Dongjie Wang
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (6)
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Century Club · Bronze
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Healthcare & Medicine
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Keywords
large language model
(3)
reinforcement learning
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neural network
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graph neural network
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knowledge graph
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representation learning
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transfer learning
(1)
imitation learning
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contrastive learning
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embedding learning
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knowledge transfer
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graph representation learning
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chain-of-thought reasoning
(1)
adversarial training
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discriminative learning
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label propagation
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sequence classification
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continuous optimization
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embedding space
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feature transformation
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Papers
Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer
EACL 2026
Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human–AI Collaboration
AAAI 2026
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
AAAI 2026
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
ACL 2026
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
AAAI 2025
LEKA: LLM-Enhanced Knowledge Augmentation
IJCAI 2025
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
AAAI 2025
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
AAAI 2025
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning
AAAI 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NeurIPS 2023
Multi-scale Progressive Gated Transformer for
Physiological Signal Classification
ACML 2022
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021