Minghao Han

Orcid: 0009-0002-0043-7539

According to our database1, Minghao Han authored at least 45 papers between 2015 and 2025.

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Bibliography

2025
Two-stream MeshCNN for key anatomical segmentation on the liver surface.
Int. J. Comput. Assist. Radiol. Surg., July, 2025

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution.
CoRR, May, 2025

MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning.
CoRR, May, 2025

Neural Stereo Video Compression with Hybrid Disparity Compensation.
CoRR, April, 2025

VLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining.
CoRR, April, 2025

Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System.
CoRR, April, 2025

VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction.
CoRR, March, 2025

Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization.
CoRR, February, 2025

Robust Learning-Based Control for Uncertain Nonlinear Systems With Validation on a Soft Robot.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Lyapunov-based distributed reinforcement learning control with stability guarantee.
Comput. Chem. Eng., 2025

MamKO: Mamba-based Koopman operator for modeling and predictive control.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators.
IEEE Trans. Ind. Informatics, March, 2024

Quantized output-feedback control of piecewise-affine systems with reachable regions of quantized measurements.
Inf. Sci., 2024

Dual knowledge-guided two-stage model for precise small organ segmentation in abdominal CT images.
IET Image Process., 2024

Lyapunov-based reinforcement learning for distributed control with stability guarantee.
CoRR, 2024

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics.
CoRR, 2024

MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning.
CoRR, 2024

Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling.
CoRR, 2024

Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator.
CoRR, 2024

Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes.
Comput. Chem. Eng., 2024

Robust and smooth Couinaud segmentation via anatomical structure-guided point-voxel network.
Comput. Biol. Medicine, 2024

Causal Context Adjustment Loss for Learned Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Data-Driven Economic Predictive Control of Wastewater Treatment Process with Input-Output Koopman Operator.
Proceedings of the American Control Conference, 2024

2023
Reduced-order Koopman modeling and predictive control of nonlinear processes.
Comput. Chem. Eng., November, 2023

Transition-Dependent Bumpless Transfer Control Synthesis of Switched Linear Systems.
IEEE Trans. Autom. Control., March, 2023

Data-Driven Linear Predictive Control of Nonlinear Processes Based on Reduced-Order Koopman Operator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Lightweight nnU-Net Combined with Target Adaptive Loss for Organs and Tumors Segmentation.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

2022
A Survey of Battery-Supercapacitor Hybrid Energy Storage Systems: Concept, Topology, Control and Application.
Symmetry, 2022

A prescriptive Dirichlet power allocation policy with deep reinforcement learning.
Reliab. Eng. Syst. Saf., 2022

Modeling and Control of an Omnidirectional Micro Aerial Vehicle Equipped with a Soft Robotic Arm.
Proceedings of the 5th IEEE International Conference on Soft Robotics, 2022

DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Safe Reinforcement Learning With Stability Guarantee for Motion Planning of Autonomous Vehicles.
IEEE Trans. Neural Networks Learn. Syst., 2021

Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.
Autom., 2021

Poster: A Real-time Social Distance Measurement and Record System for COVID-19.
Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

2020
Actor-Critic Reinforcement Learning for Control With Stability Guarantee.
IEEE Robotics Autom. Lett., 2020

Self-paced and auto-weighted multi-view clustering.
Neurocomputing, 2020

Asynchronous observer design for switched linear systems: a tube-based approach.
IEEE CAA J. Autom. Sinica, 2020

2019
H<sub>∞</sub> Model-free Reinforcement Learning with Robust Stability Guarantee.
CoRR, 2019

2018
Distributed State Estimation of Sensor-Network Systems Subject to Markovian Channel Switching With Application to a Chemical Process.
IEEE Trans. Syst. Man Cybern. Syst., 2018

2017
Semi-time-dependent asynchronously switched control of continuous-time switched systems with persistent dwell time.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Hierarchical Random Walk Inference in Knowledge Graphs.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
Unbalance identification for mainshaft system of 2-DOF precision centrifuge: A displacement sensor-based approach.
Proceedings of the 10th Asian Control Conference, 2015


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