A5100442089- Wireless Communication Security Techniques
- Image and Signal Denoising Methods
- Cooperative Communication and Network Coding
- Innovations in Concrete and Construction Materials
- Sparse and Compressive Sensing Techniques
- Music and Audio Processing
- Advanced Graph Neural Networks
- Anaerobic Digestion and Biogas Production
- Mathematical Analysis and Transform Methods
- COVID-19 epidemiological studies
- Additive Manufacturing and 3D Printing Technologies
- Advanced MIMO Systems Optimization
- Data-Driven Disease Surveillance
- Speech and Audio Processing
- DNA and Biological Computing
- Face and Expression Recognition
- Neural dynamics and brain function
- Diverse Musicological Studies
- Land Use and Ecosystem Services
- Indoor and Outdoor Localization Technologies
- Medical Image Segmentation Techniques
- Error Correcting Code Techniques
- Urban Transport and Accessibility
- Music Technology and Sound Studies
- Concrete and Cement Materials Research
Southeast University
2016-2025
Hebei University of Technology
2022-2023
University of California, Los Angeles
2022
Fielding Graduate University
2022
Guizhou Education University
2022
Guizhou University
2022
University Town of Shenzhen
2019-2021
Tsinghua University
2019-2021
Tsinghua–Berkeley Shenzhen Institute
2020-2021
Arizona State University
2017-2020
Nanopores can serve as high throughput, single-molecule sensing devices that provide insight into the distribution of static and dynamic molecular activities, properties, or interactions. We have studied double stranded DNA electrophoretic transport dynamics through fabricated nanopores in silicon nitride. A pore enables us to interrogate a broader range molecules with wider conditions than be investigated self-assembled protein lipid membrane.
Automatic facial Action Unit (AU) detection from video is a long-standing problem in expression analysis. AU typically posed as classification between frames or segments of positive examples and negative ones, where existing work emphasizes the use different features classifiers. In this paper, we propose method called Cascade Tasks (CoT) that combines tasks (i.e., frame, segment transition) for event detection. We train CoT sequential manner embracing diversity, which ensures robustness...
This study develops a new method for detecting and typing target DNA based on Cas9 nuclease, which was named as ctPCR, representing Cas9-sgRNA- or CRISPR-typing PCR. The technique can detect type easily, rapidly, specifically, sensitively. detects in three steps: (1) amplifying with PCR by using pair of universal primers (PCR1); (2) treating PCR1 products process referred to CAT, cutting, A tailing T adaptor ligation; (3) the CAT-treated general-specific (gs-primers) (PCR2). verified HPV16...
ABSTRACT COVID-19 is now widely spreading around the world as a global pandemic. In this report, we estimate tendency of and analyze associated epidemic risk, given that status quo continued without further measures being taken. The results show R 0 , excluding China, estimated to be 2.49 (95% CI: 2.15 – 2.92). United States, Germany, Italy Spain have peak values over 100,000. According dynamical model cluster analysis, category globe into four type regional epicenters outbreak: Southeast...
The musical signal produced by plucked instruments often exhibits non-stationarity due to variations in the pitch and amplitude, making estimation a challenge. In this paper, we assess different transcription processes algorithms applied signals captured optical sensors mounted on pipa—a traditional Chinese instrument—played using range of techniques. demonstrates distinctive arched feature during plucking. This facilitates onset detection avoid impact spurious energy peaks within vibration...
Abstract Background Since the 2019-nCoV (COVID-19) outbreaks in Wuhan, China, cumulative number of confirmed cases is increasing every day, and a large populations all over world are at risk. The quarantine traffic blockage can alleviate risk epidemic infections, henceforth evaluating efficacy such actions essential to inform policy makers raise public awareness importance self-isolation quarantine. Method We collected case data migration data, introduced factor Flow-SEIR model. By varying...
ABSTRACT Since December 1, 2019, the spread of COVID-19 is increasing every day. It particularly important to predict trend epidemic for timely adjustment economy and industries. We proposed a Flow-SEHIR model in this paper perform trends 2019-nCoV (COVID-19) China. The results show that number daily confirmed new cases reaches inflection point on Feb. 6 – 10 outside Hubei. For maximum temporal infected number, predicted peak value China except Hubei was estimated be 21721 (95% CI: 18764 -...
Post-stroke depression (PSD) is a frequent complication that worsens rehabilitation outcomes and patient quality of life. This study developed risk prediction model for PSD based on clinical socio-psychology features the early detection high patients.Risk predictors included history brain cerebral infarction (odds ratio [OR], 3.84; 95% confidence interval [CI], 2.22-6.70; P < 0.0001) four socio-psychological factors including Eysenck Personality Questionnaire with Neuroticism/Stability (OR,...
Cooperative localization differs from conventional localizations in using the measurements between unknown nodes, which provide relative location information of nodes.This paper investigates cooperative by adopting concept configuration that describes "shape" node network, without considering its absolute location, orientation, and/or scaling.Since is a non-Euclidean object, we introduce Procrustes coordinates as coordinate representation, suggest error independent metric, and then derive...
Abstract Teaching Linear Circuit Analysis Techniques with ComputersTraditional methods of instruction for elementary linear circuit analysis tend to be organizedaround a limited set problems and examples drawn from textbooks, no ability tocustomize the presentation needs individual students. Previously, we described ourinitial progress in developing software generate an unlimited number ofspecified types de novo, completely random topologies as well element values, asfull solutions based on...
We establish a new extremal inequality, which is further leveraged to give complete characterization of the rate region vector Gaussian CEO problem with trace distortion constraint.The proof this inequality hinges on careful analysis Karush-Kuhn-Tucker necessary conditions for non-convex optimization associated Berger-Tung scheme, enables us integrate perturbation argument by Wang and Chen projection method Rahman Wagner.