Shuai Zhou

Fabrication of flexible composite electrodes and their application in flexible supercapacitors for wearable electronic devices

Weikang Wang, Qing Liu, Ang Lv, Shuai Zhou et autres

Abstract With the rapid development of flexible wearable electronics, the demand for lightweight, safe, and durable energy storage systems has grown dramatically. Flexible supercapacitors (FSCs), featuring high power density, ultrafast charge‐discharge capability, and long cycling life, have emerged as promising candidates for …

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Disentangling Malicious Memorization: Inference‐Time Backdoor Samples Detection via Self‐Influence Functions

Jingxin Chen, Shuai Zhou, Luyue Zhang, Yubo Wang et autres

ABSTRACT Deep learning models have been proven to be vulnerable to backdoor attacks in real‐world deployments. However, existing defense techniques face significant practical limitations during the inference stage: many require inaccessible training data or computationally expensive model retraining, rendering them infeasible for …

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Frequency‐Dependent Effects of Transauricular Vagus Nerve Stimulation on Alleviating Visceral Hypersensitivity: Involvement of the Nesfatin‐1/ CRF / CRF1R Pathway

Wanli Xu, Ziqin Zhou, Shuai Zhou, Ruirui Zhao et autres

BACKGROUND: Visceral hypersensitivity (VH) is acknowledged as a critical pathogenic mechanism underlying functional gastrointestinal disorders (FGIDs), which is influenced by dysregulation of the gut-brain axis. Transauricular vagus nerve stimulation (taVNS) is a clinically used intervention for the relief of visceral pain; however, …

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Environmental Self-Enhancement in PAM/SA Hydrogels: A Strategy for Deep Conformance Control in Heterogeneous Reservoirs

Shuai Zhou, Qiuyan Quan, Hongke Yang, Zhi Ye et autres

This study systematically investigates the swelling, time-dependent mechanical decay, and degradation of polyacrylamide (PAM)-based gels under simulated high-temperature reservoir conditions. A Ca 2+ -induced “environmentally self-enhancing” PAM/sodium alginate (SA) composite gel was designed to alleviate the pronounced performance decline caused by swelling …

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A diffuse interface model and fully decoupled, energy-stable scheme for the two-phase ferrofluid flows in porous media

Guodong Zhang, Shuai Zhou, Yunqing Huang, Xiaoming He

We propose a new diffuse interface model for two-phase porous media ferrofluid flows, employing the phase-field method and establishing an associated energy law. This thermodynamically consistent multi-physics model integrates the Cahn-Hilliard equations, Darcy equations, the magnetostatic equation, and magnetization equations. To efficiently …

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BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses Under Pruned Models

Shuai Zhou, Chi Liu, Minfeng Qi

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Parallel Dynamic Partitioning for Datapath Combinational Equivalence Checking

Shuai Zhou, Weikang Zhang, Xindi Zhang, Zite Jiang et autres

Combinational Equivalence Checking (CEC) is a crucial technique in electronic design automation for verifying the functional equivalence of combinational circuits. Recently, combinational circuit design increasingly incorporates more complex arithmetic structures, commonly known as datapath circuits. However, existing state-of-the-art tools often exhibit subpar …

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Dynamic revelation of early development in mouse embryo via Raman spectroscopy

Chenwei He, Runxin Yi, Jun Zhang, Nan Yan et autres

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Supraspinal kappa-opioid receptors: new therapeutic strategies for pain, pruritus, and negative emotions

Li Zhang, Shuai Zhou, Xinyu Li, Yue Ju et autres

Research on kappa-opioid receptor (KOR) regulation of pain and itching has focused primarily on spinal and peripheral levels. However, the role of central KOR in this process, as well as the mechanisms exacerbating negative emotional responses to pain and itching, remains unknown. …

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Defending Against Neural Network Model Inversion Attacks via Data Poisoning

Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou

Model inversion attacks pose a significant privacy threat to machine learning models by reconstructing sensitive data from their outputs. While various defenses have been proposed to counteract these attacks, they often come at the cost of the classifier's utility, thus creating a …

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Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It

Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu et autres

Transfer learning is an important approach that produces pre-trained teacher models which can be used to quickly build specialized student models. However, recent research on transfer learning has found that it is vulnerable to various attacks, e.g., misclassification and backdoor attacks. However, …

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Multi-objective optimization of ultra-high performance concrete based on life-cycle assessment and machine learning methods

Min Wang, Mingfeng Du, Hui Lv, Chong Wang et autres

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