| 2024 | CHI | "I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization. | Sumit Asthana, Jane Im, Zhe Chen, Nikola Banovic |
| 2024 | CHI | Understanding How to Design a Social Computing System That Helps PhD Students Collectively Navigate Mistreatment or Abuse in Advising Relationships. | Jane Im, Kentaro Toyama |
| 2024 | CHI | Improving Advising Relationships Between PhD Students and Faculty in Human-Computer Interaction. | Jane Im, Himanshu Zade, Steve Oney, Pamela J. Wisniewski, Kentaro Toyama |
| 2023 | CHI | Less is Not More: Improving Findability and Actionability of Privacy Controls for Online Behavioral Advertising. | Jane Im, Ruiyi Wang, Weikun Lyu, Nick Cook, Hana Habib, Lorrie Faith Cranor, Nikola Banovic, Florian Schaub |
| 2022 | CHI | Solving Separation-of-Concerns Problems in Collaborative Design of Human-AI Systems through Leaky Abstractions. | Hariharan Subramonyam, Jane Im, Colleen M. Seifert, Eytan Adar |
| 2022 | CSCW | Consent: A Research and Design Lens for Human-Computer Interaction. | Douglas Zytko, Jane Im, Jonathan Zong |
| 2021 | CHI | Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms. | Jane Im, Jill Dimond, Melody Berton, Una Lee, Katherine Wortley Mustelier, Mark S. Ackerman, Eric Gilbert |
| 2020 | CHI | Synthesized Social Signals: Computationally-Derived Social Signals from Account Histories. | Jane Im, Sonali Tandon, Eshwar Chandrasekharan, Taylor Denby, Eric Gilbert |