Zehuan Wang

According to our database, Zehuan Wang authored at least 5 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage.

Haidong Rong, Jiashu Yao, Matthias Langer, Shijie Liu, Li Fan, Dongxin Wang, Jia He, Jinglin Chen, Jiaheng Rang, Julian Qian, Mengyao Xu, Fan Yu, Minseok Lee, Zehuan Wang, Even Oldridge

CoRR, March, 2026

2024

Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark.

Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2022

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models.

Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference.

Zehuan Wang, Yingcan Wei, Minseok Lee, Matthias Langer, Fan Yu, Jie Liu, Shijie Liu, Daniel G. Abel, Xu Guo, Jianbing Dong, Ji Shi, Kunlun Li

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2020

Accelerating sparse DNN models without hardware-support via tile-wise sparsity.

Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

Proceedings of the International Conference for High Performance Computing, 2020