← Authors

Chuxu Zhang

44 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (4) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (10) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (23) πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer ⚑ Prolific Year (8) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (153) πŸ’Ž Century Club (39) πŸ“ˆ Trend Setter

Conferences

AAAI (12) IJCAI (10) ICML (5) ICLR (4) NIPS (4) EACL (3) ACL (2) EMNLP (2) NAACL (1) UAI (1)

Top co-authors

Yanfang Ye (23) Yijun Tian (11) Nitesh V. Chawla (11) Zheyuan Zhang (10) Xiangliang Zhang (8) Zehong Wang (8) Chunhui Zhang (8) Qianlong Wen (6) Zhichun Guo (5) Tianyi Ma (5)

Keywords

graph neural network (23) representation learning (5) few-shot learning (5) knowledge distillation (5) heterogeneous graph (5) node classification (4) contrastive learning (4) large language model (4) knowledge graph (4) knowledge transfer (3) graph representation (3) self-supervised learning (3) graph classification (3) heterogeneous graph neural network (3) unsupervised learning (2) anomaly detection (2) reinforcement learning (2) transfer learning (2) class imbalance (2) adversarial attack (2)

Papers

MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering EACL 2026
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs AAAI 2026
Adaptive and Context-rich Generative Self-supervised Learning on Graphs AAAI 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
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble ICML 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary NIPS 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency ICLR 2023
Graph-based Molecular Representation Learning IJCAI 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
Heterogeneous Graph Masked Autoencoders AAAI 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023
Towards Societal Impact of AI AAAI 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 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
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