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Xiuyi Jia

21 papers · 2019–2026 · 7 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (13) πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (79) πŸ”₯ Unstoppable Β· Bronze

Venues

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

Top co-authors

Weiwei Li (13) Yunan Lu (9) Huaxiong Li (4) Zhuoran Zheng (3) Zechao Li (3) Chao Zhang (3) Chunlin Chen (3) Tingting Ren (2) Haitao Wu (2) Xiaochun Cao (2)

Research topics

Machine Learning (18) Core Methods (17) Learning Types (7) Artificial Intelligence (5) Deep Learning (4) Computer Vision (3) Data Science & Analytics (2) Bayesian & Probabilistic (2) Core AI (2) Models (2) Processing (2) Analysis (1) Application Areas (1) Applications (1) Architectures (1)

Keywords

label distribution learning (12) label enhancement (6) multi-label learning (4) label distribution (4) low-rank approximation (3) multi-label classification (3) image restoration (2) variational inference (2) gaussian mixture (2) label polysemy (2) multi-view clustering (2) generative model (2) label correlation (2) bilateral learning (2) image dehazing (1) image reconstruction (1) emotion recognition (1) bayesian learning (1) dirichlet process (1) weakly supervised learning (1)

Papers

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