Zhijian He
Orcid: 0000-0002-1735-2331
According to our database1,
Zhijian He authored at least 58 papers
between 2014 and 2026.
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Bibliography
2026
IEEE Robotics Autom. Lett., July, 2026
Consensus-Based Cooperative Control for Connected Vehicle Platoon With Time-Varying Delays and Switching Topologies.
IEEE Trans. Veh. Technol., May, 2026
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation.
Commun. Stat. Simul. Comput., May, 2026
Uncertainty quantification using importance-sampled quasi-Monte Carlo with dimension-independent convergence rates.
CoRR, March, 2026
Invariance on Manifolds: Understanding Robust Visual Representations for Place Recognition.
CoRR, February, 2026
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods.
SIAM J. Sci. Comput., 2026
Pattern Recognit. Lett., 2026
Estimating expected shortfall via Hilbert space-filling curve sampling with confidence intervals.
J. Comput. Appl. Math., 2026
A survey of robotic manipulation: From bottom-up approaches to end-to-end paradigms with LLMs.
Neurocomputing, 2026
Generative Data Augmentation for Few-Shot Steel Surface Defect Detection: A Hybrid Framework and Industrial Implementation.
Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026
2025
The L<sub>p</sub>-error rate for randomized quasi-Monte Carlo self-normalized importance sampling of unbounded integrands.
CoRR, November, 2025
Beyond ADE and FDE: A Comprehensive Evaluation Framework for Safety-Critical Prediction in Multi-Agent Autonomous Driving Scenarios.
CoRR, October, 2025
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration.
ACM Trans. Softw. Eng. Methodol., September, 2025
Quasi-Monte Carlo integration over ℝ<sup>s</sup> with boundary-damping importance sampling.
CoRR, September, 2025
Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-Time.
CoRR, September, 2025
Density estimation via periodic scaled Korobov kernel method with exponential decay condition.
CoRR, June, 2025
Enhanced convergence rates of Adaptive Importance Sampling with recycling schemes via quasi-Monte Carlo methods.
CoRR, May, 2025
Cross-System Anomaly Detection in Deep-Sea Submersibles via Coupled Feature Learning.
Symmetry, 2025
SIAM/ASA J. Uncertain. Quantification, 2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
2024
J. Comput. Appl. Math., June, 2024
Commun. Stat. Simul. Comput., June, 2024
Robust Embedded Autonomous Driving Positioning System Fusing LiDAR and Inertial Sensors.
ACM Trans. Embed. Comput. Syst., January, 2024
Achieving High Convergence Rates by Quasi-Monte Carlo and Importance Sampling for Unbounded Integrands.
SIAM J. Numer. Anal., 2024
CoRR, 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
2023
SIAM J. Numer. Anal., April, 2023
EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
2022
J. Inf. Syst., September, 2022
SIAM J. Sci. Comput., 2022
Sensitivity estimation of conditional value at risk using randomized quasi-Monte Carlo.
Eur. J. Oper. Res., 2022
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Efficient Importance Sampling in Quasi-Monte Carlo Methods for Computational Finance.
SIAM J. Sci. Comput., 2021
Convergence analysis of quasi-Monte Carlo sampling for quantile and expected shortfall.
Math. Comput., 2021
CoRR, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2019
SIAM J. Numer. Anal., 2019
An importance sampling-based smoothing approach for quasi-Monte Carlo simulation of discrete barrier options.
Eur. J. Oper. Res., 2019
Proceedings of the 41st International Conference on Software Engineering, 2019
2018
Attitude Fusion of Inertial and Magnetic Sensor under Different Magnetic Filed Distortions.
ACM Trans. Embed. Comput. Syst., 2018
Quasi-Monte Carlo for discontinuous integrands with singularities along the boundary of the unit cube.
Math. Comput., 2018
2017
A Multi-Quadcopter Cooperative Cyber-Physical System for Timely Air Pollution Localization.
ACM Trans. Embed. Comput. Syst., 2017
Efficient Computation of Option Prices and Greeks by Quasi-Monte Carlo Method with Smoothing and Dimension Reduction.
SIAM J. Sci. Comput., 2017
2016
An auto-realignment method in quasi-Monte Carlo for pricing financial derivatives with jump structures.
Eur. J. Oper. Res., 2016
Evaluation of 3D-CRT, IMRT and VMAT radiotherapy plans for left breast cancer based on clinical dosimetric study.
Comput. Medical Imaging Graph., 2016
2015
SIAM J. Numer. Anal., 2015
IEEE Geosci. Remote. Sens. Lett., 2015
Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, 2015
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015
2014
SIAM J. Sci. Comput., 2014
Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata.
Int. J. Geogr. Inf. Sci., 2014
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014