Jiecao Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | LoKA: Low-Precision Kernel Applications for Recommendation Models at Scale. | Liang Luo, Yinbin Ma, Quanyu Zhu, Vasiliy Kuznetsov, Yuxin Chen, Jian Jiao, Jiecao Yu, Buyun Zhang, Tongyi Tang, Xiaohan Wei, Yanli Zhao, Zeliang Chen, Yuchen Hao, Venkatesh Ranganathan, Sandeep Parab, Yantao Yao, Maxim Naumov, Chunzhi Yang, Shen Li, Ellie Wen, Wenlin Chen, Chunqiang Tang |
| 2025 | ISCA | Scaling Llama 3 Training with Efficient Parallelism Strategies. | Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park |
| 2021 | FCCM | Compute-Capable Block RAMs for Efficient Deep Learning Acceleration on FPGAs. | Xiaowei Wang, Vidushi Goyal, Jiecao Yu, Valeria Bertacco, Andrew Boutros, Eriko Nurvitadhi, Charles Augustine, Ravi R. Iyer, Reetuparna Das |
| 2021 | ICMLA | Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. | Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal |
| 2019 | HPCA | Bit Prudent In-Cache Acceleration of Deep Convolutional Neural Networks. | Xiaowei Wang, Jiecao Yu, Charles Augustine, Ravi R. Iyer, Reetuparna Das |
| 2017 | ISCA | Scalpel: Customizing DNN Pruning to the Underlying Hardware Parallelism. | Jiecao Yu, Andrew Lukefahr, David J. Palframan, Ganesh S. Dasika, Reetuparna Das, Scott A. Mahlke |