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Zhizhi Yu

15 papers · 2020–2026 · 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🀝 Dynamic Duo (11)
πŸ† Keyword Champion (3) πŸ”¬ Deep Specialist (11) πŸ—ƒοΈ Keyword Collector (70) ⚑ Prolific Year Β· Productive πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

AAAI (6) IJCAI (6) NeurIPS (2) EMNLP (1)

Top co-authors

Di Jin (11) Dongxiao He (11) Zhiyong Feng (5) Weixiong Zhang (3) Jianguo Wei (3) Xinglong Chang (2) Ling Ding (2) Lei Huang (2) Cuiying Huo (2) Zelin Zang (1)

Research topics

Machine Learning (14) Core Methods (12) Deep Learning (11) Architectures (11) Learning Types Β· Machine Learning (7) Data Science & Analytics (3) Application Areas (3) Applications (3) Learning Types Β· Deep Learning (3) Artificial Intelligence (2) Knowledge & Reasoning (2) Core AI (2) Representation (2) Techniques (2) Learning Paradigms (1)

Keywords

graph neural network (11) node classification (3) neighborhood aggregation (3) anomaly detection (2) contrastive learning (2) knowledge graph completion (2) neighbor aggregation (2) message passing (2) graph convolutional network (2) inductive learning (2) representation learning (2) node representation (2) task-oriented dialogue (1) graph representation learning (1) transfer learning (1) collaborative filtering (1) graph anomaly detection (1) multi-task learning (1) embedding learning (1) knowledge base (1)

Papers

ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026 Attribute Association Driven Multi-Task Learning for Session-based Recommendation IJCAI 2025 CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems EMNLP 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection IJCAI 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Joint Domain Adaptive Graph Convolutional Network IJCAI 2024 LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024 Universal Graph Convolutional Networks NeurIPS 2021 Community-Centric Graph Convolutional Network for Unsupervised Community Detection IJCAI 2020