Jianxin Zhao

According to our database, Jianxin Zhao authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.

Shuang Li, Shugang Li, Mixue Xie, Kaixiong Gong, Jianxin Zhao, Chi Harold Liu, Guoren Wang

IEEE Trans. Knowl. Data Eng., December, 2023

Participant Selection for Federated Learning With Heterogeneous Data in Intelligent Transport System.

Jianxin Zhao, Xinyu Chang, Yanhao Feng, Chi Harold Liu, Ningbo Liu

IEEE Trans. Intell. Transp. Syst., January, 2023

Parallel and Memory-Efficient Distributed Edge Learning in B5G IoT Networks.

Jianxin Zhao, Pierre Vandenhove, Peng Xu, Hao Tao, Liang Wang, Chi Harold Liu, Jon Crowcroft

IEEE J. Sel. Top. Signal Process., January, 2023

Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning.

Jianxin Zhao, Yanhao Feng, Xinyu Chang, Peng Xu, Shilin Li, Chi Harold Liu, Wenke Yu, Jian Tang, Jon Crowcroft

IEEE Trans. Netw. Sci. Eng., 2023

Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.

Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning.

Yu Wang, Jingfei Wu, Xingyuan Hua, Chi Harold Liu, Guozheng Li, Jianxin Zhao, Ye Yuan, Guoren Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving.

Bo Wei, Jianxin Zhao, Yinuo Zhao, Feng Tian

Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

Personalized Multi-task Federated Learning on Non-IID Medical Health Care Data.

Yanhao Feng, Xinyu Chang, Jianxin Zhao

Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

2022

OCaml Scientific Computing - Functional Programming in Data Science and Artificial Intelligence

Liang Wang, Jianxin Zhao, Richard Mortier

Undergraduate Topics in Computer Science, Springer, ISBN: 978-3-030-97644-6, 2022

Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge.

Jianxin Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang

IEEE Trans. Serv. Comput., 2022

Energy-efficient client selection in federated learning with heterogeneous data on edge.

Jianxin Zhao, Yanhao Feng, Xinyu Chang, Chi Harold Liu

Peer-to-Peer Netw. Appl., 2022

Automatic Operator Performance Tumng in a Machine Learning System on Edge.

Peng Xu, Xinyu Chang, Jianxin Zhao, Chi Harold Liu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2019

Optimisation of a modern numerical library: a bottom-up approach.

Jianxin Zhao

PhD thesis, 2019

2018

Building accountability into the Internet of Things: the IoT Databox model.

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

J. Reliab. Intell. Environ., 2018

Data Analytics Service Composition and Deployment on Edge Devices.

Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang

Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

Data Analytics Service Composition and Deployment on IoT Devices.

Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Privacy-Preserving Personal Model Training.

Sandra Servia Rodríguez, Liang Wang, Jianxin Zhao, Richard Mortier, Hamed Haddadi

Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices.

Jianxin Roger Zhao, Richard Mortier, Jon Crowcroft, Liang Wang

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Energy-Efficient Event Detection by Participatory Sensing Under Budget Constraints.

Chi Harold Liu, Jianxin Zhao, Honggang Zhang, Song Guo, Kin K. Leung, Jon Crowcroft

IEEE Syst. J., 2017

User-centric Composable Services: A New Generation of Personal Data Analytics.

Jianxin Zhao, Richard Mortier, Jon Crowcroft, Liang Wang

CoRR, 2017

Personal Model Training under Privacy Constraints.

Sandra Servia Rodríguez, Liang Wang, Jianxin Zhao, Richard Mortier, Hamed Haddadi

CoRR, 2017

2016

Personal Data Management with the Databox: What's Inside the Box?

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

Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, 2016

2015

A Survey of Incentive Mechanisms for Participatory Sensing.

Hui Gao, Chi Harold Liu, Wendong Wang, Jianxin Zhao, Zheng Song, Xin Su, Jon Crowcroft, Kin K. Leung

IEEE Commun. Surv. Tutorials, 2015

Energy-efficient dynamic event detection by participatory sensing.

Jianxin Zhao, Chi Harold Liu, Min Chen, Xue Liu, Kin K. Leung

Proceedings of the 2015 IEEE International Conference on Communications, 2015