Explanipedia

HRaccoon: A High-performance Configurable SCA Resilient Raccoon Hardware Accelerator Open

Ziying Ni, Ayesha Khalid, Zhang Zhao-yu, Yijun Cui, Weiqiang Liu , et al. · 2025

The lattice-based Raccoon scheme is one of the candidates in Round 1 of the National Institute of Standards and Technology (NIST) post-quantum cryptography (PQC) additional digital signatures standardization process. As a scheme with built…

Delta large-channel endoscopy versus unilateral biportal endoscopy decompressive laminectomy for lumbar spinal stenosis: a prospective randomized controlled trial Open

Ri‐bao Wei, Weiqiang Liu, Mingdong Yu, Yushan Zhu, Ruzhan Yao , et al. · 2025

Name of the registry: Chinese Clinical Trial Registry chictr.org.cn. ( http://www.chictr.org.cn/index.aspx ). Unique Identifying number or registration ID: ChiCTR2300076237. Hyperlink to your specific registration (must be publicly accessi…

A Highly Hardware Efficient ML-KEM Accelerator with Optimised Architectural Layers Open

Ziying Ni, Ayesha Khalid, Weiqiang Liu, Máire O׳Neill · 2024

The Module-Lattice-Based Key encapsulation Mechanism (ML-KEM) scheme, which is currently being standardised, is a quantum attack resistant KEM that is based on CRYSTALS-Kyber. CRYSTALS-Kyber is the only Public-key Encryption (PKE)/ KEM sch…

Genetic etiology and phenotypic characteristics of fetuses with 11q deletion (11q23.3-q25) syndrome Open

Tong Zhang, Xiaoyi Cong, Zhenming Li, Xianzhen Cao, Liang Hu , et al. · 2024

Objective: To investigate the clinical phenotype, genetic etiology, and diagnosis of 11q deletion (11q-) syndrome. Methods: In this study, pregnant women were selected from prenatal testing in Longgang Maternal and Child Health Hospital of…

A Highly Stable High-Speed Single-Ended Read/Write 10T SRAM for Low-Voltage Operation Open

Wang You, Yefan Xu, K. Zhang, Deming Zhang, Yu Gong , et al. · 2024

Prenatal diagnosis, ultrasound findings and pregnancy outcome of 7q11.23 deletion and duplication syndromes: what are the fetal features? Open

Xiaojin Luo, Hongyan Niu, Fei Zhou, Xiaohang Chen, Yuanyuan Pei , et al. · 2024

Our study broadened the clinical phenotype spectrum of fetuses with 7q11.23 deletions and duplications. Additionally, it conducted a preliminary evaluation of prenatal ultrasound findings and postnatal clinical phenotypes in follow-up case…

Noninvasive prenatal screening and diagnosis of two fetuses with Williams syndrome in a cohort of 19,607 pregnancies Open

Weiqiang Liu, Jinshuang Song, Yanmei Zhu, Tong Zhang, Xiaoyi Cong , et al. · 2024

NIPS screening for Williams syndrome can be achieved by enriching cell-free foetal DNA and improving bioinformatic analysis algorithms.

Progressive Approximation-Aware Training with Regularization and Transfer Learning for DNN Acceleration Open

Pengfei Huang, Ke Chen, Chenghua Wang, Weiqiang Liu · 2024

This study introduces a novel progressive approximation-aware training (AAT), which efficiently integrates regularization and transfer learning techniques. The primary objective is to capture the inherent characteristics of approximate har…

An Imperceptible and Owner-unique Watermarking Method for Graph Neural Networks Open

Linji Zhang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu · 2024

Graph Neural Networks (GNNs) have found widespread application across various domains, encompassing but not limited to social network analysis, recommendation systems, and fraud detection. Meanwhile, training a sophisticated GNN model is a…

Tracking the Leaker: An Encodable Watermarking Method for Dataset Intellectual Property Protection Open

Yifan Shang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu · 2024

Presently, numerous enterprises provide machine learning cloud services. However, the service provider may exploit user-uploaded data for unauthorized model retraining or illicit collection of user data for commercial model development. Th…

Prenatal Genetic Detection and Clinical Characteristics of Fetuses with Mosaic Trisomy 2 Open

Tong Zhang, Xiaoyi Cong, Xianzhen Cao, Yanan Liu, Liang Hu , et al. · 2024

Objective: To evaluate the clinical characteristics, pregnancy outcomes, and sensitivity of different prenatal diagnosis methods in four prenatal cases of mosaic trisomy 2. Methods: From November 2022 to March 2024, three fetuses and one a…

Prenatal diagnosis of a trisomy 7 mosaic case: CMA, CNV-seq, karyotyping, interphase FISH, and MS-MLPA, which technique to choose? Open

Xiaoyi Cong, Tong Zhang, Zhenming Li, Xiaojin Luo, Liang Hu , et al. · 2024

Objective This study aims to perform a prenatal genetic diagnosis of a high-risk fetus with trisomy 7 identified by noninvasive prenatal testing (NIPT) and to evaluate the efficacy of different genetic testing techniques for prenatal diagn…

The efficacy and safety of fluid gelatin for LSS undergoing PE-ULBD : a prospective, randomized controlled trial Open

Hao Yan, Ruzhan Yao, Mingdong Yu, Rongsheng Dou, Yu Zhang , et al. · 2024

Background. Absorbable fluid gelatin is a novel collagen hemostatic agent that has been validated in multiple surgical procedures. However, the efficacy of using this hemostatic agent during percutaneous endoscopic unilateral laminectomy f…

A Novel of 3d-Printing Porous Ti6al4v Scaffold Based on Tpms for Orthopedic Implants: Design and Biocompatibility Testing Open

Mengze He, Jui-Lin Wang, Song Wang, Xiaowen Zhao, Yanjiong Li , et al. · 2024

FPAX: A Fast Prior Knowledge-Based Framework for DSE in Approximate Configurations Open

Yuqin Dou, Chenghua Wang, Haroon Waris, Roger Woods, Weiqiang Liu · 2023

Current artificial intelligence and data science applications typically require complex computations and massive amounts of data handling, presenting unprecedented challenges for embedded platforms. Approximate computing has emerged as the…

An RRAM-based PUF with Adjustable Programmable Voltage and Multi-Mode Operation Open

Yijun Cui, Jiang Li, Chongyan Gu, Chenghua Wang, Weiqiang Liu · 2023

The resistive random access memory (RRAM) is one of the promising technology based solutions for energy-efficient reconfigurable logic in memory (LiM) designs. In this paper, a Multi-Mode Configurable Physical Unclonable Function (MC-PUF) …

VLCP: A High-Performance FPGA-based CNN Accelerator with Vector-level Cluster Pruning Open

Shuo Ran, Bi Wu, Ke Chen, Weiqiang Liu · 2023

Convolutional neural networks (CNNs) are widely used in computer vision, natural language processing, and other application scenarios. But deploying CNNs at the edge is challenging due to their large number of parameters. Pruning is a solu…

Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models Open

Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu · 2023

The intellectual property protection of deep learning (DL) models has attracted increasing serious concerns. Many works on intellectual property protection for Deep Neural Networks (DNN) models have been proposed. The vast majority of exis…

ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints Open

Mingfu Xue, Shichang Sun, Can He, Dujuan Gu, Yushu Zhang , et al. · 2023

The intellectual properties (IP) protection of deep neural networks (DNN) models has raised many concerns in recent years. To date, most of the existing works use DNN watermarking to protect the IP of DNN models. However, the DNN watermark…

A Fast Design Method of Anisotropic Dielectric Lens for Vortex Electromagnetic Wave Based on Deep Learning Open

Bingyang Liang, Yonghua Zhang, Yuanguo Zhou, Weiqiang Liu, Tao Ni , et al. · 2023

Orbital angular momentum (OAM) has made it possible to regulate classical waves in novel ways, which is more energy- or information-efficient than conventional plane wave technology. This work aims to realize the transition of antenna radi…

A 3.8-<i>μ</i>W 10-Keyword Noise-Robust Keyword Spotting Processor Using Symmetric Compressed Ternary-Weight Neural Networks Open

Bo Liu, Na Xie, Renyuan Zhang, Haichuan Yang, Ziyu Wang , et al. · 2023

A ternary-weight neural network (TWN) inspired keyword spotting (KWS) processor is proposed to support complicated and variable application scenarios. To achieve high-precision recognition of ten keywords under 5 dB~Clean wide range of bac…

HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation Open

Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu , et al. · 2022

The circuit complexity of dividers is more considerable than the basic arithmetic units like adders and multipliers. However, the performance of the divider has a significant impact on the system performance, leading to degradation if not …

High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features Open

Kai Liu, Bi Wu, Haonan Zhu, Weiqiang Liu · 2022

In the Big Data era, enormous amounts of data processing have caused an intolerable 'memory wall' challenge for traditional Von Neumann architectures. Therefore, more advanced Logic-in-memory (LiM) computing architectures are proposed with…

Low-cost stochastic number generator based on MRAM for stochastic computing Open

Wang You, Bi Wu, Hao Cai, Weiqiang Liu · 2022

Stochastic computing (SC) can transform the major operations of neural network, i.e. multiply-and-accumulate (MAC), into AND and multiplexer, which drastically reduce the hardware occupation and energy consumption. This paper proposes a no…

Capacity-oriented High-performance NV-TCAM Leveraging Hybrid MRAM Scheme Open

Didi Zhang, Bi Wu, Haonan Zhu, Weiqiang Liu · 2022

As a special type of memory, Ternary Content Addressable Memory (TCAM) has been widely employed in network routers and various applications that require high speed table lookup. However, the large cell area and high static power consumptio…

InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features Open

Mingfu Xue, Xin Wang, Yinghao Wu, NI Shi-feng, Yushu Zhang , et al. · 2022

Intellectual property (IP) protection for Deep Neural Networks (DNNs) has raised serious concerns in recent years. Most existing works embed watermarks in the DNN model for IP protection, which need to modify the model and lack of interpre…

Numerical Study of Gas Flow and Temperature Patterns in the Blast Furnace Throat Open

Debanga Nandan Mondal, Weiqiang Liu, Hauke Bartusch, Yalçın Kaymak, Timo Paananen , et al. · 2022

The gas distribution in the shaft is of key importance for the performance of the blast furnace process, since it affects the way in which the burden is heated and reduced, and also the pressure drop in the shaft and cohesive zone. Traditi…

Conference Committee Open

Mohamad Sawan, Weixin Gai, Weiqiang Liu, Xiaohang Wang, Wang Kang , et al. · 2022

Crankshaft HCF Research Based on the Simulation of Electromagnetic Induction Quenching Approach and a New Fatigue Damage Model Open

Songsong Sun, Weiqiang Liu, X. Zhang, Maosong Wan · 2022

In recent decades, the electromagnetic induction quenching approach has been widely applied in the surface treatment process of steel engine parts such as crankshafts. In this paper, the strengthening effect of this approach was selected t…

Editorial Special Issue on Circuits and Systems for Emerging Computing Paradigms Open

Shanshan Liu, Bi Wu, Ke Chen, Weiqiang Liu, Máire O׳Neill , et al. · 2022

AS Dennard’s law is coming to an end, on-chip power consumption reduction and throughput improvement due to technology scaling pose serious challenges; workloads of today’s applications (such as AI, big data, and the IoT) have also reached…

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