47 Result(s)

Article

Multi-view Heterogeneous Graph Neural Networks for Node Classification

Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Hete...

** Zeng, Fang-Yuan Lei, Chang-Dong Wang, Qing-Yun Dai in Data Science and Engineering (2024)

Article

Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification

Existing unsupervised person re-identification approaches fail to fully capture the fine-grained features of local regions, which can result in people with similar appearances and different identities being as...

Qing Han, Longfei Li, Weidong Min, Qi Wang, Qingpeng Zeng… in Computational Visual Media (2024)

Article

Potential factors-embedding group recommendation for online education

Online education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member preference aggregation. However, potential factors such as t...

Qing Yang, Yifeng Wang, Zezheng Wu, **gai Zhang, Lianhai Liu… in Discover Computing (2024)

Article

Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining

Deep spectral clustering techniques are considered one of the most efficient clustering algorithms in data mining field. The similarity between instances and the disparity among classes are two critical factor...

Nongxiao Wang, Xulun Ye, Jieyu Zhao, Qing Wang in Neural Processing Letters (2024)

Article

Edge computing-oriented smart agricultural supply chain mechanism with auction and fuzzy neural networks

Powered by data-driven technologies, precision agriculture offers immense productivity and sustainability benefits. However, fragmentation across farmlands necessitates distributed transparent automation. We d...

Qing He, Hua Zhao, Yu Feng, Zehao Wang, Zhaofeng Ning… in Journal of Cloud Computing (2024)

Article

Intuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss

Fuzzy extreme learning machine (FELM) is an effective algorithm for dealing with classification problems with noises, which uses a membership function to effectively suppress noise in data. However, FELM has t...

Qingyun Gao, Qing Ai, Wenhui Wang in Neural Processing Letters (2024)

Article

DE3TC: Detecting Events with Effective Event Type Information and Context

Event Detection (ED) is a crucial information extraction task that aims to identify the event triggers and classify them into predefined event types. However, most existing methods did not perform well when pr...

Boyang Liu, Guozheng Rao, **n Wang, Li Zhang, Qing Cong in Neural Processing Letters (2024)

Article

TLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMTC) annotates related labels for unknown text from large-scale label sets. Transformer-based methods have become the dominant approach for solving the XMTC task due t...

Fei Zhao, Qing Ai, **angna Li, Wenhui Wang, Qingyun Gao… in Neural Processing Letters (2024)

Article

BatchHL \(^{+}\) : batch dynamic labelling for distance queries on large-scale networks

Many real-world applications operate on dynamic graphs to perform important tasks. In this article, we study batch-dynamic algorithms that are capable of updating distance labelling efficiently in order to ref...

Muhammad Farhan, Henning Koehler, Qing Wang in The VLDB Journal (2024)

Article

A universal programmable Gaussian boson sampler for drug discovery

Gaussian boson sampling (GBS) has the potential to solve complex graph problems, such as clique finding, which is relevant to drug discovery tasks. However, realizing the full benefits of quantum enhancements ...

Shang Yu, Zhi-Peng Zhong, Yuhua Fang, Raj B. Patel… in Nature Computational Science (2023)

Article

Efficient maintenance of highway cover labelling for distance queries on large dynamic graphs

Graphs in real-world applications are typically dynamic which undergo rapid changes in their topological structure over time by either adding or deleting edges or vertices. However, it is challenging to design...

Muhammad Farhan, Qing Wang in World Wide Web (2023)

Article

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential

The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experimen...

Qing Lyu, Josh Tan, Michael E. Zapadka… in Visual Computing for Industry, Biomedicine… (2023)

Article

Retraction Note: Application of optimized genetic algorithm based on big data in bus dynamic scheduling

**aoqiang Wang, Ren Qing-dao-er-ji in Cluster Computing (2023)

Article

Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma

Recent studies have shown that immunotherapies, including peptide vaccines, remain promising strategies for patients with lower grade glioma (LGG); however new biomarkers need to be developed to identify patie...

Changwu Wu, Wenyong Long, Chaoying Qin, **angyu Wang, Yuzhe Li… in Journal of Big Data (2023)

Article

PUMD: a PU learning-based malicious domain detection framework

Domain name system (DNS), as one of the most critical internet infrastructure, has been abused by various cyber attacks. Current malicious domain detection capabilities are limited by insufficient credible lab...

Zhaoshan Fan, Qing Wang, Haoran Jiao, Junrong Liu, Zelin Cui, Song Liu… in Cybersecurity (2022)

Article

Toward Enhancing Room Layout Estimation by Feature Pyramid Networks

As a fundamental part of indoor scene understanding, the research of indoor room layout estimation has attracted much attention recently. The task is to predict the structure of a room from a single image. In ...

Aopeng Wang, Shiting Wen, Yunjun Gao, Qing Li, Ke Deng… in Data Science and Engineering (2022)

Article

Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development

Glioblastoma (GBM) is the most common primary brain tumor in adults and is notorious for its lethality. Given its limited therapeutic measures and high heterogeneity, the development of new individualized ther...

Changwu Wu, Chaoying Qin, Wenyong Long, **angyu Wang, Kai **ao… in Journal of Big Data (2022)

Article

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., vi...

Felix Juefei-Xu, Run Wang, Yihao Huang… in International Journal of Computer Vision (2022)

Article

Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant

To investigate the clinical characteristics, epidemiological characteristics, and transmissibility of coronavirus disease 2019 (COVID-19) in a family cluster outbreak transmitted by a 3-month-old confirmed pos...

Guo-tian Lin, Yue-hua Zhang, Mei-fang **ao… in Health Information Science and Systems (2021)

Article

Analysis of the global situation of COVID-19 research based on bibliometrics

With the rapid global spread of the COVID-19 pandemic, researchers have contributed several important advances. The WHO and countries with severe outbreaks have developed diagnosis and treatment guidelines. He...

Fan Yang, Shuaijie Zhang, Qing Wang, Qi Zhang… in Health Information Science and Systems (2020)