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2020 – today
- 2022
[c4]Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh:
Multi-Resolution Attention for Personalized Item Search. WSDM 2022: 508-516- 2020
- [c3]Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang
:
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW 2020: 2870-2877 - [i3]Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal:
Modeling Information Need of Users in Search Sessions. CoRR abs/2001.00861 (2020)
2010 – 2019
- 2019
- [c2]Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John R. Anderson:
High performance Monte Carlo simulation of ising model on TPU clusters. SC 2019: 83:1-83:15 - [i2]Kun Yang, Yi-Fan Chen, George Roumpos, Chris Colby, John R. Anderson:
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters. CoRR abs/1903.11714 (2019) - 2017
- [c1]Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie:
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD 2017: 1763-1771 - [i1]Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie:
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. CoRR abs/1708.02637 (2017)
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