Jiannong Cao
Hong Kong Polytechnic University
992 Papers
6.5K Citations
Jiannong Cao is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 58, co-authored 898 publications. Previous affiliations of Jiannong Cao include Nanjing University & Nanjing Agricultural University.
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Papers
Anonymity in Distributed Read/Write Systems: An Introductory Survey
Michel Raynal,Jiannong Cao +1 more
- 09 May 2018
TL;DR: This paper is an algorithmic introduction to anonymity in asynchronous systems where processes communicate by reading and writing atomic read/write registers, and presents anonymity-tolerant implementations of several concurrent objects satisfying a well-defined progress condition (obstruction-freedom, non-blocking, or wait-freedom).
11
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction
TL;DR: Inspired by the effectiveness of Bayesian neural networks in handling data uncertainty, the Bayesian Spatio-Temporal Long Short-Term Memory Net layer is designed to more effectively learn the spatio-temporal features from the sparse and noisy traffic data.
11
Minimizing Building Electricity Costs in a Dynamic Power Market: Algorithms and Impact on Energy Conservation
Dawei Pan,Dawei Pan,Dan Wang,Jiannong Cao,Yu Peng,Xiyuan Peng +5 more
- 03 Dec 2013
TL;DR: This paper investigates how to cut the electricity bills of commercial buildings in a dynamic power market by developing a holistic planning of electricity purchasing schedule with thermal storage management, and appropriate room assignment schedules for classes/meetings usage.
On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction
Linchuan Xu,Xiaokai Wei,Jiannong Cao,Philip S. Yu +3 more
- 03 Apr 2017
TL;DR: Experiments on three real-world networks show that the intra-community homogeneities can be well preserved, and the mixed community-specific metrics perform better than a global similarity metric in terms of prediction accuracy.
10
A heuristic multicast algorithm to support QoS group communications in heterogeneous network
TL;DR: Theoretical analysis is given to show the correctness of DDVMA and simulations are performed to demonstrate the performance of DD VMA in terms of the multicast delay variation.