Yuze Han

6 papers · 2022–2026 · 2 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 (3) NeurIPS (3)

Top co-authors

Zhihua Zhang (6) Xiang Li (4) Shiyun Lin (2) Jiadong Liang (1) Haishan Ye (1) Dachao Lin (1) Guangzeng Xie (1)

Research topics

Machine Learning (6) Optimization & Theory (5) Mathematics & Optimization (4) Optimization (4) Learning Paradigms · Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Learning Paradigms · Artificial Intelligence (2) Learning Types (1) Mathematics (1)

Keywords

federated learning (3) stochastic approximation (2) communication efficiency (2) adversarial robustness (2) personalized model (2) distributed optimization (1) minimax optimization (1) incremental gradient (1) asymptotic analysis (1) variance reduction (1) random projection (1) stochastic differential equation (1) local linearity (1) mean square error (1) step size (1) personalized learning (1) lower complexity bound (1) infimal convolution (1) jump diffusion (1) model fairness (1)

Papers

Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation JMLR 2026 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022