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Shiyun Lin

4 papers · 2022–2026 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

JMLR (2) AAAI (1) NeurIPS (1)

Top co-authors

Zhihua Zhang (2) Xiang Li (2) Yuze Han (2) Kangkang Jiang (1) Junhao Huang (1) Junxian Zhu (1) Jin Zhu (1) Liyuan Hu (1) YanHang Zhang (1) Xueqin Wang (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Optimization & Theory (3) Mathematics & Optimization (2) Application Areas (2) Learning Paradigms · Artificial Intelligence (2) Learning Paradigms · Machine Learning (2) Optimization (2) Core AI (1) Core Methods (1) Learning Types (1)

Keywords

communication efficiency (2) personalized model (2) adversarial robustness (2) federated learning (2) feature selection (1) preference learning (1) sparse regression (1) sparse optimization (1) multi-armed bandit (1) random projection (1) matching market (1) personalized learning (1) best subset selection (1) infimal convolution (1) model fairness (1) housing market (1) random subspace projection (1) core regret (1) model selection (1) variable selection (1)

Papers

Bandit Learning in Housing Markets AAAI 2026 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022