Zehuan Wang

According to our database, Zehuan Wang authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

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

2021

Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data.

Yutong Tian, Jia Yan, Danhong Yi, Yuelin Zhang, Zehuan Wang, Tianhang Yu, Xiaoyan Peng, Shukai Duan

IEEE Trans. Instrum. Meas., 2021

TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors.

Yuelin Zhang, Jia Yan, Zehuan Wang, Xiaoyan Peng, Yutong Tian, Shukai Duan

CoRR, 2021

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