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2020 – today
- 2024
[j6]Zhaoxu Zhang
, Xingchi Liu, Jiayi Li, Shihong Fu, Yuanheng Sun, Rongfeng Qiao:
Analysis of Spatiotemporal Characteristics and Influencing Factors of Land Urbanization Level in China at Different Scales Based on Nighttime Light Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9811-9827 (2024)- [c8]Xingchi Liu, Lyudmila Mihaylova:
Active Sensing for Target Tracking: A Bayesian Optimisation Approach. FUSION 2024: 1-7 - [c7]Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova:
Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. FUSION 2024: 1-8 - [i2]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks. CoRR abs/2409.07652 (2024) - 2023
- [j5]Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan:
Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. IEEE J. Sel. Areas Commun. 41(3): 740-754 (2023) - [j4]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 17(1): 295-310 (2023) - 2022
- [c6]Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova:
A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. FUSION 2022: 1-8 - [c5]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. FUSION 2022: 1-8 - [c4]Bo Guan, Xingchi Liu, Zhikang Ma, Jianchang Zhao, Yuelin Zou, Jianmin Li:
Safety Motion Control and End Force Estimation Based on Angle Information in Robotic Flexible Endoscopy. ICIRA (3) 2022: 396-408 - [c3]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Review of Recent Advances in Gaussian Process Regression Methods. UKCI 2022: 226-237 - [c2]Xingchi Liu, Peizheng Li, Ziming Zhu:
Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation. VTC Spring 2022: 1-5 - [i1]Xingchi Liu, Peizheng Li, Ziming Zhu:
Bayesian Optimisation-Assisted Neural Network Training Technique for Radio Localisation. CoRR abs/2203.04032 (2022) - 2021
- [j3]Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan, Mihaela van der Schaar:
Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds. IEEE Signal Process. Lett. 28: 269-273 (2021) - [j2]Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan:
Contextual Learning for Content Caching With Unknown Time-Varying Popularity Profiles via Incremental Clustering. IEEE Trans. Commun. 69(5): 3011-3024 (2021) - [c1]Xingchi Liu, Mahsa Derakhshani, Ziming Zhu, Sangarapillai Lambotharan:
Globally Informative Thompson Sampling for Structured Bandit Problems with Application to CrowdTranscoding. ICAIIC 2021: 210-215
2010 – 2019
- 2019
- [j1]Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan:
Joint Transcoding Task Assignment and Association Control for Fog-Assisted Crowdsourced Live Streaming. IEEE Commun. Lett. 23(11): 2036-2040 (2019)
Coauthor Index
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