Ling Ding
7 papers · 2020–2026 · 2 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
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
Top co-authors
Research topics
Deep Learning
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Architectures
(4)
Core AI
(4)
Reinforcement Learning
(3)
Methods
(3)
Natural Language Processing
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Applications
(1)
Generation
(1)
Keywords
graph neural network
(4)
multi-agent reinforcement learning
(2)
inductive learning
(2)
knowledge graph completion
(2)
embedding learning
(1)
attention mechanism
(1)
uncertainty modeling
(1)
chinese word segmentation
(1)
curriculum learning
(1)
feature representation
(1)
message passing
(1)
mutual information
(1)
graph embedding
(1)
error propagation
(1)
token pruning
(1)
word segmentation
(1)
entity embedding
(1)
communication efficiency
(1)
global reconstruction
(1)
named entity recognition
(1)
Papers
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
AAAI 2026
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
AAAI 2026
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
ACL 2025
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
AAAI 2025
Expressive Multi-Agent Communication via Identity-Aware Learning
AAAI 2024
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
AAAI 2024
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
ACL 2020