Boli Chen

Orcid: 0000-0001-8793-5746

According to our database1, Boli Chen authored at least 66 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Periodic Event-Triggered Fault Detection for Safe Platooning Control of Intelligent and Connected Vehicles.
IEEE Trans. Veh. Technol., April, 2024

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark.
CoRR, 2024

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
A Hierarchical Robust Control Strategy for Decentralized Signal-Free Intersection Management.
IEEE Trans. Control. Syst. Technol., September, 2023

Fixed-Time Convergent Distributed Observer Design of Linear Systems: A Kernel-Based Approach.
IEEE Trans. Autom. Control., August, 2023

Cyber-Resilient Self-Triggered Distributed Control of Networked Microgrids Against Multi-Layer DoS Attacks.
IEEE Trans. Smart Grid, July, 2023

Distributed Model Predictive Control for Heterogeneous Vehicle Platoon With Inter-Vehicular Spacing Constraints.
IEEE Trans. Intell. Transp. Syst., March, 2023

Optimal Energy Management of Series Hybrid Electric Vehicles With Engine Start-Stop System.
IEEE Trans. Control. Syst. Technol., March, 2023

Event-Triggered Multi-Lane Fusion Control for 2-D Vehicle Platoon Systems With Distance Constraints.
IEEE Trans. Intell. Veh., February, 2023

A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing.
IEEE Trans. Intell. Transp. Syst., January, 2023

Robust Frequency-Adaptive Quadrature Phase-Locked-Loops With Lyapunov-Certified Global Stability.
IEEE Trans. Control. Syst. Technol., 2023

Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space.
CoRR, 2023

A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles.
CoRR, 2023

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark.
CoRR, 2023

A Multi-Modal Geographic Pre-Training Method.
CoRR, 2023

MGeo: Multi-Modal Geographic Language Model Pre-Training.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Robust Model Predictive Control Framework for Ecological Adaptive Cruise Control Strategy of Electric Vehicles.
Proceedings of the IEEE International Conference on Mechatronics, 2023

Distributed finite-time observer for LTI systems: A kernel-based approach.
Proceedings of the European Control Conference, 2023

A Plane-Based LiDAR Odometry Method for Man-Made Scene.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robust Adaptive Learning-Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments.
IEEE Trans. Intell. Transp. Syst., 2022

Exponential Modulation Integral Observer for Online Detection of the Fundamental and Harmonics in Grid-Connected Power Electronics Equipment.
IEEE Trans. Control. Syst. Technol., 2022

Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification.
Neural Process. Lett., 2022

A Computationally Efficient Robust Model Predictive Control Framework for Ecological Adaptive Cruise Control Strategy of Electric Vehicles.
CoRR, 2022

Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC.
CoRR, 2022

Tube-based Distributed Model Predictive Control for Heterogeneous Vehicle Platoons via Convex Optimization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

AISHELL-NER: Named Entity Recognition from Chinese Speech.
Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Model Predictive Control Framework for Energy-Optimal Adaptive Cruise Control of Battery Electric Vehicles.
Proceedings of the European Control Conference, 2022

Parameter Estimation for a Sinusoidal Signal with a Time-Varying Amplitude.
Proceedings of the European Control Conference, 2022

Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Enhanced Eco-Approach Control of Connected Electric Vehicles at Signalized Intersection With Queue Discharge Prediction.
IEEE Trans. Veh. Technol., 2021

Barrier Lyapunov function-based adaptive fuzzy attitude tracking control for rigid satellite with input delay and output constraint.
J. Frankl. Inst., 2021

Resilient Distributed Self-Triggered Control of Networked Systems under Hybrid DoS Attacks.
CoRR, 2021

Probing BERT in Hyperbolic Spaces.
Proceedings of the 9th International Conference on Learning Representations, 2021

Optimal Energy Management for Fuel and Emissions Minimization of Series Hybrid Electric Vehicles with Consideration of Engine Preheating.
Proceedings of the 2021 European Control Conference, 2021

Decentralized Model Predictive Control for Automated and Connected Electric Vehicles at Signal-free Intersections.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Joint Propulsion and Cooling Energy Management of Hybrid Electric Vehicles by Optimal Control.
IEEE Trans. Veh. Technol., 2020

Event-triggered distributed MPC for voltage control of an islanded microgrid.
CoRR, 2020

Optimal Motion Control for Connected and Automated Electric Vehicles at Signal-Free Intersections.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust Frequency-Adaptive PLL with Lyapunov Stability Guarantees.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Hyperbolic Capsule Networks for Multi-Label Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Hyperbolic Interaction Model for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hybrid Electric Vehicle Two-Step Fuel Efficiency Optimization With Decoupled Energy Management and Speed Control.
IEEE Trans. Veh. Technol., 2019

Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification.
CoRR, 2019

Identification of multi-sinusoidal signals with direct frequency estimation: An adaptive observer approach.
Autom., 2019

Robust deadbeat continuous-time observer design based on modulation integrals.
Autom., 2019

Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach.
Autom., 2019

Globally-stable tracking and estimation for single-phase electrical signals with DC-offset rejection.
Proceedings of the IECON 2019, 2019

Truncated Battery Power Following Strategy for Energy Management Control of Series Hybrid Electric Vehicles.
Proceedings of the 17th European Control Conference, 2019

Label-Specific Document Representation for Multi-Label Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals.
IEEE Trans. Autom. Control., 2018

Impact of Optimally Controlled Continuously Variable Transmission on Fuel Economy of a Series Hybrid Electric Vehicle.
Proceedings of the 16th European Control Conference, 2018

2017
Robust finite-time estimation of biased sinusoidal signals: A volterra operators approach.
Autom., 2017

2016
A deadbeat estimator-based fault isolation scheme for nonlinear systems.
Proceedings of the 15th European Control Conference, 2016

Estimation of multi-sinusoidal signals: A deadbeat methodology.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
The modulation integral observer for linear continuous-time systems.
Proceedings of the 14th European Control Conference, 2015

Deadbeat kernel-based frequency estimation of a biased sinusoidal signal.
Proceedings of the 14th European Control Conference, 2015

Semi-global direct estimation of multiple frequencies with an adaptive observer having minimal parameterization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Frequency estimation of periodic signals: An adaptive observer approach.
Proceedings of the American Control Conference, 2015

2014
An Adaptive Observer-Based Switched Methodology for the Identification of a Perturbed Sinusoidal Signal: Theory and Experiments.
IEEE Trans. Signal Process., 2014

Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties.
IEEE Trans. Autom. Control., 2014

Sinusoidal signal estimation from a noisy-biased measurement by an enhanced PLL with generalized error filtering.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Robust parametric estimation of biased sinusoidal signals: A parallel pre-filtering approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

An adaptive observer-based estimator for multi-sinusoidal signals.
Proceedings of the American Control Conference, 2014

2013
Adaptive observer-based sinusoid identification: Structured and bounded unstructured measurement disturbances.
Proceedings of the 12th European Control Conference, 2013

A nonlinear adaptive observer with excitation-based switching.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


  Loading...