Copertina

Labor Migration Modeling through Large-scale Job Query Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Zhuoning, Zhang, Le, Zhu, Hengshu, Zhang, Weijia, Xiong, Hui, Liu, Hao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting
di: Guo, Zhuoning, et al.
Pubblicazione: (2024)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
di: Chao, Wenshuo, et al.
Pubblicazione: (2024)

Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
di: Ji, Yang, et al.
Pubblicazione: (2025)

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
di: Chen, Xi, et al.
Pubblicazione: (2024)

Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
di: Zhang, Weijia, et al.
Pubblicazione: (2024)

Make Large Language Model a Better Ranker
di: Chao, Wen-Shuo, et al.
Pubblicazione: (2024)

VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
di: Xu, Zhuoning, et al.
Pubblicazione: (2025)

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
di: Guo, Zhuoning, et al.
Pubblicazione: (2024)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
di: Guo, Zhuoning, et al.
Pubblicazione: (2024)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
di: Han, Xiao, et al.
Pubblicazione: (2024)

Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
di: Zhang, Weijia, et al.
Pubblicazione: (2024)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
di: Wang, Hao, et al.
Pubblicazione: (2025)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
di: Zhang, Weijia, et al.
Pubblicazione: (2023)

GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
di: Guo, Zhuoning, et al.
Pubblicazione: (2025)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
di: Ni, Hang, et al.
Pubblicazione: (2025)

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
di: Zhang, Yunfei, et al.
Pubblicazione: (2023)

Query Performance Explanation through Large Language Model for HTAP Systems
di: Xiu, Haibo, et al.
Pubblicazione: (2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
di: Zhang, Weijia, et al.
Pubblicazione: (2024)

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
di: Liu, Ping, et al.
Pubblicazione: (2025)

OptLLM: Optimal Assignment of Queries to Large Language Models
di: Liu, Yueyue, et al.
Pubblicazione: (2024)

Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
di: Lyu, Tengfei, et al.
Pubblicazione: (2025)

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
di: Jiang, Feihu, et al.
Pubblicazione: (2024)

Attribution-Guided Continual Learning for Large Language Models
di: Liu, Yazheng, et al.
Pubblicazione: (2026)

A Comprehensive Survey on Self-Interpretable Neural Networks
di: Ji, Yang, et al.
Pubblicazione: (2025)

fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
di: Xu, Weijia, et al.
Pubblicazione: (2024)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
di: Lyu, Tengfei, et al.
Pubblicazione: (2024)

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
di: Qin, Chuan, et al.
Pubblicazione: (2025)

SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data
di: Liu, Dianyu, et al.
Pubblicazione: (2026)

From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
di: Wu, Biao, et al.
Pubblicazione: (2023)

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
di: Zhou, Jiaming, et al.
Pubblicazione: (2024)

HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
di: Liu, Xin, et al.
Pubblicazione: (2024)

Graph Signal Diffusion Model for Collaborative Filtering
di: Zhu, Yunqin, et al.
Pubblicazione: (2023)

A Scalable and Efficient Signal Integration System for Job Matching
di: Liu, Ping, et al.
Pubblicazione: (2025)

TimeFound: A Foundation Model for Time Series Forecasting
di: Xiao, Congxi, et al.
Pubblicazione: (2025)

SAE-FD: Sparse Autoencoder Feature Distillation for Continual Learning of Large Language Models
di: Zhang, Mingxu, et al.
Pubblicazione: (2026)

Detecting Pretraining Data from Large Language Models
di: Shi, Weijia, et al.
Pubblicazione: (2023)

Controllable Value Alignment in Large Language Models through Neuron-Level Editing
di: Yang, Yonghui, et al.
Pubblicazione: (2026)

CAREER: A Foundation Model for Labor Sequence Data
di: Vafa, Keyon, et al.
Pubblicazione: (2022)

AXIS: Explainable Time Series Anomaly Detection with Large Language Models
di: Lan, Tian, et al.
Pubblicazione: (2025)

Towards Explainable Traffic Flow Prediction with Large Language Models
di: Guo, Xusen, et al.
Pubblicazione: (2024)