Kuo Li

35 papers C 1Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DEPTH: Disentangled embeddings and priors via two-stage heterogeneous-fusion.
Expert Syst. Appl.
Kuo Li, Wei Jin, Nannan Li, Kan Huang
2026 J jnl
Highly maneuvrable quadrotor unmanned aerial vehicle control with unknown disturbances.
Trans. Inst. Meas. Control
Guoyuan Qi, Weipeng You, Kuo Li
2026 J jnl
Observer-Based Event-Triggered Active Disturbance Compensation Control and Its Applications to QUAV.
IEEE Trans. Ind. Electron.
Kuo Li, Guoyuan Qi, Xiaoping Liu, Kun Wang
2025 J jnl
Distributed Parameter Estimation Under Byzantine Nodes in Sensor Networks.
IEEE Trans. Netw. Sci. Eng.
Jiaqi Yan, Kuo Li, Hideaki Ishii
2025 J jnl
Multi-Agent Reinforcement Learning With Decentralized Distribution Correction.
IEEE Trans Autom. Sci. Eng.
Kuo Li, Qing-Shan Jia
2024 J jnl
An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning.
IEEE Trans Autom. Sci. Eng.
Kuo Li, Xinze Jin, Qing-Shan Jia, Dongchun Ren, Huaxia Xia
2024 — conf
BTR-RRT*: Biased Towards Path Reference Points Path Planning.
CACML
Julong Gu, Lingyue Xu, Wu Liu, Xing Huang, Kuo Li
2024 J jnl
Constrained reinforcement learning with statewise projection: a control barrier function approach.
Sci. China Inf. Sci.
Xinze Jin, Kuo Li, Qing-Shan Jia
2024 J jnl
Dual Branch Masked Transformer for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Kuo Li, Yushi Chen, Lingbo Huang
2024 J jnl
Integral Compensation Function Observer and Its Application to Disturbance-Rejection Control of QUAV Attitude.
IEEE Trans. Cybern.
Guoyuan Qi, Jianbing Hu, Liya Li, Kuo Li
2024 J jnl
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data.
IEEE Trans. Big Data
Lu Guo, Limin Wang, Qilong Li, Kuo Li
2024 J jnl
Learning high-dependence Bayesian network classifier with robust topology.
Expert Syst. Appl.
Limin Wang, Lingling Li, Qilong Li, Kuo Li
2024 J jnl
Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Graph Neural Network and Numerical Optimization.
CoRR
Sumin Zhang, Kuo Li, Rui He, Zhiwei Meng, Yupeng Chang, Xiaosong Jin, Ri Bai
2023 J jnl
Exploiting the implicit independence assumption for learning directed graphical models.
Intell. Data Anal.
Limin Wang, Junyang Wei, Kuo Li, Jiaping Zhou
2023 J jnl
IQ-VIO: adaptive visual inertial odometry via interference quantization under dynamic environments.
Intell. Serv. Robotics
Huikun Zhang, Feng Ye, Yizong Lai, Kuo Li, Jinze Xu
2023 J jnl
Learning bayesian multinets from labeled and unlabeled data for knowledge representation.
Intell. Data Anal.
Meng Pang, Limin Wang, Qilong Li, Lu Guo, Kuo Li
2023 C conf
Resilient Distributed Parameter Estimation in Sensor Networks.
ACC
Jiaqi Yan, Kuo Li, Hideaki Ishii
2023 J jnl
Resilient Distributed Parameter Estimation in Sensor Networks.
CoRR
Jiaqi Yan, Kuo Li, Hideaki Ishii
2022 — conf
Bridging Scenarios in Reinforcement Learning with Continuously Generated Relaying Predictive Models.
CASE
Kuo Li, Qing-Shan Jia
2022 J jnl
DenseFilter: Feature Correspondence Filter Based on Dense Networks for VSLAM.
J. Intell. Robotic Syst.
Jinze Xu, Lingfeng Su, Feng Ye, Kuo Li, Yizong Lai
2022 J jnl
Identification of informational and probabilistic independence by adaptive thresholding.
Intell. Data Anal.
Kuo Li, Aimin Wang, Limin Wang, Hangqi Fan, Shuai Zhang
2022 J jnl
Semi-supervised learning for k-dependence Bayesian classifiers.
Appl. Intell.
Limin Wang, Xinhao Zhang, Kuo Li, Shuai Zhang
2022 J jnl
Semi-supervised weighting for averaged one-dependence estimators.
Appl. Intell.
Limin Wang, Shuai Zhang, Musa Mammadov, Kuo Li, Xinhao Zhang, Siyuan Wu
2021 J jnl
An Actor-Critic Method for Simulation-Based Optimization.
CoRR
Kuo Li, Qing-Shan Jia, Jiaqi Yan
2021 J jnl
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method.
CoRR
Kuo Li, Qing-Shan Jia
2021 J jnl
Deep Learning Approach in DOA Estimation: A Systematic Literature Review.
Mob. Inf. Syst.
Shengguo Ge, Kuo Li, Siti Nurulain Binti Mohd Rum
2020 — conf
Decentralized Multi-agent Reinforcement Learning with Multi-time Scale of Decision Epochs.
CDC
Junjie Wu, Kuo Li, Qing-Shan Jia
2020 J jnl
Heading angle estimation using rotating magnetometer for mobile robots under environmental magnetic disturbances.
Intell. Serv. Robotics
Feng Ye, Feng Shi, Yizong Lai, Xinjie Zhou, Kuo Li
2018 J jnl
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg.
Alejandro Granados, Vejay Vakharia, Roman Rodionov, Martin Schweiger, Sjoerd B. Vos, Aidan G. O'Keeffe, Kuo Li, Chengyuan Wu, Anna Miserocchi, Andrew W. McEvoy, Matthew J. Clarkson, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2018 J jnl
EEG-Based Detection of Epileptic Seizures Through the Use of a Directed Transfer Function Method.
IEEE Access
Gang Wang, Doutian Ren, Kuo Li, Dong Wang, Maode Wang, Xiangguo Yan
2018 J jnl
Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function.
IEEE Trans. Biomed. Eng.
Dong Wang, Doutian Ren, Kuo Li, Yiming Feng, Dan Ma, Xiangguo Yan, Gang Wang
2016 J jnl
Epileptic Seizure Detection Based on Partial Directed Coherence Analysis.
IEEE J. Biomed. Health Informatics
Gang Wang, Zhongjiang Sun, Ran Tao, Kuo Li, Gang Bao, Xiangguo Yan
2016 J jnl
Review of the Strain Modulation Methods Used in Fiber Bragg Grating Sensors.
J. Sensors
Kuo Li
2016 J jnl
The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
IEEE J. Biomed. Health Informatics
Gang Wang, Chaolin Teng, Kuo Li, Zhonglin Zhang, Xiangguo Yan
2014 — conf
Cerebral functional connectivity analysis based on scalp EEG in epilepsy patients.
BMEI
Zhongjiang Sun, Gang Wang, Kuo Li, Zhonglin Zhang, Gang Bao