Jiannong Cao . Selected Publications#
Dr. Cao has published extensively in his research areas with 5 books and over 500 referred papers , including 8 Best Paper Awards such as IEEE DSAA, IEEE SMARTCOMP, IEEE/IFIP EUC, IEEE ISPA, IEEE WCNC, etc. His Google H-Index is 60 with total 15727 citations.
1. Linchuan Xu, Xiaokai Wei, Jiannong Cao, and Philip S. Yu, "Embedding of Embedding (EOE) Joint Embedding for Coupled Heterogeneous Networks", Proceedings of the Tenth ACM Int'l Conf. on Web Search and Data Mining, 741-749, 2017.
Principal co-author - first author was Dr. Cao's Ph.D student. Embedding networks into a latent space to facilitate applications including visualization, link prediction and classification is an important research topic but existing works only consider homogeneous networks, i.e., networks with one type of nodes and one type of edges. This paper is the first to propose the coupled network embedding problem jointly considering the embedding of two homogeneous networks with inter-network edges. Moreover, the proposed model can solve the cold-start problem in either one of the two networks, which cannot be tackled by any existing network embedding model. This paper was published at ACM WSDM, which is one of the premier conferences on web-inspired research involving search and data mining. It has been cited by many top journals and conferences (Google citation 61).
2. Zongjian He, Jiannong Cao, Xuefeng Liu, "SDVN: enabling rapid network innovation for heterogeneous vehicular communication", IEEE Network, vol. 30, no. 4, pp. 10-15, July-August 2016.
Principal co-author - first author was Dr. Cao's Ph.D student. This paper is the first paper to propose the design and application of software defined network (SDN) to vehicular networks. An SDN-based architecture is proposed to enable rapid network innovation in SDN to realize flexible, efficient and large-scale vehicular communications. The paper was published in IEEE Network which has an impact-factor of 7.5. It was cited by many top conferences and journals. (Google citationc101).
3. Xuefeng Liu, Jiannong Cao, Shijie Tang, Jiaqi Wen, "Contactless Respiration Monitoring via Off-the Shelf WiFi Devices", IEEE Transactions on Mobile Computing (TMC). 15(10): 2466-2479 (October 2016).
Principal coauthor - first author was Dr. Cao's postdoctoral fellow. This paper is an extended version of the RTSS’2014 conference paper. It is the first work to develop a system and algorithm for low cost, highly accurate and completely non-obtrusive sleep monitoring based on off-the-shelf commodity WiFi devices. RTSS is a top conference in real-time systems and TMC is a premier journal in mobile computing with impact factor of 4.47. The paper has been cited by many research groups in wireless sensing. (Total Google citation 244).
4. Xuefeng Liu, Jiannong Cao, Steven Lai, Chao Yang, Hejun Wu, Youlin Xu, "Energy Efficient Clustering for WSN-based Structural Health Monitoring", IEEE INFOCOM 2011.
Principal coauthor - first author was Dr. Cao's postdoctoral fellow. Dr. Cao is the world-leading researcher in wireless sensor networks for structural health monitoring (SHM). SHM imposes extra requirements and more stringent constraints, causing conventional WSN solutions invalid. He published a series of high quality papers addressing various challenging issues and proposing solutions. His papers also have practical impact for real-world applications. He himself deployed WSN-SHM systems in HK and Mainland China, including LSK building in PolyU, CCTV tower in Beijing, and Hedong Bridge in Guangzhou.
This paper is the first to design a clustering algorithm that suits WSN for SHM. The effectiveness and efficiency of the proposed method is evaluated using both simulation and experiments. The paper was published in IEEE INFOCOM, which is the premier conference in the area of communications, and was cited by many top conferences and journals. (Google citation 96).
5. Md Zakirul Alam Bhuiyan , Guojun Wang , Jiannong Cao , Jie Wu, "Deploying Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring", IEEE Transactions on Computers, 2015, 64(2): 382-395.
Principal coauthor - first two authors were Dr. Cao's research assistant and postdoctoral fellow. This is the first paper to address and solve the fault tolerance problem via sensor deployment in WSN-based structural health monitoring (SHM). It proposes an approach to place backup sensors to repair the WSN and guarantee a specified degree of fault tolerance. The advantages of the method is demonstrated through real experiments. The paper was published in IEEE Transactions on Computers (TC), which is a premier journal in the computer field with the impact factor of 3.13. The paper has been cited by many top journals. (Google citation158).
6. Lei Yang, Jiannong Cao, Hui Cheng, and Yusheng Ji, "Multi-user Computation Partitioning for Latency Sensitive Mobile Cloud Applications", IEEE Transaction on Computers, 64(8): 2253-2266, 2015.
Principal coauthor - first author was Dr. Cao's PhD student. Elastic partitioning of computations between mobile devices and cloud is an important research topic but existing works only consider the partitioning of single user’s application. This is the first work to study the multi-user computation partitioning in mobile cloud systems taking into consideration of the competition among multiple users for the resources in the cloud. The paper proposes to solve the multi-user computation partitioning problem by jointly considering the partitioning of computations for each user and the scheduling of offloaded computations on the cloud resources. The paper has been cited by many top journals and conference, and recently extended to the area of edge computing. (Google citation120).
7. Lei Yang, Jiannong Cao, Yin Yuan, Tao Li, Andy Han, Alvin Chan, "A framework for partitioning and execution of data stream applications in mobile cloud computing", ACM SIGMETRICS Performance Evaluation Review 40 (4), 23-32. 2013.
Principal coauthor - first author was Dr. Cao's PhD student. As one of the earliest representative work on mobile cloud computing, this paper is the first to propose a framework and solutions for partitioning and execution of data stream applications, with the aim of maximizing the stream processing throughput. Existing work focused on the partitioning of workflow applications with the aim of minimizing the latency. The proposed methods have been used to augment the performance of many advanced mobile applications which take the camera or sensory streaming data as input. It has been cited by well-known research teams on mobile cloud computing. It is also one of the major works that lead to the Ministry of Education Natural Science Award in 2019 (second prize).(Google citation 310).
8. Shigeng Zhang, Jiannong Cao, Lijun Chen, Daoxu Chen, “Accurate and Energy Efficient Range-Free Localization in Mobile Sensor Networks”, IEEE Transactions on Mobile Computing. Vol. 9, No. 6, June 2010.
Principal coauthor - first author was Dr. Cao's research assistant. This paper proposes a set of novel localization algorithms applicable to both mobile and static sensor networks, representing a major breakthrough in reducing computational complexity of SMC localization algorithms with sampling efficiency improvement up to 95 percent; It also proposes the first iterative SMC localization algorithm to cope with accuracy degradation when nodes move very fast. This paper has been cited by many leading research groups. (Google citation179).
9. Weigang Wu, Jiannong Cao, Jin Yang, Michel Raynal, “Design and Performance Evaluation of Efficient Consensus Protocols for Mobile Ad Hoc Networks”, IEEE Transactions on Computers. Vol. 56, No. 8, Aug. 2007.
Principal coauthor - first author was Dr. Cao's PhD student. Consensus is a fundamental and challenging problem in fault tolerance of distributed systems. This seminal paper is a pioneer work in designing consensus protocols for mobile networking environments, bridging the gap between previous work for traditional distributed systems and new design for ad hoc wireless networks. It proposes a cluster-based hierarchical design of consensus protocols to reduce the message cost in achieving consensus. In addition to theoretical proof of correctness, the paper is the first to build real testbed for experimental evaluation of the algorithm's performance. This work has triggered a series of following works by researchers from major research institutes including Microsoft, AT&T Labs, EPFL and IRISA. (Google citation 67).
10. Jiannong Cao, Xingyu Feng, Jian Lu, and Sajal Das, “Mailbox-based Scheme for Mobile Agent Communications”, IEEE Computer, Vol. 35, No. 9, Sept. 2002.
Principal coauthor. Dr. Cao is the first to propose cooperative mobile agents for designing algorithms for distributed coordination. This paper provides a noel yet effective solution for communication among cooperative agents that can be used to track locations and reliably deliver messages to target agents. It proposes a mailbox-based scheme which assigns each agent a mailbox to buffer messages, but decouples the agent and mailbox to let them reside at different hosts and migrate separately. The significance of this paper is reflected by its uniform and structured method for characterizing existing protocols and designing new ones and evaluating their relative effectiveness and performance. The proposed method can also be applied to other forms of mobile objects, and therefore contributes significantly to developing mobile computing applications. (Google citation of 99).
