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← Authors

Gengyu Lyu

27 papers · 2020–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (49)
πŸ—ΊοΈ Taxonomy Completionist (49) 🌈 Renaissance Researcher (6) πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5) πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (106) πŸ“ˆ Trend Setter

Conferences

AAAI (15) IJCAI (7) ICML (3) ACL (1) ICLR (1)

Top co-authors

Zhen Yang (14) Haobo Wang (10) Songhe Feng (10) Yuena Lin (8) Yongjian Deng (7) Yanan Wu (4) Tianlei Hu (3) Gang Chen (3) Junbo Zhao (3) Qiuru Hai (3)

Research topics

Techniques (1)

Keywords

contrastive learning (5) representation learning (4) graph neural network (4) multi-view learning (3) partial label learning (3) feature fusion (3) label disambiguation (3) multi-label classification (3) semantic fusion (2) partial multi-label learning (2) event camera (2) multi-view clustering (2) multi-view multi-label learning (2) multi-view multi-label classification (2) node classification (2) semantic segmentation (2) graph matching (2) attention mechanism (2) multi-instance learning (1) label propagation (1)

Papers

Dual Graph Disambiguation for Multi-Instance Partial-Label Learning AAAI 2026 Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion AAAI 2026 CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026 ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance AAAI 2025 CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning AAAI 2025 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection AAAI 2025 Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025 Multi-View Multi-Label Classification via View-Label Matching Selection AAAI 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary ICLR 2025 Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation AAAI 2025 MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds AAAI 2025 Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries ICML 2025 Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank ICML 2025 Critical Node-aware Augmentation for Hypergraph Contrastive Learning IJCAI 2025 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 Common-Individual Semantic Fusion for Multi-View Multi-Label Learning IJCAI 2024 SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024 SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering AAAI 2024 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning AAAI 2022 Deep Graph Matching for Partial Label Learning IJCAI 2022 GM-MLIC: Graph Matching based Multi-Label Image Classification IJCAI 2021 Partial Multi-Label Learning via Multi-Subspace Representation IJCAI 2020