Jack Langman

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 3

Top Topics

Hierarchical Models

Deep Belief Networks

Collaborative Filtering

Top Venues

Publications

Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. ISCA (2022)
Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. CoRR (2021)
Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman
Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters. KDD (2021)