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- ArticleNovember 2024
AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition
Natural Language Processing and Chinese ComputingPages 145–157https://doi.org/10.1007/978-981-97-9437-9_12AbstractAutomatic speech recognition (ASR) is a crucial technology in the field of artificial intelligence, widely applied in modern society. The deep learning-based ASR method offers a simpler training framework and higher recognition rates compared to ...
- ArticleNovember 2024
3DLaneFormer: End-to-End 3D Lane Detection with Voxel Descriptors
Abstract3D lane detection plays an integral role in autonomous driving, traffic planning, and intelligent transportation systems. It bolsters driving safety and efficiency, improves navigation accuracy, and aids in comprehending and predicting complex ...
- ArticleNovember 2024
Multimodal Token Fusion and Optimization for 3D Human Mesh Reconstruction with Transformers
Abstract3D human recovery has attracted great attention and shown potential in games and movies. Confronting challenges related to occlusion and depth blurring in 3D human reconstruction, transformer encoder architectures have been used to make good ...
- research-articleJuly 2024
Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers?
AbstractWith the prevalence of generative AI tools like ChatGPT, automated detectors of AI-generated texts have been increasingly used in education to detect the misuse of these tools (e.g., cheating in assessments). Recently, the responsible use of ...
Highlights- We study the potential bias in detecting ChatGPT-generated essays in a large-scale assessment.
- Detectors based on linguistic features showed near-perfect detection performance.
- Detectors built using well-sampled data from GRE do ...
- research-articleDecember 2023
Investigating collaborative problem solving skills and outcomes across computer-based tasks
AbstractCollaborative problem solving (CPS) is a critical competency for the modern workforce, as many of todays' problems require groups to come together to find innovative solutions to complex problems. This has motivated increased interest in work ...
Highlights- Collaborative problem solving is differentially elicited in two different tasks
- Higher ratings of teamwork are associated with better physics task performance
- Social regulation behaviors positively affect performance in an online ...
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- ArticleNovember 2023
A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach
AbstractThe five-year survival rate of pancreatic cancer is extremely low, and the survival time of patients can be extended by timely detection and treatment. Deep learning-based methods have been used to assist radiologists in diagnosis, with remarkable ...
- research-articleSeptember 2023
Energy redistribution assisted charging of WRSNS with multiple mobile chargers having multiple base stations
AbstractThe utilization of mobile chargers (MCs) for charging the nodes in wireless rechargeable sensor networks (WRSNs) has been a significant research subject. However, existing works mainly focused on planning the moving paths of MCs ...
- ArticleJuly 2023
Modular 3D Interface Design for Accessible VR Applications
AbstractDesigned with an accessible first design approach, the presented paper describes how exploiting humans’ proprioception ability in 3D space can result in a more natural interaction experience when using a 3D graphical user interface in a virtual ...
- research-articleJuly 2023
Expert demonstrations guide reward decomposition for multi-agent cooperation
Neural Computing and Applications (NCAA), Volume 35, Issue 27Pages 19847–19863https://doi.org/10.1007/s00521-023-08785-6AbstractHumans are able to achieve good teamwork through collaboration, since the contributions of the actions from human team members are properly understood by each individual. Therefore, reasonable credit assignment is crucial for multi-agent ...
- research-articleJune 2023
Solution separation-based integrity monitoring for RTK positioning with faulty ambiguity detection and protection level
AbstractDue to the multipath and signal shading effects, there exist biases in the carrier phase measurements, which degrades the reliability of ambiguity resolution in real-time kinematic (RTK) positioning and, subsequently, the positioning accuracy. ...
- research-articleApril 2023
Do you know your partner's personality through virtual collaboration or negotiation? Investigating perceptions of personality and their impacts on performance
AbstractInterpersonal skills, including collaborative problem solving (CPS) and negotiation skills, are essential in many aspects of the 21st century. With the rapid development of technologies in the past decades, it has become increasingly prevalent ...
Highlights- We study how team members' personalities and the interaction processes impact performance on virtual tasks.
- Relationships between personality, interaction processes, and performance differ in collaboration and negotiation contexts.
- research-articleFebruary 2023
Using sequence mining to study students’ calculator use, problem solving, and mathematics achievement in the National Assessment of Educational Progress (NAEP)
AbstractUsing appropriate tools strategically to aid in problem solving is a crucial skill identified in K-12 mathematics curriculum standards. As more assessments transition from paper-and-pencil to digital formats, a variety of interactive ...
Highlights- We study digital tool use and problem solving in the NAEP mathematics assessment.
- research-articleNovember 2022
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks
AbstractThe metasurfaces offering the required spectral responses have ushered in a revolution of manipulating the light in a prescribed manner. A single-layer metasurface design is more appealing than a multi-layer one due to the fabrication ...
Highlights- Propose SLMGAN to translate spectral responses to symmetrical free-form patterns.
- Propose novel loss functions and reduce input number of SLMGAN for inverse designs.
- Propose generative network to simulate user-defined patterns ...
- research-articleOctober 2022
Cross-media retrieval of scientific and technological information based on multi-feature fusion
AbstractIn the era of big data, People’s lives are filled with all kinds of information. Scientific and technological information is utilized for scholars to understand the current technology trends, and to think about the source of ...
- research-articleMay 2022
YOLO-table: disclosure document table detection with involution
International Journal on Document Analysis and Recognition (IJDAR), Volume 26, Issue 1Pages 1–14https://doi.org/10.1007/s10032-022-00400-zAbstractAs financial document automation becomes more general, table detection is receiving more and more attention as an important part of document automation. Disclosure documents contain both bordered and borderless tables of varying lengths, and there ...
- research-articleMarch 2022
What’s in a “Username”? The Effect of Perceived Anonymity on Herding in Crowdfunding
Information Systems Research (INFORMS-ISR), Volume 33, Issue 1Pages 1–17https://doi.org/10.1287/isre.2021.1049This research investigates whether and how predecessors’ usernames—as evaluated from a perspective of perceived anonymity—affect successors’ herding momentum through the varying extent of perceived source credibility. Using a unique data set collected ...
This research examines the role of perceived anonymity in shaping herding behavior in online crowdfunding markets. Drawing on theories from social psychology literature, we argue that a lender forms different credibility perceptions toward preceding peers ...
- research-articleJanuary 2022
Human Behavior Recognition in Outdoor Sports Based on the Local Error Model and Convolutional Neural Network
With the rapid development of the Internet, various electronic products based on computer vision play an increasingly important role in people’s daily lives. As one of the important topics of computer vision, human action recognition has become the main ...
- research-articleJanuary 2022
Optimal Charging Scheduling and Management with Bus-Driver-Trip Assignment considering Mealtime Windows for an Electric Bus Line
Compared to a charging scheduling and management problem characterized by predetermined trip assignment, this study takes bus and driver scheduling into account, and mealtime windows must be guaranteed as one of the major labor regulations. A discretized ...
- research-articleSeptember 2021
A Fully Integrated 10-V Pulse Driver Using Multiband Pulse-Frequency Modulation in 65-nm CMOS
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (ITVL), Volume 29, Issue 9Pages 1665–1669https://doi.org/10.1109/TVLSI.2021.3092066This brief describes a fully integrated 10-V pulse driver. It comprises a four-stage switched-capacitor voltage multiplier (SCVM) and a dedicated high-voltage output driver (HVOD) with multiband pulse-frequency modulation (MPFM) to generate efficiently 10 ...