Qingtian Zeng

5 papers · 2025–2026 · 2 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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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) ⭐ Rising Star (5) ❓ The Questioner (2)

Venues

AAAI (3) IJCAI (2)

Top co-authors

Zhongying Zhao (5) CHAO LI (5) Hui Zhou (3) Gen Liu (3) Jinyu Zhang (1) Guangkai Wu (1) Yanwei Yu (1) Runshuo Liu (1) Chuanxu Jia (1) Qi Meng (1)

Research topics

Deep Learning (5) Machine Learning (5) Architectures (5) Core Methods (4) Application Areas (2) Learning Types (2) Models (1) Techniques (1)

Keywords

graph neural network (3) node classification (2) curriculum learning (1) uncertainty quantification (1) knowledge distillation (1) data augmentation (1) class imbalance (1) graph structure learning (1) generative model (1) graph transformer (1) dynamic graph (1) sequential recommendation (1) frequency encoding (1) linear attention (1) lightweight model (1) sample reweighting (1) mutual guidance (1) time-frequency attention (1) periodic decomposition (1) anomaly detection (1)

Papers

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method AAAI 2026 DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification AAAI 2026 FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026 CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation IJCAI 2025 Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs IJCAI 2025