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- research-articleSeptember 2024
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 503–515https://doi.org/10.1145/3650212.3652145Binary code representation learning has shown significant performance in binary analysis tasks. But existing solutions often have poor transferability, particularly in few-shot and zero-shot scenarios where few or no training samples are available for ...
- research-articleSeptember 2024
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 149–161https://doi.org/10.1145/3650212.3652117Binary code similarity detection (BCSD) is a fundamental technique for various applications. Many BCSD solutions have been proposed recently, which mostly are embedding-based, but have shown limited accuracy and efficiency especially when the volume of ...
- research-articleMay 2024
TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion
- Ruyi Li,
- Yaxin Zhu,
- Min Liu,
- Yihang Zeng,
- Shanning Zhuang,
- Jiayi Fu,
- Yi Lu,
- Guyue Zhou,
- Can Liu,
- Jiangtao Gong
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 8, Issue 2Article No.: 70, Pages 1–33https://doi.org/10.1145/3659622Telepresence robots can be used to support users to navigate an environment remotely and share the visiting experience with their social partners. Although such systems allow users to see and hear the remote environment and communicate with their ...
- research-articleJune 2024
VeriPrune: Equivalence verification of node pruned neural network
AbstractNeural network compression is a widely used technique when deploying the neural network in energy-constrained and computation-constrained devices. To guarantee the compressed neural network is still usable without too much accuracy loss, the ...
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- research-articleApril 2024
Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 7Pages 8093–8104https://doi.org/10.1109/TITS.2024.3379573There will be a time when automated vehicles coexist with human-driven ones. Understanding how drivers assess driving risks and modeling their differences is crucial for developing human-like and personalized behaviors in automated vehicles, gaining ...
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- research-articleFebruary 2024
Large‐scale seismic soil–structure interaction analysis via efficient finite element modeling and multi‐GPU parallel explicit algorithm
Computer-Aided Civil and Infrastructure Engineering (MICE), Volume 39, Issue 12Pages 1886–1908https://doi.org/10.1111/mice.13163AbstractAs urban population increases, integrated underground–aboveground complexes are being constructed at growing paces in major cities. The seismic analysis of such complexes is crucial for the safety and functionality in the threat of potential ...
- research-articleJanuary 2024
CPS Attack Detection under Limited Local Information in Cyber Security: An Ensemble Multi-Node Multi-Class Classification Approach
ACM Transactions on Sensor Networks (TOSN), Volume 20, Issue 2Article No.: 33, Pages 1–27https://doi.org/10.1145/3585520Cybersecurity breaches are common anomalies for distributed cyber-physical systems (CPS). However, the cyber security breach classification is still a difficult problem, even using cutting-edge artificial intelligence (AI) approaches. In this article, we ...
- research-articleOctober 2023
Adaptive joint placement of edge intelligence services in mobile edge computing
AbstractMobile edge computing is an energy-efficient paradigm which has great support for resource-limited user devices performing compute-intensive programs and applications. However, limited edge resources, mobility of user equipment, growth of service ...
- research-articleOctober 2023
A Task-Oriented Hybrid Routing Approach based on Deep Deterministic Policy Gradient
Computer Communications (COMS), Volume 210, Issue CPages 183–193https://doi.org/10.1016/j.comcom.2023.07.040AbstractWith the development of communication and transmission technologies, the applications of Internet of Things (IoT) and telemedicine are increasingly sensitive to network latency. To meet this urgent demand, learning-based routing approaches emerge,...
- research-articleSeptember 2023
A fine grid cellular automaton model for pedestrian evacuation considering the effect of an obstacle
A cellular automaton (CA) model with a finer discretization of space is proposed to simulate a non-emergency evacuation process in a room with an obstacle. During the evacuation process, a triangle “evading region” phenomenon has been observed through ...
- research-articleAugust 2023
Action Recognition and Benchmark Using Event Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 45, Issue 12Pages 14081–14097https://doi.org/10.1109/TPAMI.2023.3300741Recent years have witnessed remarkable achievements in video-based action recognition. Apart from traditional frame-based cameras, event cameras are bio-inspired vision sensors that only record pixel-wise brightness changes rather than the brightness ...
- research-articleMay 2023
Error identification and compensation regarding the kinematic parameter of the MD-PEF for tibial deformity correction
Computers in Biology and Medicine (CBIM), Volume 158, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106813AbstractThe correction accuracy of an external fixator is crucial to the treatment outcome of deformity correction and patient safety. In this study, the mapping model is established between the pose error and kinematic parameter error of the motor-...
Highlights- Mapping model between the pose error and parameter error of the MD-PEF is established.
- Error identification algorithm is constructed based on the least squares method.
- Calibration experiments are carried out based on the developed ...
- research-articleApril 2023
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display
- Jiangtao Gong,
- Jingjing Sun,
- Mengdi Chu,
- Xiaoye Wang,
- Minghao Luo,
- Yi Lu,
- Liuxin Zhang,
- Yaqiang Wu,
- Qianying Wang,
- Can Liu
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW1Article No.: 147, Pages 1–29https://doi.org/10.1145/3579623Traditional wall-sized displays mostly only support side-by-side co-located collaboration, while transparent displays naturally support face-to-face interaction. Many previous works assume transparent displays support collaboration. Yet it is unknown how ...
- research-articleAugust 2023
Financial Time Series Trading using DDPG Considering Multi-scale Features
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial IntelligencePages 624–630https://doi.org/10.1145/3594315.3594382In recent years, the application of deep reinforcement learning in the field of finance has received a lot of attention from researchers. Due to the non-stationary characteristic and noisy environment in the financial market, single-scale features are ...
- research-articleSeptember 2023
Generative and contrastive based self-supervised learning model for histopathology image analysis
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and ComputingPages 354–360https://doi.org/10.1145/3587716.3587774In recent years, the deep neural network has achieved astonishing results in the automatic Whole slide images(WSI) processing. The current mainstream approach is inseparable from a large number of manual annotations. However, labeling such giant images ...
- research-articleJuly 2022
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 201–211https://doi.org/10.1145/3477495.3531957Maintaining a consistent persona is essential for building a human-like conversational model. However, the lack of attention to the partner makes the model more egocentric: they tend to show their persona by all means such as twisting the topic stiffly, ...
- research-articleJune 2022
A third order shear deformable model and its applications for nonlinear dynamic response of graphene oxides reinforced curved beams resting on visco-elastic foundation and subjected to moving loads
Engineering with Computers (ENGC), Volume 38, Issue 3Pages 2805–2819https://doi.org/10.1007/s00366-020-01238-xAbstractIn present work, a nonlinear functionally graded curved beam model including the von Kármán geometric nonlinearity is developed on the basis of the third-order shear deformation theory. Due to incorporating the trapezoidal shape factor in the ...
- research-articleMay 2022
TeethPass: Dental Occlusion-based User Authentication via In-ear Acoustic Sensing
IEEE INFOCOM 2022 - IEEE Conference on Computer CommunicationsPages 1789–1798https://doi.org/10.1109/INFOCOM48880.2022.9796951With the rapid development of mobile devices and the fast increase of sensitive data, secure and convenient mobile authentication technologies are desired. Except for traditional passwords, many mobile devices have biometric-based authentication methods (...
- research-articleJanuary 2022
FCNet: A feature context network based on ensemble framework for image retrieval
AbstractIn order to train an end‐to‐end model for better performance in distinguishing superclasses and make the model more sensitive to inter‐class differences, the authors propose a Feature Context Network (FCNet), a novel ensemble framework for image ...
- research-articleJanuary 2022
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review
Artificial Intelligence Review (ARTR), Volume 55, Issue 1Pages 565–587https://doi.org/10.1007/s10462-021-10038-8AbstractThis paper aims to present a comprehensive survey on water quality soft-sensing of a wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We mainly present problem formulation of water quality soft-sensing, common soft-...