Dezong Zhao
@glasgow.ac.uk
University of Glasgow
Scopus Publications
- Trustworthy text-to-image diffusion models: A timely and focused survey
Yi Zhang, Zhen Chen, Chih-Hong Cheng, Wenjie Ruan, Xiaowei Huang, Dezong Zhao, David Flynn, Siddartha Khastgir, Xingyu Zhao
Information Fusion, 2026
• First comprehensive survey dedicated to the non-functional properties of text-to-image diffusion models (T2I DMs). • A concise taxonomy covering non-functional properties, study means, benchmarks, and applications. • Systematic analysis of 96 papers, including definitions, metrics, and methodological comparisons. • Summary of benchmarks and real-world applications relevant to trustworthy T2I DMs. • Identification of key research gaps and future directions, with an accompanying up-to-date GitHub repository. Text-to-Image (T2I) Diffusion Models (DMs) have garnered widespread attention for their impressive advancements in image generation. However, their growing popularity has raised ethical and social concerns related to key non-functional properties of trustworthiness, such as robustness, fairness, security, privacy, and explainability, similar to those in traditional deep learning (DL) tasks. Conventional approaches for studying trustworthiness in DL tasks often inadequate for T2I DMs because of their unique characteristics, e.g., multi-modal nature, stochastic generation process, and high computational cost. Given these challenge, recent efforts have been made to develop new methods for investigating trustworthiness in T2I DMs via various means, including falsification, enhancement, verification and assessment. However, there is a notable lack of in-depth analysis concerning those non-functional properties and means. In this survey, we provide a timely and focused review of the literature on trustworthy T2I DMs, covering a concise-structured taxonomy from the perspectives of property, means, benchmarks and applications. Our review begins with an introduction to essential preliminaries of T2I DMs, and then we summarize key definitions and metrics specific to T2I tasks, based on which we analyze the corresponding means in recent literature. Additionally, we review benchmarks and domain applications of T2I DMs. Finally, we highlight the gaps in current research, discuss the limitations of existing methods, and propose future research directions to advance the development of trustworthy T2I DMs. Furthermore, we keep up-to-date updates in this field to track the latest developments and maintain our GitHub repository at: https://github.com/wellzline/Trustworthy_T2I_DMs . - Thermoelectric generator integrated in a range extender engine: experimental demonstration, thermal matching mechanisms, and additive fuel-economy gains
Song Lan, Ruhai Jiang, Zhixiong Zhang, Ning Zhang, Dezong Zhao
Energy Conversion and Management, 2026 - Closed-loop feedback optimization for autonomous vehicles using deep reinforcement learning
Sifan Wu, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao, Daxin Tian
Expert Systems with Applications, 2026 - Feature transfer and fuzzy clustering for bearing degradation prediction under complex operating conditions
Zeyu Zhang, Ziliang Wu, Jizhuang Hui, Yu Duan, Ze Shi, Dezong Zhao, Yumeng Zhu
Results in Engineering, 2026
• Transfer of bearing features across different environments. • Proposes new degradation features to measure the degree of bearing degradation. • Prediction of bearing degradation using feature transfer and fuzzy clustering. Bearing degradation prediction is essential for ensuring the reliable and efficient operation of rotating machinery, enabling timely fault diagnosis and maintenance scheduling. However, under complex operating conditions, variations in load and environment often lead to significant distribution discrepancies between laboratory and engineering data, thereby degrading prediction accuracy. Therefore, a degradation prediction method integrating transfer learning and fuzzy clustering is proposed. First, kurtosis and waveform index are identified as key degradation indicators through correlation analysis, enhancing feature representativeness while reducing redundancy. Subsequently, two semi-supervised domain adaptation methods, namely Transfer Component Analysis (TCA) and Correlation Alignment (CORAL), are employed to transfer and align features from laboratory bearings to wind turbine bearings. Finally, fuzzy c-means clustering is applied to determine cluster centers corresponding to healthy and faulty states, and the degradation degree is quantified based on the distance between the transferred features and these centers. Experimental results demonstrate that the proposed method achieves an RMSE of 0.0580 and an MAE of 0.0451, outperforming BP, LSTM, TCA, and CORAL methods. In addition, t-SNE visualization and statistical metrics confirm that the proposed approach effectively improves cross-domain feature alignment. Further validation on the XJTU-SY dataset demonstrates its robustness and generalization capability. - NavDrive: Safety-Enhanced End-to-End Autonomous Driving With Navigation-Guided Diffusion Policy
Hongbo Yin, Daxin Tian, Jianshan Zhou, Xuting Duan, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2026
Automated vehicles (AVs) are transforming urban transportation systems, as end-to-end autonomous driving models show great promise in enhancing traffic safety and operational efficiency. Despite these advances, their performance in highly interactive driving scenarios remains limited due to insufficient decision-making diversity and the absence of explicit safety guarantees. To address these challenges, we propose NavDrive, a safety-enhanced end-to-end autonomous driving framework that formulates planning as a multi-modal generative process.Specifically, NavDrive integrates navigation-based guidance into a diffusion policy. To focus on decision-critical information, a Decision-Aware Channel Fusion (DCF) module adaptively emphasizes regions involving key interactions between the ego vehicle and surrounding agents. Furthermore, a safety-aware generative planner refines trajectory samples toward feasible regions via the Target-Prior Diffusion Transformer (TDiT), which explicitly embeds physical constraints to ensure safe and human-aligned driving behaviors. Extensive experiments on the NAVSIM and nuScenes benchmarks demonstrate that NavDrive consistently outperforms existing baselines, delivering substantial gains in planning quality, safety, and robustness under complex and adverse conditions. The details will be available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/zgchongbo/NavDrive</uri> - Safe Tactical Decision-Making for Autonomous Vehicles Considering Uncertainties in Deep Learning-Based Visual Perception
Dachuan Li, Zijian Huang, Qi Hao, Dezong Zhao, Weipeng Cao, Amr Tolba, Joel J. P. C. Rodrigues
IEEE Transactions on Vehicular Technology, 2026
Tactical decision-making plays a key role in ensuring the operational safety of autonomous vehicle (AV) systems. Recent environment perception techniques are built upon the deep learning (DL) approaches and utilize probabilistic representations to quantitatively capture the inherent uncertainties in networks. The downstream decision-making module shall utilize the perceived probabilistic information to derive proper maneuver decisions. However, how to translate the uncertainties of DL between the two stages to manage the risk remains an open problem. This paper proposes a holistic and interpretable framework that can explicitly represent uncertainties of DL-based perception and generate safe maneuvers by accounting for such uncertainties. By quantifying and propagating uncertainties of perceptions networks, an explicit link is established between DL perception uncertainty and safety utility of decision-making via the Adaptive Likelihood mechanism. Built on this basis, we propose an uncertainty-aware decision-making approach (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">PUALD-Net</i>) that can incorporates both regression and classification perception uncertainties into probabilistic reasoning and derive risk-bounding decisions. Real-world field test results demonstrate that the proposed framework can effectively ensure safety, and outperforms existing approaches in terms of safety and driving capability metrics (Infraction Rate and Driving Score) in adverse scenarios incurring high perception uncertainties. - Co-Design of Bandwidth-Awareness Scheduling Protocol and Vehicular Platoon Control Subject to DoS Attacks Over VANETs
Cong Huang, Yinbo Gu, Dezong Zhao, Zhiquan Liu, Quan Shi
IEEE Transactions on Automation Science and Engineering, 2026
This paper deals with the dynamic event-triggered platoon control problem for automated vehicles subject to denial-of-service attacks over the resource-constrained vehicular adhoc networks. A unified framework is established where the longitudinal dynamics of linearized third-order vehicular platoon, the constant time headway strategy as well as the resource-constrained communication are simultaneously considered. For the resource-efficient purpose, a dynamic event-triggered mechanism is developed where the triggering thresholds are adaptively adjusted based on a bandwidth-awareness parameter α as well as the state variables to trade a balance between communication efficiency and control performance. Furthermore, a set of Bernoulli random variables are introduced to describe the nature of denial-of-service attacks. The main objective of this paper is to co-design a dynamic event-triggered mechanism and a platoon controller to ensure exponential mean-square stability and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i>∞ performance under resource-limited networks and denial-of-service attacks. With the aid of the established Lyapunov function, the sufficient condition of the desired platoon controller is designed, and then the corresponding parameters are derived by recurring to a set of linear matrix inequalities. Finally, a 6 vehicles platoon is employed to validate effectiveness of the developed co-design scheme. - Hierarchical Multi-Agent MCTS for Safety-Critical Coordination in Mixed-Autonomy Roundabouts
Zhihao Lin, Jianglin Lan, Shuo Liu, Zhen Tian, Dezong Zhao, Chongfeng Wei
IEEE Transactions on Vehicular Technology, 2026
Navigating unsignalized roundabouts in mixed-autonomy traffic presents significant challenges due to dense vehicle interactions, lane-changing complexities, and behavioral uncertainties of human-driven vehicles (HDVs). This paper proposes a safety-critical decision-making framework for connected and automated vehicles (CAVs) navigating dual-lane roundabouts alongside HDVs. We formulate the problem as a multi-agent Markov Decision Process and develop a hierarchical safety assessment mechanism that evaluates three critical interaction types: CAV-to-CAV (C2C), CAV-to-HDV (C2H), and CAV-to-Boundary (C2B). A key contribution is our lane-specific uncertainty model for HDVs, which captures distinct behavioral patterns between inner and outer lanes, with outer-lane vehicles exhibiting $2.3\times$ higher uncertainty due to less constrained movements. We integrate this safety framework with a multi-agent Monte Carlo Tree Search (MCTS) algorithm that employs safety-aware pruning to eliminate high-risk trajectories while maintaining computational efficiency. The reward function incorporates Shapley value-based credit assignment to balance individual performance with group coordination. Extensive simulation results validate the effectiveness of the proposed approach under both fully autonomous (100% AVs) and mixed traffic (50% AVs + 50% HDVs) conditions. Compared to benchmark methods, our framework consistently reduces trajectory deviations across all AVs and significantly lowers the rate of Post-Encroachment Time (PET) violations, achieving only 1.0% in the fully autonomous scenario and 3.2% in the mixed traffic setting. - Safety-Enhanced Trajectory Planning for Autonomous Vehicles: Optimization Based on Dynamic Safety Corridors
Chen Shao, Daxin Tian, Xuting Duan, Qi Wang, Jianshan Zhou, Dezong Zhao
IEEE Transactions on Vehicular Technology, 2026
In complex traffic environments, autonomous vehicles must simultaneously cope with multi-source potential risks arising from road boundaries, lane structures, and both dynamic and static traffic participants. These risks interact and overlap across spatial and temporal dimensions, increasing the safety challenges of trajectory planning. Existing methods face limitations in handling high-dimensional obstacle avoidance constraints and dynamic environmental factors, often resulting in degraded trajectory quality and reduced safety. To overcome these challenges, this paper proposes a safety-enhanced trajectory planning method, which improves trajectory quality through the recursive generation of the Spatio-Temporal Risk Map (STRM) and the Dynamic Safety Corridor (DSC). First, based on potential field theory, a risk modeling approach is applied to various traffic elements, such as road boundaries, lane markings, and both dynamic and static obstacles, to generate the STRM, thereby mapping the traffic environment information into a unified risk space. Subsequently, a method for constructing the DSC is proposed, considering boundary risk thresholds. This approach effectively decouples the relationship between complex environmental factors and driving tasks, thereby simplifying collision constraints. Finally, an Optimal Control Problem (OCP) is formulated, taking into account factors such as trajectory smoothness, comfort, and collision risk, in order to generate safe optimized trajectories. The effectiveness of the proposed method in various multi-lane scenarios was evaluated through simulation experiments. The results show that the proposed method significantly enhances the safety of trajectory planning, especially in highly dynamic and high-risk environments. - Enhancing Data Efficiency With a Trustworthy Counterfactual Generative Model
Zhaoan Ye, Dezong Zhao, Li Zhang, Xidong Yan, Qinglin Bi, Wenjing Zhao, David Flynn
IEEE Transactions on Industrial Informatics, 2026
Leveraging limited data to synthesize an additional training set is essential for robotic vision, particularly in dynamic environments where collecting large datasets is impractical. Traditional robotic vision systems rely on extensive training data for object recognition and scene understanding but struggle to generalize to real-world variations, such as lighting conditions, occlusions, and sensor noise. This article proposes causal diffuse variational autoencoder (causal DiffuseVAE), a novel method integrating causal inference with high-fidelity image synthesis to generate counterfactual images. By combining the disentanglement properties of variational autoencoders (VAEs) with the generative capabilities of diffusion models, causal DiffuseVAE produces realistic, interpretable simulations of variations, such as shadows and occlusions. This combination enables data-efficient generative modeling by learning from small subsets and synthesizing missing or unseen samples. In addition, causal inference ensures that generated data follow real-world dependencies, making it robust and interpretable for deployment in unpredictable environments. Four baseline approaches are evaluated across six different datasets, demonstrating that causal DiffuseVAE consistently outperforms the four baseline approaches. - Evaluating Scenario-Based Decision-Making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Zhen Tian, Zhihao Lin, Dezong Zhao, Wenjing Zhao, David Flynn, Shuja Ansari, Chongfeng Wei
IEEE Transactions on Intelligent Transportation Systems, 2026 - Balanced Exploration and Attention-Inspired Decision Making for Autonomous Driving
Zhen Tian, Dezong Zhao, Zhihao Lin, Wenjing Zhao, David Flynn, Daxin Tian, Yao Sun
IEEE Transactions on Vehicular Technology, 2026 - Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach
Peiyu Zhang, Daxin Tian, Jianshan Zhou, Mai Chang, Xuting Duan, Dezong Zhao, Dongpu Cao, Vicor C.M. Leung
IEEE Transactions on Intelligent Vehicles, 2026 - SEMPose: A single end-to-end network for multi-object pose estimation
Xin Liu, Hao Wang, Shibei Xue, Dezong Zhao
Neurocomputing, 2025 - Effects of early notifications on driver responses to lateral collision warnings
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N.N. Sze, Song Wang
Accident Analysis and Prevention, 2025 - Cluster search optimisation of deep neural networks for audio emotion classification
Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao
Knowledge Based Systems, 2025 - String stability under general topologies for CAVs: A coupled sliding surface-based distributed TMPC approach
Xuan Wang, Hongmao Qin, Yougang Bian, Dezong Zhao, Nan Zheng
Transportation Research Part E Logistics and Transportation Review, 2025 - Dynamic Game-Theoretical Decision-Making Framework for Vehicle-Pedestrian Interaction With Human Bounded Rationality
Meiting Dang, Dezong Zhao, Yafei Wang, Chongfeng Wei
IEEE Transactions on Intelligent Transportation Systems, 2025 - Enhancing Negotiation Policies via Spatio-Temporal Directed Graphs for Autonomous Interaction
Fan Guo, Chuyu Ma, Dezong Zhao, Guochen Liu, Kang Song
IEEE Transactions on Automation Science and Engineering, 2025 - Uncertainty-Aware Roundabout Navigation: A Switched Decision Framework Integrating Stackelberg Games and Dynamic Potential Fields
Zhihao Lin, Zhen Tian, Jianglin Lan, Dezong Zhao, Chongfeng Wei
IEEE Transactions on Vehicular Technology, 2025 - A Hierarchical Optimal Control for Synchronous and Precise Arrival of Virtual Coupling Trains under Disturbances
Jiawei Li, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Conference on Intelligent Transportation Systems Proceedings ITSC, 2025 - Causal VAE-DM: Trustworthy Generative Modeling for Image Modification Based on Causal Graphs
Zhaoan Ye, Dezong Zhao, Li Zhang, Wenjing Zhao, David Flynn, Chongfeng Wei
Proceedings 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops Icdcsw 2025, 2025 - Efficient and Energy-Saving Cooperative Motion Planning for Multiple Connected and Autonomous Vehicles at Unsignalized Intersections
Qi Wang, Daxin Tian, Xuting Duan, Guochang Qi, Jianshan Zhou, Dezong Zhao
IEEE Transactions on Intelligent Transportation Systems, 2025 - Joint Prediction of Intention and Trajectory in Automated Driving Using Interactive Dynamic Bayesian Network
Jinbo Hao, Fan Guo, Dezong Zhao, Yun Chen, Kang Song, Hui Xie
IEEE Transactions on Vehicular Technology, 2025 - Adversarial Swarm Learning for Robust Equivalent Consumption Minimization of Electrified Vehicles
Quan Zhou, Bin Xu, Jianyi Tian, Cetengfei Zhang, Dezong Zhao, Yuanjian Zhang
IEEE Transactions on Transportation Electrification, 2025 - CUDA-X: Unsupervised Domain-Adaptive Vehicle-to-Everything Collaboration via Knowledge Transfer and Alignment
Hongbo Yin, Daxin Tian, Chunmian Lin, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Neural Networks and Learning Systems, 2025 - Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications
Chengsi Liang, Hongyang Du, Yao Sun, Dusit Niyato, Jiawen Kang, Dezong Zhao, Muhammad Ali Imran
IEEE Transactions on Cognitive Communications and Networking, 2025 - Game Theory-Based Harmonious Decision-Making for Autonomous Bus Lane Change
Fan Guo, Xiao Han, Kang Song, Kaichen Jiang, Dezong Zhao, Jinbo Hao, Caimei Wang, Hui Xie
IEEE Transactions on Intelligent Transportation Systems, 2025 - An MPC-Based Distributed Bidirectional Control Strategy for Virtual Coupling With Unreliable Train-to-Train Communications
Jiawei Li, Daxin Tian, Jianshan Zhou, Xuting Duan, Jie Zhang, Zhengguo Sheng, Dezong Zhao, Dongpu Cao
IEEE Internet of Things Journal, 2025 - Efficient Robust Model Predictive Control for Behaviorally Stable Vehicle Platoons
Peiyu Zhang, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Dongpu Cao, Luzheng Bi
IEEE Transactions on Intelligent Transportation Systems, 2025 - DMP: Difference-Guided Motion Prediction for Vision-Centric Autonomous Driving
Yanyan Chen, Chunmian Lin, Xuting Duan, Jianshan Zhou, Kan Guo, Dezong Zhao, Dongpu Cao, Daxin Tian
IEEE Transactions on Intelligent Transportation Systems, 2025 - Efficient and Balanced Exploration-Driven Decision Making for Autonomous Racing Using Local Information
Zhen Tian, Dezong Zhao, Zhihao Lin, Wenjing Zhao, David Flynn, Yuande Jiang, Daxin Tian, Yuanjian Zhang, Yao Sun
IEEE Transactions on Intelligent Vehicles, 2025 - Decision Making of Automated Vehicles in Mixed Environment Based on Bayesian Sequential Games
Harikrishnan Vijayakumar, Dezong Zhao, Jianglin Lan, Wenjing Zhao, David Flynn, Dachuan Li, Quan Zhou, Yuanjian Zhang, Kang Song
IEEE Transactions on Intelligent Transportation Systems, 2025 - A comprehensive design pipeline for FCEV powertrain configuration considering the evolutionary development process and extreme economic performance
Di Zhao, Liang Chu, Zhuoran Hou, Quan Zhou, Yonggang Liu, Yanjun Huang, Zheng Chen, Dezong Zhao, Yuanjian Zhang
Energy, 2024 - A novel learning-based robust model predictive control strategy and case study for application in optimal control of FCEVs
Di Zhao, Shibo Li, Liang Chu, Zhuoran Hou, Quan Zhou, Yonggang Liu, Yanjun Huang, Zheng Chen, Dezong Zhao, Yuanjian Zhang
Energy, 2024 - Driving Segment Embedding and Patterns Dictionary Generation from Real-World Data Using Self-Supervised Learning
Yuande Jiang, Dezong Zhao, Bing Zhu, Zhanwen Liu, Xiangmo Zhao
Automotive Innovation, 2024 - Distributed Robust UAVs Formation Control Based on Semidefinite Programming
Peiyu Zhang, Jianshan Zhou, Daxin Tian, Xuting Duan, Dezong Zhao, Kan Guo
Tsinghua Science and Technology, 2024 - Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N.N. Sze, Mohammed Quddus, Helai Huang, Xiangmo Zhao
Accident Analysis and Prevention, 2024 - Video Deepfake classification using particle swarm optimization-based evolving ensemble models
Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao
Knowledge Based Systems, 2024 - Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction
Fangzhou Zhao, Yao Sun, Lei Feng, Lan Zhang, Dezong Zhao
IEEE Communications Letters, 2024 - Continuous Decision-Making in Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: A Risk-Aware Reinforcement Learning Approach with Task Decomposition
Sifan Wu, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Vehicles, 2024 - Developing a new integrated advanced driver assistance system in a connected vehicle environment
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N.N. Sze, Mohammed Quddus, Helai Huang
Expert Systems with Applications, 2024 - V2VFormer: Vehicle-to-Vehicle Cooperative Perception with Spatial-Channel Transformer
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Vehicles, 2024 - V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer
Hongbo Yin, Daxin Tian, Chunmian Lin, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2024 - Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning
Jincheng Hu, Yang Lin, Jihao Li, Zhuoran Hou, Liang Chu, Dezong Zhao, Quan Zhou, Jingjing Jiang, Yuanjian Zhang
Energy Conversion and Management, 2024 - Lite-HRPE: A 6DoF Object Pose Estimation Method for Resource-Limited Platforms
Xin Liu, Qi Guan, Shibei Xue, Dezong Zhao
IEEE International Conference on Control and Automation Icca, 2024 - Adaptive Dual-Channel Event-Triggered Fuzzy Control for Autonomous Underwater Vehicles With Multiple Obstacles Environment
Shang Liu, Ronghui Zhang, Dezong Zhao, Houbing Song
IEEE Transactions on Intelligent Transportation Systems, 2024 - Implicit Scene Context-Aware Interactive Trajectory Prediction for Autonomous Driving
Wenxing Lan, Dachuan Li, Qi Hao, Dezong Zhao, Bin Tian
IEEE Transactions on Intelligent Vehicles, 2024 - Safe Motion Planning for Autonomous Vehicles by Quantifying Uncertainties of Deep Learning-Enabled Environment Perception
Dachuan Li, Bowen Liu, Zijian Huang, Qi Hao, Dezong Zhao, Bin Tian
IEEE Transactions on Intelligent Vehicles, 2024 - A Distributionally Robust Optimization Model for Vehicle Platooning Under Stochastic Disturbances
Peiyu Zhang, Daxin Tian, Jianshan Zhou, Xuting Duan, Dezong Zhao, Dongpu Cao
IEEE Transactions on Vehicular Technology, 2024 - Balanced Reward-inspired Reinforcement Learning for Autonomous Vehicle Racing
Proceedings of Machine Learning Research, 2024 - Efficient Robust Control of Mixed Platoon for Improving Fuel Economy and Ride Comfort
Peiyu Zhang, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Dongpu Cao
IEEE Transactions on Vehicular Technology, 2024 - A Spatial-State-Based Omni-Directional Collision Warning System for Intelligent Vehicles
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N.N. Sze, Mohammed Quddus, Helai Huang
IEEE Transactions on Intelligent Transportation Systems, 2024 - Distributed Robust Model Predictive Control for Virtual Coupling Under Structural and External Uncertainty
Jiawei Li, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2024 - Robust Neural Control for Distributed Formation of UAVs Under Uncertain Disturbances
Chenwei Li, Ailing Xie, Jianshan Zhou, Daxin Tian, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Caixia Lu
Lecture Notes in Electrical Engineering, 2024 - A Holistic Safe Planner for Automated Driving Considering Interaction with Human Drivers
Harikirshnan Vijayakumar, Dezong Zhao, Jianglin Lan, Wenjing Zhao, Daxin Tian, Dachuan Li, Quan Zhou, Kang Song
IEEE Transactions on Intelligent Vehicles, 2024 - Neural Inference Search for Multiloss Segmentation Models
Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao
IEEE Transactions on Neural Networks and Learning Systems, 2024 - 3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Neural Networks and Learning Systems, 2023 - Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach
Peiyu Zhang, Jianshan Zhou, Daxin Tian, Xuting Duan, Kaige Qu, Dezong Zhao, Zhengguo Sheng, Pinlong Cai, Victor C.M. Leung
Divanet 2023 Proceedings of the International ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2023 - Finding the LQR Weights to Ensure the Associated Riccati Equations Admit a Common Solution
Jianglin Lan, Dezong Zhao
IEEE Transactions on Automatic Control, 2023 - Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach
Longbo Cheng, Zixuan Xu, Jianshan Zhou, Daxin Tian, Xuting Duan, Kaige Qu, Dezong Zhao
Electronics Switzerland, 2023 - Probabilistic Approach for Road-Users Detection
Gledson Melotti, Weihao Lu, Pedro Conde, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida
IEEE Transactions on Intelligent Transportation Systems, 2023 - A Safe Decision Making Framework for Automated Vehicle Navigation among Human Drivers
Harikirshnan Vijayakumar, Dezong Zhao, Jianglin Lan, Wenjing Zhao, Daxin Tian, Yuanjian Zhang
IFAC Papersonline, 2023 - Cooperative power management for range extended electric vehicle based on internet of vehicles
Yuanjian Zhang, Bingzhao Gao, Jingjing Jiang, Chengyuan Liu, Dezong Zhao, Quan Zhou, Zheng Chen, Zhenzhen Lei
Energy, 2023 - Data-Driven Robust Predictive Control for Mixed Vehicle Platoons Using Noisy Measurement
Jianglin Lan, Dezong Zhao, Daxin Tian
IEEE Transactions on Intelligent Transportation Systems, 2023 - Structurally Optimized Neural Fuzzy Modeling for Model Predictive Control
Xiaoyan Hu, Yu Gong, Dezong Zhao, Wen Gu
IEEE Transactions on Industrial Informatics, 2023 - Effects of collision warning characteristics on driving behaviors and safety in connected vehicle environments
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N.N. Sze, Helai Huang
Accident Analysis and Prevention, 2023 - Joint Optimization of Platoon Control and Resource Scheduling in Cooperative Vehicle-Infrastructure System
Peiyu Zhang, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Vehicles, 2023 - Safe and robust data-driven cooperative control policy for mixed vehicle platoons
Jianglin Lan, Dezong Zhao, Daxin Tian
International Journal of Robust and Nonlinear Control, 2023 - Improving 3D Vulnerable Road User Detection With Point Augmentation
Weihao Lu, Dezong Zhao, Cristiano Premebida, Li Zhang, Wenjing Zhao, Daxin Tian
IEEE Transactions on Intelligent Vehicles, 2023 - A Cooperation-Aware Lane Change Method for Automated Vehicles
Zihao Sheng, Lin Liu, Shibei Xue, Dezong Zhao, Min Jiang, Dewei Li
IEEE Transactions on Intelligent Transportation Systems, 2023 - DA-RDD: Toward Domain Adaptive Road Damage Detection Across Different Countries
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2023 - Eco-Driving of General Mixed Platoons With CAVs and HDVs
Jinsong Yang, Dezong Zhao, Jianglin Lan, Shibei Xue, Wenjing Zhao, Daxin Tian, Quan Zhou, Kang Song
IEEE Transactions on Intelligent Vehicles, 2023 - Trajectory Planning for Autonomous Overtaking on Curved Roads with Avoidance of Human Driving Vehicles and Static Obstacles
Chen Shao, Xuting Duan, Jianshan Zhou, Dezong Zhao
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - Coverage Capacity Optimization of UAV-enabled Networks
Mingxi Yang, Jianshan Zhou, Daxin Tian, Xuting Duan, Dezong Zhao
Proceedings 2023 International Symposium on Intelligent Robotics and Systems Isoirs 2023, 2023 - A Less-Disturbed Ecological Driving Strategy for Connected and Automated Vehicles
Jinsong Yang, Dezong Zhao, Jingjing Jiang, Jianglin Lan, Byron Mason, Daxin Tian, Liang Li
IEEE Transactions on Intelligent Vehicles, 2023 - Motion Planning and Control of Quadrotor Based on MPC in Frenet Frame
Zixuan Xu, Jianshan Zhou, Daxin Tian, Xuting Duan, Kaigui Qu, Dezong Zhao, Zhengguo Sheng, Junda Zhai
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - A Decentralized Cooperative Coverage Control for Networked Multiple UAVs Based on Deep Reinforcement Learning
Longbo Cheng, Guixian Qu, Jianshan Zhou, Dezong Zhao, Kaige Qu, Zhengguo Sheng, Junda Zhai, Chenghao Ren
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - Secure UAV Computation Offloading with Intelligent Reflecting Surface
Yankai Zhang, Jianshan Zhou, Guixian Qu, Xuting Duan, Kaige Qu, Dezong Zhao, Zhengguo Sheng, Victor C. M. Leung
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - Nonlinear System Identification for Quadrotors with Neural Ordinary Differential Equations
Mingqian Wang, Jianshan Zhou, Xuting Duan, Dezong Zhao, Pinlong Cai, Junda Zhai, Xinyu Liu, Chenghao Ren
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - Delay-Optimal Cooperative Vehicle-Infrastructure Computing with IRS-Enhanced Secure Wireless Communications
Xu Han, Jianshan Zhou, Daxin Tian, Xuting Duan, Kaige Qu, Pinlong Cai, Dezong Zhao, Zhengguo Sheng
Proceedings of 2023 IEEE International Conference on Unmanned Systems Icus 2023, 2023 - Two-stage eco-driving control strategy for heterogeneous connected and automated vehicle platoons
Journal of Automotive Safety and Energy, 2022 - CL3D: Camera-LiDAR 3D Object Detection With Point Feature Enhancement and Point-Guided Fusion
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2022 - Robust Min-Max Model Predictive Vehicle Platooning With Causal Disturbance Feedback
Jianshan Zhou, Daxin Tian, Zhengguo Sheng, Xuting Duan, Guixian Qu, Dezong Zhao, Dongpu Cao, Xuemin Shen
IEEE Transactions on Intelligent Transportation Systems, 2022 - SA-YOLOv3: An Efficient and Accurate Object Detector Using Self-Attention Mechanism for Autonomous Driving
Daxin Tian, Chunmian Lin, Jianshan Zhou, Xuting Duan, Yue Cao, Dezong Zhao, Dongpu Cao
IEEE Transactions on Intelligent Transportation Systems, 2022 - A Multi-Vehicle Longitudinal Trajectory Collision Avoidance Strategy Using AEBS with Vehicle-Infrastructure Communication
Ronghui Zhang, Kening Li, Yueying Wu, Dezong Zhao, Zhihan Lv, Fuliang Li, Xia Chen, Zhijun Qiu, Fan Yu
IEEE Transactions on Vehicular Technology, 2022 - Autonomous On-ramp Merge Strategy Using Deep Reinforcement Learning in Uncertain Highway Environment
Sifan Wu, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao
Proceedings of 2022 IEEE International Conference on Unmanned Systems Icus 2022, 2022 - Neural Mixed Platoon Controller Design
Ailing Xie, Jianshan Zhou, Daxin Tian, Xuting Duan, Zhengguo Sheng, Dezong Zhao
Proceedings of 2022 IEEE International Conference on Unmanned Systems Icus 2022, 2022 - Performance Analysis of Velocity Perturbation Control in Mixed Platoons with Connected Autonomous and Human-Driven Vehicles
Xuting Duan, Yihan Zhao, Haiying Xia, Jianshan Zhou, Long Zhang, Dezong Zhao
Proceedings of 2022 IEEE International Conference on Unmanned Systems Icus 2022, 2022 - Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression
Quan Zhou, Yanfei Li, Dezong Zhao, Ji Li, Huw Williams, Hongming Xu, Fuwu Yan
Applied Energy, 2022 - Knowledge Implementation and Transfer with an Adaptive Learning Network for Real-Time Power Management of the Plug-in Hybrid Vehicle
Quan Zhou, Dezong Zhao, Bin Shuai, Yanfei Li, Huw Williams, Hongming Xu
IEEE Transactions on Neural Networks and Learning Systems, 2021 - Robust model predictive control for nonlinear parameter varying systems without computational delay
Jianglin Lan, Dezong Zhao
International Journal of Robust and Nonlinear Control, 2021 - Comparative Analysis & Modelling for Riders' Conflict Avoidance Behavior of E-Bikes and Bicycles at Un-Signalized Intersections
Ling Huang, Jianping Wu, Ronghui Zhang, Dezong Zhao, Yinhai Wang
IEEE Intelligent Transportation Systems Magazine, 2021 - Modified Particle Swarm Optimization with Chaotic Attraction Strategy for Modular Design of Hybrid Powertrains
Quan Zhou, Yinglong He, Dezong Zhao, Ji Li, Yanfei Li, Huw Williams, Hongming Xu
IEEE Transactions on Transportation Electrification, 2021 - A Dynamic Model Averaging for the Discovery of Time-Varying Weather-Cycling Patterns
Guanying Jiang, Ronghui Zhang, Xiaobo Qu, Dezong Zhao
IEEE Transactions on Intelligent Transportation Systems, 2021 - Semantic Feature Mining for 3D Object Classification and Segmentation
Weihao Lu, Dezong Zhao, Cristiano Premebida, Wen-Hua Chen, Daxin Tian
Proceedings IEEE International Conference on Robotics and Automation, 2021 - Joint Optimization of Resource Scheduling and Mobility for UAV-Assisted Vehicle Platoons
Yang Liu, Jianshan Zhou, Daxin Tian, Zhengguo Sheng, Xuting Duan, Guixian Qu, Dezong Zhao
IEEE Vehicular Technology Conference, 2021 - A Linear Quadratic Gaussian Optimal Control Approach for Train Platoon Formation
Daxin Tian, Jiawei Li, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Wei Hao, Kejun Long
Proceedings of 2021 IEEE International Conference on Unmanned Systems Icus 2021, 2021 - Implementing Trajectory Tracking Control Algorithm for Autonomous Vehicles
Xuting Duan, Qi Wang, Daxin Tian, Jianshan Zhou, Jian Wang, Zhengguo Sheng, Dezong Zhao, Yafu Sun
Proceedings of 2021 IEEE International Conference on Unmanned Systems Icus 2021, 2021 - Optimal Control of Mixed Platoons with Autonomous and Human-Driven Vehicles
Daxin Tian, Peiyu Zhang, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Mianfeng Lin, Lei Li
Proceedings of 2021 IEEE International Conference on Unmanned Systems Icus 2021, 2021 - Robust Distributed Time-Varying Vehicle Formation Control under Switching Topologies and External Disturbances
Yanmin Shao, Daxin Tian, Jianshan Zhou, Xuting Duan, Guixian Qu, Zhengguo Sheng, Dezong Zhao, Yun Xiong, Shengmin Guo
Proceedings of 2021 IEEE International Conference on Unmanned Systems Icus 2021, 2021 - Min-Max Model Predictive Vehicle Platooning with Communication Delay
Jianglin Lan, Dezong Zhao
IEEE Transactions on Vehicular Technology, 2020 - A data-driven operational integrated driving behavioral model on highways
Ling Huang, Hengcong Guo, Ronghui Zhang, Dezong Zhao, Jianping Wu
Neural Computing and Applications, 2020 - Robust Cooperative Adaptive Cruise Control of Vehicles on Banked and Curved Roads with Sensor Bias
Jianglin Lan, Dezong Zhao, Daxin Tian
Proceedings of the American Control Conference, 2020 - A game-based computation offloading method in vehicular multiaccess edge computing networks
Yunpeng Wang, Ping Lang, Daxin Tian, Jianshan Zhou, Xuting Duan, Yue Cao, Dezong Zhao
IEEE Internet of Things Journal, 2020 - Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control
Dezong Zhao, Richard Stobart, Byron Mason
IEEE Transactions on Industrial Electronics, 2020 - Low-Latency Robust MPC for CACC under Variable Road Geometry
Jianglin Lan, Dezong Zhao, Daxin Tian
IFAC Papersonline, 2020 - Local linear model tree with optimized structure
Xiaoyan Hu, Yu Gong, Dezong Zhao, Wen Gu
IFAC Papersonline, 2020 - Research on large deflection deformation reconstruction of elastic thin plate based on strain monitoring
Wenrui Wang, Yu Lu, Dezong Zhao, Jiaming Zhang, Xuesong Bai
Measurement Journal of the International Measurement Confederation, 2020 - Optimising the energy efficiency and transient response of diesel engines through an electric turbocharger
Dezong Zhao, Richard Stobart, Byron Mason
Proceedings of the American Control Conference, 2019 - Real-time modelling and parallel optimisation of a gasoline direct injection engine
Wen Gu, Dezong Zhao, Byron Mason
Proceedings of the American Control Conference, 2019 - Real time energy management of electrically turbocharged engines based on model learning
Dezong Zhao, Wen Gu, Byron Mason
SAE Technical Papers, 2019 - A Review of Intelligent Road Preview Methods for Energy Management of Hybrid Vehicles
Wen Gu, Dezong Zhao, Byron Mason
IFAC Papersonline, 2019 - Investigation on the cooperative grasping capabilities of human thumb and index finger
Xiaojing Chen, Zhiguo Li, Yuqing Wang, Jizhan Liu, Dezong Zhao
Frontiers in Neurorobotics, 2019 - An Integrated Framework on Characterization, Control, and Testing of an Electrical Turbocharger Assist
Dezong Zhao, Edward Winward, Zhijia Yang, Richard Stobart, Byron Mason, Thomas Steffen
IEEE Transactions on Industrial Electronics, 2018 - The Potential of Thermoelectric Generator in Parallel Hybrid Vehicle Applications
Song Lan, Cedric Rouaud, Richard Stobart, Rui Chen, Zhijia Yang, Dezong Zhao
SAE Technical Papers, 2017 - Characterisation, control, and energy management of electrified turbocharged diesel engines
Dezong Zhao, Edward Winward, Zhijia Yang, Richard Stobart, Thomas Steffen
Energy Conversion and Management, 2017 - Robust control of electrified turbocharged diesel engines
Dezong Zhao, Edward Winward, Zhijia Yang, Richard Stobart, Thomas Steffen
2016 IEEE 55th Conference on Decision and Control Cdc 2016, 2016 - Quality assessment metric of stereo images considering cyclopean integration and visual saliency
Jiachen Yang, Yafang Wang, Baihua Li, Wen Lu, Qinggang Meng, Zhihan Lv, Dezong Zhao, Zhiqun Gao
Information Sciences, 2016 - Decoupling control of electrified turbocharged diesel engines
Dezong Zhao, Edward Winward, Zhijia Yang, Richard Stobart, Thomas Steffen
Proceedings of the American Control Conference, 2016 - Control-Oriented Dynamics Analysis for Electrified Turbocharged Diesel Engines
Dezong Zhao, Edward Winward, Zhijia Yang, John Rutledge, Richard Stobart
SAE Technical Papers, 2016 - Modelling the Exhaust Gas Recirculation Mass Flow Rate in Modern Diesel Engines
Zhijia Yang, Edward Winward, Gary O'Brien, Richard Stobart, Dezong Zhao
SAE Technical Papers, 2016 - Three-Input-Three-Output Air Path Control System of a Heavy-Duty Diesel Engine
Z. Yang, E. Winward, D. Zhao, R. Stobart
IFAC Papersonline, 2016 - Real-Time Optimal Energy Management of Electrified Engines
Dezong Zhao, Edward Winward, Zhijia Yang, Richard Stobart, Thomas Steffen
IFAC Papersonline, 2016 - Performance testing of an electrically assisted turbocharger on a heavy duty diesel engine
12th International Conference on Turbochargers and Turbocharging 2016, 2016 - Real-Time Energy Management for Diesel Heavy Duty Hybrid Electric Vehicles
Dezong Zhao, Richard Stobart, Guangyu Dong, Edward Winward
IEEE Transactions on Control Systems Technology, 2015 - Systematic control on Energy recovery of electrified turbocharged diesel engines
Dezong Zhao, Richard Stobart
Proceedings of the IEEE Conference on Decision and Control, 2015 - Fuzzy speed control of networked motion control systems
Shangmin Zhang, Dezong Zhao, Chunwen Li, Richard Stobart
Journal of Computational and Nonlinear Dynamics, 2015 - Integrated feedback scheduling and control codesign for motion coordination of networked induction motor systems
Dezong Zhao, Qingqing Ding, Shangmin Zhang, Chunwen Li, Richard Stobart
Mathematical Problems in Engineering, 2014 - An explicit model predictive control framework for turbocharged diesel engines
Dezong Zhao, Cunjia Liu, Richard Stobart, Jiamei Deng, Edward Winward, Guangyu Dong
IEEE Transactions on Industrial Electronics, 2014 - Scheduling and control co-design of networked induction motor control systems
Dezong Zhao, Shangmin Zhang, Chunwen Li, Richard Stobart
2013 IEEE International Conference on Information and Automation Icia 2013, 2013 - Real-time optimal energy management of heavy duty hybrid electric vehicles
Dezong Zhao, Richard Stobart
SAE International Journal of Alternative Powertrains, 2013 - Study of the phase-varying mechanisms of ion current signals for combustion phasing in a gasoline HCCI engine
Guangyu Dong, Liguang Li, Zhijun Wu, Zhiyong Zhang, Dezong Zhao
Fuel, 2013 - Hierarchical modeling and speed control of networked induction motor systems
Dezong Zhao, Chunwen Li, Richard Stobart
Proceedings of the American Control Conference, 2013 - Explicit model predictive control on the air path of turbocharged diesel engines
Dezong Zhao, Cunjia Liu, Richard Stobart, Jiamei Deng, Edward Winward
Proceedings of the American Control Conference, 2013 - Fuzzy speed control and stability analysis of a networked induction motor system with time delays and packet dropouts
Dezong Zhao, Chunwen Li, Jun Ren
Nonlinear Analysis Real World Applications, 2011 - Speed synchronization of multi induction motors with total sliding mode control
Weifa Peng, Dezong Zhao
Asia Pacific Power and Energy Engineering Conference Appeec, 2010 - Speed synchronisation of multiple induction motors with adjacent cross-coupling control
D.Z. Zhao, C.W. Li, J. Ren
Iet Control Theory and Applications, 2010 - Induction motor control strategy based on full order adaptive speed observer
Xitong Fangzhen Xuebao Journal of System Simulation, 2009 - Total sliding mode speed synchronization control of multi induction motors
Xitong Gongcheng Lilun Yu Shijian System Engineering Theory and Practice, 2009 - Linearizing control of induction motor based on networked control systems
Jun Ren, Chun-Wen Li, De-Zong Zhao
International Journal of Automation and Computing, 2009 - CAN-based synchronized motion control for induction motors
Jun Ren, Chun-Wen Li, De-Zong Zhao
International Journal of Automation and Computing, 2009 - H∞ robust control of induction motors based on networked control systems
Qinghua Daxue Xuebao Journal of Tsinghua University, 2009 - Speed synchronization of multiple induction motors with adjacent cross coupling control
Dezong Zhao, Chunwen Li, Jun Ren
Proceedings of the IEEE Conference on Decision and Control, 2009 - Synchronized sliding-mode control for multi-induction motors based on adjacent cross-coupling
Dianji Yu Kongzhi Xuebao Electric Machines and Control, 2008 - Fault-tolerant control of networked control system with time-varying transmission times
Jun Ren, Chun-Wen Li, De-Zong Zhao
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics Icmlc 2007, 2007 - An induction motor control strategy with full order speed observer
Proceedings of the Eight IASTED International Conference on Control and Applications, 2006 - Robust sliding-mode control strategy of a speed sensorless induction machine
Zhongguo Dianji Gongcheng Xuebao Proceedings of the Chinese Society of Electrical Engineering, 2006
RECENT SCHOLAR PUBLICATIONS
- Thermoelectric Generator Integrated in a Range Extender Engine: Experimental Demonstration, Thermal Matching Mechanisms, and Additive Fuel-Economy Gains
S Lan, R Jiang, Z Zhang, N Zhang, D Zhao
Energy Conversion and Management , 2026
2026 - Adaptive Bias Adjustment of Event Cameras for Pose Estimation
X Tao, D Zhao
IFAC World Congress , 2026
2026 - Causal DiffuseLLM: Text-Driven Causal Representation Learning for Counterfactual Image Generation
Z Ye, D Zhao, W Zhao, S Xue, D Flynn
IFAC World Congress , 2026
2026 - Hierarchical Multi-Agent MCTS for Safety-Critical Coordination in Mixed-Autonomy Roundabouts
Z Lin, J Lan, S Liu, Z Tian, D Zhao, C Wei
IEEE Transactions on Vehicular Technology , 2026
2026
Citations: 4 - Feature Transfer and Fuzzy Clustering for Bearing Degradation Prediction under Complex Operating Conditions
Z Zhang, Z Wu, J Hui, Y Duan, Z Shi, D Zhao, Y Zhu
Results in Engineering , 2026
2026 - Safety-Enhanced Trajectory Planning for Autonomous Vehicles: Optimization Based on Dynamic Safety Corridors
S Chen, D Tian, X Duan, Q Wang, J Zhou, D Zhao
IEEE Transactions on Vehicular Technology , 2026
2026 - Co-Design of Bandwidth-Awareness Scheduling Protocol and Vehicular Platoon Control Subject to DoS Attacks Over VANETs
C Huang, Y Gu, D Zhao, Z Liu, Q Shi
IEEE Transactions on Automation Science and Engineering , 2026
2026 - Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey
Y Zhang, Z Chen, CH Cheng, W Ruan, X Huang, D Zhao, D Flynn, ...
Information Fusion , 2026
2026
Citations: 7 - Closed-loop Feedback Optimization for Autonomous vehicles Using Deep Reinforcement Learning
S Wu, D Tian, X Duan, J Zhou, D Zhao, D Cao
Expert Systems With Applications , 2026
2026 - Efficient Visuo-tactile Learning via Fine-grained Alignment and Importance-aware Token Retention
J Ruan, L Wu, D Zhao, F Guo, W Zhao, D Flynn
IEEE International Conference on Acoustics, Speech, and Signal Processing , 2026
2026 - Enhancing Data Efficiency with a Trustworthy Counterfactual Generative Model
Z Ye, D Zhao, L Zhang, X Yan, Q Bi, W Zhao, D Flynn
IEEE Transactions on Industrial Informatics , 2026
2026 - NavDrive: Safety-enhanced End-to-end Autonomous Driving with Navigation-guided Diffusion Policy
H Yin, D Tian, J Zhou, X Duan, D Zhao, D Cao
IEEE Transactions on Intelligent Transportation Systems , 2025
2025 - Uncertainty-Aware Roundabout Navigation: A Switched Decision Framework Integrating Stackelberg Games and Dynamic Potential Fields
Z Lin, Z Tian, J Lan, D Zhao, C Wei
IEEE Transactions on Vehicular Technology , 2025
2025
Citations: 35 - A Hierarchical Optimal Control for Synchronous and Precise Arrival of Virtual Coupling Trains Under Disturbances
J Li, D Tian, X Duan, J Zhou, D Zhao, D Cao
2025 IEEE 28th International Conference on Intelligent Transportation … , 2025
2025 - Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Z Tian, Z Lin, D Zhao, W Zhao, D Flynn, S Ansari, C Wei
IEEE Transactions on Intelligent Transportation Systems , 2025
2025
Citations: 86 - A MPC-based Distributed Bidirectional Control Strategy for Virtual Coupling with Unreliable Train-to-Train Communications
J Li, D Tian, J Zhou, X Duan, J Zhang, Z Sheng, D Zhao, D Cao
IEEE Internet of Things Journal , 2025
2025
Citations: 1 - Safety-critical multi-agent mcts for mixed traffic coordination at unsignalized roundabout
Z Lin, S Liu, Z Tian, D Zhao, J Lan
arXiv e-prints, arXiv: 2509.01856 , 2025
2025
Citations: 6 - A risk-aware spatial-temporal trajectory planning framework for autonomous vehicles using qp-mpc and dynamic hazard fields
Z Tian, Z Lin, D Zhao, C Anagnostopoulos, Q Wang, W Zhao, X Wang, ...
arXiv preprint arXiv:2509.00643 , 2025
2025
Citations: 9 - Safe Tactical Decision-making for Autonomous Vehicles Considering Uncertainties in Deep Learning-based Visual Perception
D Li, Z Huang, D Zhao, W Cao, A Tolba, J Rodrigues
IEEE Transactions on Vehicular Technology , 2025
2025
Citations: 1 - SEMPose: A Single End-to-end Network for Multi-object Pose Estimation
X Liu, H Wang, S Xue, D Zhao
Neurocomputing , 2025
2025
Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
- A Game-based Computation Offloading Method in Vehicular Multi-access Edge Computing Networks
Y Wang, P Lang, D Tian, J Zhou, X Duan, Y Cao, D Zhao
IEEE Internet of Things Journal , 2020
2020
Citations: 323 - Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications
C Liang, H Du, Y Sun, D Niyato, J Kang, D Zhao, M Imran
IEEE Transactions on Cognitive Communications and Networking , 2024
2024
Citations: 211 - Real-Time Energy Management for Diesel Heavy Duty Hybrid Electric Vehicles
D Zhao, R Stobart, G Dong, E Winward
IEEE Transactions on Control Systems Technology , 2015
2015
Citations: 137 - Speed synchronization of multiple induction motors with adjacent cross coupling control
D Zhao, C Li, J Ren
IET Control Theory and Applications 4 (1), 119-128 , 2010
2010
Citations: 136 - Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle
Q Zhou, D Zhao, B Shuai, Y Li, H Williams, H Xu
IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5298-5308 , 2021
2021
Citations: 120 - Data-driven robust predictive control for mixed vehicle platoons using noisy measurement
J Lan, D Zhao, D Tian
IEEE Transactions on Intelligent Transportation Systems 24 (6), 6586-6596 , 2021
2021
Citations: 106 - Robust min-max model predictive vehicle platooning with causal disturbance feedback
J Zhou, D Tian, Z Sheng, X Duan, G Qu, D Zhao, D Cao, X Shen
IEEE Transactions on Intelligent Transportation Systems 23 (9), 15878-15897 , 2022
2022
Citations: 97 - Min-max model predictive vehicle platooning with communication delay
J Lan, D Zhao
IEEE Transactions on Vehicular Technology 69 (11), 12570-12584 , 2020
2020
Citations: 97 - Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression
Q Zhou, Y Li, D Zhao, J Li, H Williams, H Xu, F Yan
Applied energy 305, 117853 , 2022
2022
Citations: 91 - Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Z Tian, Z Lin, D Zhao, W Zhao, D Flynn, S Ansari, C Wei
IEEE Transactions on Intelligent Transportation Systems , 2025
2025
Citations: 86 - SA-YOLOv3: An efficient and accurate object detector using self-attention mechanism for autonomous driving
D Tian, C Lin, J Zhou, X Duan, Y Cao, D Zhao, D Cao
IEEE Transactions on Intelligent Transportation Systems 23 (5), 4099-4110 , 2022
2022
Citations: 83 - An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines
D Zhao, C Liu, R Stobart, J Deng, E Winward, G Dong
IEEE Transactions on Industrial Electronics , 2014
2014
Citations: 81 - Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning
J Hu, Y Lin, J Li, Z Hou, L Chu, D Zhao, Q Zhou, J Jiang, Y Zhang
Energy Conversion and Management 300, 117964 , 2023
2023
Citations: 79 - V2VFormer++: Multi-modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer
H Yin, D Tian, C Lin, X Duan, J Zhou, D Zhao, D Cao
IEEE Transactions on Intelligent Transportation Systems , 2023
2023
Citations: 78 - Joint Optimization of Platoon Control and Resource Scheduling in Cooperative Vehicle-Infrastructure System
P Zhang, D Tian, J Zhou, X Duan, Z Sheng, D Zhao, D Cao
IEEE Transactions on Intelligent Vehicles , 2023
2023
Citations: 76 - CL3D: Camera-LiDAR 3D object detection with point feature enhancement and point-guided fusion
C Lin, D Tian, X Duan, J Zhou, D Zhao, D Cao
IEEE Transactions on Intelligent Transportation Systems 23 (10), 18040-18050 , 2022
2022
Citations: 70 - Eco-Driving of General Mixed Platoons with CAVs and HDVs
J Yang, D Zhao, J Lan, S Xue, W Zhao, D Tian, Q Zhou, K Song
IEEE Transactions on Intelligent Vehicles , 2022
2022
Citations: 64 - 3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving
C Lin, D Tian, X Duan, J Zhou, D Zhao, D Cao
IEEE Transactions on Neural Networks and Learning Systems , 2022
2022
Citations: 55 - DA-RDD: Towards Domain Adaptive Road Damage Detection across Different Countries
C Lin, D Tian, X Duan, J Zhou, D Zhao, D Cao
IEEE Transactions on Intelligent Transportation Systems , 2022
2022
Citations: 50 - V2VFormer: Vehicle-to-Vehicle Cooperative Perception with Spatial-Channel Transformer
C Lin, D Tian, X Duan, J Zhou, D Zhao, D Cao
IEEE Transactions on Intelligent Vehicles , 2024
2024
Citations: 48
