Jiyan Yang

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My research interests are in randomized linear algebra, large-scale optimization and machine learning. I am also interested in big data analytics and enthusiastic about leveraging methods from machine learning for large-scale applications.

Research Interests

Papers共 38 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

AutoML for Large Capacity Modeling of Meta's Ranking Systems

Hang Yin, Kuang-Hung Liu,Mengying Sun,Yuxin Chen,Buyun Zhang,Jiang Liu, Vivek Sehgal, Rudresh Panchal, Eugen Hotaj,Xi Liu, Daifeng Guo, Jamey Zhang,

WWW 2024（2024）

Cited0Views0EIBibtex

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale

Wei Wen, Kuang-Hung Liu,Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani,Mengying Sun,Jiang Liu, Xu Wang, Lin Jiang,Yuxin Chen,

WWW 2024 (2024): 73-82

Cited0Views0EIBibtex

AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations

Danwei Li,Zhengyu Zhang,Siyang Yuan, Mingze Gao,Weilin Zhang,Chaofei Yang,Xi Liu,Jiyan Yang

arXiv (Cornell University)（2023）

Cited1Views0EIBibtex

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking

Xuewei Wang, Qiang Jin, Shengyu Huang,Min Zhang,Xi Liu,Zhengli Zhao, Yukun Chen,Zhengyu Zhang,Jiyan Yang,Ellie Wen,Sagar Chordia, Wenlin Chen,

CoRR (2023)

Cited0Views0EIBibtex

DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Buyun Zhang,Liang Luo,Xi Liu, Jay Li,Zeliang Chen,Weilin Zhang,Xiaohan Wei,Yuchen Hao,Michael Tsang, Wenjun Wang,Yang Liu,Huayu Li,

arXiv (Cornell University) (2022)

Cited2Views0EIBibtex

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Dheevatsa Mudigere,Yuchen Hao,Jianyu Huang,Zhihao Jia,Andrew Tulloch,Srinivas Sridharan,Xing Liu,Mustafa Ozdal,Jade Nie,Jongsoo Park,Liang Luo, Jie (Amy) Yang,

PROCEEDINGS OF THE 2022 THE 49TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '22)pp.993-1011, (2022)

Cited21Views0EIBibtex

Mixed Dimension Embeddings With Application To Memory-Efficient Recommendation Systems

Ginart Antonio,Naumov Maxim,Mudigere Dheevatsa,Yang Jiyan,Zou James

2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)（2021）

Cited52Views0EIWOSBibtex

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models

Dheevatsa Mudigere,Yuchen Hao,Jianyu Huang,Andrew Tulloch,Srinivas Sridharan,Xing Liu,Mustafa Ozdal,Jade Nie,Jongsoo Park,Liang Luo, Jie Amy Yang,Leon Gao,

ArXiv (2021)

Cited11Views0EIBibtex

Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters

Yuzhen Huang,Xiaohan Wei,Xing Wang,Jiyan Yang,Bor-Yiing Su,Shivam Bharuka,Dhruv Choudhary,Zewei Jiang,Hai Zheng,Jack Langman

Knowledge Discovery and Data Miningpp.3050-3058, (2021)

Cited6Views0EIBibtex

CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery

Kiwan Maeng,Shivam Bharuka,Isabel Gao,Mark C. Jeffrey,Vikram Saraph,Bor-Yiing Su,Caroline Trippel,Jiyan Yang,Mike Rabbat,Brandon Lucia,Carole-Jean Wu

CoRR (2020)

Cited10Views0EIBibtex

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Papers共 38 篇Author StatisticsCo-AuthorSimilar Experts