David Liu - RankMe

15 papers A* 1A 1C 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. WWW David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2025	—	`conf`	Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings. KDD (2) David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2025	J	`jnl`	Forecasting Faculty Placement from Patterns in Co-authorship Networks. CoRR Samantha Dies, David Liu, Tina Eliassi-Rad
2025	J	`jnl`	Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations. CoRR David Liu, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
2025	—	`conf`	When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. FAccT David Liu, Jackie Baek, Tina Eliassi-Rad
2024	J	`jnl`	Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. CoRR David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2023	—	`conf`	Group fairness without demographics using social networks. FAccT David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel
2023	J	`jnl`	Group fairness without demographics using social networks. CoRR David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel
2023	A	`conf`	STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core. SDM David Liu, Tina Eliassi-Rad
2023	J	`jnl`	When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations. CoRR David Liu, Jackie Baek, Tina Eliassi-Rad
2022	J	`jnl`	BiaScope: Visual Unfairness Diagnosis for Graph Embeddings. CoRR Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin
2022	C	`conf`	Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad
2022	J	`jnl`	Identifying and Mitigating Instability in Embeddings of the Degenerate Core. CoRR David Liu, Tina Eliassi-Rad
2021	C	`conf`	RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld
2021	J	`jnl`	RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld