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朱海华 (Haihua Zhu)

Chongqing Key Laboratory of Cyberspace Security Monitoring and Governance

H指数:19

被引数:1,491

个人简介

任职于南京航空航天大学机电学院，副教授。2008年本科毕业于南京理工大学机械工程学院；2013年7月在南京理工大学机械制造及其自动化系获得博士学位。2009年10月至2011年9月在英国格林威治大学访学。研究方向为智能制造、数字孪生、物联制造等。主讲《信息化制造技术》《智能制造系统综合实验》等课程。

教育背景

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工作经历

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荣誉奖项

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Embedding customized triggers in frequency domain for simplified and efficient detection of deep neural network backdoors

在频域中嵌入定制化触发器，以简化并高效检测深度神经网络后门

Journal of International Entrepreneurship

IF2.9

2026-07-230

PRE

Vision language model-enhanced embodied intelligence for AR-assisted HRC assembly: Multimodal cognition, task reasoning, and autonomous execution

增强现实辅助人机协作装配中基于视觉语言模型赋能的具身智能：多模态认知、任务推理和自主执行

Journal of Manufacturing Systems

IF14.2

2026-07-090

PRE

Digital-twin-based reinforcement learning method for flexible assembly job-shop scheduling with dynamic material kitting

基于数字孪生的柔性装配作业车间动态物料配给强化学习方法

Computers & Industrial Engineering

IF6.5

2026-02-130

PRE

LLM-enhanced embodied multi-agent manufacturing system: A novel self-organizing production paradigm for embodied perception, embodied analysis and embodied decision

LLM增强型具身多智能体制造系统：一种新型的自组织生产范式，用于具身感知、具身分析和具身决策

Journal of Manufacturing Systems

IF14.2

2025-12-170

PRE

AR-assisted human-robot collaborative assembly system: Integrating visual language model and deep reinforcement learning for task planning and seamless interactive guidance

AR辅助人机协作装配系统：整合视觉语言模型和深度强化学习进行任务规划和无缝交互式引导

Journal of Manufacturing Systems

IF14.2

2025-11-290

PRE

From insight to autonomous execution: VLM-enhanced embodied agents towards digital twin-assisted human-robot collaborative assembly

从洞察到自主执行：基于VLM增强的具身智能体实现数字孪生辅助的人机协作装配

Robotics and Computer-Integrated Manufacturing

IF11.4

2025-11-050

PRE

A Large language model-based multi-agent manufacturing system for intelligent shopfloors

基于大型语言模型的多智能体智能制造系统

Advanced Engineering Informatics

IF9.9

2025-09-180

PRE

Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly

视觉语言模型增强的具身智能用于数字孪生辅助的人机协同装配

Journal of Industrial Information Integration

IF11.6

2025-09-020

PRE

Probing AR-assisted seamless HRC assembly for industry 5.0: Multi-modal mutual cognition and LLM-driven knowledge reasoning

探究AR辅助的无缝人机协作装配在工业5.0中的应用：多模态相互认知和LLM驱动的知识推理

Robotics and Computer-Integrated Manufacturing

IF11.4

2025-08-280

PRE

Confidentiality, integrity, and non-repudiation of automobile event data: a TEE-based secure transmission scheme between automobile and cloud

汽车事件数据的保密性、完整性和不可否认性：一种基于TEE的汽车与云之间的安全传输方案

Cluster Computing

IF0

2025-07-310

PRE

A Self-Supervised Point Cloud Completion Method for Digital Twin Smart Factory Scenario Construction

一种用于数字孪生智能工厂场景构建的自监督点云补全方法

IF2.6

2025-05-090

OA

Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network

提升机床预测性维护：一种集成改进深度自编码器和图注意力网络的双模型方法

COMPUTERS & INDUSTRIAL ENGINEERING

IF6.5

2025-05-010

PRE

A skill vector-based multi-task optimization algorithm for achieving objectives of multiple users in cloud manufacturing

一种基于技能向量的多任务优化算法，用于实现云制造中多个用户的目标

ADVANCED ENGINEERING INFORMATICS

IF9.9

2025-05-010

PRE

An iterated greedy algorithm integrating job insertion strategy for distributed job shop scheduling problems

JOURNAL OF MANUFACTURING SYSTEMS

IF14.2

2024-12-010

PRE

Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning

使用多主体强化学习在自组织制造系统中的协作动态调度

ADVANCED ENGINEERING INFORMATICS

IF9.9

2024-10-016

PRE

Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor

利用深度学习探索基于点云的快速方法，以在车间构建数字孪生模型

ADVANCED ENGINEERING INFORMATICS

IF9.9

2024-10-011

PRE

Video security in logistics monitoring systems: a blockchain based secure storage and access control scheme

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS

IF4.1

2024-07-181

PRE

Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

IF11.4

2024-06-014

PRE

An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

IF11.4

2024-02-011

PRE

An MBD-driven order remaining completion time prediction method based on SSA-BiLSTM in the IoT-enabled manufacturing workshop

基于ssa-bilstm的MBD驱动的物联网制造车间订单剩余完成时间预测方法

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

IF7.3

2023-08-216

PRE