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2020 – today
- 2024
[c5]Siqi Duan, Wenwei Wang, Xucheng Ye, Jinrui Nan, Jingyuan Zhao, Andrew F. Burke:
DSMPC-DCBF: A Hierarchical Parking Trajectory Optimization Method Based on MPC. ACIRS 2024: 55-62- [c4]Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang:
Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC 2024: 545-561 - [i8]Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu:
Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR abs/2406.16486 (2024) - 2023
- [j2]Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao:
NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration. Sci. China Inf. Sci. 66(4) (2023) - [i7]Jia-Yi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, Shengnan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai:
KwaiYiiMath: Technical Report. CoRR abs/2310.07488 (2023) - 2022
- [j1]Jianlei Yang
, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao:
S2 Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. IEEE Trans. Computers 71(6): 1440-1452 (2022) - [i6]Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao:
NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration. CoRR abs/2204.09989 (2022) - 2021
- [c3]Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao:
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CIKM 2021: 3283-3287 - [i5]Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li:
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. CoRR abs/2106.03613 (2021) - [i4]Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao:
S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. CoRR abs/2106.07894 (2021) - [i3]Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao:
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CoRR abs/2108.09081 (2021) - 2020
- [c2]Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao:
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. DAC 2020: 1-6 - [c1]Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen:
Accelerating CNN Training by Pruning Activation Gradients. ECCV (25) 2020: 322-338 - [i2]Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao:
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. CoRR abs/2007.13595 (2020)
2010 – 2019
- 2019
- [i1]Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao:
Accelerating CNN Training by Sparsifying Activation Gradients. CoRR abs/1908.00173 (2019)
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