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2020 – today
- 2021
[c7]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Ranking with Generalized Additive Models. WSDM 2021: 499-507- 2020
- [i5]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Learning-to-Rank with Generalized Additive Models. CoRR abs/2005.02553 (2020)
2010 – 2019
- 2019
- [c6]Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi:
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. AIES 2019: 453-459 - [c5]Yupeng Cai, Tongwei Yu, Hai Qian, Yan Lu, Shengyang Lu:
Secondary Virtual Circuit Test Scheme Based on Intelligent Substation SCD File. AISI 2019: 187-193 - [c4]Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow:
Fairness in Recommendation Ranking through Pairwise Comparisons. KDD 2019: 2212-2220 - [i4]Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi:
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. CoRR abs/1901.04562 (2019) - [i3]Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow:
Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR abs/1903.00780 (2019) - [i2]Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi:
Transfer of Machine Learning Fairness across Domains. CoRR abs/1906.09688 (2019) - [i1]Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel:
Toward a better trade-off between performance and fairness with kernel-based distribution matching. CoRR abs/1910.11779 (2019) - 2017
- [j2]Roja Bandari, Zicong Zhou, Hai Qian, Timothy R. Tangherlini
, Vwani P. Roychowdhury:
A Resistant Strain: Revealing the Online Grassroots Rise of the Antivaccination Movement. Computer 50(11): 60-67 (2017) - 2014
- [j1]Hai Qian:
PivotalR: A Package for Machine Learning on Big Data. R J. 6(1): 57 (2014) - [c3]Hai Qian, Shengwen Yang, Rahul Iyer, Xixuan Feng, Mark Wellons, Caleb Welton:
Parallel Time Series Modeling - A Case Study of In-Database Big Data Analytics. PAKDD Workshops 2014: 417-428 - 2010
- [c2]Zicong Zhou, Roja Bandari, Joseph S. Kong, Hai Qian, Vwani P. Roychowdhury:
Information resonance on Twitter: watching Iran. SOMA@KDD 2010: 123-131
2000 – 2009
- 2009
- [c1]Hai Qian, Youping Fan:
Algorithm of Neural Network Ensembles and Robust Learning. ISNN (1) 2009: 813-818
Coauthor Index
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