Jianxin Zhao

28 papers A* 2A 1B 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Systematic Literature Review on Vehicular Collaborative Perception - A Computer Vision Perspective.
IEEE Trans. Intell. Transp. Syst.
Lei Wan, Jianxin Zhao, Andreas Wiedholz, Manuel Bied, Mateus Martínez De Lucena, Abhishek Dinkar Jagtap, Andreas Festag, Antônio Augusto Fröhlich, Hannan Ejaz Keen, Alexey Vinel
2025 — conf
Dynamic-PBFT: Enhanced Consensus in Decentralized Federated Averaging for V2V Networks.
VTC2025-Fall
Zhishen Xia, Jianxin Zhao, Alexey Vinel
2025 J jnl
Systematic Literature Review on Vehicular Collaborative Perception - A Computer Vision Perspective.
CoRR
Lei Wan, Jianxin Zhao, Andreas Wiedholz, Manuel Bied, Mateus Martínez De Lucena, Abhishek Dinkar Jagtap, Andreas Festag, Antônio Augusto Fröhlich, Hannan Ejaz Keen, Alexey Vinel
2024 — conf
V2X-Based Decentralized Singular Value Decomposition in Dynamic Vehicular Environment.
ECCV Workshops (8)
Jianxin Zhao, Min-Bin Lin, Alexey Vinel
2023 A* conf
Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning.
ICDE
Yu Wang, Jingfei Wu, Xingyuan Hua, Chi Harold Liu, Guozheng Li, Jianxin Zhao, Ye Yuan, Guoren Wang
2023 J jnl
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.
IEEE Trans. Knowl. Data Eng.
Shuang Li, Shugang Li, Mixue Xie, Kaixiong Gong, Jianxin Zhao, Chi Harold Liu, Guoren Wang
2023 J jnl
Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning.
IEEE Trans. Netw. Sci. Eng.
Jianxin Zhao, Yanhao Feng, Xinyu Chang, Peng Xu, Shilin Li, Chi Harold Liu, Wenke Yu, Jian Tang, Jon Crowcroft
2023 A* conf
Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.
ICDE
Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang
2023 — conf
Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving.
BIGCOM
Bo Wei, Jianxin Zhao, Yinuo Zhao, Feng Tian
2023 J jnl
Parallel and Memory-Efficient Distributed Edge Learning in B5G IoT Networks.
IEEE J. Sel. Top. Signal Process.
Jianxin Zhao, Pierre Vandenhove, Peng Xu, Hao Tao, Liang Wang, Chi Harold Liu, Jon Crowcroft
2023 J jnl
Participant Selection for Federated Learning With Heterogeneous Data in Intelligent Transport System.
IEEE Trans. Intell. Transp. Syst.
Jianxin Zhao, Xinyu Chang, Yanhao Feng, Chi Harold Liu, Ningbo Liu
2023 — conf
Personalized Multi-task Federated Learning on Non-IID Medical Health Care Data.
BIGCOM
Yanhao Feng, Xinyu Chang, Jianxin Zhao
2022 B conf
Automatic Operator Performance Tumng in a Machine Learning System on Edge.
ICPADS
Peng Xu, Xinyu Chang, Jianxin Zhao, Chi Harold Liu
2022 J jnl
Energy-efficient client selection in federated learning with heterogeneous data on edge.
Peer-to-Peer Netw. Appl.
Jianxin Zhao, Yanhao Feng, Xinyu Chang, Chi Harold Liu
2022 J jnl
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge.
IEEE Trans. Serv. Comput.
Jianxin Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang
2022 — book
OCaml Scientific Computing - Functional Programming in Data Science and Artificial Intelligence
Liang Wang, Jianxin Zhao, Richard Mortier
2019 — —
Optimisation of a modern numerical library: a bottom-up approach.
Jianxin Zhao
2018 J jnl
Building accountability into the Internet of Things: the IoT Databox model.
J. Reliab. Intell. Environ.
Andy Crabtree, Tom Lodge, James A. Colley, Chris Greenhalgh, Kevin Glover, Hamed Haddadi, Yousef Amar, Richard Mortier, Qi Li, John Moore, Liang Wang, Poonam Yadav, Jianxin Zhao, Anthony Brown, Lachlan Urquhart, Derek McAuley
2018 — conf
Data Analytics Service Composition and Deployment on Edge Devices.
Big-DAMA@SIGCOMM
Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang
2018 J jnl
Data Analytics Service Composition and Deployment on Edge Devices.
CoRR
Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang
2018 A conf
Data Analytics Service Composition and Deployment on IoT Devices.
MobiSys
Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang
2018 — conf
Privacy-Preserving Personal Model Training.
IoTDI
Sandra Servia Rodríguez, Liang Wang, Jianxin Zhao, Richard Mortier, Hamed Haddadi
2017 J jnl
Energy-Efficient Event Detection by Participatory Sensing Under Budget Constraints.
IEEE Syst. J.
Chi Harold Liu, Jianxin Zhao, Honggang Zhang, Song Guo, Kin K. Leung, Jon Crowcroft
2017 J jnl
Personal Model Training under Privacy Constraints.
CoRR
Sandra Servia Rodríguez, Liang Wang, Jianxin Zhao, Richard Mortier, Hamed Haddadi
2017 J jnl
User-centric Composable Services: A New Generation of Personal Data Analytics.
CoRR
Jianxin Zhao, Richard Mortier, Jon Crowcroft, Liang Wang
2016 — conf
Personal Data Management with the Databox: What's Inside the Box?
CAN@CoNEXT
Richard Mortier, Jianxin Zhao, Jon Crowcroft, Liang Wang, Qi Li, Hamed Haddadi, Yousef Amar, Andy Crabtree, James A. Colley, Tom Lodge, Tosh Brown, Derek McAuley, Chris Greenhalgh
2015 J jnl
A Survey of Incentive Mechanisms for Participatory Sensing.
IEEE Commun. Surv. Tutorials
Hui Gao, Chi Harold Liu, Wendong Wang, Jianxin Zhao, Zheng Song, Xin Su, Jon Crowcroft, Kin K. Leung
2015 — conf
Energy-efficient dynamic event detection by participatory sensing.
ICC
Jianxin Zhao, Chi Harold Liu, Min Chen, Xue Liu, Kin K. Leung