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- research-articleMay 2024
Temporal Interest Network for User Response Prediction
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 413–422https://doi.org/10.1145/3589335.3648340User response prediction is essential in industrial recommendation systems, such as online display advertising. Among all the features in recommendation models, user behaviors are among the most critical. Many works have revealed that a user's behavior ...
- research-articleJuly 2024
Identification of MACC1 as a potential biomarker for pulmonary arterial hypertension based on bioinformatics and machine learning
Computers in Biology and Medicine (CBIM), Volume 173, Issue CMay 2024https://doi.org/10.1016/j.compbiomed.2024.108372Abstract BackgroundPulmonary arterial hypertension (PAH) is a life-threatening disease characterized by abnormal early activation of pulmonary arterial smooth muscle cells (PASMCs), yet the underlying mechanisms remain to be elucidated.
MethodsNormal ...
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Highlights- Multifaceted bioinformatical methods were applied to detect brand-new biomarkers in pulmonary arterial hypertension.
- MACC1 correlates clinical manifestations of pulmonary arterial hypertension.
- MACC1 regulates multiple activities ...
- ArticleJuly 2023
Research on Personality Traits of In-Vehicle Intelligent Voice Assistants to Enhance Driving Experience
HCI in Mobility, Transport, and Automotive SystemsJul 2023, Pages 236–244https://doi.org/10.1007/978-3-031-35678-0_15AbstractDespite the rapidly expanding research on in-car intelligent voice assistants, relatively little attention has been paid to the study of their personality traits and how to improve the user’s emotional experience by cutting through from this ...
- review-articleJune 2023
Clustering ensemble in scRNA-seq data analysis: Methods, applications and challenges
Computers in Biology and Medicine (CBIM), Volume 159, Issue CJun 2023https://doi.org/10.1016/j.compbiomed.2023.106939AbstractWith the rapid development of single-cell RNA-sequencing techniques, various computational methods and tools were proposed to analyze these high-throughput data, which led to an accelerated reveal of potential biological information. ...
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Highlights- Clustering ensemble is significant in reducing heterogeneity of single-cell transcriptome clustering partitions.
- research-articleApril 2023
An Adaptive Metadata Management Scheme Based on Deep Reinforcement Learning for Large-Scale Distributed File Systems
IEEE/ACM Transactions on Networking (TON), Volume 31, Issue 6Pages 2840–2853https://doi.org/10.1109/TNET.2023.3266400A major challenge confronting today’s distributed metadata management schemes is how to meet the dynamic requirements of various applications through effectively mapping and migrating metadata nodes to different metadata servers (MDS’s). ...
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- research-articleAugust 2023
Generating Head Animation for a Back-Projected Human-Like Robot Head
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial IntelligenceMarch 2023, Pages 230–235https://doi.org/10.1145/3594315.3594648Head animation, including facial expression and head motion, is a critical part for human-robot interaction. Most of the existing head animation methods rely on a set of pre-established joint configurations for expression generation. Moreover, the ...
- review-articleMarch 2023
Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications
Computers in Biology and Medicine (CBIM), Volume 155, Issue CMar 2023https://doi.org/10.1016/j.compbiomed.2023.106671AbstractDe novo drug development is an extremely complex, time-consuming and costly task. Urgent needs for therapies of various diseases have greatly accelerated searches for more effective drug development methods. Luckily, drug repurposing provides a ...
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Highlights- The latest progress in transcriptome-based drug repurposing was concluded.
- A bridge between drug repurposing approaches and transcriptome data types has been built.
- Five classical strategies have been illustrated in detail on ...
- research-articleMarch 2023
Intraoperative lung-protective ventilation adjusting tidal volume to a plateau pressure restriction in elderly patients: A randomized controlled clinical trial
Technology and Health Care (TAHC), Volume 31, Issue 22023, Pages 539–551https://doi.org/10.3233/THC-220144BACKGROUND:Lung-protective ventilation (LPV) strategies have been considered as best practice in the care of critically patients.
OBJECTIVE:This study aimed to investigate the effects individualized perioperative LPV with a positive end-expiratory ...
- research-articleDecember 2022
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration
- Xinyi Zhou,
- Junjie Ye,
- Chak-Wa Pui,
- Kun Shao,
- Guangliang Zhang,
- Bin Wang,
- Jianye Hao,
- Guangyong Chen,
- Pheng Ann Heng
ICCAD '22: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided DesignOctober 2022, Article No.: 57, Pages 1–9https://doi.org/10.1145/3508352.3549361Gate Sizing is an important step in logic synthesis, where the cells are resized to optimize metrics such as area, timing, power, leakage, etc. In this work, we consider the gate sizing problem for leakage power optimization with timing constraints. ...
- research-articleApril 2022
“This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders
WWW '22: Proceedings of the ACM Web Conference 2022April 2022, Pages 3685–3694https://doi.org/10.1145/3485447.3512264Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our aim in this work is to assess the intent of fake news spreaders. To ...
- doctoral_thesisJanuary 2022
Algorithmic Solutions to Combat Online Fake News
AbstractThe unprecedented growth of new information producing, distributing, and consuming every moment on the Web has fostered the rise of ``fake news.'' Because of its detrimental effect on democracy, global economies, and public health, effectively ...
- ArticleNovember 2021
An Attention-Based Forecasting Network for Intelligent Services in Manufacturing
AbstractMultivariate temporal data generally exists in the whole manufacturing process and forecasting lays the foundation for many intelligent services in industry. In this paper, we propose an end-to-end deep learning framework named dual-dimensional ...
- research-articleJanuary 2021
Rating of catering enterprises based on fuzzy hierarchy and k-means clustering
International Journal of Wireless and Mobile Computing (IJWMC), Volume 20, Issue 12021, Pages 77–83https://doi.org/10.1504/ijwmc.2021.113226This paper firstly collects the credit rating data such as food safety discipline, regulatory evaluation and administrative penalties, etc. Secondly, the Fuzzy Analytic Hierarchy Process (FAHP) model is applied to the rating of the catering enterprises. ...
- research-articleOctober 2020
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3205–3212https://doi.org/10.1145/3340531.3412880First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been declared as a global emergency in January, and a pandemic in March 2020 by the World Health Organization (WHO). Along with this pandemic, we are also experiencing an "...
- surveySeptember 2020
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
ACM Computing Surveys (CSUR), Volume 53, Issue 5Article No.: 109, Pages 1–40https://doi.org/10.1145/3395046The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four perspectives: the ...
- research-articleJune 2020
Fake News Early Detection: A Theory-driven Model
Digital Threats: Research and Practice (DTRAP), Volume 1, Issue 2Article No.: 12, Pages 1–25https://doi.org/10.1145/3377478Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how it ...
- ArticleMay 2020
: Similarity-Aware Multi-modal Fake News Detection
Advances in Knowledge Discovery and Data MiningMay 2020, Pages 354–367https://doi.org/10.1007/978-3-030-47436-2_27AbstractEffective detection of fake news has recently attracted significant attention. Current studies have made significant contributions to predicting fake news with less focus on exploiting the relationship (similarity) between the textual and visual ...
- research-articleNovember 2019
Network-based Fake News Detection: A Pattern-driven Approach
ACM SIGKDD Explorations Newsletter (SIGKDD), Volume 21, Issue 2December 2019, Pages 48–60https://doi.org/10.1145/3373464.3373473Fake news gains has gained significant momentum, strongly motivating the need for fake news research. Many fake news detection approaches have thus been proposed, where most of them heavily rely on news content. However, networkbased clues revealed when ...
- short-paperJanuary 2020
The role of user profiles for fake news detection
ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningAugust 2019, Pages 436–439https://doi.org/10.1145/3341161.3342927Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, social media also enables the widespread of fake news. Due to the ...
- tutorialJuly 2019
Fake News Research: Theories, Detection Strategies, and Open Problems
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningJuly 2019, Pages 3207–3208https://doi.org/10.1145/3292500.3332287Fake news has become a global phenomenon due its explosive growth, particularly on social media. The goal of this tutorial is to (1) clearly introduce the concept and characteristics of fake news and how it can be formally differentiated from other ...