Chengjian Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 15

Top Topics

Neural Network Training

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys (2024)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS (2023)
Chengjian Liu, Pengcheng Shi, Yihong Li, Lixin Liang, Lin Lin
Efficient Data Loading for Deep Neural Network Training. BIGCOM (2023)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR (2023)
Chengjian Liu, Lei Zou, Jun Xia, Xinchi Chen, Lingfeng Zuo, Jiarui Yu
Spatiotemporal Heterogeneity of Water Conservation Function and Its Driving Factors in the Upper Yangtze River Basin. Remote. Sens. 15 (21) (2023)
Chengjian Liu, Xiaohui Ji, Yuhang Dong, Mingyue He, Mei Yang, Yuzhu Wang
Chinese mineral question and answering system based on knowledge graph. Expert Syst. Appl. 231 (2023)
Chengjian Liu, Yiwei Zhang, Jiajun Xu, Jian Zhao, Shaohua Xiang
Ensuring the Security and Performance of IoT Communication by Improving Encryption and Decryption With the Lightweight Cipher uBlock. IEEE Syst. J. 16 (4) (2022)
Qian Zhou, Lin Gan, Jianhua He, Chengjian Liu
The System of Distribution Network Live Working Robot Based on Multi-level Insulation Design and Human-machine Collaboration. RICAI (2022)
Huajie Wen, Jian Zhao, Shaohua Xiang, Lin Lin, Chengjian Liu, Tao Wang, Lin An, Lixin Liang, Bingding Huang
Towards more efficient ophthalmic disease classification and lesion location via convolution transformer. Comput. Methods Programs Biomed. 220 (2022)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. 35 (3) (2021)
Lixin Liang, Huan He, Jian Zhao, Chengjian Liu, Qiuming Luo, Xiaowen Chu
An Erasure-Coded Storage System for Edge Computing. IEEE Access 8 (2020)
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung, Hai Liu
ESetStore: An Erasure-Coded Storage System With Fast Data Recovery. IEEE Trans. Parallel Distributed Syst. 31 (9) (2020)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR (2020)
Qiang Wang, Chengjian Liu, Xiaowen Chu
GPGPU performance estimation for frequency scaling using cross-benchmarking. GPGPU@PPoPP (2020)
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung
G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding. IEEE Trans. Parallel Distributed Syst. 29 (7) (2018)
Xiaowen Chu, Chengjian Liu, Kai Ouyang, Ling Sing Yung, Hai Liu, Yiu-Wing Leung
PErasure: A parallel Cauchy Reed-Solomon coding library for GPUs. ICC (2015)
Chengjian Liu, Kai Ouyang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung
R-Memcached: A Reliable In-Memory Cache System for Big Key-Value Stores. BigCom (2015)
Qiuming Luo, Chang Kong, Yuanyuan Zhou, Guoqiang Liu, Chengjian Liu
Understanding the Data Traffic of Uncore in Westmere NUMA Architecture. PDP (2014)
Xinxin Mei, Kaiyong Zhao, Chengjian Liu, Xiaowen Chu
Benchmarking the Memory Hierarchy of Modern GPUs. NPC (2014)
Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai
Quantitatively Measuring the Memory Locality Leakage on NUMA Systems Based on Instruction-Based-Sampling. PDCAT (2012)
Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai
: Access Patterns Used to Characterize the NUMA Memory Access Optimization Techniques and Algorithms. NPC (2012)
Qiuming Luo, Ye Cai, Chengjian Liu, Chang Kong
The Design and Implementation of OMPit: An OpenMP Compiler Characterized by Logs for Parallel and Work-Sharing. PAAP (2011)