Yang Yang
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View article: Intelligent Fault Diagnosis Based on Dual-Graph Transformation and P2D-Sk-ResNet-XGBoost
Intelligent Fault Diagnosis Based on Dual-Graph Transformation and P2D-Sk-ResNet-XGBoost Open
To address the limitations of one-dimensional vibration signals in convolutional neural networks and the insufficient feature extraction capability of traditional single data processing methods under complex operating conditions, this pape…
View article: S$^2$NN: Sub-bit Spiking Neural Networks
S$^2$NN: Sub-bit Spiking Neural Networks Open
Spiking Neural Networks (SNNs) offer an energy-efficient paradigm for machine intelligence, but their continued scaling poses challenges for resource-limited deployment. Despite recent advances in binary SNNs, the storage and computational…
View article: An Adaptive DCO-OFDM Scheme With Joint LED Selection and Waveform Design for Integrated Visible Light Positioning and Communication
An Adaptive DCO-OFDM Scheme With Joint LED Selection and Waveform Design for Integrated Visible Light Positioning and Communication Open
Integrated visible light positioning and communication (VLPC) has been proposed to achieve both a high communication rate and accurate positioning. However, to integrate the visible light positioning (VLP) function, existing VLPC works typ…
View article: Task-Based Quantizer for CSI Feedback in Multi-User MISO VLC/RF Systems
Task-Based Quantizer for CSI Feedback in Multi-User MISO VLC/RF Systems Open
The performance of multiple-input single-output (MISO) transmission is highly dependent on the accuracy of the channel state information (CSI) at the base station (BS), which necessitates precise CSI estimation and reliable feedback from t…
View article: SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors
SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors Open
The SEAR Dataset is a novel multimodal resource designed to study the emerging threat of social engineering (SE) attacks orchestrated through augmented reality (AR) and multimodal large language models (LLMs). This dataset captures 180 ann…
View article: Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance
Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance Open
While Vision-Language-Action (VLA) models show strong generalizability in various tasks, real-world deployment of robotic policy still requires large-scale, high-quality human expert demonstrations. However, passive data collection via hum…
View article: Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations Open
Modeling and reconstructing multidimensional physical dynamics from sparse and off-grid observations presents a fundamental challenge in scientific research. Recently, diffusion-based generative modeling shows promising potential for physi…
View article: Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing Open
Event cameras encode visual information by generating asynchronous and sparse event streams, which hold great potential for low latency and low power consumption. Despite many successful implementations of event camera-based applications, …
View article: Empowering Mandarin Speaking Skills: High School Students’ Journey with Mobile-Flipped Learning
Empowering Mandarin Speaking Skills: High School Students’ Journey with Mobile-Flipped Learning Open
In the post-pandemic era, the framework of distance education and online teaching has blazed a new trail in the educational landscape. Simultaneously, in the current transformation of the educational paradigm, flipped learning has gained r…
View article: Path-Following Control Based on ALOS Guidance Law for USV
Path-Following Control Based on ALOS Guidance Law for USV Open
An adaptive line-of-sight (ALOS) guidance law with drift angle compensation is proposed to achieve the path following of unmanned surface vehicles (USVs) under the influence of ocean currents. The ALOS guidance law can calculate the desire…
View article: MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops
MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops Open
View article: Binary Event-Driven Spiking Transformer
Binary Event-Driven Spiking Transformer Open
Transformer-based Spiking Neural Networks (SNNs) introduce a novel event-driven self-attention paradigm that combines the high performance of Transformers with the energy efficiency of SNNs. However, the larger model size and increased com…
View article: Two-Hop Delay-Aware Energy Efficiency Resource Allocation in Space-Air-Ground Integrated Smart Grid Network
Two-Hop Delay-Aware Energy Efficiency Resource Allocation in Space-Air-Ground Integrated Smart Grid Network Open
View article: Positioning and Sensing Over Wireless Networks
Positioning and Sensing Over Wireless Networks Open
View article: A Computation Framework for Continuous Multi-Dimensional Generalized Skyline Queries
A Computation Framework for Continuous Multi-Dimensional Generalized Skyline Queries Open
View article: Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System
Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System Open
Package delivery is a critical aspect of various industries, but it often incurs high financial costs and inefficiencies when relying solely on human resources. The last-mile transport problem, in particular, contributes significantly to t…
View article: Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid Open
Detecting energy theft is vital for effectively managing power grids, as it ensures precise billing and prevents financial losses. Split-learning emerges as a promising decentralized machine learning technique for identifying energy theft …
View article: The Solution for Temporal Action Localisation Task of Perception Test Challenge 2024
The Solution for Temporal Action Localisation Task of Perception Test Challenge 2024 Open
This report presents our method for Temporal Action Localisation (TAL), which focuses on identifying and classifying actions within specific time intervals throughout a video sequence. We employ a data augmentation technique by expanding t…
View article: Geometric Amplitude Assisted Beamforming in Transverse-Twist Metasurfaces
Geometric Amplitude Assisted Beamforming in Transverse-Twist Metasurfaces Open
The geometric phase that introduces the phase discontinuities by the twist of individual meta-atoms has attracted intensive interest in designing multifunctional planar metasurfaces. Typically, the twist axis aligns parallel to the plane o…
View article: An energy and information analysis method of logic gates based on stochastic thermodynamics
An energy and information analysis method of logic gates based on stochastic thermodynamics Open
To reduce the energy consumption of logic gates in digital circuits, the size of transistors approaches the mesoscopic scale, e.g. sub-7 nanometers. However, existing energy consumption analysis methods exhibit various deviation for logic …
View article: Joint Antenna Scheduling and Power Allocation for Multi-Target Tracking under Range Deception Jamming in Distributed MIMO Radar System
Joint Antenna Scheduling and Power Allocation for Multi-Target Tracking under Range Deception Jamming in Distributed MIMO Radar System Open
The proliferation of electronic countermeasure (ECM) technology has presented military radar with unprecedented challenges as it remains the primary method of battlefield situational awareness. In this paper, a joint antenna scheduling and…
View article: VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication Open
In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial role in training a high-quality AI model. However, good data is not a free lunch and is always hard to access due to privacy regulations l…
View article: Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments Open
Bounding boxes uniquely characterize object detection, where a good detector gives accurate bounding boxes of categories of interest. However, in the real-world where test ground truths are not provided, it is non-trivial to find out wheth…
View article: Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges Open
Positioning has recently received considerable attention as a key enabler in emerging applications such as extended reality, unmanned aerial vehicles and smart environments. These applications require both data communication and high-preci…
View article: A constant time complexity algorithm for the unbounded knapsack problem with bounded coefficients
A constant time complexity algorithm for the unbounded knapsack problem with bounded coefficients Open
Benchmark instances for the unbounded knapsack problem are typically generated according to specific criteria within a given constant range $R$, and these instances can be referred to as the unbounded knapsack problem with bounded coeffici…
View article: Heavy-ball-based relaxed optimal s-thresholding algorithms for solving compressed sensing problem
Heavy-ball-based relaxed optimal s-thresholding algorithms for solving compressed sensing problem Open
This paper focuses on the problem of compressed sensing. By merging heavy-ball acceleration method which is a multi-step extension of the traditional gradient descent method and a new thresholding technique – optimal s-thresholding, we pro…
View article: Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation Open
The significant advancements in large language models (LLMs) give rise to a promising research direction, i.e., leveraging LLMs as recommenders (LLMRec). The efficacy of LLMRec arises from the open-world knowledge and reasoning capabilitie…
View article: Event-Driven Learning for Spiking Neural Networks
Event-Driven Learning for Spiking Neural Networks Open
Brain-inspired spiking neural networks (SNNs) have gained prominence in the field of neuromorphic computing owing to their low energy consumption during feedforward inference on neuromorphic hardware. However, it remains an open challenge …
View article: Can GNN be Good Adapter for LLMs?
Can GNN be Good Adapter for LLMs? Open
Recently, large language models (LLMs) have demonstrated superior capabilities in understanding and zero-shot learning on textual data, promising significant advances for many text-related domains. In the graph domain, various real-world s…
View article: Enhancing Cross-domain Link Prediction via Evolution Process Modeling
Enhancing Cross-domain Link Prediction via Evolution Process Modeling Open
This work proposes DyExpert, a dynamic graph model for cross-domain link prediction. It can explicitly model historical evolving processes to learn the evolution pattern of a specific downstream graph and subsequently make pattern-specific…