个人信息
Personal information
教授 博士生导师 硕士生导师
性别：男
在职信息：在职
所在单位：计算机科学与技术学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：计算机软件与理论- [21] Zaiyang Tang, Song Guo, Peng Li, Toshiaki Miyazaki, Hai Jin, Xiaofei Liao, “Energy-Efficient Transmission Scheduling in Mobile Phones Using Machine Learning and Participatory Sensing”, IEEE T. Vehicular Technology 64(7): 3167-3176 (2015).
- [22] Wenping Liu, Hongbo Jiang, Jiangchuan Liu, Xiaofei Liao, Hongzhi Lin, Tianping Deng, “On the Distance-Sensitive and Load-Balanced Information Storage and Retrieval for 3D Sensor Networks”, IEEE/ACM Transactions on Networking, 24(6): 3439-3449 (2016).
- [23] Wenping Liu, Tianping Deng, Yang Yang, Hongbo Jiang, Xiaofei Liao, Jiangchuan Liu, Bo Li, Guoyin Jiang, “Towards Robust Surface Skeleton Extraction and Its Applications in 3D Wireless Sensor Networks”, IEEE/ACM Transactions on Networking, 24(6): 3300-3313 (2016).
- [24] Traffic-Aware Geo-Distributed Big Data Analytics with Predictable Job Completion Time. IEEE Trans. Parallel Distrib. Syst. 28(6): 1785-1796 (2017).
- [25] Peng Li, Song Guo, Toshiaki Miyazaki, Xiaofei Liao, Hai Jin, Albert Y. Zomaya, Kun Wang:.
- [26] Yu Zhang, Lin Gu, Xiaofei Liao, Hai Jin, Deze Zeng, Bing Bing Zhou, “FRANK: A Fast Node Ranking Approach in Large-Scale Networks”, IEEE Network, 31(1): 36-43 (2017).
- [27] Yu Zhang, Xiaofei Liao*, Hai Jin, Geyong Min, “Resisting Skew-accumulation for Time-stepped Applications in the Cloud via Exploiting Parallelism”, IEEE Transactions on Cloud Computing, 3(1): 54-65 (2015).
- [28] Yu Zhang, Xiaofei Liao*, Hai Jin, Guang Tan, Geyong Min, “Inc-Part: Incremental Partitioning for Load Balancing in Large-Scale Behavioral Simulations”, IEEE Trans. Parallel Distrib. Syst. 26(7): 1900-1909 (2015).
- [29] Yu Zhang, Xiaofei Liao*, Hai Jin, Lin Gu, Guang Tan, Bing Bing Zhou, “HotGraph: Efficient Asynchronous Processing for Real-World Graphs”, IEEE Trans. Computers, 66(5): 799-809 (2017).
- [30] Yu Zhang, Xiaofei Liao*, Xiang Shi, Hai Jin, Bingsheng He, “Efficient Disk-based Directed Graph Processing: A Strongly Connected Component Approach”, IEEE Transactions on Parallel Distributed Systems, DOI: 10.1109/TPDS.2017.2776115, 2017.