Jia Hu
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View article: A Geospatially Encoded Dual-Channel Network with Attention and Physics Constraints for Accurate Seafloor Topography Reconstruction
A Geospatially Encoded Dual-Channel Network with Attention and Physics Constraints for Accurate Seafloor Topography Reconstruction Open
Mapping seafloor topography is of great significance for deep-sea navigation, marine resource exploration, and aquatic ecosystem conservation. Advances in bathymetric surveying technology have progressively enriched our understanding of th…
View article: Domain-enhanced dual-branch model for efficient and interpretable accident anticipation
Domain-enhanced dual-branch model for efficient and interpretable accident anticipation Open
View article: Tunable magnon-phonon cavity via structural phase transition
Tunable magnon-phonon cavity via structural phase transition Open
Strong coupling between two quantized excitations in a cavity has the potential to lead to hybridized states that bestow novel quantum phenomena as required for emerging applications. In particular, tunable hybrid magnon-phonon cavities wi…
View article: Diagnostic performance of ultrasound characteristics-based artificial intelligence models for thyroid nodules: a systematic review and meta-analysis
Diagnostic performance of ultrasound characteristics-based artificial intelligence models for thyroid nodules: a systematic review and meta-analysis Open
Background Nowadays, artificial intelligence (AI) diagnostic models based on ultrasound features have been gradually integrated into the evaluation of thyroid nodules. However, the diagnostic effects of different AI-assisted diagnosis meth…
View article: Reinforcement Learning with Rubric Anchors
Reinforcement Learning with Rubric Anchors Open
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a powerful paradigm for enhancing Large Language Models (LLMs), exemplified by the success of OpenAI's o-series. In RLVR, rewards are derived from verifiable signals-such…
View article: Distributed Quantized Average Consensus in Open Multi-Agent Systems with Dynamic Communication Links
Distributed Quantized Average Consensus in Open Multi-Agent Systems with Dynamic Communication Links Open
In this paper, we focus on the distributed quantized average consensus problem in open multi-agent systems consisting of communication links that change dynamically over time. Open multi-agent systems exhibiting the aforementioned characte…
View article: Effects of land use change on ecosystem service value under different scenarios in the Guangdong-Hong Kong-Macao Greater Bay area
Effects of land use change on ecosystem service value under different scenarios in the Guangdong-Hong Kong-Macao Greater Bay area Open
Assessing ecosystem service value (ESV) across scenarios offers vital decision-making references for ecosystem management. This study estimated the 2030 ESVs of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), an area with severe ecol…
View article: Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation
Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation Open
Developing precise and computationally efficient traffic accident anticipation system is crucial for contemporary autonomous driving technologies, enabling timely intervention and loss prevention. In this paper, we propose an accident anti…
View article: Soft Actor-Critic with Backstepping-Pretrained DeepONet for control of PDEs
Soft Actor-Critic with Backstepping-Pretrained DeepONet for control of PDEs Open
This paper develops a reinforcement learning-based controller for the stabilization of partial differential equation (PDE) systems. Within the soft actor-critic (SAC) framework, we embed a DeepONet, a well-known neural operator (NO), which…
View article: Insights into integrated CO2 capture and utilization coupled with biomass oxidative pyrolysis
Insights into integrated CO2 capture and utilization coupled with biomass oxidative pyrolysis Open
View article: Research and Prospects of Digital Twin-Based Fault Diagnosis of Electric Machines
Research and Prospects of Digital Twin-Based Fault Diagnosis of Electric Machines Open
This paper focuses on the application of digital twins in the field of electric motor fault diagnosis. Firstly, it explains the origin, concept, key technology and application areas of digital twins, compares and analyzes the advantages an…
View article: On the Construction of Cultivating Model and Enhancement Strategies for University Teachers' TPACK Competency in the Context of Educational Informatization
On the Construction of Cultivating Model and Enhancement Strategies for University Teachers' TPACK Competency in the Context of Educational Informatization Open
With the rapid development of information technology, educational informatization has become a significant trend in global educational reform. As the primary practitioners of educational informatization, the level of university teachers' i…
View article: A Survey on the Current Status of Informatization Teaching Ability of University Teachers in Hunan Province based on TPACK
A Survey on the Current Status of Informatization Teaching Ability of University Teachers in Hunan Province based on TPACK Open
Based on the TPACK theoretical framework, this study conducted a questionnaire survey among 946 university teachers across various institutions in Hunan Province to investigate the current status of informatization teaching ability among u…
View article: StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation
StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation Open
Recent advances in large reconstruction and generative models have significantly improved scene reconstruction and novel view generation. However, due to compute limitations, each inference with these large models is confined to a small ar…
View article: Intelligent lifecycle management of distribution networks: a machine learning framework for efficiency, resilience, and environmental sustainability
Intelligent lifecycle management of distribution networks: a machine learning framework for efficiency, resilience, and environmental sustainability Open
View article: Intelligent lifecycle management of distribution networks: a machine learning framework for efficiency, resilience, and environmental sustainability
Intelligent lifecycle management of distribution networks: a machine learning framework for efficiency, resilience, and environmental sustainability Open
View article: Motion Sickness-Oriented Cooperative Control in Mixed Traffic: A Hierarchical MPC Framework With Multi-Objective Optimization
Motion Sickness-Oriented Cooperative Control in Mixed Traffic: A Hierarchical MPC Framework With Multi-Objective Optimization Open
This study addresses the limitations of existing collaborative control systems for mixed traffic environments where connected and automated vehicles (CAVs) coexist with human-driven vehicles (HDVs), which overemphasize functional safety an…
View article: Insights into Integrated Co2 Capture and Utilization Coupled with Biomass Oxidative Pyrolysis
Insights into Integrated Co2 Capture and Utilization Coupled with Biomass Oxidative Pyrolysis Open
View article: Insights into Integrated Co2 Capture and Utilization Coupled with Biomass Oxidative Pyrolysis
Insights into Integrated Co2 Capture and Utilization Coupled with Biomass Oxidative Pyrolysis Open
View article: Rbm15-Mediated Rna M6a Methylation of Bcl11a Promotes Aggressive Behavior of Fibroblast-Like Synoviocytes in Rheumatoid Arthritis
Rbm15-Mediated Rna M6a Methylation of Bcl11a Promotes Aggressive Behavior of Fibroblast-Like Synoviocytes in Rheumatoid Arthritis Open
View article: Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach
Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach Open
The current Adaptive Cruise Control (ACC) systems are vulnerable to "road bully" such as cut-ins. This paper proposed an Anti-bullying Adaptive Cruise Control (AACC) approach with proactive right-of-way protection ability. It bears the fol…
View article: Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction Open
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully realizing autonomous driving (AD). This paper presents the Human-Like Trajectory Prediction model (HLTP++), which emulates human cognitive pro…
View article: Community Life Circle, Neighbourly Interaction, and Social Cohesion: Does Community Space Use Foster Stronger Communities?
Community Life Circle, Neighbourly Interaction, and Social Cohesion: Does Community Space Use Foster Stronger Communities? Open
Neighbourhood social cohesion has emerged as a prominent concern in urban governance worldwide. As the primary domain of residents’ daily activities, the community life circle contributes to neighbourly interaction and social cohesion. Thi…
View article: Human-Machine Shared Control Approach for the Takeover of CACC
Human-Machine Shared Control Approach for the Takeover of CACC Open
Cooperative Adaptive Cruise Control (CACC) often requires human takeover for tasks such as exiting a freeway. Direct human takeover can pose significant risks, especially given the close-following strategy employed by CACC, which might cau…
View article: Vehicles Swarm Intelligence: Cooperation in Both Longitudinal and Lateral Dimensions
Vehicles Swarm Intelligence: Cooperation in Both Longitudinal and Lateral Dimensions Open
Longitudinal-only platooning methods are facing great challenges on running\nmobility, since they may be impeded by slow-moving vehicles from time to time.\nTo address this issue, this paper proposes a vehicles swarming method coupled\nbot…
View article: Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain
Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain Open
Cooperative and Adaptive Cruise Control (CACC) is widely focused to enhance driving fuel-efficiency by maintaining a close following gap. The ecology of CACC could be further enhanced by adapting to the rolling terrain. However, current st…
View article: Dynamic Right-of-Way Allocation on Bus Priority Lanes Considering Traffic System Resilience
Dynamic Right-of-Way Allocation on Bus Priority Lanes Considering Traffic System Resilience Open
Bus priority is an effective way to improve traffic efficiency and sustainability. To achieve this, the Bus Priority Lane (BPL) is adopted to provide exclusive right-of-way for buses. However, the BPL is underutilized if the frequency of b…
View article: Dynamic Right-of-Way Allocation on Bus Priority Lane considering Traffic System Resilience
Dynamic Right-of-Way Allocation on Bus Priority Lane considering Traffic System Resilience Open
Ensuring bus priority is to improve traffic sustainability at the signalized intersection. To achieve this, the Bus Priority Lane (BPL) is adopted to provide exclusive right-of-way for buses. However, the BPL is underutilization if the fre…
View article: Phase-Transition Induced Enhanced Negative Electrocaloric Effect Near Room Temperature in Sn-Doped Pbzro3 Antiferroelectric Thin Films
Phase-Transition Induced Enhanced Negative Electrocaloric Effect Near Room Temperature in Sn-Doped Pbzro3 Antiferroelectric Thin Films Open
View article: Space Domain Based Cooperative and Adaptive Cruise Control for Enhanced Fuel Efficiency on Rolling Terrain
Space Domain Based Cooperative and Adaptive Cruise Control for Enhanced Fuel Efficiency on Rolling Terrain Open