Minglai Shao
15 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
🗃️
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Application Areas
(7)
Core AI
(7)
Deep Learning
(5)
Core Methods
(5)
Architectures
(4)
Learning Types
(3)
Data Science & Analytics
(2)
Applications
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
contrastive learning
(3)
graph neural network
(3)
domain generalization
(3)
large language model
(3)
domain adaptation
(2)
prompt engineering
(2)
out-of-distribution detection
(2)
semantic knowledge
(1)
in-context learning
(1)
benchmark evaluation
(1)
graph representation learning
(1)
sequential decision making
(1)
algorithmic fairness
(1)
expert finding
(1)
distribution shift
(1)
collaborative filtering
(1)
label noise
(1)
user modeling
(1)
bayesian optimization
(1)
message passing
(1)
Papers
Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning
CVPR 2026
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
AAAI 2026
LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
AAAI 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
AAAI 2026
A Survey on LLM-powered Agents for Recommender Systems
EMNLP 2025
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
IJCAI 2025
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender
IJCAI 2025
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
IJCAI 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
IJCAI 2025
Graph Bayesian Optimization for Multiplex Influence Maximization
AAAI 2024
Graph Collaborative Expert Finding with Contrastive Learning
IJCAI 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
IJCAI 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
IJCAI 2024
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling
EMNLP 2023