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Zehuan Wang
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2020 – today
- 2024
- [c5]Jiahao Chen, Kenneth Stephenson, Md Abdullah Mamun, Zehuan Wang, Parthasarathy Seshadri, Asif Khan, Chirag Gupta:
Al0.87Ga0.13N/Al0.64Ga0.36N HFET with fT >17 GHz and Vbr > 360 V. DRC 2024: 1-2 - [c4]Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang:
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark. RecSys 2024: 622-632 - 2022
- [c3]Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang:
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. RecSys 2022: 408-419 - [c2]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:
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. RecSys 2022: 534-537 - 2021
- [j1]Yutong Tian, Jia Yan, Danhong Yi, Yuelin Zhang, Zehuan Wang, Tianhang Yu, Xiaoyan Peng, Shukai Duan:
Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [i2]Yuelin Zhang, Jia Yan, Zehuan Wang, Xiaoyan Peng, Yutong Tian, Shukai Duan:
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors. CoRR abs/2110.07509 (2021) - 2020
- [c1]Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC 2020: 16 - [i1]Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR abs/2008.13006 (2020)
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last updated on 2024-10-23 21:28 CEST by the dblp team
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