Bojian Hou - RankMe

43 papers A* 5A 2B 2Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design. CoRR 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
2026	J	`jnl`	Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR 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
2025	—	`conf`	Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. ICCVW 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
2025	—	`conf`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	—	`conf`	Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks. AAAI Bridge Program Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran
2025	—	`conf`	Fair CCA for Fair Representation Learning: An ADNI Study. BCB Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	J	`jnl`	Fair CCA for Fair Representation Learning: An ADNI Study. CoRR Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	A*	`conf`	Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. ICLR Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen
2025	J	`jnl`	ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning. CoRR Ruochen Jin, Boning Tong, Shu Yang, Bojian Hou, Li Shen
2025	B	`conf`	IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis. IEEE Big Data Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang
2025	—	`conf`	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 Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang
2025	J	`jnl`	MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. IEEE Trans. Comput. Biol. Bioinform. Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2025	J	`jnl`	Manifoldron: Direct Space Partition via Manifold Discovery. IEEE Trans. Neural Networks Learn. Syst. Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Zhen Jia, Boce Zhang, Rongjie Lai, Hengyong Yu, Fei Wang
2025	—	`conf`	MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. KDD (2) Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen
2025	J	`jnl`	MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. CoRR Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW 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
2025	A*	`conf`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. ICML Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2025	J	`jnl`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. CoRR Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2024	—	`conf`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 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
2024	J	`jnl`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR 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
2024	A*	`conf`	Fairness-Aware Estimation of Graphical Models. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	J	`jnl`	Fairness-Aware Estimation of Graphical Models. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	J	`jnl`	Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic. CoRR Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 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
2024	J	`jnl`	Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen
2024	J	`jnl`	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2024	A	`conf`	Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
2024	J	`jnl`	Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Trans. Artif. Intell. Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan
2024	B	`conf`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. IEEE Big Data Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2024	J	`jnl`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. CoRR Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2023	—	`conf`	Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	—	`conf`	Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	J	`jnl`	Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	A*	`conf`	Fair Canonical Correlation Analysis. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	J	`jnl`	Fair Canonical Correlation Analysis. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	A	`conf`	Fairness-aware class imbalanced learning on multiple subgroups. UAI Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
2023	—	`conf`	Multi-Group Tensor Canonical Correlation Analysis. BCB Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2022	J	`jnl`	Heterogeneous Autoencoder Empowered by Quadratic Neurons. CoRR Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan
2022	J	`jnl`	Manifoldron: Direct Space Partition via Manifold Discovery. CoRR Dayang Wang, Feng-Lei Fan, Bojian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang
2022	A*	`conf`	Online Deep Learning from Doubly-Streaming Data. ACM Multimedia Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
2022	J	`jnl`	Online Deep Learning from Doubly-Streaming Data. CoRR Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
2021	J	`jnl`	Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure. CoRR Bojian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang