Zhixun Li
8 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Application Areas
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
graph neural network
(3)
data pruning
(2)
coreset selection
(2)
transfer learning
(1)
molecular machine learning
(1)
code generation
(1)
prototype learning
(1)
token efficiency
(1)
message passing
(1)
robust learning
(1)
node classification
(1)
graph structure learning
(1)
knowledge graph
(1)
adversarial defense
(1)
pre-trained model
(1)
graph representation
(1)
scaling law
(1)
imbalanced learning
(1)
vision-language model
(1)
graph classification
(1)
Papers
RealChart2Code: Bridging the Gap in Real-World Chart-to-Code Generation via Multi-Task Evaluation
ACL 2026
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
ACL 2026
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
ICLR 2025
A Survey of Graph Meets Large Language Model: Progress and Future Directions
IJCAI 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NeurIPS 2024
GSLB: The Graph Structure Learning Benchmark
NeurIPS 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NeurIPS 2023