Yi Zhong
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View article: SOX2 drives esophageal squamous carcinoma by reprogramming lipid metabolism and histone acetylation landscape
SOX2 drives esophageal squamous carcinoma by reprogramming lipid metabolism and histone acetylation landscape Open
SOX2 is a potent oncodriver for various squamous cancers, but the underlying mechanism is largely unknown. Here we uncover a role of SOX2 in promoting global histone acetylation in esophageal squamous cancer cells (ESCCs). Mechanistic stud…
View article: Cross-Environment Device-Free Human Action Recognition via Wi-Fi Signals
Cross-Environment Device-Free Human Action Recognition via Wi-Fi Signals Open
Human action recognition (HAR) based on Wi-Fi signals has become a research hotspot due to its advantages of privacy protection, a comfortable experience, and a reliable recognition effect. However, the performance of existing Wi-Fi-based …
View article: Development and Initial Validation of the Multi-dimensional Attention Rating Scale in Highly Educated Adults
Development and Initial Validation of the Multi-dimensional Attention Rating Scale in Highly Educated Adults Open
The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
View article: Rapid Non-Destructive Detection of Formaldehyde Addition in Shrimp Based on Deep Learning-Assisted Portable Raman Spectroscopy
Rapid Non-Destructive Detection of Formaldehyde Addition in Shrimp Based on Deep Learning-Assisted Portable Raman Spectroscopy Open
View article: Effects of Chlamydomonas reinhardtii (Dangeard) Proteins Extracts on Storage Stability of Freshwater Shrimp Macrobrachium nipponense (De Haan)
Effects of Chlamydomonas reinhardtii (Dangeard) Proteins Extracts on Storage Stability of Freshwater Shrimp Macrobrachium nipponense (De Haan) Open
In this study, the extraction of Chlamydomonas reinhardtii Dangeard (C. reinhardtii) protein was optimized through response surface methodology. The optimal extractions parameters were 0.091 mol/L sodium chloride concentration, 31.02 mL/g …
View article: A High Dynamic Velocity Locked Loop for the Carrier Tracking of a Wide-Band Hybrid Direct Sequence/Frequency Hopping Spread-Spectrum Signal
A High Dynamic Velocity Locked Loop for the Carrier Tracking of a Wide-Band Hybrid Direct Sequence/Frequency Hopping Spread-Spectrum Signal Open
For hybrid direct sequence/frequency hopping (DS/FH) spread spectrum signals, even if the relative motion speed between the transmitter and receiver remains constant, the Doppler frequency will vary due to the continuous hopping of the car…
View article: Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation Open
To accommodate real-world dynamics, artificial intelligence systems need to cope with sequentially arriving content in an online manner. Beyond regular Continual Learning (CL) attempting to address catastrophic forgetting with offline trai…
View article: Robust gesture recognition method toward intelligent environment using Wi-Fi signals
Robust gesture recognition method toward intelligent environment using Wi-Fi signals Open
View article: An Off-Grid Compressive Sensing Algorithm Based on Sparse Bayesian Learning for RFPA Radar
An Off-Grid Compressive Sensing Algorithm Based on Sparse Bayesian Learning for RFPA Radar Open
In the application of Compressive Sensing (CS) theory for sidelobe suppression in Random Frequency and Pulse Repetition Interval Agile (RFPA) radar, the off−grid issues affect the performance of target parameter estimation in RFPA radar. T…
View article: Improved AR Model-Based Detectors for Range-Spread Targets in Scenarios with a Small Number of Pulses
Improved AR Model-Based Detectors for Range-Spread Targets in Scenarios with a Small Number of Pulses Open
High-resolution radar systems encounter a challenge where dispersed backscatter energy from targets results in a non-uniform power distribution across range cells. Although autoregressive (AR) modeling of heterogeneous clutter can enhance …
View article: An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recognition in Foliage Environments
An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recognition in Foliage Environments Open
View article: Digital Transformation in the Chinese Construction Industry: Status, Barriers, and Impact
Digital Transformation in the Chinese Construction Industry: Status, Barriers, and Impact Open
Digital transformation is the direction that the Chinese construction industry is moving toward. This paper aims to investigate its current status, major barriers, and potential impact. To achieve this goal, a questionnaire survey was carr…
View article: A High Strength Al-Zr Alloy with Good Electrical Conductivity by Combining Gas-Assisted Continuous Casting and Extrusion with Subsequent Thermomechanical Treatment
A High Strength Al-Zr Alloy with Good Electrical Conductivity by Combining Gas-Assisted Continuous Casting and Extrusion with Subsequent Thermomechanical Treatment Open
View article: A High Strength Al-Zr Alloy with Good Electrical Conductivity by Combining Gas-Assisted Continuous Casting and Extrusion with Subsequent Thermomechanical Treatment
A High Strength Al-Zr Alloy with Good Electrical Conductivity by Combining Gas-Assisted Continuous Casting and Extrusion with Subsequent Thermomechanical Treatment Open
View article: An Interference Sensing Algorithm Based on Duration Units of Frequency Points for Adaptive Frequency-Hopping System
An Interference Sensing Algorithm Based on Duration Units of Frequency Points for Adaptive Frequency-Hopping System Open
The adaptive Frequency-Hopping(FH) technique based on interference sensing can further enhance the anti-interference performance of hybrid Direct-Sequence/FH Spread Spectrum(DS/FH SS) system and FH Orthogonal Frequency Division Multiplexin…
View article: Device-Free Multi-Location Human Activity Recognition Using Deep Complex Network
Device-Free Multi-Location Human Activity Recognition Using Deep Complex Network Open
Wi-Fi-based human activity recognition has attracted broad attention for its advantages, which include being device-free, privacy-protected, unaffected by light, etc. Owing to the development of artificial intelligence techniques, existing…
View article: A Study on Improving the Ethnic Identity of Southeast Asian Chinese Children in the Post-Epidemic Era: A Case Study of the "Xunwei Jia Geng Love" Chinese Online Course
A Study on Improving the Ethnic Identity of Southeast Asian Chinese Children in the Post-Epidemic Era: A Case Study of the "Xunwei Jia Geng Love" Chinese Online Course Open
Chinese language teaching is booming and the Chinese language is gradually going global, and more and more Chinese expatriates are paying more attention to the education of their children's "roots". This paper draws on the teaching theory …
View article: Statistical Analysis and Machine Learning Prediction of Disease Outcomes for COVID-19 and Pneumonia Patients
Statistical Analysis and Machine Learning Prediction of Disease Outcomes for COVID-19 and Pneumonia Patients Open
The Coronavirus Disease 2019 (COVID-19) has spread all over the world and impacted many people’s lives. The characteristics of COVID-19 and other types of pneumonia have both similarities and differences, which confused doctors initially t…
View article: Wi-Fi-Based Location-Independent Human Activity Recognition with Attention Mechanism Enhanced Method
Wi-Fi-Based Location-Independent Human Activity Recognition with Attention Mechanism Enhanced Method Open
Wi-Fi-based human activity recognition is emerging as a crucial supporting technology for various applications. Although great success has been achieved for location-dependent recognition tasks, it depends on adequate data collection, whic…
View article: Optimal Mismatched Filter Design by Combining Convex Optimization With Circular Algorithm
Optimal Mismatched Filter Design by Combining Convex Optimization With Circular Algorithm Open
Mismatched filters (MMF) have been intensively explored for linear-frequency modulation (LFM) waveform sidelobe reduction. Unlike other design strategies, the use of convex optimization (CO) techniques is able to find the optimal design. H…
View article: Machine Learning Aided Key-Guessing Attack Paradigm Against Logic Block Encryption
Machine Learning Aided Key-Guessing Attack Paradigm Against Logic Block Encryption Open
Hardware security remains as a major concern in the circuit design ow. Logic block based encryption has been widely adopted as a simple but effective protection method. In this paper, the potential threat arising from the rapidly developin…
View article: Fuzzy System Based Medical Image Processing for Brain Disease Prediction
Fuzzy System Based Medical Image Processing for Brain Disease Prediction Open
The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the complexity of human brain tissues cause the…
View article: Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning
Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning Open
Wi-Fi-based device-free human activity recognition has recently become a vital underpinning for various emerging applications, ranging from the Internet of Things (IoT) to Human–Computer Interaction (HCI). Although this technology has been…
View article: Downlink Power Allocation Optimization in Pattern Division Multiple Access
Downlink Power Allocation Optimization in Pattern Division Multiple Access Open
Non-orthogonal multiple access (NOMA), in particular pattern division multiple access (PDMA), has been recently considered as the critical multiple access technologies deployed for 5G applications. However, optimizing power allocation (PA)…
View article: Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods
Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods Open
This study presents a combined Long Short-Term Memory and Extreme Gradient Boosting (LSTM-XGBoost) method for flight arrival flow prediction at the airport. Correlation analysis is conducted between the historic arrival flow and input feat…
View article: SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification Open
Cross-domain person re-identification (re-ID) is challenging due to the bias between training and testing domains. We observe that if backgrounds in the training and testing datasets are very different, it dramatically introduces difficult…
View article: Characteristics, Industrial Application, and Prospects of Continuous Extrusion Technology
Characteristics, Industrial Application, and Prospects of Continuous Extrusion Technology Open
At present, continuous extrusion technology is applied in the industrial production of traditional non-ferrous metal profiles, composite profiles, and thin-walled hollow profiles, such as pipes, belts, wires and rows. This technology yield…
View article: Research into target recognition techniques based on device-free sensing approach
Research into target recognition techniques based on device-free sensing approach Open
Using wireless communication signals, also known as radio-frequency (RF) signals, for not only data communication but also target detection and classification, is an emerging device-free sensing (DFS) technology that has a great potential …
View article: Optical design methods of non-rotationally symmetric optical systems with freeform surfaces
Optical design methods of non-rotationally symmetric optical systems with freeform surfaces Open
Nowadays freeform surfaces play important roles in improving the imaging per-formance in non-rotationally symmetric optical systems. However, there are currently no general rules for the design with freeform surfaces. In this work, the aim…
View article: Initial system design method for non-rotationally symmetric systems based on Gaussian brackets and Nodal aberration theory
Initial system design method for non-rotationally symmetric systems based on Gaussian brackets and Nodal aberration theory Open
Freeform surfaces play important roles in improving the imaging performance of off-axis optical systems. However, for some systems with high requirements in specifications, the structure of the freeform surfaces could be very complicated a…