HCSLab moved to the University of Washington

We are delighted to inform you that the HCSLab at CUHK-Shenzhen will be closed down and the lab will be rebranded as UW Decentralized Computing Laboratory hosted by the Computer Science and Systems Program at the School of Engineering and Technology, University of Washington, Tacoma Campus. You are welcome to visit our new site at sites.uw.edu/weicaics

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Our Work “SemNFT: A Semantically Enhanced Decentralized Middleware for Digital Asset Immortality” Is Accepted By ACM MM’24

Non-Fungible Tokens (NFTs) have emerged as a pivotal digital asset, offering authenticated ownership of unique digital content. Despite it has gained remarkable traction, yet face pressing storage and verification challenges stemming from blockchain’s permanent data costs. Existing off-chain or centralized storage solutions, while being alternatives, also introduce notable security vulnerabilities. We present SemNFT, an innovative decentralized framework integrated with blockchain oracle middleware services, addressing these persistent NFT dilemmas.

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Our work “ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System” is accepted by ACM WWW’24

Airdrops have become a standard tactic in Web3 business operations, with Decentralized Applications (DApps) distributing tokens to encourage user engagement based on smart contract rules. This practice has led to the emergence of “airdrop hunters,” individuals who collect wallet addresses to claim these generous token giveaways by interacting with the contracts. While airdrops are beneficial for attracting early DApp users, the self-trading activities of hunters to appear as active participants threaten the ecosystem’s integrity and challenge the decentralization goals of DApps. DApp teams face the challenge of detecting airdrop hunters without disadvantaging genuine users.

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Our Work “MetaCast: A Self-Driven Metaverse Announcer Architecture Based on Quality of Experience Evaluation Model” Is Accepted By ACM MM’ 23

We propose a three-stage architecture for metaverse announcers, which is designed to identify events, position cameras, and blend between shots. Based on the architecture, we introduce a Metaverse Announcer User Experience (MAUE) model to identify the factors affecting the users’ Quality of Experience (QoE) from a human-centered perspective. In addition, we implement MetaCast, a practical self-driven metaverse announcer in a university campus metaverse prototype, to conduct user studies for MAUE model. The experimental results have effectively achieved satisfactory announcer settings that align with the preferences of most users, encompassing parameters such as video transition rate, repetition rate, importance threshold value, and image composition.

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Our work “Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective” is accepted by ACM CHI’23

Many decentralized applications (DApps) issue airdrops to early supporters for their contributions. However, most eligible users are motivated by financial profit or preferential access to tokens with governance rights to obtain quick cash. In this paper, we take ParaSwap as a representative example, trying to evaluate the Web 3.0 community and the effectiveness of allocation principles through the analysis of eligible users’ behavior and token transaction network.

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