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Xuefeng Liu

23 papers · 2020–2026 · 9 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (53) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive ❓ The Questioner (2) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (128)

Venues

AAAI (4) CVPR (3) ICCV (3) ICML (3) IJCAI (3) ICLR (2) MLHC (2) NeurIPS (2) EMNLP (1)

Top co-authors

Jianwei Niu (15) Shaojie Tang (9) Guogang Zhu (5) Xinghao Wu (5) Rick L. Stevens (4) Hao Su (4) Yuxin Chen (3) Songhao Jiang (3) Zhengsu Chen (3) Lingxi Xie (2)

Research topics

Machine Learning (15) Artificial Intelligence (12) Deep Learning (12) Learning Types (8) Computer Vision (7) Architectures (6) Core AI (6) Learning Paradigms (6) Optimization & Theory (6) Application Areas (5) Analysis (4) Reinforcement Learning (3) Methods (3) Models (3) Techniques (3)

Keywords

federated learning (5) transfer learning (2) sample efficiency (2) attention mechanism (2) policy gradient (2) imitation learning (2) policy improvement (2) model architecture (2) regret bound (2) convolutional neural network (2) semi-supervised learning (2) probabilistic modeling (1) reinforcement learning (1) online learning (1) image generation (1) contrastive learning (1) differential privacy (1) feature learning (1) vision transformer (1) image classification (1)

Papers

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning CVPR 2026 Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026 Bidirectional Hierarchical Protein Multi-Modal Representation Learning MLHC 2025 Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation EMNLP 2025 Causality Inspired Federated Learning for OOD Generalization ICML 2025 DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models AAAI 2025 Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation ICCV 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 OpenVIS: Open-vocabulary Video Instance Segmentation AAAI 2025 ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization MLHC 2025 BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation IJCAI 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Contextual Active Model Selection NeurIPS 2024 Entropy-Reinforced Planning with Large Language Models for Drug Discovery ICML 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Why Go Full? Elevating Federated Learning Through Partial Network Updates NeurIPS 2024 Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration ICCV 2023 ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes CVPR 2021 MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing AAAI 2021 Visformer: The Vision-Friendly Transformer ICCV 2021 Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020 SelectScale: Mining More Patterns from Images via Selective and Soft Dropout IJCAI 2020