Rui Tan
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View article: ChatDC: Geometric-aware Data Center Digital Twin Generation via Large Language Models
ChatDC: Geometric-aware Data Center Digital Twin Generation via Large Language Models Open
A modern data center is supported by an Internet of Assets (IoA), a specialized Internet of Things (IoT), where the sim-ready assets encompass physical properties and connected data streams for passive data collection and proactive simulat…
View article: The Hidden Drivers of Youth Unemployment
The Hidden Drivers of Youth Unemployment Open
Youth unemployment remains a pressing socioeconomic issue in many developing countries, driven by complex and interrelated factors. This study explores the hidden drivers of youth unemployment, focusing on four key variables: lack of prope…
View article: Certified Robustness against Sensor Heterogeneity in Acoustic Sensing
Certified Robustness against Sensor Heterogeneity in Acoustic Sensing Open
Domain shifts due to microphone hardware heterogeneity pose challenges to machine learning-based acoustic sensing. Existing methods enhance empirical performance but lack theoretical understanding. This paper proposes Certified Adaptive Ph…
View article: TimelyNet: Adaptive Neural Architecture for Autonomous Driving with Dynamic Deadline
TimelyNet: Adaptive Neural Architecture for Autonomous Driving with Dynamic Deadline Open
To maintain driving safety, the execution of neural network-based autonomous driving pipelines must meet the dynamic deadlines in response to the changing environment and vehicle’s velocity. To this end, this article proposes a real-time n…
View article: Dynamic Layer Routing Defense for Real-Time Embedded Vision
Dynamic Layer Routing Defense for Real-Time Embedded Vision Open
Deep neural networks have advanced the perception and decision-making functions of smart embedded systems, such as car-borne driver assistance. Deploying these embedded neural networks often faces two challenges: (i) security vulnerabiliti…
View article: RoboCam: Model-Based Robotic Visual Sensing for Precise Inspection of Mesh Screens
RoboCam: Model-Based Robotic Visual Sensing for Precise Inspection of Mesh Screens Open
The 3D-printed mesh screen with dense penetrating pores is a new structure for massive manufacturing of molded pulp package products. However, some of the pores may be clogged by the printing material powder during the printing process. Su…
View article: ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing
ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing Open
Existing wearable sensing models often struggle with domain shifts and class label scarcity. Contrastive learning is a promising technique to address class label scarcity, which however captures domain-related features and suffers from low…
View article: Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles Open
Camera-based computer vision is essential to autonomous vehicle’s perception. This paper presents an attack that uses light-emitting diodes and exploits the camera’s rolling shutter effect to create adversarial stripes in the captured imag…
View article: Real-time straw moisture content detection system for mobile straw granulator
Real-time straw moisture content detection system for mobile straw granulator Open
In order to improve the molding rate of biomass particles extruded by ring mold of the mobile straw granulator, a real-time straw moisture content detection system based on frequency was designed in this paper. The detection system compris…
View article: Quality assessment and Q‐markers discovery in Citri Sarcodactylis Fructus by integrating serum pharmacochemistry and network pharmacology
Quality assessment and Q‐markers discovery in Citri Sarcodactylis Fructus by integrating serum pharmacochemistry and network pharmacology Open
Introduction Citri Sarcodactylis Fructus (CSF), a common fruit and traditional Chinese medicine (TCM), has been hindered in its further development and research owing to the lack of comprehensive and specific quality evaluation standards. …
View article: A Collaborative Visual Sensing System for Precise Quality Inspection at Manufacturing Lines
A Collaborative Visual Sensing System for Precise Quality Inspection at Manufacturing Lines Open
Visual sensing has been widely adopted for quality inspection in production processes. This article presents the design and implementation of a smart collaborative camera system, called BubCam , for automated quality inspection of manufact…
View article: Orientation-Aware 3D SLAM in Alternating Magnetic Field from Powerlines
Orientation-Aware 3D SLAM in Alternating Magnetic Field from Powerlines Open
Identifying new sensing modalities for indoor localization is an interest of research. This paper studies powerline-induced alternating magnetic field (AMF) that fills the indoor space for the orientation-aware three-dimensional (3D) simul…
View article: Landscape Pattern of Sloping Garden Erosion Based on CSLE and Multi-Source Satellite Imagery in Tropical Xishuangbanna, Southwest China
Landscape Pattern of Sloping Garden Erosion Based on CSLE and Multi-Source Satellite Imagery in Tropical Xishuangbanna, Southwest China Open
Inappropriate soil management accelerates soil erosion and thus poses a serious threat to food security and biodiversity. Due to poor data availability and fragmented terrain, the landscape pattern of garden erosion in tropical Xishuangban…
View article: ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models
ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models Open
Digital twin has been applied in various industrial fields to represent physical systems. However, the design of high-fidelity digital scenes is challenging in that it often requires intensive manual processes and domain expertise to edit …
View article: Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving Open
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer from adverse conditions on …
View article: Design, Deployment, and Evaluation of an Industrial AIoT System for Quality Control at HP Factories
Design, Deployment, and Evaluation of an Industrial AIoT System for Quality Control at HP Factories Open
Enabled by the increasingly available embedded hardware accelerators, the capability of executing advanced machine learning models at the edge of the Internet of Things (IoT) triggers interest of applying Artificial Intelligence of Things …
View article: Preparation of VZrHfNbTa High-Entropy Alloy-Based High-Temperature Oxidation-Resistant Coating and Its Bonding Mechanism
Preparation of VZrHfNbTa High-Entropy Alloy-Based High-Temperature Oxidation-Resistant Coating and Its Bonding Mechanism Open
Ultra-high Temperature Oxidation-Resistant Alloys (UTORAs) have received a lot of attention due to the increased research demand for deep space exploration around the world. However, UTORAs have the disadvantages of easy oxidation and chal…
View article: Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving Open
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer from adverse conditions on …
View article: Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control Open
Deep reinforcement learning (DRL) has shown good performance in data center cooling control for improving energy efficiency. The main challenge in deploying the DRL agent to real-world data centers is how to quickly adapt the agent to the …
View article: Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction
Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction Open
Computational fluid dynamics (CFD) models have been widely used for prototyping data centers. Evolving them into high-fidelity and real-time digital twins is desirable for the online operations of data centers. However, CFD models often ha…
View article: Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks
Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks Open
Intelligent vehicles with increasing complexity face cybersecurity threats. This paper studies action-space attacks on autonomous driving agents that make decisions using either a traditional modular processing pipeline or the recently pro…
View article: A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features
A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features Open
Study region: Tai Lake, the third largest freshwater lake in China, with a history of serious ecological pollution incidents. Study focus: Lake water quality prediction techniques are essential to ensure an early emergency response capabil…
View article: Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning
Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning Open
Driver Behavior Modeling (DBM) aims to predict and model human driving behaviors, which is typically incorporated into the Advanced Driver Assistance System to enhance transportation safety and improve driving experience. Inverse reinforce…