Chuxu Zhang
45 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (7)
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Interdisciplinary Bridge
π
Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(10)
π€
Dynamic Duo
(20)
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(23)
π
Keyword Champion
(3)
π₯
Unstoppable
(8)
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Conference Pioneer
β‘
Prolific Year
(8)
β
The Questioner
ποΈ
Keyword Collector
(153)
π
Century Club
(39)
π
Trend Setter
Conferences
AAAI (12)
IJCAI (10)
ICML (5)
ICLR (4)
NIPS (4)
ACL (3)
EACL (3)
EMNLP (2)
NAACL (1)
UAI (1)
Top co-authors
Keywords
graph neural network
(24)
representation learning
(5)
knowledge graph
(5)
heterogeneous graph
(5)
few-shot learning
(5)
knowledge distillation
(5)
node classification
(4)
large language model
(4)
contrastive learning
(4)
knowledge transfer
(3)
graph representation
(3)
self-supervised learning
(3)
graph classification
(3)
question answering
(3)
heterogeneous graph neural network
(3)
unsupervised learning
(2)
anomaly detection
(2)
reinforcement learning
(2)
transfer learning
(2)
class imbalance
(2)
Papers
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
EACL 2026
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
EACL 2026
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
ACL 2026
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
AAAI 2026
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
EACL 2026
Can LLMs Convert Graphs to Text-Attributed Graphs?
NAACL 2025
Graph Neural Networks for Databases: A Survey
IJCAI 2025
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
ACL 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
Beyond Message Passing: Neural Graph Pattern Machine
ICML 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
GFT: Graph Foundation Model with Transferable Tree Vocabulary
NIPS 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 2024
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
ICML 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
ICLR 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
UAI 2024
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
AAAI 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
AAAI 2023
Towards Societal Impact of AI
AAAI 2023
Heterogeneous Graph Masked Autoencoders
AAAI 2023
Graph-based Molecular Representation Learning
IJCAI 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
ICLR 2023
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NIPS 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
NIPS 2022
SAIL: Self-Augmented Graph Contrastive Learning
AAAI 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
IJCAI 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
IJCAI 2022
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
IJCAI 2022
Few-Shot Learning on Graphs
IJCAI 2022
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
IJCAI 2021
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
NIPS 2021
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
EMNLP 2020
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction
IJCAI 2020
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
Few-Shot Knowledge Graph Completion
AAAI 2020
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
AAAI 2019
Multi-Order Attentive Ranking Model for Sequential Recommendation
AAAI 2019
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
IJCAI 2018