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- research-articleJune 2024
A Survey of Trustworthy Representation Learning Across Domains
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 18, Issue 7Article No.: 173, Pages 1–53https://doi.org/10.1145/3657301As AI systems have obtained significant performance to be deployed widely in our daily lives and human society, people both enjoy the benefits brought by these technologies and suffer many social issues induced by these systems. To make AI systems good ...
- research-articleApril 2024
TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition
AbstractSign Language Recognition (SLR) is an increasingly popular research topic due to its extensive potential applications, such as education, healthcare, emergency response, and social interaction. Sign language is a complex and dynamic language ...
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Highlights- A universal skeleton multi-feature has been proposed to characterize sign language motions from different perspectives.
- An end-to-end multi-stream network architecture has been constructed to efficiently extract multiple feature ...
- research-articleApril 2024
Dynamic trajectory partition optimization method based on historical trajectory data
Applied Soft Computing (APSC), Volume 151, Issue CJan 2024https://doi.org/10.1016/j.asoc.2023.111120AbstractPartitioning dynamic trajectory data can improve the efficiency and accuracy of trajectory data processing, provide a foundation for trajectory data mining and analysis. However, with the continuous growth of trajectory data scales and the urgent ...
Highlights- We formalize the dynamic trajectory partition problem for trajectory queries.
- We propose a cost model for distribute data among nodes.
- We transform incremental partitioning into pre-partitioning to avoid data shuffling.
- We ...
- research-articleDecember 2023
On Optimality of Barrier Dividend Control Under Endogenous Regime Switching with Application to Chapter 11 Bankruptcy
Applied Mathematics and Optimization (APMO), Volume 89, Issue 1Feb 2024https://doi.org/10.1007/s00245-023-10079-1AbstractMotivated by recent developments in risk management based on the U.S. bankruptcy code, we revisit the De Finetti’s optimal dividend problem by incorporating the reorganization process and regulator’s intervention documented in Chapter 11 ...
- research-articleDecember 2023
Millimeter-Level Pick and Peg-in-Hole Task Achieved by Aerial Manipulator
IEEE Transactions on Robotics (TOR), Volume 402024, Pages 1242–1260https://doi.org/10.1109/TRO.2023.3338956Achieving accurate control performance of the end-effector is critical for practical applications of aerial manipulator. However, due to the presence of floating-base disturbance from the unmanned aerial vehicle (UAV) platform and the kinematic error ...
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- research-articleFebruary 2024
Serious Game for Wellness: A Gamified Toolkit for Enhancing Physical Activity and Well-Being in Workplace
CHCHI '23: Proceedings of the Eleventh International Symposium of Chinese CHINovember 2023, Pages 549–555https://doi.org/10.1145/3629606.3629668This paper introduces a creative approach aimed at empowering desk-bound occupational groups to address the issue of physical inactivity at workplaces. The approach involves a gamified toolkit called Workplace Vitality Mapping (WVM) (see Figure 1) ...
- research-articleNovember 2023
Marshall–Olkin power-law distributions in length-frequency of entities
Knowledge-Based Systems (KNBS), Volume 279, Issue CNov 2023https://doi.org/10.1016/j.knosys.2023.110942AbstractEntities involve important concepts with concrete meanings and play important roles in numerous linguistic tasks. Entities have different forms in different linguistic tasks and researchers treat those different forms as different concepts. In ...
- research-articleNovember 2023
Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA
- Zhijie Yang,
- Lei Wang,
- Wei Shi,
- Yao Wang,
- Junbo Tie,
- Feng Wang,
- Xiang Yu,
- Linghui Peng,
- Chao Xiao,
- Xun Xiao,
- Yao Yao,
- Gan Zhou,
- Xuhu Yu,
- Rui Gong,
- Xia Zhao,
- Yuhua Tang,
- Weixia Xu
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 34, Issue 11Nov. 2023, Pages 2910–2927https://doi.org/10.1109/TPDS.2023.3307408In recent years, neuromorphic processors are widely used in many scenarios, showing extreme energy efficiency over traditional architectures. However, almost all existing neuromorphic hardware are following the heterogeneous computing methodology without ...
- research-articleOctober 2023
EVOLVER: Online Learning and Prediction of Disturbances for Robot Control
IEEE Transactions on Robotics (TOR), Volume 402024, Pages 382–402https://doi.org/10.1109/TRO.2023.3326318In nature, when encountering unexpected uncertainty, animals tend to react quickly to ensure safety as the top priority, and gradually adapt to it based on recent valuable experience. We present a framework, namely EVOLutionary <italic>model-based</italic>...
- research-articleOctober 2023
HOFD: An Outdated Fact Detector for Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 10Oct. 2023, Pages 10775–10789https://doi.org/10.1109/TKDE.2023.3248223Knowledge bases (KBs), which store high-quality information, are crucial for many applications, such as enhancing search results and serving as external sources for data cleaning. Not surprisingly, there exist outdated facts in most KBs due to the rapid ...
- ArticleSeptember 2023
Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network
Artificial Neural Networks and Machine Learning – ICANN 2023Sep 2023, Pages 357–372https://doi.org/10.1007/978-3-031-44210-0_29AbstractNantong blue calico, a Chinese folk hand-made printing and dyeing craft, has become one of intangible cultural heritages (ICHs) in China. To inherite and promote the ICH of Nantong blue calico, this study applies the image captioning technology to ...
- ArticleOctober 2023
A Real-Time AGV Gesture Control Method Based on Body Part Detection
Intelligent Robotics and ApplicationsJul 2023, Pages 188–199https://doi.org/10.1007/978-981-99-6498-7_17AbstractThe intelligent control of Automated Guided Vehicles (AGV) has essential research significance and application in logistics loading, unmanned driving, and emergency rescue. As an idealized human-computer interaction method, gesture has tremendous ...
- research-articleJune 2023
A joint denoising and deep learning detector for OFDM‐IM
AbstractOnly a subset of subcarriers are activated in orthogonal frequency division multiplexing‐index modulation (OFDM‐IM), which achieves higher energy efficiency and resists frequency offset. In the OFDM‐IM, the energy of the received signal is ...
First, the pre‐processed data were denoised before the signal detection. Second, considering the diversity of signal samples after preprocessing, this study enhanced the generalization ability of the model by strengthening silent subcarriers. Finally, the ...
- research-articleMay 2023
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 1Article No.: 10, Pages 1–21https://doi.org/10.1145/3588690Data stream processing is critical in streaming databases. Existing works pay a lot of attention to frequent items. To improve the accuracy for frequent items, existing solutions focus on accurately filtering infrequent items. While these solutions are ...
- Work in ProgressApril 2023
ACTIVE4: A Conceptual Framework for Gathering Empathetic Insights toward Office Workers’ Vitality Ecosystem Design
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 24, Pages 1–7https://doi.org/10.1145/3544549.3585844Sedentary behavior (SB) is prevalent in workplaces, putting office workers at an increased risk of severe health problems. To help designers and researchers gain a better understanding of office workers’ contextual concerns for physical inactivity (...
- research-articleFebruary 2023
A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm
Knowledge-Based Systems (KNBS), Volume 262, Issue CFeb 2023https://doi.org/10.1016/j.knosys.2022.110250AbstractGene selection is crucial to tumor identification based on microarray expression data. The identification of genes with strong discriminative power has been a hot research topic and a great challenge in research related to machine learning-based ...
- research-articleJanuary 2023
Multiple-level thresholding for breast mass detection
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 1Jan 2023, Pages 115–130https://doi.org/10.1016/j.jksuci.2022.11.006AbstractDetection of breast mass plays a very important role in making the diagnosis of breast cancer. For faster detection of breast cancer caused by breast mass, we developed a novel and efficient patch-based breast mass detection system for ...
- research-articleNovember 2022
Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification
Pattern Analysis & Applications (PAAS), Volume 26, Issue 2May 2023, Pages 455–472https://doi.org/10.1007/s10044-022-01117-9AbstractA typical microarray dataset usually contains thousands of genes, but only a small number of samples. It is in fact that most genes in a DNA microarray dataset are not relevant for classification. Identifying highly discriminating genes, known as ...
- ArticleOctober 2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
- Zaid Tasneem,
- Giovanni Milione,
- Yi-Hsuan Tsai,
- Xiang Yu,
- Ashok Veeraraghavan,
- Manmohan Chandraker,
- Francesco Pittaluga
AbstractWith over a billion sold each year, cameras are not only becoming ubiquitous, but are driving progress in a wide range of domains such as mixed reality, robotics, and more. However, severe concerns regarding the privacy implications of camera-...
- ArticleOctober 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining
AbstractSelf-supervised vision-language pretraining from pure images and text with a contrastive loss is effective, but ignores fine-grained alignment due to a dual-stream architecture that aligns image and text representations only on a global level. ...