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Bojian Hou
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2020 – today
- 2024
- [j2]Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang
, Boning Tong
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024) - [j1]Jing-Xiao Liao
Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Trans. Artif. Intell. 5(9): 4723-4737 (2024) - [c8]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 - [c7]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 - [i10]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) - [i9]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) - [i8]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen:
Fairness-Aware Estimation of Graphical Models. CoRR abs/2408.17396 (2024) - [i7]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) - 2023
- [c6]Zhuoping Zhou
Multi-Group Tensor Canonical Correlation Analysis. BCB 2023: 12:1-12:10 - [c5]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng
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
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)
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