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- research-articleJune 2024
Subspace Clustering with A Hybrid Adaptive Graph Filter
ICMR '24: Proceedings of the 2024 International Conference on Multimedia RetrievalMay 2024, Pages 1070–1078https://doi.org/10.1145/3652583.3658042Subspace clustering is a powerful tool for grouping data samples into their underlying subspaces. In this paper, we propose an advanced subspace clustering algorithm called SCHAGF (Subspace Clustering with A Hybrid Adaptive Graph Filter). SCHAGF ...
- research-articleJune 2024
Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
ICMR '24: Proceedings of the 2024 International Conference on Multimedia RetrievalMay 2024, Pages 776–784https://doi.org/10.1145/3652583.3658009Multiview subspace clustering (MVSC) has attracted an increasing amount of attention in recent years. Most existing MVSC methods first collect complementary information from different views and consequently derive a consensus reconstruction coefficient ...
- review-articleMay 2024
From data to insights: the application and challenges of knowledge graphs in intelligent audit
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 13, Issue 1Jun 2024https://doi.org/10.1186/s13677-024-00674-0AbstractIn recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditing methods, there are inefficiencies in ...
- research-articleMay 2024
Approximate allocation matching for structural causal bandits with unobserved confounders
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 3012, Pages 68810–68832Structural causal bandit provides a framework for decision-making problems when causal information is available. It models the stochastic environment with a structural causal model (SCM) that governs the causal relations between random variables. In each ...
- research-articleMarch 2024
Vehicle and Pedestrian Target Detection Based on YOLOv7x Network
ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical EngineeringNovember 2023, Pages 621–629https://doi.org/10.1145/3640115.3640216With the rapid development of artificial intelligence technology, intelligent driving technology has attracted wide attention and research in the automobile industry. As one of the key technologies of intelligent driving, object detection aims to ...
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- research-articleOctober 2023
Pagoda: Privacy Protection for Volumetric Video Streaming through Poisson Diffusion Model
MM '23: Proceedings of the 31st ACM International Conference on MultimediaOctober 2023, Pages 1689–1697https://doi.org/10.1145/3581783.3611946With the increasing popularity of 3D volumetric video applications, e.g., metaverse, AR/VR, etc., there is a growing need to protect users' privacy while sharing their experiences during streaming. In this paper, we show that the existing privacy-...
- research-articleOctober 2023
When Gestures and Words Synchronize: Exploring A Human Lecturer's Multimodal Interaction for the Design of Embodied Pedagogical Agents
CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social ComputingOctober 2023, Pages 39–44https://doi.org/10.1145/3584931.3607010Embodied Pedagogical Agents (EPAs) possess significant potential for using multimodal interactions to effectively convey social and educational information. While previous studies have examined the impact of EPAs on learning performance, the ...
- research-articleAugust 2023
Learning Idempotent Representation for Subspace Clustering
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 3March 2024, Pages 1183–1197https://doi.org/10.1109/TKDE.2023.3303343The critical point for the success of spectral-type subspace clustering algorithms is to seek reconstruction coefficient matrices that can faithfully reveal the subspace structures of data sets. An ideal reconstruction coefficient matrix should have two ...
- research-articleJuly 2023
Approximate causal effect identification under weak confounding
ICML'23: Proceedings of the 40th International Conference on Machine LearningJuly 2023, Article No.: 617, Pages 15125–15143Causal effect estimation has been studied by many researchers when only observational data is available. Sound and complete algorithms have been developed for pointwise estimation of identifiable causal queries. For non-identifiable causal queries, ...
- ArticleOctober 2023
Usability Evaluation of FURS Robot Control Panel Interface Design Based on SUS
Intelligent Robotics and ApplicationsJul 2023, Pages 303–312https://doi.org/10.1007/978-981-99-6495-6_26AbstractThe objective of this study is to compare the interfaces of two FURS (Flexible Ureterorenoscopy) robotic operation consoles across generations. Analyzing functional requirements during surgery, the first-generation interface was designed. ...
- research-articleJune 2023
What Causes Privatization? Evidence from Import Competition in China
Management Science (MANS), Volume 70, Issue 5May 2024, Pages 3080–3101https://doi.org/10.1287/mnsc.2023.4847In this paper, we identify product market competition as a driver of privatization. Using product market shocks caused by trade liberalization of China, which has the world’s largest state sector, we find that subjecting state-owned enterprises (SOEs) to ...
- research-articleApril 2023
An online collision-free trajectory generation algorithm for human–robot collaboration
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 80, Issue CApr 2023https://doi.org/10.1016/j.rcim.2022.102475AbstractThe premise of human–robot collaboration is that robots have adaptive trajectory planning strategies in hybrid work cell. The aim of this paper is to propose a new online collision avoidance trajectory planning algorithm for moderate ...
Highlights- An online trajectory planning algorithm for dynamic obstacles avoidance is proposed.
- research-articleFebruary 2023
A simple multiple-fold correlation-based multi-view multi-label learning
Neural Computing and Applications (NCAA), Volume 35, Issue 14May 2023, Pages 10407–10420https://doi.org/10.1007/s00521-023-08241-5AbstractCorrelations among different features and labels are ubiquitous in the present multi-view multi-label data sets and they are always described with within-view, cross-view, and consensus-view representations. While how to discover and measure these ...
- research-articleJanuary 2023
Effect of different attack strategies on controllability robustness of directed complex networks
International Journal of Communication Networks and Distributed Systems (IJCNDS), Volume 29, Issue 52023, Pages 513–531https://doi.org/10.1504/ijcnds.2023.133163This article summarises the controllability robustness of various directed complex networks under different attack strategies. Based on the theory of node-degree, edge-degree, node-betweenness and edge-betweenness, the controllability robustness ...
- ArticleNovember 2022
Who Shapes the Network of a Pedagogical Space? Clues from the Movements in the Physical Places
Advances in Mobile Computing and Multimedia IntelligenceNov 2022, Pages 143–153https://doi.org/10.1007/978-3-031-20436-4_14AbstractResearchers who study pedagogical space mostly look at physical space, such as the density of space usage and education-related material designs. The interaction of objects and the resulting network in the physical space, referred to as a ...
- research-articleNovember 2022
Information Accessibility and Corporate Innovation
Management Science (MANS), Volume 68, Issue 11November 2022, Pages 7837–7860https://doi.org/10.1287/mnsc.2021.4224This study identifies information accessibility as a determinant of corporate innovation. Using the sudden termination of Google’s search services in China, we find a persistently large negative effect on the intensity and quality of innovation among ...
- research-articleSeptember 2022
Latent block diagonal representation for subspace clustering
Pattern Analysis & Applications (PAAS), Volume 26, Issue 1Feb 2023, Pages 333–342https://doi.org/10.1007/s10044-022-01101-3AbstractSpectral-type subspace clustering algorithms have attracted wide attention because of their excellent performance displayed in a great deal of applications in machine learning domain. It is critical for spectral-type subspace clustering algorithms ...
- research-articleAugust 2022
Efficient hardware design of a deep U-net model for pixel-level ECG classification in healthcare device
Microelectronics Journal (MICROJ), Volume 126, Issue CAug 2022https://doi.org/10.1016/j.mejo.2022.105492AbstractNowadays, deep learning algorithm has been widely used for automatic electrocardiogram (ECG) classification. However, most algorithms can only classify single heartbeat, which requires complex heartbeat extraction preprocessing. In ...
- research-articleMarch 2022
Subspace clustering via adaptive least square regression with smooth affinities
Knowledge-Based Systems (KNBS), Volume 239, Issue CMar 2022https://doi.org/10.1016/j.knosys.2021.107950AbstractIt has been proved that subspace clustering algorithms with weighted norm regularizers usually outperform their special cases with non-weighted regularizers. However, it is difficult to design suitable weighted regularizers for ...
- research-articleMarch 2022
Sponsored Data: Smarter Data Pricing with Incomplete Information
Information Systems Research (INFORMS-ISR), Volume 33, Issue 1March 2022, Pages 362–382https://doi.org/10.1287/isre.2021.1063With the development of data-intensive internet services, the world has witnessed explosive growth in mobile data consumption during the last couple of years. The upcoming generation of 5G-capable phones and networks will continue and even accelerate that ...
With the upcoming next-generation 5G networks, mobile network operators (MNOs, such as AT&T, T-Mobile, and Verizon) are investigating new business models that encourage content providers (such as Netflix and Spotify) to sponsor data for consumers. ...