Beijing University of Posts and Telecommunications

About: Beijing University of Posts and Telecommunications is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: MIMO & Quality of service. The organization has 39576 authors who have published 41525 publications receiving 403759 citations. The organization is also known as: BUPT.

Relation Structure-Aware Heterogeneous Information Network Embedding

Abstract: Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes into a low-dimensional space. Although most existing HIN embedding methods consider heterogeneous relations in HINs, they usually employ one single model for all relations without distinction, which inevitably restricts the capability of network embedding. In this paper, we take the structural characteristics of heterogeneous relations into consideration and propose a novel Relation structure-aware Heterogeneous Information Network Embedding model (RHINE). By exploring the real-world networks with thorough mathematical analysis, we present two structure-related measures which can consistently distinguish heterogeneous relations into two categories: Affiliation Relations (ARs) and Interaction Relations (IRs). To respect the distinctive characteristics of relations, in our RHINE, we propose different models specifically tailored to handle ARs and IRs, which can better capture the structures and semantics of the networks. At last, we combine and optimize these models in a unified and elegant manner. Extensive experiments on three real-world datasets demonstrate that our model significantly outperforms the state-of-the-art methods in various tasks, including node clustering, link prediction, and node classification.

Interactive floating full-parallax digital three-dimensional light-field display based on wavefront recomposing.

Abstract: Advanced three-dimensional (3D) imaging techniques can acquire high-resolution 3D biomedical and biological data, but available digital display methods show this data in restricted two dimensions. 3D light-field displays optically reconstruct realistic 3D image by carefully tailoring light fields, and a natural and comfortable 3D sense of real objects or scenes is expected. An interactive floating full-parallax 3D light-field display with all depth cues is demonstrated with 3D biomedical and biological data, which are capable of achieving high efficiency and high image quality. A compound lens-array with two pieces of lens in each lens unit is designed and fabricated to suppress the aberrations and increase the viewing angle. The optimally designed holographic functional screen is used to recompose the light distribution from the lens-array. The imaging distortion can be decreased to less than 1.9% from more than 20%. The real time interactive floating full-parallax 3D light-field image with the clear displayed depth of 30 cm can be perceived with the right geometric occlusion and smooth parallax in the viewing angle of 45°, where 9216 viewpoints are used.

Designing Energy-Efficient Wireless Sensor Networks with Mobile Sinks

Abstract: Mobile enable Wireless Sensor Network (mWSN) has been proposed to realize large-scale information gathering via networking wireless sensors and mobile sinks. Some fundamental design parameters in mWSN have been investigated in this article, such as cluster size, sink velocity, transmission range, and packet length. Our contributions include: 1) We propose to use multihop forwarding to form a cluster around the expected position of a mobile sink, in order to guarantee packet delay and minimize energy consumption. 2) Sink velocity should be carefully chosen, in order to make a compromise between sink-sensor meeting delay and message delivery delay. 3) Large transmission range and short packet length are both of benefit to lower the outage probability of packet transmission. Extensive simulations have been designed to evaluate the performance of mWSN in terms of packet delay, energy consumption and outage probability.

Finite-key analysis for measurement-device-independent quantum key distribution

Abstract: The length of signal pulses is finite in practical quantum key distribution. The finite-key analysis of an unconditional quantum key distribution is a burning problem, and the efficient quantum key distribution protocol suitable for practical implementation, measurement-device-independent quantum key distribution (MDI QKD), was proposed very recently. We give the finite-key analysis of MDI QKD, which removes all detector side channels and generates many orders of key rate higher than that of full-device-independent quantum key distribution. The secure bound of the ultimate key rate is obtained under the statistical fluctuations of relative frequency, which can be applied directly to practical threshold detectors with low detection efficiency and highly lossy channels. The bound is evaluated for reasonable values of the observed parameters. The simulation shows that the secure distance is around 10 km when the number of sifted data is ${10}^{10}$. Moreover the secure distance would be much longer in practice because of some simplified treatments used in our paper.

Similarity Fusion for Visual Tracking

Abstract: Multiple features' integration and context structure of unlabeled data have proven their effectiveness in enhancing similarity measures in many applications of computer vision. However, in similarity based object tracking, integration of multiple features has been rarely studied. In contrast to conventional tracking approaches that utilize pairwise similarity for template matching, our approach contributes in two different aspects. First, multiple features are integrated into a unified similarity to enhance the discriminative ability of similarity measurements. Second, the neighborhood context of the samples in forthcoming frame are employed to further improve the measurements. We utilize a diffusion process on a tensor product graph to achieve these goals. The obtained approach is validated on numerous challenging video sequences, and the experimental results demonstrate that it outperforms state-of-the-art t racking methods.