2024

1. Weiduo Chen*, Xiaoshe Dong, Xinhang Chen, Song Liu, Qin Xia, Qiang Wang. pommDNN: Performance optimal GPU memory management for deep neural network training.Future Generation Computer Systems. 2024, Volume 152, March, Pages 160-169
2. Yan Kang, Xiaoshe Dong, Ziheng Wang, Heng Chen & Qiang Wang*. Parallel implementations of post-quantum leighton-Micali signature on multiple nodes. The Journal of Supercomputing, 2024, Volume 80, pages 5042–5072

2023

1. Shusen Wu, Xiaoshe Dong*, Heng Chen, Longxiang Wang, Qiang Wang and Zhengdong Zhu. Simplified High Level Parallelism Expression on Heterogeneous Systems through Data Partition Pattern Description, The Computer Journal, 2023 Vol. 66 No. 6:pp1400-1418
2. Ziheng Wang, Xiaoshe Dong, Heng Chen*, and Yan Kang. Efficient GPU Implementations of Post-Quantum Signature XMSS. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(3):938-954
3. Wang Ziheng; Dong Xiaoshe; Kang Yan; Chen Heng*. Parallel SHA-256 on SW26010 many-core processor for hashing of multiple messages. Journal of Supercomputing, 2023, 79(2):2332–2355

2022

1. Wang Yufei; Dong Xiaoshe; Wang Longxiang*; Chen Weiduo; Chen Heng. A novel SSD fault detection method using GRU-based Sparse Auto-Encoder for dimensionality reduction. Journal of Intelligent and Fuzzy Systems, 2022, 43(4):4929-4946
2. Chen Heng; Wang Ziheng; Xiao Xi; Li Jingbo; Dong Xiaoshe*; Zhang Xingjun. SunwayURANS: 3D full-annulus URANS simulations of transonic axial compressors on Sunway TaihuLight. Journal of Supercomputing, 2022, 78(17):19167-19187
3. Wang Ziheng; Chen Heng*; Cai Weiling; Dong Xiaoshe; Zhang Xingjun. C-Lop: Accurate contention-based modeling of MPI concurrent communication. Parallel Computing, v 111, 2022
4. Liang Bin, Dong Xiaoshe*, Wang, Yufei, Zhang Xingjun. A high-applicability heterogeneous cloud data centers resource management algorithm based on trusted virtual machine migration. Expert Systems with Applications. 2022, 197(7)
5. Ziheng Wang, Heng Chen∗, Xiaoshe Dong, Weilin Cai, Xingjun Zhang. LogSC: Model-based one-sided communication performance estimation, Future Generation Computer Systems 2022, 132(7): 25–39
6. Wang Ziheng; Chen Heng*; Dong Xiaoshe; Cai Weilin; Kang Yan; Zhang Xingjun. Extending τ -Lop to model MPI blocking primitives on shared memory. Journal of Supercomputing, v 78, n 9, p 12046-12069
7. Yufei Wang, Xiaoshe Dong, Longxiang Wang*, Weiduo Chen, Xingjun Zhang. Optimizing Small-Sample Disk Fault Detection Based on LSTM-GAN Model, ACM Transactions on Architecture and Code Optimization (TACO), 2022, 19(1):1–24

2021

1. Xinrui He, Weiduo Chen, Xiaoshe Dong, Qiang Wang*, Jialin Liu, Fan Dong, Yuanqi Su. DMF-MPC: A Dual-Stage and Multi-Step Forecasting Model Based Cooling System Control Method for Data Center Energy Cost Minimization, IEEE 23rd Int Conf on High Performance Computing & Communications(IEEE HPCC-2021), Haikou, Hainan, China, 20-22 Decembrer 2021, pp997-1006
2. Bin Liang, Xiaoshe Dong*, Yufei Wang, Longxiang Wang. A Multi-dimensional Double Descending Maximum Padding Priority Algorithm for Cloud Data Centers. The Journal of Supercomputing，2021, 77(12):14011–14038
3. Jingbo Li, Xingjun Zhang*, Li Han1, Zeyu Ji, Xiaoshe Dong, Chenglong Hu. OKCM: improving parallel task scheduling in high-performance computing systems using online learning. The Journal of Supercomputing, 2021, 77(6):5960–5983
4. Chen Weiduo, Dong Xiaoshe*, Chen Heng, Wang Qiang,, Yu Xingda, Zhang Xingjun. “Performance evaluation of convolutional neural network on Tianhe‑3 prototype”. The Journal of Supercomputing. 线上发表时间：2021-4-12
5. 王龙翔、董凯、董小社*、张兴军，面向虚拟数据空间的轻量级安全传输方法，华中科技大学学报，2021，49(4)：108-113
6. 王龙翔、董凯、李小轩、董小社*、张兴军、朱正东、王宇菲、张利平. 面向虚拟数据空间的智能TCP拥塞控制方法. 西安交通大学学报. 2021，55(5):83-91
7. 闫伟，张兴军*，纪泽宇，董小社，姬辰肇，基于持久性内存的单向移动B+树，计算机研究与发展，2021，58(2)：371-383
8. 王龙翔、董凯、王鹏博、董小社*、张兴军、朱正东、张利平．R-dedup：一种重复数据删除指纹计算的优化方法．西安交通大学学报. 2021，55(1)：43-51

2020

1. 周墨颂, 董小社, 陈 衡*, 张兴军. 一种云环境中的动态细粒度资源调度方法. 软件学报. 2020, 31(12)：3981-3999
2. Ningjing Liang, Xingjun Zhang, Hailong Yang, Xiaoshe Dong, Changjiang Zhang.  “An Optimal Recovery Approach for Liberation Codes in Distributed Storage Systems”. IEEE ACCESS, 2020, 8:137631-137645
3. Bin Liang, Xiaoshe Dong*, Yufei Wang, Xingjun Zhang. Memory-aware resource management algorithm for low-energy cloud data centers. Future Generation Computer Systems(FGCS). 2020, 113:329-342
4. Liang Bin*, Dong Xiaoshe, Wang Yufei, Zhang Xingjun. A low-power task scheduling algorithm for heterogeneous cloud computing. The Journal of Supercomputing. 2020, 76(9):7290–7314
5. 吴树森，董小社*，王宇菲，王龙翔，朱正东. UPPA:面向异构众核系统的统一并行编程架构. 计算机学报. 2020, 43(6)：990-1009
6. He Feng, Dong Xiaoshe, Zou Nianjun, Wu Weiguo, Zhang Xingjun*. Structured mesh-oriented framework design and optimization for a coarse-grained parallel CFD solver based on hybrid MPI/OpenMP programming. The Journal of Supercomputing. 2020, 76(4):2815-2841
7. Liu, Qiang; Dong, XiaoShe; Chen, Heng*; Zhang, Xingjun.  H2Pregel : A partition-based hybrid hierarchical graph computation approach. Future Generation Computer Systems(FGCS). 2020, 104:15-31
8. Xingjun Zhang, Yi Cai, Yunfei Liu, Zhiwei Xu, Xiaoshe Dong. NADE: nodes performance awareness and accurate distance evaluation for degraded read in heterogeneous distributed erasure code‑based storage. The Journal of Supercomputing, 2020 76(7): 4946-4975
9. Zhou Mosong, Dong Xiaoshe, Chen Heng, Zhang Xingjun*, “Fine-grained scheduling in multi-resource clusters”, The Journal of Supercomputing, 2020, 76(3):1931–1958
10. Li Jingbo, Zhang Xingjun, Zhou Jianfeng, Dong Xiaoshe, Zhang Chuhua, Ji Zeyu. swHPFM: Refactoring and Optimizing the Structured Grid Fluid Mechanical Algorithm on the Sunway TaihuLight Supercomputer. APPLIED SCIENCES-BASEL, 2020 10(1)

2019

1. Wang Longxiang, Liu Cheng, Dong Xiaoshe, Zhang Xingjun, Wang Yufei, Wang Yinfeng. Design and Implementation of Fault Injector for Hybrid Heterogeneous Storage System. Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, December11-12, Dubai, 2019: 10-15
2. Shusen Wu, Xiaoshe Dong*, Yufei Wang, Weiduo Chen. Language Constructs and Semantics for Runtime-independent Parallelism Expression on Heterogeneous Systems. 2019 IEEE 5th International Conference on Computer and Communications. Dec.6-9, 2019. Cheng Du. pp1269-1275
3. Yufei Wang, Xiaoshe Dong, Xingjun Zhang and Longxiang Wang*. Measurement and Analysis of SSD Reliability Data Based on Accelerated Endurance Test. Electronics. 2019, 8(11)
4. Wu Shusen, Dong Xiaoshe*,  Zhang Xingjun, Zhu Zhengdong. NoT: a high-level no-threading parallel programming method for heterogeneous systems. The Journal of Supercomputing. 2019, 75(7):3810-3841
5. Ju Tao, Zhang Yan, Zhang Xuejun, Du Xiaogang, Dong Xiaoshe. Energy-efficient thread mapping for heterogeneous many-core systems via dynamically adjusting the thread count. Energies. 2019, 12(7)
6. B. Liang, X. Dong, and X. Zhang*, "A Power-aware Scheduling Algorithm in Multi-tenant IaaS Clouds," in 2019 IEEE 4th International Conference on Signal and Image Processing, July 19-21, 2019，Wuxi, China, pp. 250-253
7. Liang Bin, Dong Xiaoshe, Zhang Xingjun. A heuristic virtual machine scheduling algorithm in cloud data center. Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference. March 15-17, 2019. Chengdu, China.
8. 肖兮，刘闯，何锋，张琼，张兴军，董小社*，“面向流体机械仿真的层次化并行计算模型”，西安交通大学学报，2019，53(2)：121-127

2018

1. 刘闯，何峰，肖兮，董小社*，张兴军，“计算流体力学程序单核指令级优化方法”，西安交通大学学报，2018，52(12)：77-83
2. Cen Song, Zhang Xingjun, Lei Ming, Fowler Scott, Dong Xiaoshe, “Stochastic geometry modeling and energy efficiency analysis of millimeter wave cellular networks”, Wireless Networks, 2018, 24(7):2565-2578
3. Lei Ming, Zhang Xingjun, Yu Bocheng, Dong Xiaoshe, “Power and discrete rate adaptation in BER constrained wireless powered communication networks”, IET Communications, 2018, 12(18):2213-2221 
4. Qiang Liu, Xiaoshe Dong, Heng Chen*, Yinfeng Wang. “IncPregel: an incremental graph parallel computation model”. Frontiers of Computer Science, 2018, 12(6):1076-1089
5. 王龙翔，魏晓林，陈跃辉，刘 成，董小社，“面向SQLite的TPC－E基准测试系统的设计与实现”，计算机技术与发展，2018，28(8)：38-42
6. Zhou Mosong, Dong Xiaoshe, Chen Heng, Zhang Xingjun*. “A Runtime Available Resource Capacity Evaluation Model Based on the Concept of Similar Tasks”, The Computer Journal, 2018, 61(5):722-744
7. 周权彪，张兴军*，梁宁静，霍文洁，董小社，“基于缓存映射项重用距离的闪存地址映射方法”，计算机研究与发展，2018，55(5)：1065-1077
8. 孙健，张兴军，董小社*. “异构系统中带可用性约束的性能优化调度算法”，西安交通大学学报，2018，52(2)：18-23

2017

1. 周墨颂，董小社，陈 衡*，张兴军. “基于计算资源运行时剩余能力评估优化云平台”，计算机研究与发展，2017，54(11)：2516-2533
2. Wang Longxiang; Zhu Zhengdong; Zhang Xingjun; Dong Xiaoshe*; Wang Yinfeng. “DOMe: A deduplication optimization method for the NewSQL database backups”. PLOS ONE, 2017, 12(10)
3. Zhang Yizhi，Zhu Zhengdong，Cui Honglin，Dong Xiaoshe，Chen Heng. Small files storing and computing optimization in Hadoop parallel rendering. Concurrency Computation，Vol 29 Iss 20，2017
4. 刘强，董小社*，陈衡，王寅峰，“通信密集环境中基于内存利用率的预计算方法”，西安交通大学学报，2016，50(10)：59-64
5. Zheng Hao, Zhu Zhengdong*, Dong Xiaoshe, Chen Baoke, Liu Chengzhe, “Studying shadow page cache to improve isolated drivers' performance”, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29(10)
6. Cen Song, Zhang  Xingjun, Lei  Ming, Fowler  Scott, Dong  Xiaoshe, “Stochastic geometry modeling and energy efficiency analysis of millimeter wave cellular networks”, Wireless Networks, March 17, 2017

2016

1. Xingjun Zhang*, Guofeng Zhu, Endong Wang, Scott Fowler, Xiaoshe Dong, “Data De-duplication with Adaptive Chunking and Accelerated Modification Identifying”, Computing and Informatics. 2016, 35(3):586-614
2. 王龙翔，董小社，张兴军*，王寅峰，公维峰，魏晓琳，“内容分块算法中预期分块长度对重复数据删除率的影响，西安交通大学学报，2016，50(12)：73-78
3. Wang Long-xiang; Dong Xiao-she; Zhang Xing-jun*; Wang Yin-feng; Ju Tao; Feng Guo-fu. “TextGen: a realistic text data content generation method for modern storage system benchmarks”. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10):982-993
4. 巨涛，张兴军，陈衡，董小社*，“面向众核系统的线程分组映射方法”，西安交通大学学报，2016，50(10)：57-63
5. Tao Ju*, Xiaoshe Dong*, Heng Chen, Xinjun Zhang, “DagTM: An Energy-Efficient Threads Grouping Mapping for Many-Core Systems Based on Data Affinity”, Energies, 2016, 9(9)
6. Qiang Liu, XiaoShe Dong, Heng Chen, Zheng Dong Zhu, Yinfeng Wang, “An Efficient Predicting Delay Algorithm for Short Jobs”, 2016 7th IEEE International Conference on Software Engineering and Service Science, Beijing China, August 26-28,2016. pp.329-332
7. Qiang Liu, XiaoShe Dong, Heng Chen, ZhengDong Zhu, Yinfeng Wang, “An Efficient Framework for Incremental Graph Computation”, The 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, Tianjin, China, 23-26 August, 2016
8. Longxiang Wang, Xiaoshe Dong, Xingjun Zhang*, Fuliang Guo, Yinfeng Wang  and Weifeng Gong, “A Logistic Based Mathematical Model to Optimize Duplicate Elimination Ratio in Content Defined Chunking Based Big Data Storage System”, Symmetry, 2016, 8(7)
9. 孙健，张兴军，董小社，“一种可靠性框图的异构系统可用性评价模型”，西安电子科技大学学报，2016，４３(３)：190-196
10. ZHENG Hao, DONG Xiaoshe, ZHU Zhengdong*(通讯作者), CHEN Baoke,BAI Xiuxiu, ZHANG Xingjun1 and WANG Endong, “Improving the Reliability of Operating System inside a VM”, The Computer Journal, 2016, 59(5):715-740
11. Liang Li, Endong Wang, Xiaoshe Dong*, Zhengdong Zhu, “The Optimization of Memory Access Congestion for MapReduce Applications on Manycore Systems”, The Computer Journal , 2016, 59(3):325-337

2015

1. 孙健, 张兴军, 董小社. “异构平台实时任务的可用性提升容错调度算法”. 计算机研究与发展, 2015, 52(12)：2669-2683
2. Tao Ju, Weiguo Wu, Xiaoshe Dong, Heng Chen, Zhengdong Zhu, “Thread Count Prediction Model: Dynamically AdjustingThreads for Heterogeneous Many-Core Systems”, The 21st IEEE International Conference on Parallel and Distributed Systems, 2015/12/14-17, Melbourne, 2015, pp456-464
3. Zhou MS, Chen H, Dong XS, et al. Dynamic Token Based Improving MapReduce Performance in Cloud Computing， 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCloud), Dalian, China, August 26-29, 2015, pp:180-186.
4. 孙健, 董小社, 张兴军. “一种高可用异构容错系统的混合可用性模型”. 科学技术与工程, 2015, 15(30)：40-44
5. Shusen Wu, Xiaoshe Dong, Heng Chen, Bochao Dang，“OCLS: A Simplified High-level Abstraction basedFramework for Heterogeneous Systems”, Advances in Parallel and Distributed Computing and Ubiquitous Services, UCAWSN and PDCAT 2015(Lecture Notes in Electrical Engineering，Vol.368, January 2016)，Jeju, Korea, pp57-65
6. Yizhi Zhang, Hen Cheng, Zhengdong Zhu, Xiaoshe Dong , “Small Files Storing and Computing Optimization in Hadoop Parallel Rendering”, 11th International Conference on Natural Computation, Zhangjiajie, China, 2015.08.15-17, pp1269-1274
7. ZHENG Hao, DONG Xiaoshea, WANG Endongb, ZHU Zhengdonga, CHEN Baokea, ZHANG Yizhia, “Research on Algorithms to Capture Drivers’ Write Operations”, The Computer Journal, 2015, 58(11):3035-3056
8. Zhang Xingjun, Yang Yan, Wang Endong, You Iisun, Dong Xiaoshe, “Modeling Software Fault Management with Runtime Verification”, International Journal of Ad Hoc and Ubiquitous Computing, 2015, 20(1):26-38
9. Xiuxiu Bai, Xiaoshe Dong, and Yuanqi Su*, “Edge Propagation KD-Trees: Computing Approximate Nearest Neighbor Fields”, IEEE Signal Processing Letters, 2015, 22(12):2209-2213
10. Xiuxiu Bai, Endong Wang, Xiaoshe Dong*, Xingjun Zhang, “A scalability prediction approach for multi-threaded applications on manycore processors”,  The Journal of Supercomputing,  2015, 71(11):4072–4094
11. 周墨松，朱正东*，董小社，陈衡，王寅峰，“采用资源划分的云环境下Hadoop资源许可调度方法”，西安交通大学学报，2015，49(8)：69-74
12. 王强，董小社，王恩东，朱正东*，“基于I/O受限进程识别的vCPU调度机制”，西安交通大学学报，2015，49(4)：53-60
13. 刘强，董小社*，王寅峰，朱正东，“一种短作业环境下的延迟调度方法”，西安交通大学学报，2015，49(2)：1-5
14. 巨涛，朱正东，董小社*，“异构众核系统及其编程模型与性能优化技术研究综述”，电子学报，2015，43(1)：111-119