conftrace_

Chuxu Zhang

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

Achievements

Jump to papers ↓
+15 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (10) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (7)
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) ACL (3) EACL (3) EMNLP (2) NAACL (1) UAI (1)

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