Qing‐Long Han
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View article: Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices Open
Integer Linear Programs (ILPs) are central to real-world optimizations but notoriously difficult to solve. Learning to Optimize (L2O) has emerged as a promising paradigm, with Graph Neural Networks (GNNs) serving as the standard backbone. …
View article: DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models Open
DeepSeek, a Chinese Artificial Intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and open-source advantages. This paper begins by reviewing the …
View article: Data-driven discovery of spatiotemporal dynamical systems with sparse interpretable neural networks
Data-driven discovery of spatiotemporal dynamical systems with sparse interpretable neural networks Open
Existing approaches to data-driven model discovery of nonlinear dynamical systems are mainly sparse optimization, symbolic regression, and Kolmogorov-Arnold networks, but they all suffer from the “curse of dimensionality”, i.e., the number…
View article: An overview of recent advances in event-triggered control
An overview of recent advances in event-triggered control Open
Event-triggered control (ETC) offers an efficient strategy for significantly reducing communication and computation resources in networked systems by triggering control updates only when necessary. This study provides an overview of recent…
View article: MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction
MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction Open
Accurate 3D semantic occupancy perception is essential for autonomous driving in complex environments with diverse and irregular objects. While vision-centric methods suffer from geometric inaccuracies, LiDAR-based approaches often lack ri…
View article: Improved Landslide Deformation Prediction Using Convolutional Neural Network–Gated Recurrent Unit and Spatial–Temporal Data
Improved Landslide Deformation Prediction Using Convolutional Neural Network–Gated Recurrent Unit and Spatial–Temporal Data Open
As one of the major forms of geological disaster, landslides cause huge casualties and economic losses in China every year. Given the importance of landslide prediction, it is a challenging task due to difficulties in efficiently leveragin…
View article: The Mass-Angular Momentum Inequality for Multiple Black Holes
The Mass-Angular Momentum Inequality for Multiple Black Holes Open
This is the second in a series of two papers to establish the conjectured mass-angular momentum inequality for multiple black holes, modulo the extreme black hole 'no hair theorem'. More precisely it is shown that either there is a counter…
View article: Proteomics and Microbiota Conjoint Analysis in the Nasal Mucus: Revelation of Differences in Immunological Function in Manis javanica and Manis pentadactyla
Proteomics and Microbiota Conjoint Analysis in the Nasal Mucus: Revelation of Differences in Immunological Function in Manis javanica and Manis pentadactyla Open
All eight pangolin species, especially captive Manis pentadactyla, are critically endangered and susceptible to various pathogenic microorganisms, causing mass mortality. They are involved in the complement system, iron transport system, a…
View article: Automation 5.0: The Key to Systems Intelligence and Industry 5.0
Automation 5.0: The Key to Systems Intelligence and Industry 5.0 Open
Automation has come a long way since the early days of mechanization, i.e., the process of working exclusively by hand or using animals to work with machinery. The rise of steam engines and water wheels represented the first generation of …
View article: On the Federated Learning Framework for Cooperative Perception
On the Federated Learning Framework for Cooperative Perception Open
Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises significant privacy concerns. Federated learning offers a …
View article: When Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering
When Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering Open
During our discussion at workshops for writing "What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence" [1], we had expected the next milestone for Artificial Intelligence (AI) would be in the direction of …
View article: Secure control and filtering for industrial metaverse
Secure control and filtering for industrial metaverse Open
元宇宙可被视为一个社会化和虚拟化的网络空间, 与现实世界平行但互动. 得益于云计算和数字孪生的快速发展, 元宇宙正在将带有传统控制和滤波范式的工业自动化系统转变为信息物理社会融合系统. 在此情况下, 未来的工业自动化系统可能是在一定时间和空间范围内具有强大计算能力的现实世界系统与虚拟孪生系统的集成. 在该领域中, 元宇宙重点涉及信息传输管理、 用户的行为识别以及控制、 滤波和决策, 且性能和成本将是系统在网络空间和现实世界中行为的综合反映. 毫无疑问, 虚拟网络空间和现实世…
View article: Privacy-Preserving Distributed Economic Dispatch of Microgrids Using Edge-Based Additive Perturbations: An Accelerated Consensus Algorithm
Privacy-Preserving Distributed Economic Dispatch of Microgrids Using Edge-Based Additive Perturbations: An Accelerated Consensus Algorithm Open
This article investigates the privacy-preserving distributed economic dispatch (DED) problem of islanded microgrids. To improve the convergence rate of the DED algorithm, an accelerated consensus scheme is adopted by utilizing a short memo…
View article: Stochastic sampled-data multi-objective control of active suspension systems for in-wheel motor driven electric vehicles
Stochastic sampled-data multi-objective control of active suspension systems for in-wheel motor driven electric vehicles Open
This paper addresses the sampled-data multi-objective active suspension control problem for an in-wheel motor driven electric vehicle subject to stochastic sampling periods and asynchronous premise variables. The focus is placed on the sce…
View article: Editorial: Secure and Safe MetaControl for Cyber Physical Systems
Editorial: Secure and Safe MetaControl for Cyber Physical Systems Open
Welcome to the twelfth issue of 2023 in the IEEE/CAA Journal of Automatica Sinica (JAS).In the sixth issue of 2023, I systematically addressed the latest development of MetaVehicles, and sorted out some important contributions published in…
View article: Blow-up sets of Ricci curvatures of complete conformal metrics
Blow-up sets of Ricci curvatures of complete conformal metrics Open
A version of the singular Yamabe problem in smooth domains in a closed manifold yields complete conformal metrics with negative constant scalar curvatures. In this paper, we study the blow-up phenomena of Ricci curvatures of these metrics …
View article: Vehicle-to-Everything Cooperative Perception for Autonomous Driving
Vehicle-to-Everything Cooperative Perception for Autonomous Driving Open
Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything cooperative perception, which enables vehicles to share perception data, thereby enhancing situational awareness and overcoming the limi…
View article: Isometric immersions and applications
Isometric immersions and applications Open
We provide an introduction to the old-standing problem of isometric immersions. We combine a historical account of its multifaceted advances, which have fascinated geometers and analysts alike, with some of the applications in the mathemat…
View article: Robust trajectory tracking control for cable-driven parallel robots with model uncertainty
Robust trajectory tracking control for cable-driven parallel robots with model uncertainty Open
This paper is concerned with robust trajectory tracking control for cable-driven parallel robots (CDPRs) with uncertain dynamics. A new accurate trajectory tracking controller (ATTC) is proposed such that the pose of the mobile platform of…
View article: Fully distributed adaptive practical fixed-time consensus protocols for multi-agent systems
Fully distributed adaptive practical fixed-time consensus protocols for multi-agent systems Open
This paper investigates the practical fixed-time consensus problem for a multi-agent system in networks with an undirected topology. Both node-based and edge-based fully distributed adaptive protocols are proposed to achieve the practical …