Publications (39)
Keratoconus Recognition Using A Parameter Set Determined from IOP-Matched Scenario
Dan Lin, Lei Tian, Shu Zhang +2
PURPOSE: Among the current practices for keratoconus recognition using biomechanical parameters from Corvis ST, matching intra-ocular pressure (IOP) is often required to eliminate…
RISKTAGGER: Evidence-Guided LLM Agent for Post-Incident Forensic Analysis of Money Laundering in Web3
Dan Lin, Yanli Ding, Weipeng Zou +5
Cryptocurrency money-laundering forensic analysis after Web3 incidents faces challenges such as fragmented evidence, expanding transaction paths, and cross-chain discontinuity. Exi…
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Kai Wang, Yu Liu, Xiujuan Xu +1
Knowledge Graph Embedding (KGE) aims to represent entities and relations of knowledge graph in a low-dimensional continuous vector space. Recent works focus on incorporating struct…
MultiFuser: Multimodal Fusion Transformer for Enhanced Driver Action Recognition
Ruoyu Wang, Wenqian Wang, Jianjun Gao +3
Driver action recognition, aiming to accurately identify drivers' behaviours, is crucial for enhancing driver-vehicle interactions and ensuring driving safety. Unlike general actio…
Multi-modality action recognition based on dual feature shift in vehicle cabin monitoring
Dan Lin, Philip Hann Yung Lee, Yiming Li +4
Driver Action Recognition (DAR) is crucial in vehicle cabin monitoring systems. In real-world applications, it is common for vehicle cabins to be equipped with cameras featuring di…
Does Money Laundering on Ethereum Have Traditional Traits?
Qishuang Fu, Dan Lin, Yiyue Cao +1
As the largest blockchain platform that supports smart contracts, Ethereum has developed with an incredible speed. Yet due to the anonymity of blockchain, the popularity of Ethereu…
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition
Ruoyu Wang, Chen Cai, Wenqian Wang +4
Driver action recognition has significantly advanced in enhancing driver-vehicle interactions and ensuring driving safety by integrating multiple modalities, such as infrared and d…
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding
Jiajing Wu, Qi Yuan, Dan Lin +4
Recently, blockchain technology has become a topic in the spotlight but also a hotbed of various cybercrimes. Among them, phishing scams on blockchain have been found making a nota…
The first laws of thermodynamics of the (2+1)-dimensional BTZ black holes and Kerr-de Sitter spacetimes
Wang Shuang, Wu Shuang-Qing, Xie Fei +1
We investigate the first law of thermodynamics in the case of the (2+1)-dimensional BTZ black holes and Kerr-de Sitter spacetimes, in particular, we focus on the integral mass form…
Hiding in the Clouds and Building a Stealth Communication Network
Wei Jiang, Adam Bowers, Dan Lin
Social networks, instant messages and file sharing systems are common communication means among friends, families, coworkers, etc. Due to concerns of personal privacy, identify the…
CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association
Dan Lin, Jiajing Wu, Yuxin Su +5
Decentralized bridge applications are important software that connects various blockchains and facilitates cross-chain asset transfer in the decentralized finance (DeFi) ecosystem…
Financial Crimes in Web3-empowered Metaverse: Taxonomy, Countermeasures, and Opportunities
Jiajing Wu, Kaixin Lin, Dan Lin +3
At present, the concept of metaverse has sparked widespread attention from the public to major industries. With the rapid development of blockchain and Web3 technologies, the decen…
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
Haowei Fu, Bo Ni, Han Xu +3
Retrieval-Augmented Generation (RAG) and Supervised Finetuning (SFT) have become the predominant paradigms for equipping Large Language Models (LLMs) with external knowledge for di…
BridgeShield: Enhancing Security for Cross-chain Bridge Applications via Heterogeneous Graph Mining
Dan Lin, Shunfeng Lu, Ziyan Liu +5
Cross-chain bridges play a vital role in enabling blockchain interoperability. However, due to the inherent design flaws and the enormous value they hold, they have become prime ta…
XSema: A Novel Framework for Semantic Extraction of Cross-chain Transactions
Ziye Zheng, Jiajing Wu, Dan Lin +2
As the number of blockchain platforms continues to grow, the independence of these networks poses challenges for transferring assets and information across chains. Cross-chain brid…
DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Dataset
Yiming Li, Chen Cai, Tianyi Liu +5
In driver activity monitoring, movements are mostly limited to the upper body, which makes many actions look similar. To tell these actions apart, human often rely on the objects t…
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
Kai Wang, Siqiang Luo, Dan Lin
We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning. For the first time, we link the path redundancy issue in the state-of-the-art K…
Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
Xutao Mao, Ke Li, Cameron Baird +2
The rapid advancement of fake voice generation technology has ignited a race with detection systems, creating an urgent need to secure the audio ecosystem. However, existing benchm…
Safeguarding Blockchain Ecosystem: Understanding and Detecting Attack Transactions on Cross-chain Bridges
Jiajing Wu, Kaixin Lin, Dan Lin +3
Cross-chain bridges are essential decentralized applications (DApps) to facilitate interoperability between different blockchain networks. Unlike regular DApps, the functionality o…
RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation
Dan Lin, Jiajing Wu, Qishuang Fu +2
As one of the most popular blockchain platforms supporting smart contracts, Ethereum has caught the interest of both investors and criminals. Differently from traditional financial…
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Yuanfeng Ji, Hao Chen, Dan Lin +2
Bone age is one of the most important indicators for assessing bone's maturity, which can help to interpret human's growth development level and potential progress. In the clinical…
Fight Virus Like a Virus: A New Defense Method Against File-Encrypting Ransomware
Joshua Morris, Dan Lin, Marcellus Smith
Nowadays ransomware has become a new profitable form of attack. This type of malware acts as a form of extortion which encrypts the files in a victim's computer and forces the vict…
Provable Privacy Guarantee for Individual Identities and Locations in Large-Scale Contact Tracing
Tyler Nicewarner, Wei Jiang, Aniruddha Gokhale +1
The task of infectious disease contact tracing is crucial yet challenging, especially when meeting strict privacy requirements. Previous attempts in this area have had limitations…
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance
Xinliang Zhou, Dan Lin, Ziyu Jia +4
Drowsy driving has a crucial influence on driving safety, creating an urgent demand for driver drowsiness detection. Electroencephalogram (EEG) signal can accurately reflect the me…
TruEye: Fine-Grained Detection of AI-Generated Human Subjects in Images
Jay Barot, Dan Lin
AI generated images are proliferating across the Internet. While some are used for entertainment, others are weaponized for fraud and social engineering attacks on social media use…
UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains
Shuyi Miao, Wangjie Qiu, Shengda Zhuo +5
As cross-chain interoperability advances, decentralized finance (DeFi) protocols enable illicit funds to be reorganized into uniform liquid assets that flow throughout the cryptocu…
Defend Data Poisoning Attacks on Voice Authentication
Ke Li, Cameron Baird, Dan Lin
With the advances in deep learning, speaker verification has achieved very high accuracy and is gaining popularity as a type of biometric authentication option in many scenes of ou…
Evaluation of central corneal thickness in keratoconus and normal corneas during air puff indentation
Dan Lin, Lei Tian, Chenglang Yuan +3
Purpose: This study aimed to investigate the actual changes of central corneal thickness (CCT) in keratoconus and normal corneas during air puff indentation, by using corneal visua…
A Generative Foundation Model for Chest Radiography
Yuanfeng Ji, Dan Lin, Xiyue Wang +12
The scarcity of well-annotated diverse medical images is a major hurdle for developing reliable AI models in healthcare. Substantial technical advances have been made in generative…
Open World Object Detection: A Survey
Yiming Li, Yi Wang, Wenqian Wang +3
Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection. Open world obje…
Find Another Me Across the World -- Large-scale Semantic Trajectory Analysis Using Spark
Chaoquan Cai, Dan Lin
In today's society, location-based services are widely used which collect a huge amount of human trajectories. Analyzing semantic meanings of these trajectories can benefit numerou…
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Dan Lin +1
Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic spa…
"Do You Know You Are Tracked by Photos That You Didn't Take": Location-Aware Multi-Party Image Privacy Protection
Joshua Morris, Sara Newman, Kannappan Palaniappan +2
Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of…
T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis
Jiajing Wu, Dan Lin, Zibin Zheng +1
Recently, graph embedding techniques have been widely used in the analysis of various networks, but most of the existing embedding methods omit the network dynamics and the multipl…
Dark photons and axion-like particles at the Electron-Ion Collider in China
Qiyuan Gao, Dan Lin, Hongkai Liu +1
The Electron-Ion Collider in China (EicC), a proposed high-luminosity facility with advanced charged particle and photon detection capabilities, provides unique opportunities to un…
Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems
Dan Lin, Ziye Zheng, Jiajing Wu +5
Cross-chain technology enables seamless asset transfer and message-passing within decentralized finance (DeFi) ecosystems, facilitating multi-chain coexistence in the current block…
Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
Dan Lin, Jiajing Wu, Qi Yuan +1
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of…
Towards Understanding Crypto Money Laundering in Web3 Through the Lenses of Ethereum Heists
Dan Lin, Jiajing Wu, Qishuang Fu +4
With the overall momentum of the blockchain industry, crypto-based crimes are becoming more and more prevalent. After committing a crime, the main goal of cybercriminals is to obfu…
A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy
Dan Lin, Christian S. Jensen, Rui Zhang +2
With the growing use of location-based services, location privacy attracts increasing attention from users, industry, and the research community. While considerable effort has been…