Changqin Huang

6 papers · 2016–2026 · 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 · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AAAI (3) IJCAI (2) ICML (1)

Top co-authors

Ming Li (4) Tingyi Cai (4) Yunliang Jiang (3) Yi Wang (3) Zhonglong Zheng (3) Feiyi Tang (1) Yang Cao (1) Jia Zhu (1) Wei Liu (1) Hua Wang (1)

Research topics

Deep Learning (5) Architectures (5) Machine Learning (3) Application Areas (3) Learning Types · Machine Learning (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

out-of-distribution detection (3) graph neural network (2) multi-label classification (1) depth estimation (1) generalization (1) energy function (1) spectral decomposition (1) state space model (1) node classification (1) energy-based model (1) uncertainty propagation (1) ood detection (1) cross-modal fusion (1) hypergraph neural network (1) heterophilic graph (1) edge distribution shift (1) symbolic energy (1) node injection attack (1) energy regularization (1) attack effectiveness (1)

Papers

Exploiting All Mamba Fusion for Efficient RGB-D Tracking AAAI 2026 HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026 All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025 HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks ICML 2025 ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025 PARecommender: A Pattern-Based System for Route Recommendation IJCAI 2016