Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method
Fuente:
arXiv
Guardado en:
| Autores principales: | Chai, Yidong, Liu, Haoxin, Xie, Jiaheng, Wang, Chaopeng, Fang, Xiao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
por: Chai, Yidong, et al.
Publicado: (2025)
por: Chai, Yidong, et al.
Publicado: (2025)
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
por: Xie, Jiaheng, et al.
Publicado: (2022)
por: Xie, Jiaheng, et al.
Publicado: (2022)
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method
por: Chai, Yidong, et al.
Publicado: (2024)
por: Chai, Yidong, et al.
Publicado: (2024)
HGMP:Heterogeneous Graph Multi-Task Prompt Learning
por: Jiao, Pengfei, et al.
Publicado: (2025)
por: Jiao, Pengfei, et al.
Publicado: (2025)
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
por: Liu, Haoxin
Publicado: (2024)
por: Liu, Haoxin
Publicado: (2024)
DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
por: Xie, Yaqi, et al.
Publicado: (2026)
por: Xie, Yaqi, et al.
Publicado: (2026)
Decoding Emotional Trajectories: A Temporal-Semantic Network Approach for Latent Depression Assessment in Social Media
por: Kuang, Junwei, et al.
Publicado: (2023)
por: Kuang, Junwei, et al.
Publicado: (2023)
Transfer Learning for Diffusion Models
por: Ouyang, Yidong, et al.
Publicado: (2024)
por: Ouyang, Yidong, et al.
Publicado: (2024)
A Method for Characterizing Disease Progression from Acute Kidney Injury to Chronic Kidney Disease
por: Fang, Yilu, et al.
Publicado: (2025)
por: Fang, Yilu, et al.
Publicado: (2025)
FairMT: Fairness for Heterogeneous Multi-Task Learning
por: Hu, Guanyu, et al.
Publicado: (2025)
por: Hu, Guanyu, et al.
Publicado: (2025)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
por: Liang, Jian, et al.
Publicado: (2025)
por: Liang, Jian, et al.
Publicado: (2025)
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
por: Li, Jiaheng, et al.
Publicado: (2025)
por: Li, Jiaheng, et al.
Publicado: (2025)
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
por: Zhe, Tao, et al.
Publicado: (2025)
por: Zhe, Tao, et al.
Publicado: (2025)
Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
por: Zhang, Xiao, et al.
Publicado: (2025)
por: Zhang, Xiao, et al.
Publicado: (2025)
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
por: Yuan, Li, et al.
Publicado: (2025)
por: Yuan, Li, et al.
Publicado: (2025)
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
por: Zhou, Jingxuan, et al.
Publicado: (2025)
por: Zhou, Jingxuan, et al.
Publicado: (2025)
From Detection to Discovery: A Closed-Loop Approach for Simultaneous and Continuous Medical Knowledge Expansion and Depression Detection on Social Media
por: Geng, Shuang, et al.
Publicado: (2025)
por: Geng, Shuang, et al.
Publicado: (2025)
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
por: Chanda, Dibaloke, et al.
Publicado: (2023)
por: Chanda, Dibaloke, et al.
Publicado: (2023)
A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention
por: Li, Shengjie, et al.
Publicado: (2024)
por: Li, Shengjie, et al.
Publicado: (2024)
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
por: Rokvic, Ljubomir, et al.
Publicado: (2025)
por: Rokvic, Ljubomir, et al.
Publicado: (2025)
Injecting Imbalance Sensitivity for Multi-Task Learning
por: Zhou, Zhipeng, et al.
Publicado: (2025)
por: Zhou, Zhipeng, et al.
Publicado: (2025)
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
por: Liu, Haoxin, et al.
Publicado: (2024)
por: Liu, Haoxin, et al.
Publicado: (2024)
Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
por: Xu, Zixiang, et al.
Publicado: (2025)
por: Xu, Zixiang, et al.
Publicado: (2025)
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
por: Chen, Haohui, et al.
Publicado: (2024)
por: Chen, Haohui, et al.
Publicado: (2024)
Few-Shot Learning for Mental Disorder Detection: A Continuous Multi-Prompt Engineering Approach with Medical Knowledge Injection
por: Liu, Haoxin, et al.
Publicado: (2024)
por: Liu, Haoxin, et al.
Publicado: (2024)
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
por: Yu, En, et al.
Publicado: (2025)
por: Yu, En, et al.
Publicado: (2025)
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
por: Han, Xiao, et al.
Publicado: (2021)
por: Han, Xiao, et al.
Publicado: (2021)
Double Self-weighted Multi-view Clustering via Adaptive View Fusion
por: Fang, Xiang, et al.
Publicado: (2020)
por: Fang, Xiang, et al.
Publicado: (2020)
Gradient Based Method for the Fusion of Lattice Quantizers
por: Zhang, Liyuan, et al.
Publicado: (2025)
por: Zhang, Liyuan, et al.
Publicado: (2025)
Mixture of Experts based Multi-task Supervise Learning from Crowds
por: Han, Tao, et al.
Publicado: (2024)
por: Han, Tao, et al.
Publicado: (2024)
Heterogeneous Scientific Foundation Model Collaboration
por: Li, Zihao, et al.
Publicado: (2026)
por: Li, Zihao, et al.
Publicado: (2026)
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
por: Ahmed, Iftekhar, et al.
Publicado: (2025)
por: Ahmed, Iftekhar, et al.
Publicado: (2025)
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series
por: Mei, Shuhao, et al.
Publicado: (2024)
por: Mei, Shuhao, et al.
Publicado: (2024)
Dual-Balancing for Multi-Task Learning
por: Lin, Baijiong, et al.
Publicado: (2023)
por: Lin, Baijiong, et al.
Publicado: (2023)
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
por: Cheng, Yinghan, et al.
Publicado: (2024)
por: Cheng, Yinghan, et al.
Publicado: (2024)
StefaLand: An Efficient Geoscience Foundation Model That Improves Dynamic Land-Surface Predictions
por: Kraabel, Nicholas, et al.
Publicado: (2025)
por: Kraabel, Nicholas, et al.
Publicado: (2025)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
por: Lee, Seohyun, et al.
Publicado: (2025)
por: Lee, Seohyun, et al.
Publicado: (2025)
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks
por: Turcato, Niccolò, et al.
Publicado: (2024)
por: Turcato, Niccolò, et al.
Publicado: (2024)
Task Addition in Multi-Task Learning by Geometrical Alignment
por: Yim, Soorin, et al.
Publicado: (2024)
por: Yim, Soorin, et al.
Publicado: (2024)
Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
por: Speckmann, Marc, et al.
Publicado: (2025)
por: Speckmann, Marc, et al.
Publicado: (2025)
Ejemplares similares
-
A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
por: Chai, Yidong, et al.
Publicado: (2025) -
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
por: Xie, Jiaheng, et al.
Publicado: (2022) -
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method
por: Chai, Yidong, et al.
Publicado: (2024) -
HGMP:Heterogeneous Graph Multi-Task Prompt Learning
por: Jiao, Pengfei, et al.
Publicado: (2025) -
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction
por: Liu, Haoxin
Publicado: (2024)