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Xianli Zeng

3 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 🐣 Hot Topic Early Bird

Venues

AISTATS (1) JMLR (1) NeurIPS (1)

Top co-authors

Guang Cheng (3) Edgar Dobriban (2) Kevin Jiang (1) Joshua John Ward (1)

Research topics

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

Keywords

algorithmic fairness (1) fair classification (1) neyman-pearson lemma (1) randomized response (1) bayes optimal classifier (1) group fairness (1) model utility (1) fair machine learning (1) demographic parity (1) equalized odd (1) predictive parity (1) thresholding rule (1) fairness-aware classification (1) disparity constraint (1)

Papers

Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing JMLR 2026 FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Fair Bayes-Optimal Classifiers Under Predictive Parity NeurIPS 2022