Guibin Zhang
25 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π€ Dynamic Duo (12) π Triple Crown
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Grand Slam
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Deep Specialist
(12)
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Keyword Collector
(122)
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(20)
Core AI
(17)
Deep Learning
(16)
Machine Learning
(14)
Architectures
(12)
Application Areas
(9)
Learning Paradigms
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Methods
(1)
Keywords
graph neural network
(11)
large language model
(6)
multi-agent system
(6)
federated graph learning
(4)
coreset selection
(2)
adversarial robustness
(2)
communication topology
(2)
data pruning
(2)
model pruning
(2)
lottery ticket hypothesis
(2)
model routing
(2)
prototype learning
(1)
catastrophic forgetting
(1)
cluster analysis
(1)
causal reasoning
(1)
reinforcement learning
(1)
causal inference
(1)
visual grounding
(1)
transfer learning
(1)
data augmentation
(1)
Papers
AgentAsk: Multi-Agent Systems Need to Ask
ACL 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
EvoRoute: Experience-Driven Self-Routing LLM Agent Systems
ACL 2026
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
AAAI 2026
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
ACL 2026
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
CVPR 2026
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
ICLR 2025
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
ICML 2025
Energy-based Backdoor Defense Against Federated Graph Learning
ICLR 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
AAAI 2025
FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
CVPR 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
ICML 2025
Graph Sparsification via Mixture of Graphs
ICLR 2025
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
ACL 2025
MasRouter: Learning to Route LLMs for Multi-Agent Systems
ACL 2025
Multi-agent Architecture Search via Agentic Supernet
ICML 2025
NetSafe: Exploring the Topological Safety of Multi-agent System
ACL 2025
Rationalizing and Augmenting Dynamic Graph Neural Networks
ICLR 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NeurIPS 2024
Graph Lottery Ticket Automated
ICLR 2024
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
ICLR 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
ICML 2024