Ming He
9 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(27)
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The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(6)
Deep Learning
(4)
Natural Language Processing
(3)
Application Areas
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Architectures
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
large language model
(4)
personalized search
(2)
graph neural network
(2)
attention mechanism
(2)
information retrieval
(1)
multimodal learning
(1)
sequence labeling
(1)
mixture of expert
(1)
graph structure
(1)
instruction tuning
(1)
iterative refinement
(1)
causal structure
(1)
semantic space
(1)
large-scale image classification
(1)
deep neural network
(1)
graph representation
(1)
gaussian distribution
(1)
variational autoencoder
(1)
semantic similarity
(1)
causal structure learning
(1)
Papers
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
ICML 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
AAAI 2025
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
NAACL 2025
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
ACL 2025
Multi-View Empowered Structural Graph Wordification for Language Models
AAAI 2025
ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research
ACL 2025
Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search
EMNLP 2025
DeepME: Deep Mixture Experts for Large-scale Image Classification
IJCAI 2021
Guided Attention Network for Concept Extraction
IJCAI 2021