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Xiuyi Jia

21 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5)
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (11) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (65) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (7)

Conferences

AAAI (6) IJCAI (6) ICML (3) CVPR (2) NIPS (2) ICCV (1) UAI (1)

Papers

Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Approximately Correct Label Distribution Learning ICML 2025 Adaptive-Grained Label Distribution Learning AAAI 2025 LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning ICML 2025 Divide and Conquer: Learning Label Distribution with Subtasks ICML 2025 Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024 Learning Cluster-Wise Anchors for Multi-View Clustering AAAI 2024 Trusted re-weighting for label distribution learning UAI 2024 Predicting Label Distribution from Ternary Labels NIPS 2024 Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024 Generative Label Enhancement with Gaussian Mixture and Partial Ranking AAAI 2023 Label Enhancement via Joint Implicit Representation Clustering IJCAI 2023 Predicting Label Distribution from Multi-label Ranking NIPS 2022 Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning ICCV 2021 Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning CVPR 2021 Tensor-based multi-view label enhancement for multi-label learning IJCAI 2020 Privileged label enhancement with multi-label learning IJCAI 2020 Label Distribution Learning with Label Correlations via Low-Rank Approximation IJCAI 2019 Label distribution learning with label-specific features IJCAI 2019 Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally CVPR 2019