Ruicheng Xian

7 papers · 2020–2025 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird

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Venues

ICML (3) ICLR (2) NeurIPS (2)

Top co-authors

Han Zhao (5) Lang Yin (2) Yuzheng Hu (2) Qilong Wu (1) Ji Ma (1) Matus Telgarsky (1) Yuhang Liu (1) Honglei Zhuang (1) David Forsyth (1) Pritish Kamath (1)

Research topics

Machine Learning (6) Artificial Intelligence (5) Core AI (3) Core Methods (3) Learning Paradigms (3) Optimization & Theory (3) Mathematics & Optimization (2) Application Areas (2) Optimization (2) Natural Language Processing (1) Learning Types (1) Resources & Methods (1)

Keywords

optimal transport (2) wasserstein barycenter (2) neural tangent kernel (1) multi-task learning (1) domain adaptation (1) cross-lingual transfer (1) universal approximation (1) theoretical analysis (1) fair classification (1) fourier transform (1) ranking problem (1) hyperparameter tuning (1) multi-objective optimization (1) error rate (1) zero-shot transfer (1) privacy budget (1) domain alignment (1) pareto front (1) relu network (1) fair regression (1)

Papers

Empirical Privacy Variance ICML 2025 Differentially Private Post-Processing for Fair Regression ICML 2024 Fair and Optimal Classification via Post-Processing ICML 2023 Learning List-Level Domain-Invariant Representations for Ranking NeurIPS 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NeurIPS 2023 Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations ICLR 2022 Neural tangent kernels, transportation mappings, and universal approximation ICLR 2020