Qingxiang Liu
4 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Methods
(1)
Models
(1)
Keywords
time series forecasting
(3)
federated learning
(2)
contrastive learning
(1)
zero-shot learning
(1)
few-shot learning
(1)
knowledge distillation
(1)
semantic alignment
(1)
language model
(1)
foundation model
(1)
zero-shot generalization
(1)
client-server architecture
(1)
spatiotemporal forecasting
(1)
vision model
(1)
causal graph
(1)
parameter reduction
(1)
personalized federated learning
(1)
large language model
(1)
client customization
(1)
prompt adaptation
(1)
model compression
(1)
Papers
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
ACL 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
AAAI 2026
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
AAAI 2025
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
NeurIPS 2024