Xingchi Liu

20 papers C 4Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A robotic surgery system for laparoscopic surgery equipped with decoupled motion and distal rotation surgical instruments.
Robotics Auton. Syst.
Xingchi Liu, Xu Jiang, Jianchang Zhao, Bo Yi, Jinhua Li, Shuxin Wang
2026 J jnl
Enhancing telesurgical safety with predictive digital twin synchronization: a framework for latency compensation in robotic surgery.
npj Digit. Medicine
Hang Yuan, Junjie Li, Bo Guan, Guangdi Chu, Wei Jiao, Hongzhi Zheng, Xingchi Liu, Jianchang Zhao, Jinhua Li, Jianmin Li, Xuecheng Yang, Haitao Niu
2026 J jnl
Spatio-temporal deep kernel Gaussian process for state prediction with time series measurements.
Signal Process.
Yifei Zhu, Xingchi Liu, Richard O. Lane, Nidhal Bouaynaya, Lyudmila Mihaylova
2025 — conf
Bayesian Optimisation for Sensor Scheduling and Tracking with Different Acquisition Functions.
SDF
Alicja Szwalek, Xingchi Liu, Chenyi Lyu, Alasdair Hunter, Lyudmila Mihaylova
2024 C conf
Active Sensing for Target Tracking: A Bayesian Optimisation Approach.
FUSION
Xingchi Liu, Lyudmila Mihaylova
2024 J jnl
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.
Zhaoxu Zhang, Xingchi Liu, Jiayi Li, Shihong Fu, Yuanheng Sun, Rongfeng Qiao
2024 C conf
Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup.
FUSION
Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova
2024 J jnl
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks.
CoRR
Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham
2023 J jnl
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks.
IEEE J. Sel. Top. Signal Process.
Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham
2023 J jnl
Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming.
IEEE J. Sel. Areas Commun.
Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan
2022 C conf
A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks.
FUSION
Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova
2022 J jnl
Bayesian Optimisation-Assisted Neural Network Training Technique for Radio Localisation.
CoRR
Xingchi Liu, Peizheng Li, Ziming Zhu
2022 — conf
Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation.
VTC Spring
Xingchi Liu, Peizheng Li, Ziming Zhu
2022 C conf
Efficient Factorisation-based Gaussian Process Approaches for Online Tracking.
FUSION
Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
2022 — conf
Review of Recent Advances in Gaussian Process Regression Methods.
UKCI
Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
2022 — conf
Safety Motion Control and End Force Estimation Based on Angle Information in Robotic Flexible Endoscopy.
ICIRA (3)
Bo Guan, Xingchi Liu, Zhikang Ma, Jianchang Zhao, Yuelin Zou, Jianmin Li
2021 J jnl
Contextual Learning for Content Caching With Unknown Time-Varying Popularity Profiles via Incremental Clustering.
IEEE Trans. Commun.
Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan
2021 — conf
Globally Informative Thompson Sampling for Structured Bandit Problems with Application to CrowdTranscoding.
ICAIIC
Xingchi Liu, Mahsa Derakhshani, Ziming Zhu, Sangarapillai Lambotharan
2021 J jnl
Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds.
IEEE Signal Process. Lett.
Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan, Mihaela van der Schaar
2019 J jnl
Joint Transcoding Task Assignment and Association Control for Fog-Assisted Crowdsourced Live Streaming.
IEEE Commun. Lett.
Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan