Jiyan Yang
Stanford University
H-index: 19
North America-United States
Top articles of Jiyan Yang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
AutoML for Large Capacity Modeling of Meta Ranking Systems | arXiv preprint arXiv:2311.07870 | Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang | 2023/11/14 |
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations | Danwei Li Zhengyu Zhang Siyang Yuan Mingze Gao Weilin Zhang | 2023/8/6 | |
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking | arXiv preprint arXiv:2307.11096 | Xuewei Wang Qiang Jin Shengyu Huang Min Zhang Xi Liu | 2023/7/12 |
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale | arXiv preprint arXiv:2311.08430 | Wei Wen Kuang-Hung Liu Igor Fedorov Xin Zhang Hang Yin | 2023/11/14 |
Software-hardware co-design for fast and scalable training of deep learning recommendation models | Dheevatsa Mudigere Yuchen Hao Jianyu Huang Zhihao Jia Andrew Tulloch | 2022/6/18 | |
DHEN: A deep and hierarchical ensemble network for large-scale click-through rate prediction | arXiv preprint arXiv:2203.11014 | Buyun Zhang Liang Luo Xi Liu Jay Li Zeliang Chen | 2022/3/11 |
Hierarchical training: Scaling deep recommendation models on large cpu clusters | Yuzhen Huang Xiaohan Wei Xing Wang Jiyan Yang Bor-Yiing Su | 2021/8/14 | |
Mixed dimension embeddings with application to memory-efficient recommendation systems | Antonio A Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou | 2021/7/12 | |
Understanding and improving failure tolerant training for deep learning recommendation with partial recovery | Proceedings of Machine Learning and Systems | Kiwan Maeng Shivam Bharuka Isabel Gao Mark Jeffrey Vikram Saraph | 2021/3/15 |
Compositional embeddings using complementary partitions for memory-efficient recommendation systems | Hao-Jun Michael Shi Dheevatsa Mudigere Maxim Naumov Jiyan Yang | 2020/8/23 | |
Deep learning training in facebook data centers: Design of scale-up and scale-out systems | arXiv preprint arXiv:2003.09518 | Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang | 2020/3/20 |
Shadowsync: Performing synchronization in the background for highly scalable distributed training | arXiv preprint arXiv:2003.03477 | Qinqing Zheng Bor-Yiing Su Jiyan Yang Alisson Azzolini Qiang Wu | 2020/3/7 |
Adaptive dense-to-sparse paradigm for pruning online recommendation system with non-stationary data | arXiv preprint arXiv:2010.08655 | Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen | 2020/10/16 |
Towards automated neural interaction discovery for click-through rate prediction | Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian | 2020/8/23 |
Co-Authors
