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Ivan Lee
University of South Australia
Distributed computingPattern recognitionComputer networkComputer visionComputer science
117Publications
16H-index
849Citations
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Publications 126
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#1Aidong QiuH-Index: 3
#2Mathias N. Aakyiir (UniSA: University of South Australia)
Last. Jun MaH-Index: 52
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Stretchable nanomaterial-based strain sensors are essential to soft electronics and robotics and wearable devices, but it is a challenge to calibrate those sensors having multiple constant gauge factors. We herein prepared stretchable elastomer/graphene composite sensors, and at the interface some graphene sheets were infiltrated within elastomer macromolecules. The infiltration facilitated strain transfer from the elastomer to the graphene film, thus both cyclic stability and high linearity wer...
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#1Shuo YuH-Index: 6
#2Feng XiaH-Index: 35
Last. Ivan LeeH-Index: 16
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#1Jia ZhaoH-Index: 6
Last. Ivan LeeH-Index: 16
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#1Xiaomei BaiH-Index: 9
#2Fuli ZhangH-Index: 4
Last. Ivan LeeH-Index: 16
view all 5 authors...
This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the impact of institution and paper simultaneously. This model utilises the heterogeneous structural measure method to unveil the impact of institution and paper, reflecting the effects of citation, institution, and structural measure. To evaluate the performance, the model first constructs a heterogeneous institution-citatio...
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#1Ke Hou (DUT: Dalian University of Technology)
#2Jiaying Liu (DUT: Dalian University of Technology)H-Index: 5
Last. Feng Xia (FedUni: Federation University Australia)H-Index: 35
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Network representation learning (NRL) plays a vital role in a variety of tasks such as node classification and link prediction. It aims to learn low-dimensional vector representations for nodes based on network structures or node attributes. While embedding techniques on complete networks have been intensively studied, in real-world applications, it is still a challenging task to collect complete networks. To bridge the gap, in this paper, we propose a Deep Incomplete Network Embedding method, n...
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#1Jie Hou (DUT: Dalian University of Technology)H-Index: 2
#1Jie Hou (DUT: Dalian University of Technology)H-Index: 3
Last. Feng Xia (DUT: Dalian University of Technology)H-Index: 35
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Abstract Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available scholarly data enable the exploration of data-driven prediction, which plays a pivotal role in finding the trend of scientific impact. In this paper, we analyse methods and applications in data-driven prediction in the science of science, and discuss their significance. First, we introduce the background and re...
1 CitationsSource
#1Jiaying Liu (DUT: Dalian University of Technology)H-Index: 5
#2Xiangjie Kong (DUT: Dalian University of Technology)H-Index: 18
Last. Feng Xia (DUT: Dalian University of Technology)H-Index: 35
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Abstract Data Mining and Information Retrieval is an emerging interdisciplinary discipline dealing with Information Retrieval and Data Mining techniques. It has undergone rapid development with the advances in mathematics, statistics, information science, and computer science. In this paper, we present an empirical analysis of publication metadata obtained from 6 top-tier journals and 9 conferences for the first 16 years of the 21st Century, and evaluate the dynamic characteristics of Data Minin...
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#1Jingjing Guo (Zhengzhou University)
#2Yun Tie (Zhengzhou University)H-Index: 1
Last. Ivan Lee (UniSA: University of South Australia)H-Index: 16
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Synthesizing virtual objects in a real scene is an important technique in augmented reality. Immersing these virtual objects into the scene can be challenging, for instance in environments with the presence of fog. This paper investigates strategies for augmenting virtual objects on foggy scenes. Firstly, we synthesize the foggy image including original virtual objects, then depth map of single image is obtained by adapting Conditional Generative Adversarial Networks, which takes the original fo...
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