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- rapid-communicationMarch 2025
Note on the anti-Ramsey number for matching in hypercubes
Applied Mathematics and Computation (APMC), Volume 489, Issue Chttps://doi.org/10.1016/j.amc.2024.129154AbstractLet Q be a host graph and L ⊆ Q be a subgraph. The anti-Ramsey number a r ( Q , L ) of L in Q, is defined as the largest number t that allows the existence of a t-edge-colored Q which contains no rainbow L. In this paper, the anti-Ramsey number ...
- posterFebruary 2025
PipeLink: A Pipelined Resource Sharing System for Dataflow High-Level Synthesis
FPGA '25: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate ArraysPage 182https://doi.org/10.1145/3706628.3708842High-level synthesis (HLS) has received significant interest in hardware accelerator design due to its ability to reduce design time and make hardware design more accessible to software developers [3]. HLS methodologies can be categorized into two main ...
- research-articleFebruary 2025
RefSCAT: Formal Verification of Logic-Optimized Multipliers via Automated Reference Multiplier Generation and SCA-SAT Synergy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCADICS), Volume 44, Issue 2Pages 791–804https://doi.org/10.1109/TCAD.2024.3442987Formally verifying logic-optimized integer multipliers remains a crucial yet insufficiently addressed problem in both industry and academia, presenting significant verification challenges, particularly when verifying the large-scale logic-optimized ...
- research-articleFebruary 2025
Diverse Semantic Image Synthesis with various conditioning modalities
AbstractSemantic image synthesis aims to generate high-fidelity images from a segmentation mask, and previous methods typically train a generator to associate a global random map with the conditioning mask. However, the lack of independent control of ...
Highlights- Multiple constituent generators are proposed for spatially disentangled synthesis.
- Multi-modal conditioning mechanisms are designed for precise image editing.
- Our method is capable of various conditional visual generation tasks.
- research-articleJanuary 2025
Optimal Chromatic Bound for (, House)-Free Graphs
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- research-articleJanuary 2025
Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method
ACM Transactions on Quantum Computing (TQC), Volume 6, Issue 1Article No.: 9, Pages 1–18https://doi.org/10.1145/3678185We explore the use of classical programming techniques in implementing the quantum lattice Boltzmann method in the Intel Quantum SDK—a software tool for quantum circuit creation and execution on Intel quantum hardware. As hardware access is limited, we ...
- research-articleJanuary 2025
A Stokes–Dual–Porosity–Poroelasticity Model and Discontinuous Galerkin Method for the Coupled Free Flow and Dual Porosity Poroelastic Medium Problem
Journal of Scientific Computing (JSCI), Volume 102, Issue 2https://doi.org/10.1007/s10915-024-02771-3AbstractIn this paper, we introduce and solve a novel model that integrates confined flow within a dual porosity poroelastic medium with free flow in conduits. The model is structured around three distinct but interconnected regions: the matrix, micro-...
- research-articleJanuary 2025
A dual-branch convolutional neural network with domain-informed attention for arrhythmia classification of 12-lead electrocardiograms
Engineering Applications of Artificial Intelligence (EAAI), Volume 139, Issue PAhttps://doi.org/10.1016/j.engappai.2024.109480AbstractThe automatic classification of arrhythmia is an important task in the intelligent auxiliary diagnosis of an electrocardiogram. Its efficiency and accuracy are vital for practical deployment and applications in the medical field. For the 12-lead ...
Highlights- A new 12-lead ECG classification method significantly improves arrhythmias detection accuracy.
- A domain-informed attention mechanism enhances the model’s ability to capture ECG dynamic features.
- Experimental results on two public ...
- research-articleJanuary 2025
A discontinuous Galerkin method for the Brinkman–Darcy-transport problem
Journal of Computational and Applied Mathematics (JCAM), Volume 453, Issue Chttps://doi.org/10.1016/j.cam.2024.116155AbstractIn this paper, a weighted discontinuous Galerkin finite element method and an upwind format are presented to solve the coupled Brinkman–Darcy flow and transport model. The flow in a highly permeable region of the model is governed by the Brinkman ...
- research-articleDecember 2024JUST ACCEPTED
Metamorphic Relation Generation: State of the Art and Research Directions
ACM Transactions on Software Engineering and Methodology (TOSEM), Just Accepted https://doi.org/10.1145/3708521Metamorphic testing has become one mainstream technique to address the notorious oracle problem in software testing, thanks to its great successes in revealing real-life bugs in a wide variety of software systems. Metamorphic relations, the core component ...
- research-articleFebruary 2025
Semi-supervised pairwise transfer learning based on multi-source domain adaptation: A case study on EEG-based emotion recognition
AbstractNegative transfer mitigation in transfer learning and universal-model establishment are crucial in electroencephalography (EEG)-based emotion recognition research. This study proposed a multi-source domain adaptation pairwise transfer learning ...
- ArticleDecember 2024
An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System
- Rui Li,
- Md Mamunur Rahaman,
- Xiaoyan Li,
- Hongzan Sun,
- Jinzhu Yang,
- Minghe Gao,
- Marcin Grzegozek,
- Tao Jiang,
- Xinyu Huang,
- Chen Li
AbstractPan-cancer of the digestive system, which includes multiple organs and their accessory structures, presents significant challenges for clinical diagnosis due to its complexity and diversity. Although computer-aided diagnostic (CAD) techniques [1] ...
- research-articleDecember 2024
Tune-It: Optimizing Wire Reconfiguration for Sculpture Manufacturing
- Qibing Wu,
- Zhihao Zhang,
- Xin Yan,
- Fanchao Zhong,
- Yueze Zhu,
- Xurong Lu,
- Runze Xue,
- Rui Li,
- Changhe Tu,
- Haisen Zhao
SA '24: SIGGRAPH Asia 2024 Conference PapersArticle No.: 56, Pages 1–11https://doi.org/10.1145/3680528.3687588Wire sculptures are important in both industrial applications and daily life. We introduce a novel fabrication strategy for wire sculptures with complex geometries by tuning the target shape to a collision-free shape for the wire-bending machine and then ...
- research-articleDecember 2024
MiniCAT: Understanding and Detecting Cross-Page Request Forgery Vulnerabilities in Mini-Programs
CCS '24: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications SecurityPages 525–539https://doi.org/10.1145/3658644.3670294Mini-programs are lightweight apps running in super apps (such as WeChat, Baidu, Alipay, and TikTok), an emerging paradigm in the era of mobile computing. With the growing popularity of mini-programs, there is an increasing concern for their security and ...
- research-articleDecember 2024
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 12Pages 8655–8669https://doi.org/10.1109/TKDE.2024.3445992Incomplete multi-view clustering (IMVC) presents a significant challenge due to the need for effectively exploring complementary and consistent information within the context of missing views. One promising strategy to tackle this challenge is to recover ...
- research-articleDecember 2024
A discontinuous Galerkin method for a coupled Stokes–Biot problem
Journal of Computational and Applied Mathematics (JCAM), Volume 451, Issue Chttps://doi.org/10.1016/j.cam.2024.116086AbstractThe interaction between fluid and poroelastic structure is a complex problem that couples the Stokes equations with the Biot system. In this work, we rewrite the poroelastic equations using three fields (displacement, fluid pressure, and total ...
- research-articleNovember 2024
Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope
Computer Methods and Programs in Biomedicine (CBIO), Volume 256, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108380Abstract Background and objectives:In endoscopy, measurement of target size can assist medical diagnosis. However, limited operating space, low image quality, and irregular target shape pose great challenges to traditional vision-based measurement ...
Highlights- A novel method is proposed to measure size of irregular objects under monocular endoscope in any direction.
- Implicit scene representation is constructed for realistic image rendering to improve measurement accuracy.
- Suitability for ...
- research-articleOctober 2024
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 7162–7171https://doi.org/10.1145/3664647.3681496Deep Hashing (DH) has emerged as an indispensable technique for fast image search in recent years. To deploy DH on resource-limited devices, the Binary Neural Network (BNN) offers a solution that significantly reduces computations and parameters compared ...
- research-articleOctober 2024
Prototype-Guided Dual-Transformer Reasoning for Video Individual Counting
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 10258–10267https://doi.org/10.1145/3664647.3681211Video Individual Counting (VIC), which focuses on accurately tallying the total number of individuals in a video without duplication, is crucial for urban public space management and densely-populated areas planning. Existing methods suffer from ...
- research-articleOctober 2024
Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 5240–5249https://doi.org/10.1145/3664647.3681048Partially View-aligned Clustering (PVC) presents a challenge as it requires a comprehensive exploration of complementary and consistent information in the presence of partial alignment of view data. Existing PVC methods typically learn view ...