Xin Wang
YOU?
Author Swipe
View article: Optimal Ice Particle Models of Different Cloud Types for Radiative Transfer Simulation at 183 GHz Frequency Band
Optimal Ice Particle Models of Different Cloud Types for Radiative Transfer Simulation at 183 GHz Frequency Band Open
The Fengyun-4 microwave satellite provides high-temporal-frequency observations at the 183 GHz band, providing unprecedented data for all-weather, three-dimensional measurements of atmospheric parameters. It is of importance to establish a…
View article: Message Passing Algorithm Receiver Design for RIS-Assisted Downlink MIMO-SCMA System
Message Passing Algorithm Receiver Design for RIS-Assisted Downlink MIMO-SCMA System Open
Sparse code multiple access (SCMA) and reconfigurable intelligent surfaces (RISs) are two promising techniques in the forthcoming 6G communication networks to provide massive connectivity and enhance the spectral efficiency. To our best kn…
View article: An Energy-Efficient FPGA-Based Real-Time IMDD OFDM-PON Enabled by an Efficient FFT
An Energy-Efficient FPGA-Based Real-Time IMDD OFDM-PON Enabled by an Efficient FFT Open
For the first time, a highly energy-efficient 32-parallel 64-point FFT scheme for IMDD OFDM-PON is proposed and implemented on a Xilinx ML605 platform. By experimentally verifying the power consumption model for the FPGA logic resources ut…
View article: CrossDF: improving cross-domain deepfake detection with deep information decomposition
CrossDF: improving cross-domain deepfake detection with deep information decomposition Open
Deepfake technology represents a serious risk to safety and public confidence. While current detection approaches perform well in identifying manipulations within datasets that utilize identical deepfake methods for both training and valid…
View article: RGB to Infrared Image Translation Based on Diffusion Bridges Under Aerial Perspective
RGB to Infrared Image Translation Based on Diffusion Bridges Under Aerial Perspective Open
Infrared images have garnered significant interest due to their superior performance, driving extensive research on visible-to-infrared image translation. However, existing cross-domain generation methods lack specialization for infrared i…
View article: HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views
HyGS-TDOM: A Hybrid Gaussian Splatting Famework for generating TDOMs from both dense and sparse views Open
The True Digital Orthophoto Map (TDOM) possesses both map geometric accuracy and image characteristics, serving as an essential product for digital twins and Geographic Information Systems (GIS). Traditional TDOM generation methods typical…
View article: Source-free cross-modality medical image synthesis with diffusion priors
Source-free cross-modality medical image synthesis with diffusion priors Open
Cross-modality medical image synthesis plays a critical role in enabling comprehensive multi-modal diagnosis and treatment. However, existing methods are constrained by their reliance on paired or unpaired source-target data, limiting scal…
View article: Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning Open
Partial agent failure becomes inevitable when systems scale up, making it crucial to identify the subset of agents whose compromise would most severely degrade overall performance. In this paper, we study this Vulnerable Agent Identificati…
View article: MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance
MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance Open
General-domain large multimodal models (LMMs) have achieved significant advances in various image-text tasks. However, their performance in the Intelligent Traffic Surveillance (ITS) domain remains limited due to the absence of dedicated m…
View article: Super Resolution for Mangrove UAV Remote Sensing Images
Super Resolution for Mangrove UAV Remote Sensing Images Open
Mangroves play a crucial role in ecosystems, and the accurate classification and real-time monitoring of mangrove species are essential for their protection and restoration. To improve the segmentation performance of mangrove UAV remote se…
View article: Machine Unlearning of Traffic State Estimation and Prediction
Machine Unlearning of Traffic State Estimation and Prediction Open
Data-driven traffic state estimation and prediction (TSEP) relies heavily on data sources that contain sensitive information. While the abundance of data has fueled significant breakthroughs, particularly in machine learning-based methods,…
View article: A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing Open
The integration of the Industrial Internet of Things (IIoT) with Artificial Intelligence-Generated Content (AIGC) offers new opportunities for smart manufacturing, but it also introduces challenges related to computation-intensive tasks an…
View article: Static phase gradient metasurface antenna enabling synergistic radiation-scattering function integration
Static phase gradient metasurface antenna enabling synergistic radiation-scattering function integration Open
This paper presents a metasurface antenna with both radiation and scattering characteristics. First, a symmetric slotted patch antenna unit is designed and its operating frequency is tuned to the 8.4–9.4 GHz (11.2%) range. Subsequently, in…
View article: SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning Open
Large Reasoning Models (LRMs) introduce a new generation paradigm of explicitly reasoning before answering, leading to remarkable improvements in complex tasks. However, they pose great safety risks against harmful queries and adversarial …
View article: The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 Open
The rapid development of large reasoning models (LRMs), such as OpenAI-o3 and DeepSeek-R1, has led to significant improvements in complex reasoning over non-reasoning large language models~(LLMs). However, their enhanced capabilities, comb…
View article: PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping
PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping Open
3D Gaussian Splatting (3DGS) has emerged as a transformative method in the field of real-time novel synthesis. Based on 3DGS, recent advancements cope with large-scale scenes via spatial-based partition strategy to reduce video memory and …
View article: Faster Classification of Time-Series Input Streams
Faster Classification of Time-Series Input Streams Open
Deep learning–based classifiers are widely used for perception in autonomous Cyber-Physical Systems (CPS’s). However, such classifiers rarely offer guarantees of perfect accuracy while being optimized for efficiency. To support safety-crit…
View article: Tortho-Gaussian: Splatting True Digital Orthophoto Maps
Tortho-Gaussian: Splatting True Digital Orthophoto Maps Open
True Digital Orthophoto Maps (TDOMs) are essential products for digital twins and Geographic Information Systems (GIS). Traditionally, TDOM generation involves a complex set of traditional photogrammetric process, which may deteriorate due…
View article: A Comparative Study on Music Curriculum Design in Universities based on AR technology: A Survey of 10 Undergraduate Colleges in Nanjing
A Comparative Study on Music Curriculum Design in Universities based on AR technology: A Survey of 10 Undergraduate Colleges in Nanjing Open
Purpose: During the past few decades, there has been a huge increase in the usage of technological devices like mobile phones, which are now an indispensable part of our everyday lives. AR-based applications for smartphones and tablets hav…
View article: Multimodal Situational Safety
Multimodal Situational Safety Open
Multimodal Large Language Models (MLLMs) are rapidly evolving, demonstrating impressive capabilities as multimodal assistants that interact with both humans and their environments. However, this increased sophistication introduces signific…
View article: Evolved Differential Model for Sporadic Graph Time-Series Prediction
Evolved Differential Model for Sporadic Graph Time-Series Prediction Open
Sensing signals of many real-world network systems, such as traffic network or microgrid, could be sparse and irregular in both spatial and temporal domains due to reasons such as cost reduction, noise corruption, or device malfunction. It…
View article: Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer Open
In large-scale online service systems, numerous Key Performance Indicators (KPIs), such as service response time and error rate, are gathered in a time-series format. KPI Anomaly Detection (KAD) is a critical data mining problem due to its…
View article: TupleChain: Fast Lookup of OpenFlow Table with Multifaceted Scalability
TupleChain: Fast Lookup of OpenFlow Table with Multifaceted Scalability Open
OpenFlow switches are fundamental components of software defined networking, where the key operation is to look up flow tables to determine which flow an incoming packet belongs to. This needs to address the same multi-field rule-matching …
View article: Data Poisoning Attacks in Intelligent Transportation Systems: A Survey
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey Open
Emerging technologies drive the ongoing transformation of Intelligent Transportation Systems (ITS). This transformation has given rise to cybersecurity concerns, among which data poisoning attack emerges as a new threat as ITS increasingly…