• Publications
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CSI-Based Indoor Localization
tl;dr
We explore the frequency diversity of the subcarriers in orthogonal frequency division multiplexing systems and propose a novel approach called FILA, which leverages the channel state information (CSI) to build a propagation model and fingerprinting system at the receiver. Expand
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  • 31
  • Open Access
Hybrid Genetic Algorithm Using a Forward Encoding Scheme for Lifetime Maximization of Wireless Sensor Networks
  • X. Hu, Jun Zhang, +4 authors Xiaonan Luo
  • Computer Science, Mathematics
  • IEEE Transactions on Evolutionary Computation
  • 1 October 2010
tl;dr
This paper proposes a hybrid approach of combining a genetic algorithm with schedule transition operations, termed STHGA, to address this problem. Expand
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  • 15
DISC: Deep Image Saliency Computing via Progressive Representation Learning
tl;dr
We provide a novel deep learning framework for fine-grained image saliency computing. Expand
  • 119
  • 9
  • Open Access
Autotrophic biocathode for high efficient sulfate reduction in microbial electrolysis cells.
The aim of this study was to utilize the biocathode microbial electrolysis cell (MEC) for sulfate removal from wastewater. Experiments were conducted using the two-chambered MEC under fed-batch andExpand
  • 36
  • 5
  • Open Access
A fuzzy neural network model for predicting clothing thermal comfort
tl;dr
This paper presents a Fuzzy Neural Network (FNN) based local to overall thermal sensation model for prediction of clothing thermal function in functional textile design system. Expand
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  • 5
Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems
tl;dr
This paper proposes an information sharing mechanism (ISM) to improve the performance of particle swarm optimization (PSO). Expand
  • 109
  • 3
Integrated chaotic systems for image encryption
tl;dr
This paper proposes two integrated chaotic systems (ICS), which conduct cascade, nonlinear combination, and switch operations to three basic 1D chaotic maps to generate new structures. Expand
  • 76
  • 3
  • Open Access
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding
tl;dr
In this work, we investigate simultaneously predicting categories of different levels in the hierarchy and integrating this structured correlation information into the deep neural network by developing a novel Hierarchical Semantic Embedding (HSE) framework. Expand
  • 23
  • 3
  • Open Access
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
tl;dr
We propose a Knowledge-Embedded Representation Learning (KERL) framework to incorporate the knowledge graph into image feature learning to promote fine-grained image recognition. Expand
  • 26
  • 3
  • Open Access
Progressive meshes transmission over a wired-to-wireless network
tl;dr
This paper introduces a flexible progressive mesh coding framework for 3D meshes, which can be adapted to the different conditions imposed by wired and wireless channels at the bitstream level. Expand
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