Zhou Wang

Biography

I am currently working as a Machine Learning Engineer at LinkedIn.

I earned my Ph.D. in Mathematics and Statistics from Binghamton University, under the supervision of Professor Xingye Qiao. My research focuses on designing machine learning and deep learning methods with theoretical guarantees in critical domains. The topics cover set-valued classification, conformal prediction, out-of-distribution detection, bandit problems, constrained optimization, etc.

Selected Papers

Generalized Prediction Sets with Bandit Feedback

Zhou Wang, Xingye Qiao

Transactions on Machine Learning Research, 2025. ISSN 2835-8856.

Efficient Online Set-valued Classification with Bandit Feedback

Zhou Wang, Xingye Qiao

Forty-first International Conference on Machine Learning, 2024.

Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees

Zhou Wang, Xingye Qiao

Transactions on Machine Learning Research, 2024. ISSN 2835-8856. (Featured Certification)

Set-valued Classification with Out-of-distribution Detection for Many Classes

Zhou Wang, Xingye Qiao

Journal of Machine Learning Research, 24(375):1–39, 2023.

Services

Conference Reviewer: NeurIPS (2022-2024), ICML (2023-2025), ICLR (2023)

Working Experience

November 2025: Joined LinkedIn as a Software Engineer in Machine Learning
June 2024: Joined ByteDance as a Machine Learning Engineer

Teaching Experience

MATH 329 Introduction to Scientific Computing (Summer 2021, Winter 2022)
MATH 327 Probability with Statistical Methods (Spring 2023)

MATH 227 Infinite Series (Spring 2021, Spring 2022, Summer 2023)
MATH 226 Integration Techniques and Application (Spring 2021, Spring 2022)
MATH 225 Integral Calculus (Fall 2020, Fall 2021, Fall 2022, Fall 2023)
MATH 224 Differential Calculus (Fall 2020, Fall 2021, Fall 2022, Fall 2023)
MATH 220 Calculus for Business and Management (Summer 2022)

MATH 147 Elementary Statistics (Fall 2019, Spring 2020)

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