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Miao Xu

27 papers · 2013–2026 · 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ† Keyword Champion (2) 🌈 Renaissance Researcher (8) πŸ”₯ Unstoppable Β· Silver ❓ The Questioner ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (122)

Venues

IJCAI (6) NeurIPS (6) ICML (5) AAAI (3) CVPR (3) ACL (1) ACML (1) ICLR (1) MICCAI (1)

Top co-authors

Masashi Sugiyama (7) Gang Niu (6) Weitong Chen (5) Bo Han (4) Lei Feng (4) Min-ling Zhang (3) Jinlin Wu (3) Zhen Lei (3) Xin Geng (3) Jiaqi Lv (3)

Research topics

Machine Learning (20) Learning Types Β· Machine Learning (17) Core Methods (11) Application Areas (9) Optimization & Theory (7) Deep Learning (6) Artificial Intelligence (4) Core AI (4) Data Science & Analytics (3) Mathematics & Optimization (3) Applications (3) Learning Types Β· Deep Learning (3) Computer Vision (2) Models (2) Optimization (2)

Keywords

machine unlearning (5) partial label learning (3) weakly supervised learning (3) label noise (3) noisy label (2) trace norm minimization (2) unbiased risk estimator (2) matrix completion (2) risk estimation (2) data privacy (2) model forgetting (2) positive-unlabeled learning (2) representation learning (2) binary classification (2) multi-class classification (2) backdoor attack (2) noisy label learning (1) collaborative filtering (1) reinforcement learning (1) multi-label learning (1)

Papers

Multimodal Causality-Driven Representation Learning for Generalizable Medical Image Segmentation CVPR 2026 ReGenHOI: Unifying Reconstruction and Generation for 3D Human-Object Interaction Understanding CVPR 2026 Test-Time Attention Purification for Backdoored Large Vision Language Models CVPR 2026 VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG ACL 2026 Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes MICCAI 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Countering Relearning with Perception Revising Unlearning ACML 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Unlearning from Weakly Supervised Learning IJCAI 2024 What Makes Partial-Label Learning Algorithms Effective? NeurIPS 2024 Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning IJCAI 2023 Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NeurIPS 2022 Pointwise Binary Classification with Pairwise Confidence Comparisons ICML 2021 Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021 Self-Supervised Adversarial Distribution Regularization for Medication Recommendation IJCAI 2021 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 Provably Consistent Partial-Label Learning NeurIPS 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NeurIPS 2020 Clipped Matrix Completion: A Remedy for Ceiling Effects AAAI 2019 Co-teaching: Robust training of deep neural networks with extremely noisy labels NeurIPS 2018 Incomplete Label Distribution Learning IJCAI 2017 CUR Algorithm for Partially Observed Matrices ICML 2015 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013