Zhigang Hua

5 papers · 2021–2026 · 3 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AAAI (2) ICLR (2) NeurIPS (1)

Top co-authors

Bo Long (4) Yan Xie (3) Si Zhang (2) Dongqi Fu (2) Jin Fang (2) Andrey Malevich (2) Kaan Sancak (2) Hao Wu (2) Jingzhe Liu (1) Jingrui He (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (4) Techniques (3) Core Methods (2) Learning Types (2) Artificial Intelligence (1) Computer Science (1) Mathematics & Optimization (1) Application Areas (1) Core AI (1) Foundations (1) Optimization (1) Optimization & Theory (1)

Keywords

graph transformer (3) self-supervised learning (2) graph neural network (2) vector quantization (1) machine learning (1) graph optimization (1) bilevel optimization (1) global convolution (1) personalized pagerank (1) graph algorithm (1) node representation (1) graph edit distance (1) long-range dependency (1) graph data augmentation (1) virtual connection (1) hierarchical tokenization (1) neural network (1) neighborhood propagation (1) heuristic algorithm (1) cold-start setting (1)

Papers

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation AAAI 2026 A Scalable and Effective Alternative to Graph Transformers AAAI 2025 Learning Graph Quantized Tokenizers ICLR 2025 VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ICLR 2024 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NeurIPS 2021