Mingzhong Wang
11 papers · 2018–2026 · 2 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(11)
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Keyword Collector
(64)
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Trend Setter
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Century Club Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Learning Types Β· Machine Learning
(6)
Architectures
(5)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Methods
(4)
Knowledge & Reasoning
(3)
Core AI
(3)
Core Methods
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Representation
(2)
Data Science & Analytics
(1)
Keywords
graph neural network
(3)
reinforcement learning
(2)
meta-reinforcement learning
(2)
task inference
(2)
knowledge graph embedding
(2)
multi-relational network
(2)
wavelet transform
(1)
confidence calibration
(1)
offline reinforcement learning
(1)
belief state
(1)
value iteration
(1)
partially observable markov decision process
(1)
graph embedding
(1)
time series forecasting
(1)
markov decision process
(1)
context-aware learning
(1)
generative model
(1)
multivariate time series
(1)
probabilistic model
(1)
deep learning
(1)
Papers
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
AAAI 2026
Generative Branching for Mixed-Integer Linear Programming
AAAI 2026
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
AAAI 2026
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
AAAI 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
AAAI 2024
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
AAAI 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
AAAI 2023
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
AAAI 2022
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
IJCAI 2019
Non-translational Alignment for Multi-relational Networks
IJCAI 2018