He Kong

Orcid: 0000-0002-1382-4186

According to our database1, He Kong authored at least 52 papers between 2011 and 2024.

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Bibliography

2024
Enhancing fault localization in microservices systems through span-level using graph convolutional networks.
Autom. Softw. Eng., November, 2024

Bifurcation Analysis and Criterion of Voltage Oscillation Induced by Low Voltage Ride Through Control in Renewable Energy Stations.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

SLAM-Based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization.
IEEE Trans. Robotics, 2024

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond.
CoRR, 2024

Asynchronous Microphone Array Calibration using Hybrid TDOA Information.
CoRR, 2024

ScreenAgent: A Vision Language Model-driven Computer Control Agent.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Contrastive Learning for Anomaly Detection in Attributed Networks.
Proceedings of the Intelligent Information Processing XII, 2024

2023
Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+DeepSORT-Vision Transformer.
IEEE Robotics Autom. Mag., December, 2023

Length Modelling of Spiral Superficial Soft Strain Sensors Using Geodesics and Covering Spaces.
Robotics, October, 2023

Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm.
IEEE Trans. Autom. Control., September, 2023

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems With Unknown Inputs.
IEEE Trans. Autom. Control., July, 2023

Flexible model weighting for one-dependence estimators based on point-wise independence analysis.
Pattern Recognit., July, 2023

On embeddings and inverse embeddings of input design for regularized system identification.
Autom., 2023

Noise covariance estimation via autocovariance least-squares with deadbeat filters.
Autom., 2023

Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

SLAM-Based Joint Calibration of Differential RSS Sensor Array and Source Localization.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

A Novel Method with Transformers for Fine-grained Encrypted Traffic Classification.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

2022
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture.
Field Robotics, March, 2022

One-Shot Learning-Based Animal Video Segmentation.
IEEE Trans. Ind. Informatics, 2022

The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares.
Syst. Control. Lett., 2022

Closed-Form Error Propagation on $SE_{n}(3)$ Group for Invariant EKF With Applications to VINS.
IEEE Robotics Autom. Lett., 2022

From undirected dependence to directed causality: A novel Bayesian learning approach.
Intell. Data Anal., 2022

Closed-form Error Propagation on the SE_n(3) Group for Invariant Extended Kalman Filtering with Applications to VINS.
CoRR, 2022

Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs.
Autom., 2022

2021
Necessary and Sufficient Conditions for Observability of SLAM-Based TDOA Sensor Array Calibration and Source Localization.
IEEE Trans. Robotics, 2021

Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics.
Comput. Electron. Agric., 2021

Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation.
Comput. Electron. Agric., 2021

Kalman filtering under unknown inputs and norm constraints.
Autom., 2021

Averaged tree-augmented one-dependence estimators.
Appl. Intell., 2021

Active Information Acquisition under Arbitrary Unknown Disturbances.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Filtering for systems subject to unknown inputs without a priori initial information.
Autom., 2020

Characteristics of PMU Phase Angle Difference Induced by Frequency Deviation of Crystal Oscillator and its Detection Method.
IEEE Access, 2020

A New Robust Identification Method for Transmission Line Parameters Based on ADALINE and IGG Method.
IEEE Access, 2020

Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The orienteering Problem with Replenishment.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
An internal model approach to estimation of systems with arbitrary unknown inputs.
Autom., 2019

Modelling of Uniaxial EGaIn-Based Strain Sensors for Proprioceptive Sensing of Soft Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation.
Proceedings of the International Conference on Robotics and Automation, 2019

Experimental Validation of Structured Receding Horizon Estimation and Control for Mobile Ground Robot Slip Compensation.
Proceedings of the Field and Service Robotics, 2019

2018
Suboptimal receding horizon estimation via noise blocking.
Autom., 2018

Metamorphic moving horizon estimation.
Autom., 2018

2017
A Divide and Conquer Approach to Cooperative Distributed Model Predictive Control.
CoRR, 2017

2014
Robust model predictive control: reflections and opportunities.
J. Control. Decis., 2014

2013
Predictive metamorphic control.
Autom., 2013

Sparse networked control of input constrained linear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A revisit to inverse optimality of linear systems.
Int. J. Control, 2012

2011
Global stabilization of linear systems with bounded controls using state-dependent saturation functions.
J. Syst. Sci. Complex., 2011


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