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Shuo He

10 papers · 2019–2026 · 6 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint
πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (52)

Venues

AAAI (3) ICML (3) CVPR (1) ICCV (1) ICLR (1) IJCAI (1)

Top co-authors

Lei Feng (9) Bo An (4) Qi Wei (3) Zhifang Zhang (2) Guowu Yang (2) Haobo Wang (2) Feng Liu (2) Yuwei Niu (1) Roy Ka-Wei Lee (1) Wei Emma Zhang (1)

Research topics

Machine Learning (8) Artificial Intelligence (6) Core AI (5) Core Methods (5) Learning Types Β· Machine Learning (5) Deep Learning (3) Learning Types Β· Deep Learning (3) Application Areas (2) Reinforcement Learning (1) Applications (1) Bayesian & Probabilistic (1) Optimization & Theory (1)

Keywords

backdoor attack (3) clip (2) large language model (2) label disambiguation (2) candidate label (2) partial label learning (2) multi-instance learning (1) sim-to-real transfer (1) reinforcement learning (1) model merging (1) multimodal learning (1) semi-supervised learning (1) image patches (1) multi-class classification (1) collaborative learning (1) adversarial machine learning (1) collaborative prediction (1) risk estimation (1) machine learning security (1) multi-label learning (1)

Papers

Test-Time Attention Purification for Backdoored Large Vision Language Models CVPR 2026 A Closer Look at Backdoor Attacks on CLIP ICML 2025 HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models IJCAI 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025 Test-Time Multimodal Backdoor Detection by Contrastive Prompting ICML 2025 Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning ICLR 2024 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023 Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning ICCV 2023 Collaboration Based Multi-Label Learning AAAI 2019