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Our work “ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System” is accepted by 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 “Web3 Metaverse: State-of-the-Art and Vision” Is Accepted By ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

The metaverse, as a rapidly evolving socio-technical phenomenon, exhibits significant potential across diverse domains by leveraging Web3 (a.k.a. Web 3.0) technologies such as blockchain, smart contracts, and non-fungible tokens (NFTs). This survey aims to provide a comprehensive overview of the Web3 metaverse from a human-centered perspective. We systematically review the metaverse’s industrial (data from Dow Jones Factiva database) and academic (data from Google Scholar website) developments over the past 30 years, highlighting the balanced contributions from its core components: Web3, immersive convergence, and crowd intelligence communities.

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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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[Invited Talk] Towards Immersive Metaverse with Semantic-Aware Wireless Networks

Time & Date: 11:00 AM – 12:00 PM, July 20 (Thursday) Venue: Teaching D 115 Speaker: Prof. Zehui XIONG, Singapore University of Technology and Design Host: Prof. Wei CAI, The Chinese University of Hong Kong, Shenzhen Abstract:  Emerging with the support of computing and communications technologies, Metaverse is expected to bring users immersive service experiences over the entire virtual-reality […]

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Our paper on Blockchain-Based Carbon Market Analysis Accepted by IEEE Wireless Communications Magazine

To understand the role of blockchain in sustainability, we propose a three-tier structure based on the lifecycle of natural resources, encapsulating four utilities of blockchain: recording and tracking, wide verification, value trading, and concept disseminating. Based on this, we conduct a case study on Nori, a carbon credit market running on blockchain. Nori leverages the characteristics of blockchain, including public and immutable records, widespread verification achieved through smart contracts, and value creation through token and NFT transactions, to address issues in traditional carbon emission markets.

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Our Work on Comparative Analysis of Centralized and Decentralized Developer Autonomous Organizations Accepted by IEEE Transactions On Computational Social Systems

Our recent work, “A Comparative Analysis of Centralized and Decentralized Developer Autonomous Organizations Managing Conflicts in Discussing External Crises”, is accepted to be published in IEEE Transactions On Computational Social Systems. Understanding how online developer communities address conflicts that arise in discussions is essential to the collaboration issue. However, few studies have focused on the […]

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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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Our Work on Analyzing Player Behavior in Blockchain Games Accepted by ACM FDG’22

Our recent work titled “Towards Understanding Player Behavior in Blockchain Games: A Case Study of Aavegotchi” is accepted by the 17th International Conference on the Foundations of Digital Games (FDG 2022). Blockchain games introduces unique gameplay and incentive mechanisms by allowing players to be rewarded with in-game assets or tokens through financial activities. In practice, […]

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