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- research-articleSeptember 2024
Efficient Subgraph Matching Framework for Fast Subcircuit Identification
MLCAD '24: Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CADSeptember 2024, Article No.: 20, Pages 1–7https://doi.org/10.1145/3670474.3685958Subcircuit identification finds wide applications in logic synthesis, physical design, and design verification. With the continuous increase in the scale of integrated circuits, the exploration of efficient identification algorithms has become a key ...
- research-articleSeptember 2024JUST ACCEPTED
GazeFusion: Saliency-guided Image Generation
Diffusion models offer unprecedented image generation power given just a text prompt. While emerging approaches for controlling diffusion models have enabled users to specify the desired spatial layouts of the generated content, they cannot predict or ...
- research-articleAugust 2024
MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2024, Pages 5509–5520https://doi.org/10.1145/3637528.3671568Traditional server failure prediction methods predominantly rely on single-modality data such as system logs or system status curves. This reliance may lead to an incomplete understanding of system health and impending issues, proving inadequate for the ...
- research-articleAugust 2024
Wages: The Worst Transistor Aging Analysis for Large-scale Analog Integrated Circuits via Domain Generalization
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 5Article No.: 73, Pages 1–23https://doi.org/10.1145/3659950Transistor aging leads to the deterioration of analog circuit performance over time. The worst aging degradation is used to evaluate the circuit reliability. It is extremely expensive to obtain it since several circuit stimuli need to be simulated. The ...
- research-articleJuly 2024
A deep learning and large group consensus based cruise satisfaction evaluation model with online reviews
Information Sciences: an International Journal (ISCI), Volume 676, Issue CAug 2024https://doi.org/10.1016/j.ins.2024.120801AbstractCruise satisfaction assessment is pivotal for both passenger experiences and the enterprise's industry competitiveness. To do that, this research proposes a deep learning based cruise satisfaction evaluation model by integrating cruise online ...
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- research-articleJuly 2024
PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR Displays
ACM Transactions on Graphics (TOG), Volume 43, Issue 4Article No.: 67, Pages 1–17https://doi.org/10.1145/3658126Display power consumption is an emerging concern for untethered devices. This goes double for augmented and virtual extended reality (XR) displays, which target high refresh rates and high resolutions while conforming to an ergonomically light form ...
- research-articleJuly 2024
Accelerating Saccadic Response through Spatial and Temporal Cross-Modal Misalignments
SIGGRAPH '24: ACM SIGGRAPH 2024 Conference PapersJuly 2024, Article No.: 129, Pages 1–12https://doi.org/10.1145/3641519.3657432Human senses and perception are our mechanisms to explore the external world. In this context, visual saccades –rapid and coordinated eye movements– serve as a primary tool for awareness of our surroundings. Typically, our perception is not limited to ...
- research-articleMay 2024
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction
WWW '24: Proceedings of the ACM Web Conference 2024May 2024, Pages 4407–4416https://doi.org/10.1145/3589334.3645678Document-level Relation Triplet Extraction (DocRTE) is a fundamental task in information systems that aims to simultaneously extract entities with semantic relations from a document. Existing methods heavily rely on a substantial amount of fully labeled ...
- research-articleJuly 2024
Paired relation feature network for spatial relation recognition
Pattern Recognition Letters (PTRL), Volume 181, Issue CMay 2024, Pages 126–132https://doi.org/10.1016/j.patrec.2024.03.019AbstractRecognizing relations between objects in an image is challenging for neural networks because some relations may not have obvious dedicated visual features. This paper proposes a Paired Relation Feature Network (PRFN), where all spatial and ...
Highlights- Features are extracted from the subject–object pair. No hand-crafted feature is used.
- 2D features are extracted from a pair of bounding boxes in a data-driven approach.
- Depth feature extraction is simplified to the recognition of a ...
- research-articleApril 2024
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality
ASPLOS '24: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1April 2024, Pages 166–180https://doi.org/10.1145/3617232.3624860Virtual Reality (VR) has the potential of becoming the next ubiquitous computing platform. Continued progress in the burgeoning field of VR depends critically on an efficient computing substrate. In particular, DRAM access energy is known to contribute ...
- research-articleApril 2024
Adaptive Filtering Based on Minimum Error Entropy Conjugate Gradient
Circuits, Systems, and Signal Processing (CSSP), Volume 43, Issue 7Jul 2024, Pages 4662–4674https://doi.org/10.1007/s00034-024-02654-wAbstractBased on the criterion of minimum error entropy, this paper proposes a novel conjugate gradient algorithm, called MEE-CG. This algorithm has robust performance under non-Gaussian interference. Theoretical analysis and experimental results ...
- research-articleJuly 2024
Multi-residual 2D network integrating spatial correlation for whole heart segmentation
Computers in Biology and Medicine (CBIM), Volume 172, Issue CApr 2024https://doi.org/10.1016/j.compbiomed.2024.108261AbstractWhole heart segmentation (WHS) has significant clinical value for cardiac anatomy, modeling, and analysis of cardiac function. This study aims to address the WHS accuracy on cardiac CT images, as well as the fast inference speed and low graphics ...
Highlights- Introducing MultiResNet-SC: A 2D network for 3D whole heart segmentation.
- Innovative skip connections: Spatially correlation features extraction for the decoder.
- Lightweight MultiRes-SE: Pixel-level predictions through multi-scale ...
- research-articleMay 2024
Track Defect Detection Based on Improved Rtmdet
CACML '24: Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine LearningMarch 2024, Pages 372–375https://doi.org/10.1145/3654823.3654890The railway track, as a fundamental infrastructure for rail transport, directly impacts the safety of train operations. Track defects such as cracks and bolt loosening, if not detected and repaired in time, can lead to severe safety accidents. In recent ...
- research-articleMarch 2024
Modeling the Impact of Head-Body Rotations on Audio-Visual Spatial Perception for Virtual Reality Applications
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 30, Issue 5May 2024, Pages 2624–2632https://doi.org/10.1109/TVCG.2024.3372112Humans perceive the world by integrating multimodal sensory feedback, including visual and auditory stimuli, which holds true in virtual reality (VR) environments. Proper synchronization of these stimuli is crucial for perceiving a coherent and immersive ...
- research-articleJanuary 2024
Communication and Computing Integrated RAN: A New Paradigm Shift for Mobile Network
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 2March 2024, Pages 97–112https://doi.org/10.1109/MNET.2024.3355401The Radio Access Network (RAN) consists of numerous base stations that serve as access points for the end users to communicate with application services. Along with the increasingly powerful computing capability in base stations, and the stringent ...
- research-articleDecember 2023
BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 1Article No.: 20, Pages 1–23https://doi.org/10.1145/3630013Microarchitecture parameters tuning is critical in the microprocessor design cycle. It is a non-trivial design space exploration (DSE) problem due to the large solution space, cycle-accurate simulators’ modeling inaccuracy, and high simulation runtime for ...
- research-articleDecember 2023
The Shortest Route is Not Always the Fastest: Probability-Modeled Stereoscopic Eye Movement Completion Time in VR
ACM Transactions on Graphics (TOG), Volume 42, Issue 6Article No.: 220, Pages 1–14https://doi.org/10.1145/3618334Speed and consistency of target-shifting play a crucial role in human ability to perform complex tasks. Shifting our gaze between objects of interest quickly and consistently requires changes both in depth and direction. Gaze changes in depth are driven ...
- research-articleNovember 2023
Validation of Current O-RAN Technologies and Insights on the Future Evolution
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 2Feb. 2024, Pages 487–505https://doi.org/10.1109/JSAC.2023.3336180Entering the 5G era, the mobile network operators (MNO) are facing greater challenges in providing services cost effectively than any other previous generations. The potential solutions to this are lying on the emerging trend of deep convergence of ...
- research-articleNovember 2023
: Visualization of AI-Assisted Task Guidance in AR<italic/>
- Sonia Castelo,
- Joao Rulff,
- Erin McGowan,
- Bea Steers,
- Guande Wu,
- Shaoyu Chen,
- Iran Roman,
- Roque Lopez,
- Ethan Brewer,
- Chen Zhao,
- Jing Qian,
- Kyunghyun Cho,
- He He,
- Qi Sun,
- Huy Vo,
- Juan Bello,
- Michael Krone,
- Claudio Silva
IEEE Transactions on Visualization and Computer Graphics (ITVC), Volume 30, Issue 1Jan. 2024, Pages 1313–1323https://doi.org/10.1109/TVCG.2023.3327396The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously ...
- research-articleNovember 2023
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm
- Minghao Yang,
- Hongchang Lyu,
- Yongjia Zhao,
- Yangchang Sun,
- Hang Pan,
- Qi Sun,
- Jinlong Chen,
- Baohua Qiang,
- Hongbo Yang
Computers and Electronics in Agriculture (COEA), Volume 214, Issue CNov 2023https://doi.org/10.1016/j.compag.2023.108274Highlights- DETR outperforms YOLACT++ and YOLOv5 on forsythia flower detection.
- Orientations and angles in loss improve the pistil identification performance.
- Pseudo-binocular ranging is effective to guide pollen brush to pistil’s position.
Autonomous pollination robots have received significant attention in recent years. It is expected that these robots will assist farmers in pollinating plants effectively. Despite employing various pollination methods, delivering pollen ...