A5102025730- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Advanced Memory and Neural Computing
- Retinal Imaging and Analysis
- Intraocular Surgery and Lenses
- Blind Source Separation Techniques
- Image and Video Quality Assessment
- Multimedia Communication and Technology
- Cloud Computing and Resource Management
- Ophthalmology and Visual Impairment Studies
- Semiconductor materials and devices
- Age of Information Optimization
- Advanced Adaptive Filtering Techniques
- Single-cell and spatial transcriptomics
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Advanced Neural Network Applications
- Advanced Computing and Algorithms
- Evaluation Methods in Various Fields
- Advanced Technologies in Various Fields
- Corneal Surgery and Treatments
- Acute Myeloid Leukemia Research
- Customer Service Quality and Loyalty
Fudan University
2020-2025
Zhengzhou University
2024-2025
Eye & ENT Hospital of Fudan University
2020-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2021-2024
Peng Cheng Laboratory
2024
Beijing Tsinghua Chang Gung Hospital
2023
Tsinghua University
2023
Xiyuan Hospital
2023
Dongguan University of Technology
2021-2022
Nanjing University of Science and Technology
2010-2022
Abstract Spin-engineering with electrocatalysts have been exploited to suppress the “shuttle effect” in Li–S batteries. Spin selection, spin-dependent electron mobility and spin potentials activation barriers can be optimized as quantum exchange interactions leading a significant reduction of electronic repulsions orbitals catalysts. Herein, we anchor MgPc molecules on fluorinated carbon nanotubes (MgPc@FCNT), which exhibits single active Mg sites axial displacement. According density...
Grape seed extract (GSE) has been reported to exert protective effects on various forms of cardiac disorders. The cardiovascular GSE are believed be ascribed its antioxidative properties. A series studies have demonstrated that polyphenols instrumental for the properties GSE. This study was undertaken investigate whether two major isolated from (catechin and proanthocyanidin B4) could increase endogenous antioxidant enzymes in cardiomyocytes, such increased cellular defenses provide...
Building upon the prevailing concept of edge computing (EC), a distributed EC market requires decentralized and verified transaction management to trade resources. Towards this goal, we study blockchain-aided wherein each data service operator (DSO) rents group nodes (ECNs) leases ECNs user terminals (UTs) provide computation offloading services. A trustworthiness model is introduced evaluate quality network entity throughout transactions. We develop two-level trading mechanism over smart...
Interconnection plays an important role in performance and power of CMP designs using deep sub-micron technology. The network-on-chip (NoCs) has been proposed as a scalable high-bandwidth fabric for interconnect design. advent the 3D technology provided further opportunity to reduce on-chip communication delay. However, design NoC topologies distinctions from 2D NoCs or off-chip interconnection networks. First, current stacking allows only vertical inter-layer links. Hence, there cannot be...
Phase-Change Memory (PCM) has emerged as a promising low-power main memory candidate to replace DRAM. The problems of PCM are that writes much slower and more power hungry than reads, write bandwidth is lower read bandwidth, limited endurance. Adding an extra layer cache, which logically the last-level cache (LLC), can mitigate drawbacks PCM. However, writebacks from LLC might (a) overwhelm stall application, (b) shorten lifetime, (c) increase energy consumption. Cache partitioning...
For memory-intensiv e workloads with large memory footprints, superpages are effective to avoid address translation overhead, which can be a critical performance bottleneck. A superpage is virtual page that mapped an equivalently-sized amount of contiguous physical pages. Superpage mapping assumes does not contain retired pages, important technique improve resilience: the OS avoids allocating pages have detected errors. Retired create unusable "holes" in memory. We show even small percentage...
Aims/Purpose: To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) fundus features. Methods: 616 patients were enrolled. CSF was measured the quantitative method. Myopic macular degeneration (MMD) graded according to International META‐PM Classification. Thickness macula peripapillary retinal nerve fiber layer (p‐RNFL) assessed by photography optical coherence tomography,...
Aims/Purpose: To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) fundus features. Methods: 616 patients were enrolled. CSF was measured the quantitative method. Myopic macular degeneration (MMD) graded according to International META‐PM Classification. Thickness macula peripapillary retinal nerve fiber layer (p‐RNFL) assessed by photography optical coherence tomography,...
Abstract Developing the highly efficient catalysts is a great challenge for accelerating redox reactions in Li−S batteries. Inspired by single‐atom and metalloproteins, it makes full use of advantages metal–organic frameworks (MOFs) as electrocatalysts. Herein, series 2D metal‐bonded metalloporphyrin MOFs are prepared with 5,10,15,20‐tetrakis(4‐pyridyl) cobalt porphyrin (CoTPyP) building blocks transition metals (M═Mn, Fe, Co, Ni, Cu) nodes, respectively. The crystalline structures...
A rising horizon in chip fabrication is the 3D integration technology. It stacks two or more dies vertically with a dense, high-speed interface to increase device density and reduce delay of interconnects across dies. However, major challenge technology increased power which brings concern heat dissipation within processor. High temperatures trigger voltage frequency throttlings hardware degrade performance. Moreover, high impair processorpsilas reliability its lifetime. To alleviate this...
Phase change memory (PCM) has emerged as a promising technology for main due to many advantages, such better scalability, non-volatility and fast read access. However, PCM's limited write endurance restricts its immediate use replacement DRAM. Recent studies have revealed that PCM chip which integrates millions billions of bit cells non-negligible variations in endurance. Wear leveling techniques been proposed balance operations different regions. To further prolong the lifetime device after...
Write bandwidth is an inherent performance bottleneck for Phase Change Memory (PCM) two reasons. First, PCM cells have long programming time, and second, only a limited number of can be programmed concurrently due to current write circuit constraints,
Mobile edge computing (MEC) enables services at the network closer to mobile users (MUs) reduce transmission latency and energy consumption. Deploying servers in small base stations (SBSs), operators make profit by offering MUs with services, while purchase solve their own computation tasks quickly energy-efficiently. In this context, it is of particular importance optimize resource allocation service pricing each SBS, subject its limited communication resources. To address issue, we...
Purpose: To describe the distribution of angle α and κ in a population with cataract Shanghai. Setting: Eye Ear, Nose, Throat Hospital, Fudan University, Shanghai, China. Design: Hospital-based, cross-sectional study. Methods: Angle α, κ, other ocular biometric parameters were determined by IOLMaster 700. The distributions their associations systemic assessed. Results: This study included 15 127 eyes patients. mean values 0.45 ± 0.21 mm 0.30 0.18 mm, respectively. both predominantly located...
The number of on-chip cores modern chip multiprocessors (CMPs) is growing fast with technology scaling. However, it remains a big challenge to efficiently support cache coherence for large scale CMPs. conventional snoopy and directory protocols cannot be smoothly scaled many-core or thousand-core processors. Snoopy introduce power overhead due enormous amount tag probing triggered by broadcast. Directory performance penalty indirection, storage storing directories.This paper addresses the...
To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) fundus features.
Limited PCM write bandwidth is a critical obstacle to achieve good performance from hybrid DRAM/PCM memory systems. The severely restricted in devices, which harms application performance. Indeed, as we show, it more important reduce traffic than read latency for To the number of writes, propose DRAM cache organization that employs compression. A new delta compression technique modified data used large ratio. Our approach can selectively and predictively apply improve its efficiency designed...
Big Data is a concept proposed on the basis of cloud computing, referring to large-scale distributed data processing applications that operate exceptionally large amounts data. Wireless body area network (WBAN) dynamic with sensor nodes in, or around monitor physical parameters. The these parameters so which we called WBAN big traditional methods can not process them efficiently. In this paper, propose overall framework, and apply MapReduce HBase process, store update Two problems data:...
In recent years, the research on electroencephalography (EEG) has focused feature extraction of EEG signals. The development convenient and simple acquisition devices produced a variety signal sources diversity data. Thus, adaptability classification methods become significant. This study proposed deep network model for autonomous learning signals, which could self-adaptively classify signals with different sampling frequencies lengths. artificial design not obtain stable results when...
Process variations in integrated circuits have significant impact on their performance, leakage and stability. This is particularly evident large, regular dense structures such as DRAMs. DRAMs are built using minimized transistors with presumably uniform speed an organized array structure. variation can introduce latency disparity among different memory arrays. With the proliferation of 3D stacking technology, become a favorable choice for top multicore processor last level cache large...
Background Due to complicated and variable fundus status of highly myopic eyes, their visual benefit from cataract surgery remains hard be determined preoperatively. We therefore aimed develop an optical coherence tomography (OCT)-based deep learning algorithms predict the postoperative acuity eyes after surgery. Materials Methods The internal dataset consisted 1,415 having surgeries in our hospital. Another external 161 Heping Eye Hospital. Preoperative macular OCT images were set as only...
Abstract Optical coherence tomography angiography (OCTA) has been a frequently used diagnostic method in neovascular age-related macular degeneration (nAMD) because it is non-invasive and provides comprehensive view of the characteristic lesion, choroidal neovascularization (CNV). In order to study its characteristics, an automated needed identify quantify CNV. Here, we have developed deep learning model that can automatically segment CNV regions from OCTA images. Specifically, use ResNeSt...
The proliferation of Chip Multiprocessors (CMPs) has led to the integration large on-chip caches. For scalability reasons, a cache is often divided into smaller banks that are interconnected through packet-based Network-on-Chip (NoC). With increasing number cores and integrated on single die, network introduces significant communication latency power consumption. In this paper, we propose novel scheme exploits Frequent Value compression optimize performance NoC. Our experimental results show...