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171 Result(s)
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Ziwei **a
Computer Science
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Article
Multi-threshold image segmentation research based on improved enhanced arithmetic optimization algorithm
Aiming at the shortcomings of arithmetic optimization algorithm (AOA), which has low efficiency and is prone to fall into local optimal solutions, this paper proposes an improved AOA, called IAOA, and applies ...
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Article
Multi-granularity hypergraph-guided transformer learning framework for visual classification
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships. Hierarchical multi-granularity visual classification strives to cate...
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Article
Generalized Out-of-Distribution Detection: A Survey
Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of machine learning systems. For instance, in autonomous driving, we would like the driving system to issue an alert and h...
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Article
Open AccessMultiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...
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Article
Learning Generalizable Mixed-Precision Quantization via Attribution Imitation
In this paper, we propose a generalizable mixed-precision quantization (GMPQ) method for efficient inference. Conventional methods require the consistency of datasets for bitwidth search and model deployment t...
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Article
Massively parallel simulations of multi-stage compressors on Sunway TaihuLight
ASPAC is an in-house computational fluid dynamics (CFD) software for the simulation of flow in turbomachinery. In this paper, with a dual-level hybrid and heterogeneous programming method, we optimized the ASP...
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Article
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
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Article
Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection
We proposed and experimentally demonstrated a simple and novel photonic spiking neuron based on a distributed feedback (DFB) laser subject to side-mode optical pulse injection (SMOPI). The DFB laser chip is de...
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Article
ReliTalk: Relightable Talking Portrait Generation from a Single Video
Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgroun...
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Article
Bmsmlet: boosting multi-scale information on multi-level aggregated features for salient object detection
Nowadays, salient object detection methods based on deep learning have become a research focus. Therefore, how to reveal the representation mechanism and association rules of features at different levels and s...
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Article
Flag-transitive symmetric 2-designs of prime order
In this paper, we study a flag-transitive automorphism group G of symmetric 2- \((v,k,\lambda )\) ...
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Article
Tumor detection based on deep mutual learning in automated breast ultrasound
Tumor detection in automated breast ultrasound (ABUS) images is critical for computer-aided diagnosis. A single deep learning based network is prone to make overconfident prediction. In this paper, a DML-YOLOX...
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Book Series
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Chapter and Conference Paper
A Two-Stage Seeds Algorithm for Competitive Influence Maximization Considering User Demand
Competitive influence maximization (CIM) in online social network has received widespread attention and research in recent years. The traditional competitive influence maximization problem explores the competi...
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Chapter and Conference Paper
HPAN: A Hybrid Pose Attention Network for Person Re-Identification
To address the difficulty in expressing the correlation between different local features extracted by the current person re-identification feature extraction methods, and the challenge of effectively integrati...
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Article
Open AccessCoalition-based task assignment with priority-aware fairness in spatial crowdsourcing
With the widespread use of networked and geo-positioned mobile devices, e.g., smartphones, Spatial Crowdsourcing (SC), which refers to the assignment of location-based tasks to moving workers, is drawing incre...
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Book
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Chapter
Generative Networks
Synthesizing photorealistic human faces is an appealing yet challenging task. Before the advent of deep learning, researchers used predefined 3D face models to design generative models for facial images. Howev...
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Chapter and Conference Paper
Aspect-Based Fake News Detection
The detection of misinformation as “fake news” is vital for a well-informed and highly functioning society. Most of the recent works on the identification of fake news make use of deep learning and large langu...
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Chapter and Conference Paper
Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm
Recent research brings the strengths of neural networks to bear on CBR tasks such as similarity assessment and case adaptation. This paper further advances this direction by implementing both retrieval and ada...
