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20152025
most citedMulti-source Transfer Learning with Ensemble for Financial Time Series Forecasting

16 citations · 30 across the 31 of their papers we have counts for

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Showing 2025Show all

10 papers · 1 filter

cs.NI2025

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…

cs.CE2025

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…

econ.GN2025

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…

cs.CR2025

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…

cs.CV2025

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…

cs.CE2025

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…

cs.CV2025

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…

cs.CR2025

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…

cs.CV2025

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…

cs.CV2025

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…