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Chengjian Liu
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Journal Articles
- 2023
- [j8]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: 120841 (2023) - [j7]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): 5246 (2023) - 2022
- [j6]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: 106832 (2022) - [j5]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): 5489-5500 (2022) - 2021
- [j4]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): 230-237 (2021) - 2020
- [j3]Lixin Liang
, Huan He, Jian Zhao, Chengjian Liu
, Qiuming Luo, Xiaowen Chu
:
An Erasure-Coded Storage System for Edge Computing. IEEE Access 8: 96271-96283 (2020) - [j2]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): 2001-2016 (2020) - 2018
- [j1]Chengjian Liu
, Qiang Wang
, Xiaowen Chu
, Yiu-Wing Leung:
G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding. IEEE Trans. Parallel Distributed Syst. 29(7): 1484-1498 (2018)
Conference and Workshop Papers
- 2024
- [c12]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: 236-249 - 2023
- [c11]Chengjian Liu, Pengcheng Shi, Yihong Li, Lixin Liang, Lin Lin:
Efficient Data Loading for Deep Neural Network Training. BIGCOM 2023: 211-218 - [c10]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: 142-153 - 2022
- [c9]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: 272-276 - 2020
- [c8]Qiang Wang
, Chengjian Liu, Xiaowen Chu
:
GPGPU performance estimation for frequency scaling using cross-benchmarking. GPGPU@PPoPP 2020: 31-40 - 2015
- [c7]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: 243-256 - [c6]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: 436-441 - 2014
- [c5]Xinxin Mei, Kaiyong Zhao, Chengjian Liu, Xiaowen Chu
:
Benchmarking the Memory Hierarchy of Modern GPUs. NPC 2014: 144-156 - [c4]Qiuming Luo, Chang Kong, Yuanyuan Zhou, Guoqiang Liu, Chengjian Liu:
Understanding the Data Traffic of Uncore in Westmere NUMA Architecture. PDP 2014: 392-399 - 2012
- [c3]Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai:
MAP-numa: Access Patterns Used to Characterize the NUMA Memory Access Optimization Techniques and Algorithms. NPC 2012: 208-216 - [c2]Qiuming Luo, Chengjian Liu, Chang Kong, Ye Cai:
Quantitatively Measuring the Memory Locality Leakage on NUMA Systems Based on Instruction-Based-Sampling. PDCAT 2012: 251-256 - 2011
- [c1]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: 350-355
Informal and Other Publications
- 2023
- [i2]Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu:
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR abs/2302.12445 (2023) - 2020
- [i1]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR abs/2005.13247 (2020)
Coauthor Index
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