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2020 – today
- 2026
[j5]Ruochen Jin
, Boning Tong, Shu Yang, Bojian Hou, Li Shen:
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning. IEEE Trans. Artif. Intell. 7(7): 3884-3896 (2026)- [i20]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:
Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design. CoRR abs/2602.10016 (2026) - [i19]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:
Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR abs/2603.17191 (2026) - [i18]Zhanliang Wang, Jiancong Xiao, Ruochen Jin, Shu Yang, Bojian Hou, Li Shen:
A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering. CoRR abs/2605.08432 (2026) - 2025
- [j4]Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen:
MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. IEEE Trans. Comput. Biol. Bioinform. 22(4): 1299-1310 (2025) - [j3]Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Zhen Jia, Boce Zhang, Rongjie Lai, Hengyong Yu, Fei Wang:
Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12311-12325 (2025) - [c21]Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran:
Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks. AAAI Bridge Program 2025: 79-89 - [c20]Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang:
Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients. AAAI Bridge Program 2025: 155-164 - [c19]Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen:
Fair CCA for Fair Representation Learning: An ADNI Study. BCB 2025: 12:1-12:10 - [c18]Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB 2025: 20:1-20:10 - [c17]Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang:
IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis. IEEE Big Data 2025: 1143-1152 - [c16]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:
Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW 2025: 2285-2293 - [c15]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:
Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. ICCVW 2025: 2294-2303 - [c14]Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen:
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. ICLR 2025 - [c13]Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen:
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. ICML 2025 - [c12]Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen:
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. KDD (2) 2025: 5367-5378 - [c11]Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh, Li Shen, George Michailidis:
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization. NeurIPS 2025 - [i17]Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen:
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. CoRR abs/2503.13509 (2025) - [i16]Ruochen Jin, Boning Tong, Shu Yang, Bojian Hou, Li Shen:
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning. CoRR abs/2504.10851 (2025) - [i15]Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen:
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. CoRR abs/2505.01997 (2025) - [i14]Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen:
Fair CCA for Fair Representation Learning: An ADNI Study. CoRR abs/2507.09382 (2025) - [i13]Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR abs/2507.23227 (2025) - 2024
- [j2]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: 103231 (2024) - [j1]Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan:
Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Trans. Artif. Intell. 5(9): 4723-4737 (2024) - [c10]Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano:
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS 2024: 2854-2862 - [c9]Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen:
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. IEEE Big Data 2024: 1309-1314 - [c8]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. EMNLP (Findings) 2024: 2187-2205 - [c7]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen:
Fairness-Aware Estimation of Graphical Models. NeurIPS 2024 - [i12]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 abs/2405.04819 (2024) - [i11]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 abs/2407.07089 (2024) - [i10]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen:
Fairness-Aware Estimation of Graphical Models. CoRR abs/2408.17396 (2024) - [i9]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - [i8]Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR abs/2410.09080 (2024) - [i7]Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen:
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. CoRR abs/2411.12764 (2024) - 2023
- [c6]Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen:
Multi-Group Tensor Canonical Correlation Analysis. BCB 2023: 12:1-12:10 - [c5]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI 2023: 1-4 - [c4]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: 144-154 - [c3]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen:
Fair Canonical Correlation Analysis. NeurIPS 2023 - [c2]Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen:
Fairness-aware class imbalanced learning on multiple subgroups. UAI 2023: 2123-2133 - [i6]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR abs/2301.11826 (2023) - [i5]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen:
Fair Canonical Correlation Analysis. CoRR abs/2309.15809 (2023) - 2022
- [c1]Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He:
Online Deep Learning from Doubly-Streaming Data. ACM Multimedia 2022: 3185-3194 - [i4]Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang:
Manifoldron: Direct Space Partition via Manifold Discovery. CoRR abs/2201.05279 (2022) - [i3]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 abs/2204.01707 (2022) - [i2]Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He:
Online Deep Learning from Doubly-Streaming Data. CoRR abs/2204.11793 (2022) - 2021
- [i1]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 abs/2111.00621 (2021)
Coauthor Index
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