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)

Online Deep Learning from Doubly-Streaming Data. - Heng Lian; John Scovil Atwood; Bojian Hou; Jian Wu 006; Yi He 007 (ACM Multimedia, 2022)

Manifoldron: Direct Space Partition via Manifold Discovery. - Dayang Wang; Feng-Lei Fan; Bojian Hou; Hao Zhang 050; Rongjie Lai; Hengyong Yu; Fei Wang 001 (CoRR, 2022)

Heterogeneous Autoencoder Empowered by Quadratic Neurons. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Jianwei Ma; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (CoRR, 2022)

Multi-Group Tensor Canonical Correlation Analysis. - Zhuoping Zhou; Boning Tong; Davoud Ataee Tarzanagh; Bojian Hou; Andrew J. Saykin; Qi Long; Li Shen 001 (BCB, 2023)

Deep Clustering Survival Machines with Interpretable Expert Distributions. - Bojian Hou; Hongming Li; Zhicheng Jiao; Zhen Zhou 004; Hao Zheng 006; Yong Fan 001 (ISBI, 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 001 (MLMI@MICCAI (2), 2023)

Fair Canonical Correlation Analysis. - Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Boning Tong; Jia Xu; Yanbo Feng; Qi Long; Li Shen 001 (NeurIPS, 2023)

Fairness-aware class imbalanced learning on multiple subgroups. - Davoud Ataee Tarzanagh; Bojian Hou; Boning Tong; Qi Long; Li Shen 001 (UAI, 2023)

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. - Davoud Ataee Tarzanagh; Parvin Nazari; Bojian Hou; Li Shen 001; Laura Balzano (AISTATS, 2024)

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. - Weiqing He; Bojian Hou; Tianqi Shang; Davoud Ataee Tarzanagh; Qi Long; Li Shen 001 (IEEE Big Data, 2024)

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. - Dawei Li 008; Shu Yang 009; Zhen Tan 001; Jae Young Baik; Sukwon Yun; Joseph Lee; Aaron Chacko; Bojian Hou; Duy Duong-Tran; Ying Ding 001; Huan Liu 001; Li Shen 001; et al. (EMNLP (Findings), 2024)

Fairness-Aware Estimation of Graphical Models. - Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Qi Long; Li Shen 001 (NeurIPS, 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 001 (CoRR, 2024)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. - Joseph Lee; Shu Yang 009; Jae Young Baik; Xiaoxi Liu; Zhen Tan 001; Dawei Li 008; Zixuan Wen; Bojian Hou; Duy Duong-Tran; Tianlong Chen 001; Li Shen 001 (CoRR, 2024)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. - Tianqi Shang; Shu Yang 009; Weiqing He; Tianhua Zhai; Dawei Li 008; Bojian Hou; Tianlong Chen 001; Jason H. Moore; Marylyn D. Ritchie; Li Shen 001 (CoRR, 2024)

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. - Bojian Hou; Zixuan Wen; Jingxuan Bao; Richard Zhang; Boning Tong; Shu Yang 009; Junhao Wen 002; Yuhan Cui; Jason H. Moore; Andrew J. Saykin; Heng Huang; Paul M. Thompson; et al. (Medical Image Anal., 2024)

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Xiaoge Zhang 001; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (IEEE Trans. Artif. Intell., 2024)

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. - Ruochen Jin; Bojian Hou; Jiancong Xiao; Weijie J. Su; Li Shen 001 (ICLR, 2025)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. - Jia Xu; Tianyi Wei; Bojian Hou; Patryk Orzechowski; Shu Yang 009; Ruochen Jin; Rachael Paulbeck; Joost B. Wagenaar; George Demiris; Li Shen 001 (CoRR, 2025)

ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning. - Ruochen Jin; Boning Tong; Shu Yang 009; Bojian Hou; Li Shen 001 (CoRR, 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 001 (CoRR, 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 001 (CoRR, 2025)

Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. - Sophie Kearney; Shu Yang 009; Zixuan Wen; Bojian Hou; Duy Duong-Tran; Tianlong Chen 001; Jason H. Moore; Marylyn D. Ritchie; Li Shen 001 (CoRR, 2025)

Manifoldron: Direct Space Partition via Manifold Discovery. - Dayang Wang; Feng-Lei Fan; Bojian Hou; Hao Zhang 050; Zhen Jia; Boce Zhang; Rongjie Lai; Hengyong Yu; Fei Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)