder Empowered by Quadratic Neurons.

Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

CoRR, 2022

Manifoldron: Direct Space Partition via Manifold Discovery.

Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang

CoRR, 2022

Online Deep Learning from Doubly-Streaming Data.

Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure.

Bojian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang

CoRR, 2021