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邹

邹渊 (Yuan Zou)

Beijing Institute of Technology

H指数:42

被引数:7,154

个人简介

"成果及荣誉 [1] 国防科技进步一等奖（排名 1 ，2 023 年度） [2] 重庆市自然科学一等奖（排名 2 ，2 021 年度） [3] 河南省科技进步二等奖（排名 1 ，2 020 年度） [4] 北京理工大学 “师缘-北理” 学术创新奖（2 022 年度）； [5] 北京理工大学机械与车辆学院最美教师奖（2 023 年度）； [6] 北京理工大学“优秀班主任” 、北京理工大学“优秀共产党员”。"

教育背景

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工作经历

暂无内容

荣誉奖项

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Stability Analysis of Adaptive Cruise Control Based on In-Vehicle Time-Sensitive Networking

基于车载时间敏感型网络的自适应巡航控制稳定性分析

IEEE Internet of Things Journal

IF8.9

2026-11-020

PRE

ProgressiveDrive: Reconciling fidelity and consistency in world models for autonomous driving

ProgressiveDrive：在自动驾驶世界模型中调和保真度与一致性

Expert Systems with Applications

IF7.5

2026-07-010

PRE

Bayesian optimization and early stopping improved a deep learning model for autonomous vehicle roll angle estimation

贝叶斯优化和早停法改进了自动驾驶车辆滚转角估计的深度学习模型

IF3.4

2026-05-230

PRE

Redundancy-based routing and scheduling optimization of in-vehicle Time-Sensitive Networking

基于冗余的路由与调度优化在车辆时间敏感网络中的应用

RELIABILITY ENGINEERING & SYSTEM SAFETY

IF11

2026-03-280

PRE

Attention-enhanced physics-informed long short-term memory for roll angle prediction of intelligent vehicle

注意力增强型物理信息长短期记忆网络用于智能车辆滚转角预测

Engineering Applications of Artificial Intelligence

IF8

2026-03-230

PRE

Task Offloading Algorithm Based on Preference Weight Adaptive Multi-objective Reinforcement Learning for Cloud-Assisted Mobile Edge Computing in Internet of Vehicles

基于偏好权重自适应多目标强化学习的云辅助移动边缘计算车辆互联网任务卸载算法

Automotive Innovation

IF5

2026-01-090

PRE

Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning

基于混合分层深度强化学习的车联网边缘计算网络中智能网联汽车的任务卸载与资源分配

Sensors 2025, Vol. 25, Page 6914

IF3.5

2025-11-180

OAAI

LUOT: LiDAR–UWB Object Tracking With Zero ID Switches and Centimeter-Level Precision

LUOT：具有零ID切换和厘米级精度的LiDAR–UWB目标跟踪

IEEE Internet of Things Journal

IF8.9

2025-11-070

PRE

Optimal charging and discharging strategy for workplace electric vehicle charging stations with renewable energy and power network constraints

考虑可再生能源与电网约束的工作场所电动汽车充电站最优充放电策略

IF9.4

2025-09-140

PRE

Dual-coordinate graph representation with temporal edge encoding for multi-agent trajectory prediction

双坐标图表示与时间边编码在多智能体轨迹预测中的应用

Knowledge-Based Systems

IF7.6

2025-09-080

PRE

Robust optimization-based energy management for dual-APUs heavy-duty hybrid electric vehicles using intention-aware prediction and curiosity-driven control

基于鲁棒优化方法的双APU重型混合动力电动车的意图感知预测与好奇心驱动控制下的能量管理

IF9.4

2025-09-050

PRE

Energy management in HDHEV with dual APUs: Enhancing soft actor-critic using clustered experience replay and multi-dimensional priority sampling

双APU HDHEV的能量管理：利用聚类经验回放和多维优先级采样增强软演员-评论家算法

IF9.4

2025-03-010

PRE

Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework

IEEE INTERNET OF THINGS JOURNAL

IF8.9

2024-12-010

PRE

An improved soft actor-critic-based energy management strategy of heavy-duty hybrid electric vehicles with dual-engine system

IF9.4

2024-11-010

PRE

IRFS: A CQF Scheduling Method Integrating Queue Resources and Flow Features in Time-Sensitive Networking

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

IF7.1

2024-10-010

PRE

Data-driven electric vehicle usage and charging analysis of logistics vehicle in Shenzhen, China

数据驱动的深圳市物流车电动汽车使用与充电分析

IF9.4

2024-10-010

PRE

Combined LKA and DYC Control for Electric Vehicle With a Domain-Centralized E/E Architecture Based on Software-Defined Networking

基于软件定义网络的域集中式E/E架构的电动汽车LKA和DYC组合控制

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION

IF8.3

2024-09-011

PRE

Multitimescale Feature Extraction From Multisensor Data Using Deep Neural Network for Battery State-of-Charge and State-of-Health Co-Estimation

使用深度神经网络从多传感器数据中提取多时间尺度特征，用于电池荷电状态和健康状态的共同估计

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION

IF8.3

2024-09-014

PRE

Optimization Design Framework for In-Vehicle Time-Sensitive Networking Architecture

IEEE INTERNET OF THINGS JOURNAL

IF8.9

2024-08-150

PRE

Graph Attention Network-Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking

基于图注意网络的车载时间敏感网络深度强化学习调度框架

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2024-07-010

PRE