Peng Yuan Zhou

Orcid: 0000-0002-7909-4059

Affiliations:
  • Aarhus University, Department of Electrical and Computer Engineering, Aarhus, Denmark
  • University of Science and Technology of China, Hefei, China (former)
  • University of Helsinki, Department of Computer Science, Helsinki, Finland (former, PhD 2020)


According to our database1, Peng Yuan Zhou authored at least 83 papers between 2016 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Distilling efficient Vision Transformers from CNNs for semantic segmentation.
Pattern Recognit., 2025

2024
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting.
IEEE Trans. Vis. Comput. Graph., May, 2024

Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling.
IEEE Trans. Multim., 2024

The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults.
Proc. ACM Hum. Comput. Interact., 2024

All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda.
Found. Trends Hum. Comput. Interact., 2024

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential.
CoRR, 2024

360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes.
CoRR, 2024

A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming.
CoRR, 2024

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.
CoRR, 2024

Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise.
CoRR, 2024

Gamified Alzheimer's Disease Diagnosis via Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

5G MEC Computation Handoff for Mobile Augmented Reality.
Proceedings of the IEEE International Conference on Metaverse Computing, 2024

FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling.
Proceedings of the Computer Vision - ECCV 2024, 2024

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing.
Proceedings of the Computer Vision - ECCV 2024, 2024

Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Spatial Computing: Defining the Vision for the Future.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems [From the Guest Editors].
IEEE Veh. Technol. Mag., December, 2023

Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement Learning Based Approach.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse.
IEEE Netw., 2023

2D-Guided 3D Gaussian Segmentation.
CoRR, 2023

FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion.
CoRR, 2023

Take History as a Mirror in Heterogeneous Federated Learning.
CoRR, 2023

User Authentication and Identity Inconsistency Detection via Mouse-trajectory Similarity Measurement.
CoRR, 2023

AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise.
CoRR, 2023

Towards Efficient Secure Aggregation in FL: Partial Vector Freezing for Cost Compression.
CoRR, 2023

Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information.
CoRR, 2023

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing.
CoRR, 2023

NLPBench: Evaluating Large Language Models on Solving NLP Problems.
CoRR, 2023

Detect Depression from Social Networks with Sentiment Knowledge Sharing.
CoRR, 2023

How Secure is Your Website? A Comprehensive Investigation on CAPTCHA Providers and Solving Services.
CoRR, 2023

Heterophily-aware Social Bot Detection with Supervised Contrastive Learning.
CoRR, 2023

Deepfake in the Metaverse: An Outlook Survey.
CoRR, 2023

Last Week with ChatGPT: A Weibo Study on Social Perspective regarding ChatGPT for Education and Beyond.
CoRR, 2023

Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education.
CoRR, 2023

What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era.
CoRR, 2023

Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction.
CoRR, 2023

Unleashing ChatGPT on the Metaverse: Savior or Destroyer?
CoRR, 2023

TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction.
CoRR, 2023

Mitigating Backdoors in Federated Learning with FLD.
CoRR, 2023

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
Proceedings of the ACM Web Conference 2023, 2023

Demo: Near Real-time ChatGPT-AR.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Mercury: Fast and Optimal Device Placement for Large Deep Learning Models.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Hierarchical Privacy-Preserved Knowledge Graph.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Training ChatGPT-like Models with In-network Computation.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
Federated split GANs for collaborative training with heterogeneous devices.
Softw. Impacts, December, 2022

AICP: Augmented Informative Cooperative Perception.
IEEE Trans. Intell. Transp. Syst., 2022

EdgeXAR: A 6-DoF Camera Multi-target Interaction Framework for MAR with User-friendly Latency Compensation.
Proc. ACM Hum. Comput. Interact., 2022

Are You Left Out?: An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, Vehicles, and Transportation Systems.
CoRR, 2022

Celeritas: Fast Optimizer for Large Dataflow Graphs.
CoRR, 2022

FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud Video Streaming.
CoRR, 2022

HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask.
CoRR, 2022

What is the Metaverse? An Immersive Cyberspace and Open Challenges.
CoRR, 2022

Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace.
CoRR, 2022

Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Federated split GANs.
Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

2021
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV.
IEEE Trans. Intell. Transp. Syst., 2021

Loss Tolerant Federated Learning.
CoRR, 2021

Augmented Informative Cooperative Perception.
CoRR, 2021

5G MEC Computation Handoff for Mobile Augmented Reality.
CoRR, 2021

Decentralizing Computation with Edge Computing: Potential and Challenges.
Proceedings of the IWCI'21: Proceedings of the Interdisciplinary Workshop on (de) Centralization in the Internet, 2021

2020
Edge-Facilitated Mobile Computing and Communication.
PhD thesis, 2020

Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks.
IEEE Trans. Veh. Technol., 2020

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control.
CoRR, 2020

Evaluating Transport Protocols on 5G for Mobile Augmented Reality.
CoRR, 2020

Multipath Computation Offloading for Mobile Augmented Reality.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

Bricklayer: Resource Composition on the Spot Market.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
ERL: Edge Based Reinforcement Learning for Optimized Urban Traffic Light Control.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Container deployment strategy for edge networking.
Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets, 2019

Enhanced Augmented Reality Applications in Vehicle-to-Edge Networks.
Proceedings of the 22nd Conference on Innovation in Clouds, 2019

DeCloud: Truthful Decentralized Double Auction for Edge Clouds.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
ARVE: Augmented Reality Applications in Vehicle to Edge Networks.
Proceedings of the 2018 Workshop on Mobile Edge Communications, 2018

Anveshak: Placing Edge Servers In The Wild.
Proceedings of the 2018 Workshop on Mobile Edge Communications, 2018

2017
Managing Data in Computational Edge Clouds.
Proceedings of the Workshop on Mobile Edge Communications, 2017

Grouping Computational Data in Resource Caches of Edge-Fog Cloud.
Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms, CrossCloud@EuroSys 2017, Belgrade, Serbia, April 23, 2017

2016
Profiling and Grouping Users to Edge Resources According to User Interest Similarity.
Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, 2016


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