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Jingda Wu

Associate Professor

Beijing Institute of Technology

Research Interests

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Articles (20)

Collaborators (7)

Henglai Wei

Associate Professor

Beihang University

Wang Yong

Beijing Institute of Technology

Qiao Peng

Queen's University Belfast

UNITED KINGDOM

Kailong Liu

Full Professor

University of Warwick

UNITED KINGDOM

Yifan Zhao

Cranfield University

UNITED KINGDOM

Zhongbao Wei

Beijing Institute of Technology

Shichun Yang

Beihang University

ApplyKite TwinLearns as you apply

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Prepare your application

Review drafts before you send them.

Jingda Wu

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (7)

Henglai Wei

Wang Yong

Qiao Peng

Kailong Liu

Yifan Zhao

Zhongbao Wei

Shichun Yang

Make your next move.

Jingda Wu

Research Interests

Make your next move.

Explore related searches

Articles (20)

Bridging Representation Learning and Optimal Control: Joint Representation–Decision Optimization for FCEV Energy Management

Hierarchical Optimization Strategy for Variable Altitude Net Power of Fuel Cell Systems Considering Intercooler Energy Consumption

Global context alignment and separable fusion for generalizable multi-modal 3D object detection

Q-Advantage Integrated Human-Guided Reinforcement Learning for Safe End-to-End Autonomous Driving

Research on Cooptimal Control Method of Fuel Cell Anode and Cathode Gas for Variable Altitude Reliability Enhancement

Efficient Knowledge-Guided Self-Evolving Intelligent Behavioral Control for Autonomous Vehicles

Enhancing data-driven energy management strategy via digital expert guidance for electrified vehicles

Intelligent EV Charging Control and Management: From Microscale Battery Cell to Macroscale Grid Synergy

Autonomous Driving Economic Car-Following Motion Strategy Based on Adaptive Rollout Model-Based Policy Optimization

Data-driven energy management for electric vehicles using offline reinforcement learning

Proactive Energy Management for Fuel Cell Hybrid Vehicles: An Expert-Guided Slope-Aware Deep Reinforcement Learning Approach

Eco-Driving Strategy for Series Hybrid Electric Vehicle Based on Multi-Objective Deep Reinforcement Learning

Trust-Calibrated Human-in-the-Loop Reinforcement Learning for Safe and Efficient Autonomous Navigation

A Novel Experience Replay-Based Offline Deep Reinforcement Learning for Energy Management of Hybrid Electric Vehicles

Knowledge-Guided Deep Reinforcement Learning for Multiobjective Energy Management of Fuel Cell Electric Vehicles

Research on Steering and Suspension–Integrated Control Based on Robust MPC Considering Road Vibration Prediction

A Novel Real-Time Estimation and Neural Control Method for Automotive PEMFC Air Compressor Based on Simultaneous Coordination of OER and Cathode Pressure

Active Scene Recognition for Domestic Robots: Observing, Moving, and Recognizing

Durability-enhanced decision-making with style awareness for autonomous hydrogen fuel cell vehicle based on integrated reinforcement learning approaches

Enhancing Fuel Cell Electric Vehicle Efficiency With an Information-Bridged Hierarchical Reinforcement Learning Method

Collaborators (7)

Henglai Wei

Wang Yong

Qiao Peng

Kailong Liu

Yifan Zhao

Zhongbao Wei

Shichun Yang

Make your next move.