Xiaohui Peng

Orcid: 0000-0003-2706-6379

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing Key Laboratory of Mobile Computing and Pervasive Device, China


According to our database1, Xiaohui Peng authored at least 26 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
DSparse: A Distributed Training Method for Edge Clusters Based on Sparse Update.
J. Comput. Sci. Technol., May, 2025

Tide: A Distributed Runtime Management Framework for Things-Edge-Cloud Computing Continuum.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Gensor: A Graph-Based Construction Tensor Compilation Method for Deep Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024
Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

CMS: A Computility Resource Status Management and Storage Framework.
Proceedings of the Network and Parallel Computing, 2024

Snapipeline: Accelerating Snapshot Startup for FaaS Containers.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Benchmarking Edge Computing Systems for Autonomous Vehicles via CAV Motifs.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2024

2023
ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022
Hebo System: Trusted Copyright Authorization in Computer Networks.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Flet-Edge: A Full Life-cycle Evaluation Tool for deep learning framework on the Edge.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2020
Fengyi: Trusted Data Sharing in VANETs with Blockchain.
Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020

Pinocchio: A Blockchain-Based Algorithm for Sensor Fault Tolerance in Low Trust Environment.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition.
IEEE Trans. Knowl. Data Eng., 2019

Deep learning for sensor-based activity recognition: A survey.
Pattern Recognit. Lett., 2019

Ecosystem of Things: Hardware, Software, and Architecture.
Proc. IEEE, 2019

T-REST: An Open-Enabled Architectural Style for the Internet of Things.
IEEE Internet Things J., 2019

Differential Privacy-Based Indoor Localization Privacy Protection in Edge Computing.
Proceedings of the 2019 IEEE SmartWorld, 2019

Zone of control: the basic computing unit for web of everything.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
A novel random forests based class incremental learning method for activity recognition.
Pattern Recognit., 2018

T-Suite: A RESTful Distributed Development and Runtime Environment on Things Devices.
Proceedings of the 2018 IEEE SmartWorld, 2018

Stratified Transfer Learning for Cross-domain Activity Recognition.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

EveryLite: A Lightweight Scripting Language for Micro Tasks in IoT Systems.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2017
IEHouse: A non-intrusive household appliance state recognition system.
Proceedings of the 2017 IEEE SmartWorld, 2017

Weak multipath effect identification for indoor distance estimation.
Proceedings of the 2017 IEEE SmartWorld, 2017

PowerAnalyzer: An energy-aware power monitor system aiming at energy-saving.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

The Φ-stack for smart web of things.
Proceedings of the Workshop on Smart Internet of Things, SmartIoT@SEC 2017, 2017


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