Zhixin ZHOU

Prof. Zhixin ZHOU, 周至心

(Former)

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
20192024

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0003-3737-9248
Scopus Author ID: 57214933211

Impact

Qualifications (Brief)

PhD - Statistics (UCLA)

Biography

Dr. Zhou is an Assistant Professor of Management Sciences at the College of Business, City University of Hong Kong. He received his bachelor degree in applied math from UC Berkeley and Ph.D. degree in statistics from UCLA. His current research interest includes random tensor theory, minimax theory of PCA and experimental design on network data. He is also interested in information retrieval, neural ranking and generative adversarial network. 

Prizes/Honours

Dorothea Klumpke Roberts Prize in Mathematics, University of California, Berkeley. (2012)

First-Year University Fellowship, University of California, Los Angeles. (2015)

Dissertation Year Fellowship, University of California, Los Angeles. (2018)

Activities

Presentations and Talks

Social Network Clustering (City University of Hong Kong (2/22/2019)

Pseudo-Likelihood Method for Community Detection in Bipartite Graph (UCLA, 2/27/2017)

Uniqueness of Hyperfinite II1 Factor (UCLA, 12/17/2014)

Research Interests/Areas

I am interested in network analysis, high-dimensional statistics, information theory, sequential design, stochastic process and efficient search in recommendation system.

Teaching

Teaching Assistant
Teaching calculus, mathematical analysis, probability and statistics classes (UCLA, 9/23/2012 - 9/15/2017)

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Collaborations from the last five years

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  • Adaptive randomization in network data

    Zhou, Z., Li, P. & Hu, F., 2024, In: Electronic Journal of Statistics. 18, 1, p. 47-76

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Open Access
    File
    28 Downloads (CityUHK Scholars)
  • Statistical Guarantees for Consensus Clustering

    Zhou, Z., Dudeja, G. & Amini, A. A., 2023, The Eleventh International Conference on Learning Representations, ICLR 2023. International Conference on Learning Representations, ICLR, 24 p. (International Conference on Learning Representations, ICLR).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

  • Norm Adjusted Proximity Graph for Fast Inner Product Retrieval

    Tan, S., Xu, Z., Zhao, W., Fei, H., Zhou, Z. & Li, P., Aug 2021, KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery, p. 1552–1560 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    19 Citations (Scopus)
  • Principal Subspace Estimation Under Information Diffusion

    Zhou, F., Li, P. & Zhou, Z., Apr 2021, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021. Banerjee, A. & Fukumizu, K. (eds.). p. 3205-3213 (Proceedings of Machine Learning Research; vol. 130).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    2 Citations (Scopus)
  • Rate-Optimal Subspace Estimation on Random Graphs

    Zhou, Z., Zhou, F., Li, P. & Zhang, C.-H., Dec 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Vaughan, J. W. (eds.). Neural Information Processing Systems (NeurIPS), p. 20283-20294 12 p. (Advances in Neural Information Processing Systems; vol. 34).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Open Access
    2 Citations (Scopus)