Cristina Menghini

Ciao visitor, this is Cristina! 👋

I’m a postdoc in the Computer Science department at Brown University 🇺🇸, where I do fun research in the BATS lab led by Stephen Bach. I study how we can democratize the usage of large models by investigating efficient approaches to adapt them to specialized domains.

I arrived at Brown as Visiting Ph.D. student and worked with Eli Upfal and Matteo Riondato. In July 2021, I defended my Ph.D. thesis in Computer Engineering from Sapienza University 🇮🇹, advised by Aris Anagnostopoulos and Stefano Leonardi.

I earned my master’s degree in Data Science at Sapienza University, after a one-year exchange in the School of Computer and Communication Sciences at EPFL 🇨🇭, where I joined Data Science Lab led by Robert West. Before that, I got a bachelor’s degree in Statistics, Economics, and Finance at Sapienza University.

📻 News

📝 Publications

  1. Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
    Preprint
    C. Menghini, A. Delworth, S. H. Bach
    [pdf][code]

  2. Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights
    Data Mining and Knowledge Discovery 2022
    S. Haddadan, C. Menghini, M. Riondato, E. Upfal
    [pdf]

  3. Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
    Neurips 2022
    A. Mazzetto *, C. Menghini *, A. Yuan, E. Upfal, S. H. Bach
    [pdf]

  4. The Drift of #MyBodyMyChoice Discourse on Twitter
    WebSci 2022 - 🏆 Best Paper Award Honorable Mention
    C. Menghini, J. Uhr, S. Haddadan, A. Champagne, B. Sandstede, S. Ramachandran
    [pdf]

  5. TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
    Machine Learning and Systems 2022
    W. Piriyakulkij, C. Menghini, R. Briden, N. V. Nayak, J. Zhu, E. Raisi, S. H. Bach
    [pdf]

  6. Algorithms for fair k-clustering with multiple protected attributes
    Operations Research Letters 2021
    M. Bohm, A. Fazzone, S. Leonardi, C. Menghini, C. Schwiegelshohn
    [pdf]

  7. RePBubLik: Reducing polarized bubble radius with link insertions
    WSDM 2021 - 🏆 Best Paper Award Honorable Mention
    S. Haddadan, C. Menghini, M. Riondato, E. Upfal
    [pdf]

  8. How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics?
    Big Data 2021
    C. Menghini, A. Anagnostopoulos, E. Upfal
    [pdf]

  9. Spectral Relaxations and Fair Densest Subgraphs
    CIKM 2021
    A. Anagnostopoulos, L. Becchetti, A. Fazzone, C. Menghini, C. Schwiegelshohn
    [pdf]

  10. Wikipedia Polarization and Its Effects on Navigation Paths
    Big Data 2019
    C. Menghini, A. Anagnostopoulos, E. Upfal
    [pdf]

  11. Compiling Questions into Balanced Quizzes about Documents
    CIKM 2018
    C. Menghini, J. Dehler-Zufferey, R. West
    [pdf]