Xucheng Ye

According to our database, Xucheng Ye authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu

CoRR, 2024

Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism.

Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

DSMPC-DCBF: A Hierarchical Parking Trajectory Optimization Method Based on MPC.

Siqi Duan, Wenwei Wang, Xucheng Ye, Jinrui Nan, Jingyuan Zhao, Andrew F. Burke

Proceedings of the 9th Asia-Pacific Conference on Intelligent Robot Systems, 2024

2023

NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration.

Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao

Sci. China Inf. Sci., April, 2023

KwaiYiiMath: Technical Report.

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

CoRR, 2023

2022

S² Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks.

Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao

IEEE Trans. Computers, 2022

2021

S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks.

Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao

CoRR, 2021

RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models.

Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li

CoRR, 2021

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.

Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Accelerating CNN Training by Pruning Activation Gradients.

Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.

Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Accelerating CNN Training by Sparsifying Activation Gradients.

Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao

CoRR, 2019