A5100379663- Advanced Wireless Communication Techniques
- Blind Source Separation Techniques
- Error Correcting Code Techniques
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Advanced Adaptive Filtering Techniques
- DNA and Biological Computing
- Image and Signal Denoising Methods
- Radar Systems and Signal Processing
- Indoor and Outdoor Localization Technologies
- Software Testing and Debugging Techniques
- Cooperative Communication and Network Coding
- Advanced Mathematical Modeling in Engineering
- Neural Networks and Applications
- Coding theory and cryptography
- Antenna Design and Optimization
- Advanced biosensing and bioanalysis techniques
- Wireless Signal Modulation Classification
- Advanced Computational Techniques and Applications
- Cancer Genomics and Diagnostics
- Advanced Algorithms and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Spectroscopy and Chemometric Analyses
- Computational Drug Discovery Methods
- Service-Oriented Architecture and Web Services
Fourth Affiliated Hospital of Guangxi Medical University
2025
Anhui University
2015-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Shanxi Medical University
2020-2024
Southwest Medical University
2024
Xiangnan University
2023
City University of Hong Kong
2023
Chengdu University of Traditional Chinese Medicine
2023
Chengdu Fifth People's Hospital
2023
Shandong Transportation Research Institute
2023
Scaling up to a large number of qubits with high-precision control is essential in the demonstrations quantum computational advantage exponentially outpace classical hardware and algorithmic improvements. Here, we develop two-dimensional programmable superconducting processor, Zuchongzhi, which composed 66 functional tunable coupling architecture. To characterize performance whole system, perform random circuits sampling for benchmarking, system size 56 20 cycles. The cost simulation this...
In this paper, we propose a class of robust stochastic subgradient methods for distributed learning from heterogeneous datasets at presence an unknown number Byzantine workers. The workers, during the process, may send arbitrary incorrect messages to master due data corruptions, communication failures or malicious attacks, and consequently bias learned model. key proposed is regularization term incorporated with objective function so as robustify task mitigate negative effects attacks....
In this letter, a computationally efficient subspace algorithm is developed for two-dimensional (2-D) direction-of-arrival (DOA) estimation with L-shaped array structured by two uniform linear arrays (ULAs). The proposed method requires neither constructing the correlation matrix of received data nor performing singular value decomposition (SVD) matrix. problem solved dealing three vectors composed first column, row and diagonal entries matrix, which reduces computational burden....
Drug-drug interactions (DDIs) prediction is a challenging task in drug development and clinical application. Due to the extremely large complete set of all possible DDIs, computer-aided DDIs methods are getting lots attention pharmaceutical industry academia. However, most existing computational only use single perspective information few them conduct based on biomedical knowledge graph (BKG), which can provide more detailed comprehensive lateral side flow. To this end, deep learning...
Coronary arteriongraphy (CAG) is an accurate invasive technique for the diagnosis of coronary heart disease (CHD). However, its procedure not appropriate detection CHD in annual physical examination. With successful application machine learning (ML) various fields, our goal to perform selective integration multiple ML algorithms and verify validity feature selection methods with personal clinical information commonly seen In this study, a two level stacking based model designed which 1...
We introduce a collaborative learning framework allowing multiple parties having different sets of attributes about the same user to jointly build models without exposing their raw data or model parameters. In particular, we propose Federated Stochastic Block Coordinate Descent (FedBCD) algorithm, in which each party conducts local updates before communication effectively reduce number rounds among parties, principal bottleneck for problems. analyze theoretically impact and show that when...
The sanding process caused by karstification in dolomite creates a special sandy stratum, where the frequent catastrophic instability of surrounding rock occurred during tunnel construction. In this study, micro-origin and macro-performance stratum are first discussed. Then, numerical model based on coupling method between discontinuous deformation analysis smoothed particle hydrodynamics is proposed to depict heterogeneous formation with different degrees. Following, mechanical behaviors...
This letter considered the passive sensing problem and proposed a new direction-of-arrival (DOA) estimation algorithm with joint squared-sine function (SS) atomic norm minimization (ANM), called SS-ANM. For reconfigurable intelligent surface (RIS) assisted system, SS (AN) are utilized to construct optimization of DOA estimation, where is used as an error cost AN model sparsity constraint. SS-ANM can achieve accurate when system noise impulsive noises, effectively suppress interference from...
The tumor-stroma ratio (TSR) has been regarded as an important factor associated with tumor metastasis, based on the 'seed and soil' theory, which may have guiding significance for selection of chemotherapy regimens. Therefore, a high TSR be new risk recurrence in patients stage II colorectal cancer (CRC). present study aimed to evaluate prognostic value CRC, especially computer-calculated TSR. A comprehensive literature retrieval was performed using PubMed, Web Science, Embase Cochrane...
The identification of drug-target interactions (DTIs) is a critical step in drug development. Experimental methods that are based on clinical trials to discover DTIs time-consuming, expensive, and challenging. Therefore, as complementary it, developing new computational for predicting novel DTI great significance with regards saving cost shortening the development period. In this paper, we present model DTIs, which uses sequence information proteins rotation forest classifier. Specifically,...
Study of polar codes in fading channels is great importance when applying wireless communications. Channel estimation a fundamental step for communication to be possible channels. Construction both systematic and nonsystematic based on an information set the known frozen bits. Efficient implementation exists. When it comes channel or tracking, additional pilot symbols are inserted codeword traditionally. In this paper, improve performance finite domain, selected from coded themselves. order...
ABSTRACT Classification of galaxy morphology is a hot issue in astronomical research. Although significant progress has been made the last decade classifying using deep learning technology, there are still some deficiencies spatial feature representation and classification accuracy. In this study, we present multiscale convolutional capsule network (MSCCN) model for morphology. First, improves layers multibranch structure to extract hidden features images. order further explore information...
In machinery fault diagnosis, it is fairly time consuming and expertise-demanded for manually selecting features, so profitable to automate this process rapid robust diagnosis. An automatic adaptive feature extraction scheme via K-SVD algorithm was proposed in paper, without additional classifier, the detection directly implemented by sparse representation. Higher animals apply integration of global local information identify unknown objects better recognition. Enlightened mechanism,...
Systematic polar codes are proposed by Arikan and shown to have better BER performance than non-systematic codes. From a recursive decomposition of the generator matrix codes, showed that encoding complexity systematic is also O(N log N) where N code block length. But process involves some additional calculations in transforming problem instances back forth. In this paper, using sparsity property matrix, we propose an which has same as presence memory array. Without elements, number...
Compared to the linear MIMO detectors, Belief Propagation (BP) detector has shown greater capabilities in achieving near-optimal performance and better nature iteratively cooperate with channel decoders. Aiming at real applications, recent works mainly fall into category of reducing complexity by simplified calculations, expense sacrifice. However, is still unsatisfactory exponentially increasing or required exponentiation operations. Furthermore, state-of-the-art (SOA) BP detectors...