Jinghao Xu

ORCID: 0009-0005-1638-3661
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About
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Research Areas
  • RNA and protein synthesis mechanisms
  • Mobile Ad Hoc Networks
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Opportunistic and Delay-Tolerant Networks
  • Ultra-Wideband Communications Technology
  • Cooperative Communication and Network Coding
  • Energy Efficient Wireless Sensor Networks
  • Advanced Electrical Measurement Techniques
  • Wireless Communication Networks Research
  • Optical Network Technologies
  • Artificial Intelligence in Healthcare
  • Power Line Communications and Noise
  • Advanced Photonic Communication Systems
  • Satellite Communication Systems
  • Wireless Signal Modulation Classification
  • Advanced Optical Network Technologies
  • Machine Learning in Healthcare
  • AI in cancer detection

University of Electronic Science and Technology of China
2024

Sichuan University of Science and Engineering
2024

Harbin Institute of Technology
2014

Shenyang Aerospace University
2013

Fudan University
2013

George Washington University
2002-2006

Playing crucial roles in various cellular processes, such as recognition of specific nucleotide sequences, regulation transcription, and gene expression, DNA-binding proteins are essential ingredients for both eukaryotic prokaryotic proteomes. With the avalanche protein sequences generated postgenomic age, it is a critical challenge to develop automated methods accurate rapidly identifying based on their sequence information alone. Here, novel predictor, called “iDNA-Prot|dis”, was...

10.1371/journal.pone.0106691 article EN cc-by PLoS ONE 2014-09-03

Abstract Motivation: Owing to its importance in both basic research (such as molecular evolution and protein attribute prediction) practical application timely modeling the 3D structures of proteins targeted for drug development), remote homology detection has attracted a great deal interest. It is intriguing note that profile-based approach promising holds high potential this regard. To further improve detection, key step how find an optimal means extract evolutionary information into...

10.1093/bioinformatics/btt709 article EN Bioinformatics 2013-12-05

Abstract Identification of DNA‐binding proteins is an important problem in biomedical research as are crucial for various cellular processes. Currently, the machine learning methods achieve the‐state‐of‐the‐art performance with different features. A key step to improve these find a suitable representation proteins. In this study, we proposed feature vector composed three kinds sequence‐based features, including overall amino acid composition, pseudo composition (PseAAC) by Chou and...

10.1002/minf.201400025 article EN Molecular Informatics 2014-09-26

Protein remote homology detection is one of the central problems in bioinformatics, which important for both basic research and practical application. Currently, discriminative methods based on Support Vector Machines (SVMs) achieve state-of-the-art performance. Exploring feature vectors incorporating position information amino acids or other protein building blocks a key step to improve performance SVM-based methods. Two new were proposed, called SVM-DR SVM-DT. sequence-based method, vector...

10.1186/1471-2105-15-s2-s3 article EN cc-by BMC Bioinformatics 2014-01-01

In-band crosstalk has been widely considered as a major transmission impairment that significantly impacts the BER (bit error rate) performance of lightpaths in circuit-switched all-optical wavelength-routed networks. Such usually occurs when multiple occupying identical or adjacent wavelengths pass through an optical crossconnect node. Traditional WA (wavelength assignment) schemes pay little regard to physical layer QoS (quality service), and hence cannot provide optimized network...

10.1109/broadnets.2004.26 article EN 2004-12-23

Wireless sensor networks are energy constrained since sensors operate with limited battery capacity. Thus, consumption is one of the most critical issues in design routing protocols. In addition, link quality needs to be taken into account route decision for a wireless multihop network order efficiently exploit inherent spatial diversity. this paper we consider energy-aware and adaptive strategies UWB (ultra wide band) networks. We utilize rating capabilities offered by employ modulation...

10.1109/netuwb.2005.1469993 article EN 2005-07-27

In this paper, we propose a simple, effective and robust method based on the statistical moments of instantaneous features to classify digital modulation signals. This adopts tree structure scheme uses different in each branch make full use distinguishing type's characteristics. The proposed is capable differentiating ASK2, ASK4, FSK2, FSK4, PSK2 PSK4 signals at output typical high frequency channel with white Gaussian noise, multi-path delay Doppler shift. Unlike most other existing...

10.1109/icassp.2002.5745605 article EN IEEE International Conference on Acoustics Speech and Signal Processing 2002-05-01
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