代表性论文：

[1] Xin He, Jianhua Sun, Hao Chen, and Dong Li.  Campo: A Cost-Aware and High-Performance Mixed Precision Optimizer for Neural Network Training. In the Proceedings of the 2022 USENIX Annual Technical Conference (USENIX ATC), July 11-13, 2022. (CCF A类)

[2] Daokun Hu, Zhiwen Chen, Wenkui Che, Jianhua Sun, and Hao Chen. Halo: A Hybrid PMem-DRAM Persistent Hash Index with Fast Recovery. In the Proceedings of the 2022 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), June 12-17, 2022. (CCF A类)

[3] Bang Di, Daokun Hu, Zhen Xie, Jianhua Sun, Hao Chen, Jinkui Ren, and Dong Li. TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling. ACM Transcations on Architecture and Code Optimization (TACO), March 2022, 19(1):1-23. (CCF B类)

[4] Bang Di, Jiawen Liu, Hao Chen, and Dong Li. Fast, Flexible and Comprehensive Bug Detection for Persistent Memory Programs. In the Proceedings of the 26th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 12-23, 2021. (CCF A类 Distinguished Artifact Award)

[5] DaoKun Hu, Zhiwen Chen, Jianbin Wu, Jianhua Sun, and Hao Chen. Persistent Memory Hash Indexes: An Experimental Evaluation. In the Proceedings of the 47th International Conference on Very Large Data Bases (VLDB), August 16-20, 2021, Copenhagen, Denmark.  (CCF A类)

[6] Bang Di, Jianhua Sun, Hao Chen, and Dong Li. Efficient Buffer Overflow Detection on GPU. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021, 32(5):1161-1177. (CCF A类)

[7] Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li. Enabling Energy-Efficient DNN Training on Hybrid Accelerators. In the Proceedings of the 35th International Conference on Supercomputing (ICS), June 14-18, 2021.  (CCF B类)

[8] Bang Di, Jianhua Sun, Dong Li, Hao Chen, and Zhe Quan. GMOD: A Dynamic GPU Memory Overflow Detector. In the Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), November 1-4, 2018, Limassol, Cyprus. (CCF B类)

[9] Wenyong Zhong, Jianhua Sun, Hao Chen, Jun Xiao, Zhiwen Chen, Chang Cheng, and Xuanhua Shi. Optimizing Graph Processing on GPUs. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017, 28(4):1149-1162. (CCF A类)

[10] Jianhua Sun, Hao Chen, Ligang He, and Huailiang Tan. Redundant Network Traffic Elimination with GPU Accelerated Rabin Fingerprinting. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016, 27(7): 2130-2142. (CCF A类)

[11] Cheng Chang, Jianhua Sun, and Hao Chen. Coral: A Cloud-Backed Frugal File System. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016, 27(4): 978-991. (CCF A 类)

[12] Hao Chen, Jianhua Sun, Ligang He, Kenli Li, and Huailiang Tan. BAG: Managing GPU as Buffer Cache in Operating Systems. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2014, 25(6):1393-1402. (CCF A 类)

[13] Hao Chen, Lin Shi, Jianhua Sun, Kenli Li, and Ligang He. A Fast RPC System for Virtual Machines. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2013, 24(7):1267-1276. (CCF A 类)

[14] Lin Shi, Hao Chen, Jianhua Sun, and Kenli Li. vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines. IEEE Transactions on Computers (TC), 2012, 61(6):804-816. (CCF A 类)

[15] Hao Chen, Lin Shi, and Jianhua Sun. VMRPC: A High Efficiency and Light Weight RPC System for Virtual Machines. In Proceedings of the 18th IEEE International Workshop on Quality of Service (IWQoS), June 16-18, 2010, Beijing, China. (CCF B类)

[16] Lin Shi, Hao Chen, and Jianhua Sun. vCUDA: GPU Accelerated High Performance Computing in Virtual Machines. In the Proceedings of the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 25-29, 2009, Rome, Italy. (CCF B 类)

科研项目：

1.       国家重点研发计划：面向图计算的通用计算机技术与系统 (2018YFB1003502)，2018.05-2021.04

2.       国家自然科学基金， GPU硬件虚拟内存关键技术研究(61972137)，2020.01-2023.12

3.       国家自然科学基金，异构内存计算系统的扩展性问题研究(61772183)，2018.1-2021.12

4.       国家自然科学基金，云环境GPU虚拟化的安全问题研究(61572179)， 2016.01-2019.12

5.       新世纪优秀人才支持计划，基于多核不对称特性的虚拟机优化方法研究，2013.1-2015.12

6.       国家自然科学基金，GPU通用计算系统检查点方法研究(61272190)，2013.1-2016.12

7.       国家自然科学基金，基于程序分析方法的Web安全研究(61173166) ，2012.1-2015.12

8.       国家自然科学基金，基于多向量收敛的网络定位算法研究(60703096)，2008.1-2008.12

9.       973国家重点基础研究发展计划项目子课题，GPU图形系统虚拟化方法研究，2007.07-2011.12

10.   国家自然科学基金，web系统的安全分析与防御方法研究（NO. 60803130），2009.01-2011.12

11.   中央高校基础科研扶持基金重点基础理论项目，安全可信虚拟计算系统研究， 2010.1-2012.12 

专利：

1.       一种基于多GPU的A*搜索方法。申请号：202010377266.3,申请日：2020年05月07日

2.       一种GPU上的图计算数据划分方法。申请号：201911020211.0，申请日：2019年10月25日

3.       一种基于深度学习进行JavaScript类型推断的方法。申请号：201911020317.0，申请日：2019年10月25日

4.       一种从Web日志中挖掘攻击频繁序列模式的方法。申请号：201610023573.5，申请日：2016年1月14日，已授权

5.       一种基于网络定位的负载均衡方法，专利号：ZL 200810143562.6

6.       一种基于动态光照图的增强现实系统光照算法，专利号：ZL 200910044517.X

7.       一个基于Wavelet Tree的网络数据包索引系统，申请号：201610027911.2

8.       一种减少检查点文件大小的方法，申请号：201610257288.X

9.       一种基于地址压缩技术的动态检测GPU上内存溢出的方法，申请号：201711114892.8

10.   基于GPU三种共享内存的隐藏通道的实现方法，申请号：201810211839.8

11.   基于行为的Cache攻击检测方法，申请号：201810449942.6

12.   一种基于动态二进制翻译框架的代码复用攻击检测系统，申请号：201210073563.4