Explanipedia

DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents Open

Jiaming Zhang, Che Wang, Guowei Guan, Wei Yang Bryan Lim · 2025

The reliance of mobile GUI agents on Multimodal Large Language Models (MLLMs) introduces a severe privacy vulnerability: screenshots containing Personally Identifiable Information (PII) are often sent to untrusted, third-party routers. The…

CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs Open

Jiaming Zhang, Rui Hu, Wei Yang Bryan Lim · 2025

Video Multimodal Large Language Models (V-MLLMs) have shown impressive capabilities in temporal reasoning and cross-modal understanding, yet their vulnerability to adversarial attacks remains underexplored due to unique challenges: complex…

Click with Care: Understanding Cybersecurity Awareness in Digital Financial Transactions in Malaysia Open

Daisy Mui Hung Kee, H. Lim, B. Lim, Henry W. Lim, Sung Won Lim , et al. · 2025

In today’s digital age, cybersecurity awareness in financial transactions is critical, especially within the banking sector. Maybank, as Malaysia’s top-ranked bank and one of the leading global financial institutions, must prioritize cyber…

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning Open

Fuyao Zhang, Yuantao Hao, Xinyu Yan, Yang Cao, Wei Yang Bryan Lim · 2025

Federated Unlearning (FU) has emerged as a critical compliance mechanism for data privacy regulations, requiring unlearned clients to provide verifiable Proof of Federated Unlearning (PoFU) to auditors upon data removal requests. However, …

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Open

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim · 2024

Federated Domain Adaptation (FDA) is a Federated Learning (FL) scenario where models are trained across multiple clients with unique data domains but a shared category space, without transmitting private data. The primary challenge in FDA …

Hierarchical Symbolic Pop Music Generation with Graph Neural Networks Open

Wei Yang Bryan Lim, Jinhua Liang, Huan Zhang · 2024

Music is inherently made up of complex structures, and representing them as graphs helps to capture multiple levels of relationships. While music generation has been explored using various deep generation techniques, research on graph-rela…

Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense Open

Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim , et al. · 2024

Federated Learning (FL) is a promising privacy-preserving machine learning paradigm that allows data owners to collaboratively train models while keeping their data localized. Despite its potential, FL faces challenges related to the trust…

Green Technologies for the Sustainable Metaverse and Web 3.0 Open

Xiaofei Wang, Mehdi Bennis, Ping Wang, Yu Rong, Wei Yang Bryan Lim · 2023

The concepts of Metaverse and Web 3.0 have surged in popularity, heralded as the “successor to the mobile Internet.” Web 3.0 represents a transformative shift in the Internet landscape, emphasizing user-centric decentralization. These core…

Table of Contents Open

Dusit Niyato, Jiayi Zhang, Jiangtian Nie, Jiangming Jin, Tao Han , et al. · 2023

Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach Open

Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato · 2023

Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental challenges due to its substantial energy consumption. Schedul…

Towards Green Metaverse Networking Technologies, Advancements and Future Directions Open

Siyue Zhang, Wei Yang Bryan Lim, Wei Chong Ng, Zehui Xiong, Dusit Niyato , et al. · 2022

As the Metaverse is iteratively being defined, its potential to unleash the next wave of digital disruption and create real-life value becomes increasingly clear. With distinctive features of immersive experience, simultaneous interactivit…

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication Open

Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Yu Han , et al. · 2022

Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC systems, edge devices connected via quantum channels can efficien…

Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse Open

Wei Chong Ng, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato , et al. · 2022

The physical-virtual world synchronization to develop the Metaverse will require a massive transmission and exchange of data. In this paper, we introduce semantic communication for the development of virtual transportation networks in the …

Economics of Semantic Communication System: An Auction Approach Open

Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato , et al. · 2022

Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meaning of data. Edge components, such as vehicles in next-generation intelligent transport systems, use well-trained sema…

Achieving an optimal group structure in a neural architecture search Open

Wangduk Seo, Jaegyun Park, Wei Yang Bryan Lim, D. Kim, Jaesung Lee · 2022

The method proposed in this letter searches for an effective group structure of group convolutions in a convolutional neural network that can improve the classification accuracy. The model's group structure is obtained using an effective d…

Dynamic Incentive Mechanism Design for COVID-19 Social Distancing Open

Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu , et al. · 2022

As countries enter the endemic phase of COVID-19, people's risk of exposure to the virus is greater than ever. There is a need to make more informed decisions in our daily lives on avoiding crowded places. Crowd monitoring systems typicall…

CrowdFL: A Marketplace for Crowdsourced Federated Learning Open

Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang , et al. · 2022

Amid data privacy concerns, Federated Learning (FL) has emerged as a promising machine learning paradigm that enables privacy-preserving collaborative model training. However, there exists a need for a platform that matches data owners (su…

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges Open

Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong , et al. · 2022

With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission rate to a new architecture that is based on the intelligen…

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges Open

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong , et al. · 2022

Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and i…

Semantic Communication Meets Edge Intelligence Open

Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato , et al. · 2022

The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum resource becomes more and more scarce, there is a growing …

Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted Edge Computing Open

Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao , et al. · 2022

Unmanned aerial vehicles (UAVs) have gained wide research interests due to their technological advancement and high mobility. The UAVs are equipped with increasingly advanced capabilities to run computationally intensive applications enabl…

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven Open

Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao , et al. · 2022

Dubbed "the successor to the mobile Internet", the concept of the Metaverse has recently exploded in popularity. While there exists lite versions of the Metaverse today, we are still far from realizing the vision of a seamless, shardless, …

A Comparative Study for the Impact of IFRS Convergence on Accounting Quality between Malaysian PLC and Chinese PLC Open

Tan Kok Eng, Ooi Chee Keong, Kin Tang, Nai Chiek Aik, Wei Yang Bryan Lim , et al. · 2021

The purpose of this research is to examines whether Malaysian PLC (fully converge to IFRS) could achieve better accounting quality as compare with Chinese PLC (non-fully converge to IFRS) or otherwise. And then further study on the relatio…

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network Open

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng, Suttinee Sawadsitang, Zehui Xiong , et al. · 2021

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly advanced capabilities that can run applications enabled by machine learning techniques, which require computationally intensive operations such as matrix multipli…

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial\n Vehicles Network Open

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng, Suttinee Sawadsitang, Zehui Xiong , et al. · 2021

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly\nadvanced capabilities that can run applications enabled by machine learning\ntechniques, which require computationally intensive operations such as matrix\nmulti…

Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse Open

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato , et al. · 2021

Dubbed as the next-generation Internet, the metaverse is a virtual world that allows users to interact with each other or objects in real-time using their avatars. The metaverse is envisioned to support novel ecosystems of service provisio…

Economics of Semantic Communication System in Wireless Powered Internet of Things Open

Zi Qin Liew, Yanyu Cheng, Wei Yang Bryan Lim, Dusit Niyato, Chunyan Miao , et al. · 2021

The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data. Wireless powered Internet of Things (IoT) that adopts the semantic communication system relies on harvested energy…

Communication-efficient and Scalable Decentralized Federated Edge Learning Open

Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li , et al. · 2021

Federated Edge Learning (FEL) is a distributed Machine Learning (ML) framework for collaborative training on edge devices. FEL improves data privacy over traditional centralized ML model training by keeping data on the devices and only sen…

Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning Open

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Jiangming Jin, Yang Zhang , et al. · 2021

To enable the large scale and efficient deployment of Artificial Intelligence (AI), the confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages on the computation and communication capabilities of end devic…

Collaborative Coded Computation Offloading: An All-pay Auction Approach Open

Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato , et al. · 2021

As the amount of data collected for crowdsensing applications increases rapidly due to improved sensing capabilities and the increasing number of Internet of Things (IoT) devices, the cloud server is no longer able to handle the large-scal…

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