National University of Defense Technology

Structure-Derived Bottleneck-Aware Scheduling for Multitasking MCM-GPUs

Multi-chip-module (MCM) GPUs improve scalability by integrating multiple GPU chiplets, but spatial multitasking introduces severe performance interference due to non-uniform memory access and asymmetric inter-chip bandwidth. Existing GPU multitasking schedulers rely on runtime pr...

Receding-horizon neuro-fuzzy reinforcement learning with experience replay for containment control of multi-agent systems

Containment control for multi-agent systems (MAS) under disturbances is an important research topic. Although numerous containment control methods have been proposed, learning-based optimal control approaches for MAS still suffer from the drawbacks of low policy interpretability...

Energy Budget and Modal Evolution of M2 Internal Tide in the Northeastern South China Sea

A high-resolution unstructured-grid ocean model was used to investigate the generation, propagation, and dissipation of M2 internal tides in the Luzon Strait and northeastern South China Sea, with the aim of clarifying how energy evolves across contrasting topographic regimes. Wa...

Intelligent Programmable Metasurfaces for Robust Spatiotemporal 3D Human Pose Estimation

ABSTRACT Programmable metasurfaces (PMs) provide a compelling platform for human sensing under conditions where vision‐based methods fail. However, conventional metasurface sensing relies exclusively on electromagnetic scattering data captured at the isolated and current time ins...

Computationally Efficient Robust Information Filtering for In-Flight GNSS/SINS Tightly Coupled Navigation with High-Dimensional Observations on Small UAVs

The full operation of BDS-3 enables users to obtain high-performance positioning services, benefiting from the surge in the number of Global Navigation Satellite System (GNSS) observations with multi-constellation multi-frequency signals. This overabundance is beneficial to impro...

Nickase-based suppression of self-ligation in long sticky-end adapters for next-generation sequencing library preparation

The correctness and efficiency of the adapter connection are important factors affecting the quality and yield of the libraries in next-generation sequencing (NGS). Lengthening the sticky ends of the adapters and the targets can effectively improve the efficiency of ligation, how...

Scaling analysis of the pressure distribution in shock wave/boundary layer interactions on convex surfaces with extended free-interaction theory

Predicting the pressure distribution in shock wave/boundary layer interaction (SWBLI) over convex surfaces is critical for hypersonic vehicle design, yet a unified theoretical model remains absent. This work extends the classical free-interaction theory by introducing two dimensi...

The obstacles and changes in Sino-European trade routes in the twenty-first century due to climate change and geopolitical risks

In the 21st century, global climate change and geopolitical risks are interconnected, presenting new challenges and influencing the trade dynamics between China and Europe. This paper investigates the effects of climate change and geopolitical risks on the trade route between Chi...

Harnessing Metasurfaces for Advanced Optical Metrology

ABSTRACT Optical metrology has played a crucial role in the advancement of science and technology. In optical metrology, the fundamental properties of light are skillfully employed as information carriers, enabling accurate measurement of numerous physical quantities. However, co...

Demand Forecasting for Emergency Supplies in Public Health Emergencies via Multimodal Semantic Alignment and Joint Trend–Fluctuation Modeling

Demand forecasting for emergency supplies is critical for public health emergency response, but demand sequences are strongly affected by external factors such as epidemic progression, traffic control, medical resource adjustments, and weather conditions, leading to stage-wise dr...

Microcomb-driven large-scale fully connected quantum network

Abstract Fully connected quantum networks enable simultaneous connection of every user to every other user and are a highly versatile and robust networking architecture. However, the scalability of such networks remains a great challenge for practical applications. Here we constr...

Uniform measure attractors for nonautonomous stochastic lattice wave equations with delay driven by nonlinear noise

In this paper, we investigate the existence and structure of uniform measure attractors for nonautonomous stochastic lattice wave equations with delay, driven by nonlinear noise and subject to almost periodic external forces. Since the presence of nonlinear noise and almost perio...

Prompt Learning for Textual Heterogeneous Information Networks

Heterogeneous information networks (HINs) play an indispensable role in a wide range of domain-specific applications, from recommender systems to conversational platforms. Textual heterogeneous information networks (HINs) are graphs with abundant textual information. Currently, m...