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Xiangyu Ye
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- Xiang-Yun Ye
- Xiangyun Ye (aka: Xiangyun Mary Ye)
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2020 – today
- 2024
- [j4]Yue Yuan, Xiangyu Ye, Jian Cui, Junyang Zhang, Zhaoxiang Wang:
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus. Frontiers Comput. Neurosci. 18 (2024) - [j3]Dongsheng Li, Shengwei Li, Zhiquan Lai, Yongquan Fu, Xiangyu Ye, Lei Cai, Linbo Qiao:
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. IEEE Trans. Parallel Distributed Syst. 35(4): 577-591 (2024) - 2023
- [c10]Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin:
FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. FPGA 2023: 67-77 - [c9]Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE 2023: 53-66 - [c8]Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. ISCA 2023: 66:1-66:13 - 2022
- [j2]Xiangyu Ye, Yuhan Guo, Zhonggen Wang, Liaofeng Liang, Jiayu Tian:
Extensive Evaluation of Four Satellite Precipitation Products and Their Hydrologic Applications over the Yarlung Zangbo River. Remote. Sens. 14(14): 3350 (2022) - [c7]Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. HPEC 2022: 1-7 - [c6]Shaoxian Xu, Minkang Wu, Long Zheng, Zhiyuan Shao, Xiangyu Ye, Xiaofei Liao, Hai Jin:
Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model. HPEC 2022: 1-7 - [c5]Shengwei Li, Zhiquan Lai, Dongsheng Li, Yiming Zhang, Xiangyu Ye, Yabo Duan:
EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. ICPP 2022: 7:1-7:11 - 2021
- [j1]Xiangyu Ye, Mengmeng Chen:
Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis. Sci. Program. 2021: 9326932:1-9326932:8 (2021) - [c4]Xiangyu Ye, Zhiquan Lai, Dongsheng Li:
Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network. ICCCV 2021: 153-158 - [c3]Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li:
Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. ICPP 2021: 71:1-71:10 - [c2]Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang:
Improved Partitioning Graph Embedding Framework for Small Cluster. KSEM 2021: 203-215 - [i1]Shengwei Li, Zhiquan Lai, Dongsheng Li, Xiangyu Ye, Yabo Duan:
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks. CoRR abs/2110.09132 (2021)
2000 – 2009
- 2001
- [c1]Martha E. Gutierrez, Naphtali Rishe, Scott Graham, Ginanina G. Rocha, Xiangyu Ye, Ouri Wolfson:
A Web-Enabled System for Storage and Retrieval of GOES-8 Meteorological Data from a Semantic Database. ISAS-SCI (1) 2001: 62-65
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