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

• (Jun ‘23) I studied for a while how we can exploit pseudolabels in many learning settings to improve vision-language models like CLIP. Check out what we found in this new paper!
• (Feb ‘23) Register to the Woman in Data Science datathon organized by DSI at Brown University!
• (Dec ‘22) I gave a talk about Wikipedia’s structural bias at COSC-355 Network Science @ Amherst College!
• (Sept ‘22) Our paper on theoretical limitis of zero-shot learning has been accepted at NeurIPS 2022!
• (Aug ‘22) I presented TAGLETS at MLSys 2022 in Santa Clara!
• (Jun ‘22) Our work demonstrating that #MyBodyMyChoice is not uniquely associated to women’s rights after Covid-19 has received an honorable mention for the best paper award at WebSci 2022! 🏆

📝 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]