16 citations · 30 across the 31 of their papers we have counts for
32 papers
Detecting Coverage Holes in Wireless Sensor Networks Using Connected Component Labeling and Force-Directed Algorithms
Jiacheng Xu, Xiongfei Zhao, Hou-Wan Long +2
Contour detection in Wireless Sensor Networks (WSNs) is crucial for tasks like energy saving and network optimization, especially in security and surveillance applications. Coverag…
A Generic Framework for Optimization in Blockchain Simulators
Hou-Wan Long, Yujun Pan, Xiongfei Zhao +1
As blockchain technology rapidly evolves, researchers face a significant challenge due to diverse and non-standardized simulation parameters, which hinder the replicability and com…
Central Bank Digital Currencies: A Survey
Qifeng Tang, Yain-Whar Si
With the advancement of digital payment technologies, central banks worldwide have increasingly begun to explore the implementation of Central Bank Digital Currencies (CBDCs). This…
An End-to-End Model for Logits-Based Large Language Models Watermarking
Kahim Wong, Jicheng Zhou, Jiantao Zhou +1
The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technologies. Passive detection methods…
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge
Kahim Wong, Jicheng Zhou, Kemou Li +3
The proliferation of AI-generated content brings significant concerns on the forensic and security issues such as source tracing, copyright protection, etc, highlighting the need f…
Transfer Learning in Financial Time Series with Gramian Angular Field
Hou-Wan Long, On-In Ho, Qi-Qiao He +1
In financial analysis, time series modeling is often hampered by data scarcity, limiting neural network models' ability to generalize. Transfer learning mitigates this by leveragin…
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU
Zhuowen Zheng, Yain-Whar Si, Xiaochen Yuan +5
Nowadays, with the advancement of deep neural networks (DNNs) and the availability of large-scale datasets, the face recognition (FR) model has achieved exceptional performance. Ho…
Mitigating Blockchain extractable value (BEV) threats by Distributed Transaction Sequencing in Blockchains
Xiongfei Zhao, Hou-Wan Long, Zhengzhe Li +2
The rapid growth of Blockchain and Decentralized Finance (DeFi) has introduced new challenges and vulnerabilities that threaten the integrity and efficiency of the ecosystem. This…
MSConv: Multiplicative and Subtractive Convolution for Face Recognition
Si Zhou, Yain-Whar Si, Xiaochen Yuan +5
In Neural Networks, there are various methods of feature fusion. Different strategies can significantly affect the effectiveness of feature representation, consequently influencing…
RVAFM: Re-parameterizing Vertical Attention Fusion Module for Handwritten Paragraph Text Recognition
Jinhui Zheng, Zhiquan Liu, Yain-Whar Si +5
Handwritten Paragraph Text Recognition (HPTR) is a challenging task in Computer Vision, requiring the transformation of a paragraph text image, rich in handwritten text, into text…
FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
Xueyuan Gong, Zhiquan Liu, Yain-Whar Si +5
Computing power has evolved into a foundational and indispensable resource in the area of deep learning, particularly in tasks such as Face Recognition (FR) model training on large…
Minimizing Block Incentive Volatility Through Verkle Tree-Based Dynamic Transaction Storage
Xiongfei Zhao, Gerui Zhang, Hou-Wan Long +1
Transaction fees are a crucial revenue source for miners in public and consortium blockchains. However, while public blockchains have additional revenue streams, transaction fees s…
An Efficient Dynamic Transaction Storage Mechanism for Sustainable High Throughput Bitcoin
Xiongfei Zhao, Gerui Zhang, Yain-Whar Si
As coin-based rewards dwindle, transaction fees play an important role as mining incentives in Bitcoin. In this paper, we propose a novel mechanism called Efficient Dynamic Transac…
Challenges of Blockchain adoption in financial services in China's Greater Bay Area
Xiongfei Zhao, Yain-Whar Si
In China's Greater Bay Area (Guangdong-Hong Kong-Macao), the increasing use of Blockchain technology in financial services has the potential to generate benefits for many stakehold…
Dynamic Mining Interval to Improve Blockchain Throughput
Hou-Wan Long, Xiongfei Zhao, Yain-Whar Si
Decentralized Finance (DeFi), propelled by Blockchain technology, has revolutionized traditional financial systems, improving transparency, reducing costs, and fostering financial…
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang +5
Learning the discriminative features of different faces is an important task in face recognition. By extracting face features in neural networks, it becomes easy to measure the sim…
A Comparative Analysis on Volatility and Scalability Properties of Blockchain Compression Protocols
Gerui Zhang, Xiongfei Zhao, Yain-Whar Si
Increasing popularity of trading digital assets can lead to significant delays in Blockchain networks when processing transactions. When transaction fees become miners' primary rev…
Force-directed algorithms for schematic drawings and placement: A survey
Se-Hang Cheong, Yain-Whar Si
Force-directed algorithms have been developed over the last 50 years and used in many application fields, including information visualisation, biological network visualisation, sen…
Coverage hole detection in WSN with force-directed algorithm and transfer learning
Yue-Hui Lai, Se-Hang Cheong, Hui Zhang +1
Coverage hole detection is an important research problem in wireless sensor network research community. However, distributed approaches proposed in recent years for coverage hole d…
CWBound: boundary node detection algorithm for complex non-convex mobile ad hoc networks
Se-Hang Cheong, Yain-Whar Si
Efficient message forwarding in mobile ad hoc network in disaster scenarios is challenging because location information on the boundary and interior nodes is often unavailable. Inf…
Online force-directed algorithms for visualization of dynamic graphs
Se-Hang Cheong, Yain-Whar Si
Force-directed (FD) algorithms can be used to explore relationships in social networks, visualize money markets, and analyze transaction networks. However, FD algorithms are mainly…
An image classification approach for hole detection in wireless sensor networks
Se-Hang Cheong, Kim-Hou Ng, Yain-Whar Si
Hole detection is a crucial task for monitoring the status of wireless sensor networks (WSN) which often consist of low-capability sensors. Holes can form in WSNs due to the proble…
Snapshot Visualization of Complex Graphs with Force-Directed Algorithms
Se-Hang Cheong, Yain-Whar Si
Force-directed algorithms are widely used for visualizing graphs. However, these algorithms are computationally expensive in producing good quality layouts for complex graphs. The…
Saving lives: design and implementation of lifeline emergency ad hoc network
Se-Hang Cheong, Yain-Whar Si, Leong-Hou U
This paper aims to propose a system for automatically forming ad hoc networks using mobile phones and battery-powered wireless routers for emergency situations. The system also pro…