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Yongqi Huang

4 papers · 2024–2026 · 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 ❓ The Questioner

Venues

AAAI (3) CVPR (1)

Top co-authors

Jitao Zhao (3) Dongxiao He (3) Zhiyong Feng (2) Yuxiao Huang (2) Cuiying Huo (1) Lianze Shan (1) Tao Chen (1) Weixiong Zhang (1) Chenyu Huang (1) Jianjian Cao (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (4) Learning Types · Machine Learning (3) Artificial Intelligence (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

graph neural network (3) graph contrastive learning (2) graph representation learning (2) representation learning (2) self-supervised learning (2) infonce loss (1) negative sampling (1) neural network (1) representative negative sample (1) universal encoder (1) graph pre-training (1) model compression (1) model upcycling (1) matrix decomposition (1) parameter efficiency (1) heterogeneous graph (1) discriminative representation (1)

Papers

MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models CVPR 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024