Bojian Hou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Canonical Correlation Analysis

Nonlinear Kernel

Top Venues

MLMI@MICCAI (2)

Publications

Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS (2024)
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
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR (2024)
Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen
Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic. CoRR (2024)
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
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
Mingquan Lin, Yuyun Xiao, Bojian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR (2023)
Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI (2023)
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Fair Canonical Correlation Analysis. CoRR (2023)
Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) (2023)
Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
Fairness-aware class imbalanced learning on multiple subgroups. UAI (2023)
Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
Multi-Group Tensor Canonical Correlation Analysis. BCB (2023)
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Fair Canonical Correlation Analysis. NeurIPS (2023)
Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR (2023)
Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
Online Deep Learning from Doubly-Streaming Data. ACM Multimedia (2022)
Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan
Heterogeneous Autoencoder Empowered by Quadratic Neurons. CoRR (2022)
Dayang Wang, FenglLei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang
Manifoldron: Direct Space Partition via Manifold Discovery. CoRR (2022)
Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
Online Deep Learning from Doubly-Streaming Data. CoRR (2022)
Bojian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure. CoRR (2021)