A5062618254- Privacy-Preserving Technologies in Data
- Software Testing and Debugging Techniques
- Domain Adaptation and Few-Shot Learning
- Energy Harvesting in Wireless Networks
- Human Pose and Action Recognition
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Web Applications and Data Management
- Energy Efficient Wireless Sensor Networks
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced MIMO Systems Optimization
- Stochastic Gradient Optimization Techniques
- Smart Grid Energy Management
- Adversarial Robustness in Machine Learning
- Glioma Diagnosis and Treatment
- Advanced Wireless Network Optimization
- Cryptography and Data Security
- Brain Tumor Detection and Classification
- Anomaly Detection Techniques and Applications
- IoT and Edge/Fog Computing
Henan University
2020-2025
Nanchang University
2022-2025
Shanghai University of Engineering Science
2012-2024
Guangdong University of Technology
2024
Beijing Jiaotong University
2022-2024
Yunnan Agricultural University
2024
Ministry of Transport
2024
Shanghai University
2007-2023
Southern University of Science and Technology
2023
Xiangtan University
2022
The drone's open and untrusted environment may create problems for authentication data sharing. To address this issue, we propose a blockchain-enabled efficient secure sharing model 5G flying drones. In model, blockchain attribute-based encryption (ABE) are applied to ensure the security of instruction issues mechanism in employs smart contract access control, public key cryptography providing accounts ensuring accounts' security, distributed ledger audit. addition, speed up out-sourced...
Abstract Impaired epithelial regeneration is a crucial pathophysiological feature of ulcerative colitis (UC). Yes-associated protein (YAP1) appears to control cell proliferation and differentiation. In this study, we sought identify the roles YAP in intestinal (IEC) self-renewal, tumorigenesis. We first observed that was significantly reduced 62.5% (45/72) human UC tissues it dramatically enhanced during murine model. Using lentiviral infection, established YAP-overexpression (YAP WT ) mouse...
Rationale: Mesenchymal stem cells (MSCs) show promising therapeutic potential in treating inflammatory bowel disease (IBD) due to their immunomodulatory and trophic functions. However, efficacy is influenced by tissue origin, donator condition, isolation, expansion methods. Here, we generated phenotypically uniform MSCs from human embryonic (T-MSCs) explored the molecular mechanisms involved promoting mucosal integrity regeneration colitis mice. Methods: T-MSCs were injected intravenously...
Communication is widely known as the primary bottleneck of federated learning, and quantization local model updates before uploading to parameter server an effective solution reduce communication overhead. However, prior literature always assumes homogeneous for all clients, while in reality, devices are heterogeneous support different levels precision. This heterogeneity poses a new challenge: fine-quantized more accurate than coarse-quantized ones, how optimally aggregate them at open...
Abstract Single-cell analyses parse the brain’s billions of neurons into thousands ‘cell-type’ clusters residing in different brain structures 1 . Many cell types mediate their functions through targeted long-distance projections allowing interactions between specific types. Here we used epi-retro-seq 2 to link single-cell epigenomes and for 33,034 dissected from 32 regions projecting 24 targets (225 source-to-target combinations) across whole mouse brain. We highlight uses these data...
In this paper, we investigate the problem of maximizing throughput over a finite-horizon time period for sensor network with energy replenishment. The is important and challenging because it necessitates optimizing metrics short term rather than that are averaged long time. Unlike infinite-horizon problem, fact inefficiencies cannot be made to vanish infinitesimally small values, means requires more delicate control. optimization can formulated as convex but turns out highly complex....
Storage clouds, such as Amazon S3, are being widely used for web services and Internet applications. It has been observed that the delay retrieving data from placing into clouds is quite random, exhibits weak correlations between different read/write requests. This inspires us to investigate a key problem: can we reduce by transmitting replications in parallel or using powerful erasure codes? In this paper, study problem of reducing downloading cloud storage systems leveraging multiple...
The smart grid is the new generation of electricity that can efficiently utilize distributed sources energy (e.g., harvested renewable energy), and allow for dynamic price. In this paper, we investigate cost minimization problem an end-user, such as a home, community, or business, which equipped with devices when electrical appliances different levels delay tolerance. varying price presents opportunity to reduce bill from end-user's point view by leveraging flexibility schedule operations...
Nowadays, Federated Learning (FL) over Internet of Medical Things (IoMT) devices has become a current research hotspot. As new architecture, FL can well protect the data privacy IoMT devices, but security neural network model transmission not be guaranteed. On other hand, sizes popular models are usually relatively extensive, and how to deploy them on challenge. One promising approach these problems is reduce scale by quantizing parameters networks, which greatly improve cost. In previous...
Intestinal barrier function defects and dysregulation of intestinal immune responses are two key contributory factors in the pathogenesis ulcerative colitis (UC). Phenazine biosynthesis-like domain-containing protein (PBLD) was recently identified as a tumor suppressor gastric cancer, hepatocellular carcinoma, breast cancer; however, its role UC remains unclear. Therefore, we analyzed colonic tissue samples from patients with constructed specific epithelial PBLD-deficient (PBLDIEC-/-) mice...
In this paper, we investigate the utility maximization problem for a sensor network with energy replenishment. Each node consumes in its battery to generate and deliver data destination via multihop communications. Although can be replenished from renewable sources, allocation should carefully designed order maximize system performance, especially when replenishment profile is unknown advance. address joint of routing total utility, without prior knowledge profile. We first characterize...
Intelligent reflecting surfaces (IRSs) can improve the wireless link between transmitter and receiver by configuring propagation environments of system. In order to achieve intelligence configuration, channel state information is required. this paper, we study downlink estimation problem in an IRS-aided frequency division duplexing (FDD) multiple-input multiple-output (MIMO) We propose a two-phase training scheme such that direct (non-IRS channel) cascaded (IRS-aided be tracked two Kalman...
Vehicular ad hoc networks (VANETs) is one of the most promising approaches for Intelligent Transportation Systems (ITS). With rapid increase in amount traffic data, deep learning based algorithms have been used extensively VANETs. The recently proposed federated an attractive candidate collaborative machine where instead transferring a plethora data to centralized server, all clients train their respective local models and upload them server model aggregation. Model quantization effective...
As combination therapy becomes more common in clinical applications, predicting adverse effects of medications is a challenging task. However, there are three limitations the existing prediction models. First, they rely on single view drug and cannot fully utilize multiview information, resulting limited performance when capturing complex structures. Second, ignore subgraph information at different scales, which limits ability to model interactions between subgraphs. Third, has been research...