905 citations · 1.2k across the 23 of their papers we have counts for
26 papers
Detect Depression from Social Networks with Sentiment Knowledge Sharing
Yan Shi, Yao Tian, Chengwei Tong +6
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears. Notably, following lockdown periods during the COVID-19 pandemic, the issu…
How Secure is Your Website? A Comprehensive Investigation on CAPTCHA Providers and Solving Services
Rui Jin, Lin Huang, Jikang Duan +3
Completely Automated Public Turing Test To Tell Computers and Humans Apart (CAPTCHA) has been implemented on many websites to identify between harmful automated bots and legitimate…
Deepfake in the Metaverse: An Outlook Survey
Haojie Wu, Pan Hui, Pengyuan Zhou
We envision deepfake technologies, which synthesize realistic fake images and videos, will play an important role in the future metaverse. While enhancing users' immersion and expe…
BotSCL: Heterophily-aware Social Bot Detection with Supervised Contrastive Learning
Qi Wu, Yingguang Yang, Buyun He +3
Detecting ever-evolving social bots has become increasingly challenging. Advanced bots tend to interact more with humans as a camouflage to evade detection. While graph-based detec…
Last Week with ChatGPT: A Weibo Study on Social Perspective Regarding ChatGPT for Education and Beyond
Yao Tian, Chengwei Tong, Lik-Hang Lee +3
The application of AI-powered tools has piqued the interest of many fields, particularly in the academic community. This study uses ChatGPT, currently the most powerful and popular…
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim +9
To foster the development of pedagogically potent and ethically sound AI-integrated learning landscapes, it is pivotal to critically explore the perceptions and experiences of the…
What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era
Lik-Hang Lee, Pengyuan Zhou, Chaoning Zhang +1
The global metaverse development is facing a "cooldown moment", while the academia and industry attention moves drastically from the Metaverse to AI Generated Content (AIGC) in 202…
Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction
Yao Lu, Pengyuan Zhou, Yong Liao +1
Urban anomaly predictions, such as traffic accident prediction and crime prediction, are of vital importance to smart city security and maintenance. Existing methods typically use…
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang, Renyu Yang, Hao Peng +4
Social bot detection is of paramount importance to the resilience and security of online social platforms. The state-of-the-art detection models are siloed and have largely overloo…
Unleashing GPT on the Metaverse: Savior or Destroyer?
Pengyuan Zhou
Incorporating artificial intelligence (AI) technology, particularly large language models (LLMs), is becoming increasingly vital for developing immersive and interactive metaverse…
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
Haoran Li, XiaoLu Li, Yihang Lin +4
Video prediction is a complex time-series forecasting task with great potential in many use cases. However, traditional methods prioritize accuracy and overlook slow prediction spe…
Mitigating Backdoors in Federated Learning with FLD
Yihang Lin, Pengyuan Zhou, Zhiqian Wu +1
Federated learning allows clients to collaboratively train a global model without uploading raw data for privacy preservation. This feature, i.e., the inability to review participa…
Vetaverse: A Survey on the Intersection of Metaverse, Vehicles, and Transportation Systems
Pengyuan Zhou, Jinjing Zhu, Yiting Wang +12
Since 2021, the term "Metaverse" has been the most popular one, garnering a lot of interest. Because of its contained environment and built-in computing and networking capabilities…
Celeritas: Fast Optimizer for Large Dataflow Graphs
Hengwei Xu, Yong Liao, Haiyong Xie +1
The rapidly enlarging neural network models are becoming increasingly challenging to run on a single device. Hence model parallelism over multiple devices is critical to guarantee…
Federated Split GANs
Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou +5
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications. Traditional ML techniques have shifted toward…
FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud Video Streaming
Yu Gao, Pengyuan Zhou, Zhi Liu +2
Point cloud video transmission is challenging due to high encoding/decoding complexity, high video bitrate, and low latency requirement. Consequently, conventional adaptive streami…
HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask
Anish K. Vallapuram, Pengyuan Zhou, Young D. Kwon +3
Federated learning alleviates the privacy risk in distributed learning by transmitting only the local model updates to the central server. However, it faces challenges including st…
What is the Metaverse? An Immersive Cyberspace and Open Challenges
Lik-Hang Lee, Pengyuan Zhou, Tristan Braud +1
The Metaverse refers to a virtual-physical blended space in which multiple users can concurrently interact with a unified computer-generated environment and other users, which can…
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace
Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee +3
AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences. Thus, the trustworthiness of such AI systems is vital as failures in these…
EdgeXAR: A 6-DoF Camera Multi-target Interaction Framework for MAR with User-friendly Latency Compensation
Wenxiao Zhang, Sikun Lin, Farshid Hassani Bijarbooneh +5
The computational capabilities of recent mobile devices enable the processing of natural features for Augmented Reality (AR), but the scalability is still limited by the devices' c…
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
Lik-Hang Lee, Tristan Braud, Pengyuan Zhou +6
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We have created various computer-mediated virtual environments including social networks, v…
Loss Tolerant Federated Learning
Pengyuan Zhou, Pei Fang, Pan Hui
Federated learning has attracted attention in recent years for collaboratively training data on distributed devices with privacy-preservation. The limited network capacity of mobil…
AICP: Augmented Informative Cooperative Perception
Pengyuan Zhou, Pranvera Kortoci, Yui-Pan Yau +7
Connected vehicles, whether equipped with advanced driver-assistance systems or fully autonomous, require human driver supervision and are currently constrained to visual informati…
5G MEC Computation Handoff for Mobile Augmented Reality
Pengyuan Zhou, Shuhao Fu, Benjamin Finley +5
The combination of 5G and Multi-access Edge Computing (MEC) can significantly reduce application delay by lowering transmission delay and bringing computational capabilities closer…