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Luyao Tang

9 papers · 2022–2026 · 4 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🔥 Unstoppable · Bronze

Venues

ICCV (3) NeurIPS (3) AAAI (2) CVPR (1)

Top co-authors

Chaoqi Chen (9) Yue Huang (7) Yuxuan Yuan (4) Yizhou Yu (3) Xinghao Ding (3) Xiaoguang Han (2) Zeyu Zhang (1) Chenxin Li (1) Feng Liu (1) Xiaotong Tu (1)

Research topics

Machine Learning (9) Application Areas (6) Learning Types · Machine Learning (5) Computer Vision (4) Analysis (4) Core Methods (4) Deep Learning (3) Artificial Intelligence (2) Core AI (2) Learning Types · Deep Learning (2) Domain-Specific (1) Models (1)

Keywords

domain generalization (7) open-set recognition (3) representation learning (3) unknown class detection (2) domain adaptation (2) consensus learning (1) test-time adaptation (1) adversarial robustness (1) object detection (1) object recognition (1) feature learning (1) semantic representation (1) embedding space (1) relational reasoning (1) concept learning (1) distribution shift (1) decision boundary (1) foundation model (1) uncertainty estimation (1) contrastive learning (1)

Papers

4D Point Cloud Segmentation via Active Test-Time Adaptation AAAI 2026 Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score AAAI 2026 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching ICCV 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025 Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity NeurIPS 2024 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NeurIPS 2023 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NeurIPS 2022