Xucheng Ye - RankMe

16 papers A* 1A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PROBE: Co-Balancing Computation and Communication in MoE Inference via Real-Time Predictive Prefetching. CoRR Qianchao Zhu, Xucheng Ye, Yuliang Liu, Haodong Ouyang, Chengru Song
2024	—	`conf`	Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Parallelism. USENIX ATC Tailing Yuan, Yuliang Liu, Xucheng Ye, Shenglong Zhang, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
2024	—	`conf`	DSMPC-DCBF: A Hierarchical Parking Trajectory Optimization Method Based on MPC. ACIRS Siqi Duan, Wenwei Wang, Xucheng Ye, Jinrui Nan, Jingyuan Zhao, Andrew F. Burke
2024	J	`jnl`	Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu
2023	J	`jnl`	KwaiYiiMath: Technical Report. CoRR 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
2023	J	`jnl`	NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration. Sci. China Inf. Sci. Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao
2022	J	`jnl`	NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration. CoRR Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao
2022	J	`jnl`	S IEEE Trans. Computers Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao
2021	A	`conf`	FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CIKM Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
2021	J	`jnl`	FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. CoRR Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao
2021	J	`jnl`	RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. CoRR Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li
2021	J	`jnl`	S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks. CoRR Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao
2020	—	`conf`	Accelerating CNN Training by Pruning Activation Gradients. ECCV (25) Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen
2020	A*	`conf`	SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. DAC Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
2020	J	`jnl`	SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. CoRR Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao
2019	J	`jnl`	Accelerating CNN Training by Sparsifying Activation Gradients. CoRR Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao