个人简历

2004年博士毕业留校上海交通大学计算机系工作，期间于2011-2012年至美国哥伦比亚大学计算机系作访问研究；2013年应邀加入华为研究院担任主任研究员及技术总监；2016年加入华东师范大学数据科学与工程学院。1998年和2001年分别在西南交通大学获得工学学士和工学硕士学位, 2004年在上海交通大学获得工学博士学位。

研究领域

并行与分布式系统、存储系统、系统虚拟化、操作系统与系统安全。""

近期论文

[1] 翁楚良, 特邀编辑, “面向大数据的计算机体系结构”专题, 中国计算机学会通讯, 2014年第4期
[2] Chuliang Weng, Qian Liu, Kenli Li, Deqing Zou. CloudMon: Monitoring Virtual Machines in Clouds. IEEE Transactions on Computers, 2016. (Accepted)
[3] Leibin Ni, Yuhao Wang, Hao Yu, Wei Yang, Chuliang Weng and Junfeng Zhao. An Energy-efficient Matrix Multiplication Accelerator by Distributed In-Memory Computing on Binary RRAM Crossbar. IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), January 2016.
[4] Chuliang Weng, Jianfeng Zhan, and Yuan Luo. TSAC: Enforcing Isolation of Virtual Machines in Clouds. IEEE Transactions on Computers, 2015, 64(5): 1470-1482
[5] Gang Lu, Jianfeng Zhan, Haining Wang, Lin Yuan, Yunwei Gao, Chuliang Weng, and Yong Qi. PowerTracer: Tracing Requests in Multi-tier Services to Reduce Energy Inefficiency. IEEE Transaction on Computers, 2015, 64(5): 1389-1401
[6] Yuhao Wang, Hao Yu, Leibin Ni, Mei Yan, Guangbin Huang, Chuliang Weng, Wei Yang and Junfeng Zhao. An Energy-efficient Nonvolatile In-memory Computing Architecture for Extreme Learning Machine by Domain-wall Nanowire Devices. IEEE Transactions on Nanotechnology, 2015, 14(6):998-1012
[7] Yuhao Wang, Xin Li, Hao Yu, Leibin Ni, Wei Yang, Chuliang Weng and Junfeng Zhao. Optimizing Boolean Embedding Matrix for Compressive Sensing in RRAM Crossbar. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2015
[8] Yuhao Wang, Hantao Huang, Leibin Ni, Hao Yu, Mei Yan, Chuliang Weng, Wei Yang, and Junfeng Zhao. An Energy Efficient Non-Volatile In-Memory Accelerator for Sparse-Representation Based Face Recognition. The 18th Design, Automation and Test in Europe (DATE), 2015
[9] Yuqing Zhu, Jianfeng Zhan, Chuliang Weng, Raghunath Nambiar, Jinchao Zhang, Xingzhen Chen, and Lei Wang. BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework. The 19th International Conference on Database Systems for Advanced Applications (DASFAA), pp. 483-492, 2014
[10] Hao Yu, Yuhao Wang, Shuai Chen, Wei Fei, Chuliang Weng, Junfeng Zhao, Zhulin Wei. Energy Efficient In-Memory Machine Learning for Data Intensive Image-Processing by Non-Volatile Domain-Wall Memory. The 19th Asia and South Pacific Design Automation Conference(ASP-DAC), pp. 191-196, 2014
[11] Chuliang Weng, Minyi Guo, Yuan Luo, and Minglu Li. Hybrid CPU Management for Adapting to the Diversity of Virtual Machines. IEEE Transactions on Computers, 2013, 62(7): 1332-1344
[12] Jianfeng Zhan, Lei Wang, Xiaona Li, Weisong Shi, Chuliang Weng, Wenyao Zhang, Xiutao Zang. Cost-aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers. IEEE Transactions on Computers, 2013, 62(11): 2155-2168
[13] Gang Lu, Jianfeng Zhan, Haining Wang, Lin Yuan, Chuliang Weng. PowerTracer: Tracing Requests in Multi-tier Services to Diagnose Energy Inefficiency. The 9th ACM/IEEE International Conference on Autonomic Computing (ICAC). San Jose, California, USA, pp. 97-102, 2012
[14] Chuliang Weng, Qian Liu, Lei Yu, Minglu Li. Dynamic Adaptive Scheduling for Virtual Machines. The 20th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC). San Jose, California, USA, pp. 239-250, 2011
[15] Lei Yu, Chuliang Weng, Minglu Li, and Yuan Luo. SNPdisk: An Efficient Para-virtualization Snapshot Mechanism for Virtual Disks in Private Clouds. IEEE Network, 2011, 25(4): 20-26
[16] Qian Liu, Chuliang Weng, Minglu Li, and Yuan Luo. An In-VM Measuring Framework for Increasing Virtual Machine Security in Clouds. IEEE Security & Privacy, 2010, 8(6): 56-62
[17] Chuliang Weng, Minglu Li, Zhigang Wang, and Xinda Lu. Automatic Performance Tuning for the Virtualized Cluster System. The 29th International Conference on Distributed Computing Systems (ICDCS). Quebec, Canada, pp. 183-190, 2009
[18] Chuliang Weng, Zhigang Wang, Minglu Li, and Xinda Lu. The Hybrid Scheduling Framework for Virtual Machine Sytems. The 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE). Washington, USA, pp. 111-120, 2009
CCF计算机体系结构专委会委员, CCF高性能计算专委会委员, CCF系统软件专委会委员