Liheng Yu
6 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
(18)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Analysis
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
large language model
(2)
multi-task learning
(2)
vision-language model
(2)
domain adaptation
(1)
optimal transport
(1)
knowledge transfer
(1)
prompt learning
(1)
deep learning
(1)
class imbalance
(1)
time series forecasting
(1)
human action recognition
(1)
multi-objective optimization
(1)
spatio-temporal learning
(1)
long-tailed distribution
(1)
multi-label recognition
(1)
time series decomposition
(1)
gating mechanism
(1)
skeleton-based action
(1)
resolution-invariant representation
(1)
spatiotemporal dependency
(1)
Papers
FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models
CVPR 2026
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
AAAI 2026
LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation
CVPR 2026
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
AAAI 2026
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
AAAI 2025
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
NeurIPS 2024