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Found 14 papers, 2 papers with code
Low-Interference Near-Field Multi-User Communication Enabled by Spatially Converging Multi-Mode Vortex Waves
After being adjusted by the RM, the vortex electromagnetic waves are converted into energy-focusing point beams, which can be directed to arbitrary 3D positions in the RM's near-field region and received by different users.
Joint Precoder and Reflector Design for RIS-assisted Multi-user OAM Communication Systems
To maintain the orthogonal among different OAM modes, perfect alignments between transmitters and receivers are strictly required.
Experimental Study of RCS Diversity with Novel No-divergent OAM Beams
The findings reveal that the novel OAM beams produce significant azimuthal RCS diversity, providing a new approach for the detection of weak and small targets. This study not only reveals the RCS diversity phenomenon based on novel OAM beams of different modes but also addresses the issue of energy divergence that hinders traditional OAM beams in long-range detection applications.
Rydberg Atomic Quantum Receivers for Classical Wireless Communications and Sensing: Their Models and Performance
Our scheme and model provide explicit design guidance to RAQR-aided wireless systems.
Innovative RIS Prototyping Enhancing Wireless Communication with Real-Time Spot Beam Tracking and OAM Wavefront Manipulation
Owing to the capability of each unit cell on the metasurface to independently switch states, the entire RIS is not limited to controlling general beams with specific directional patterns, but also generates beams with more complex structures, including multi-focus 3D spot beams and vortex beams.
MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction
This paper is the first to propose an end-to-end framework of mutually reinforcing images to 3D surface recurrent neural network-like for model-adaptation indoor 3D reconstruction, where multi-view dense matching and point cloud surface optimization are mutually reinforced by a RNN-like structure rather than being treated as a separate issue. The characteristics are as follows:In the multi-view dense matching module, the model-adaptation strategy is used to fine-tune and optimize a Transformer-based multi-view dense matching DNN, so that it has the higher image feature for matching and detail expression capabilities;In the point cloud surface optimization module, the 3D surface reconstruction network based on 3D implicit field is optimized by using model-adaptation strategy, which solves the problem of point cloud surface optimization without knowing normal vector of 3D surface. To improve and finely reconstruct 3D surfaces from point cloud, smooth loss is proposed and added to this module;The MRIo3DS-Net is a RNN-like framework, which utilizes the finely optimized 3D surface obtained by PCSOM to recursively reinforce the differentiable warping for optimizing MVDMM. This refinement leads to achieving better dense matching results, and better dense matching results leads to achieving better 3D surface results recursively and mutually. Hence, model-adaptation strategy can better collaborate the differences between the two network modules, so that they complement each other to achieve the better effect;To accelerate the transfer learning and training convergence from source domain to target domain, a multi-task loss function based on Bayesian uncertainty is used to adaptively adjust the weights between the two networks loss functions of MVDMM and PCSOM;In this multi-task cascade network framework, any modules can be replaced by any state-of-the-art networks to achieve better 3D reconstruction results.
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
Fast convolution algorithms, including Winograd and FFT, can efficiently accelerate convolution operations in deep models.
A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editing
Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production.
LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification
Therefore, this paper proposes a Heterogeneous Graph Neural Network Classification and Aggregation Algorithm Based on Large and Small Neighbor Path Iden tification(LSPI).
A general approach to enhance the survivability of backdoor attacks by decision path coupling
One of the mainstream backdoor defenses is model reconstruction-based.
Human Behavior in the Time of COVID-19: Learning from Big Data
On one hand, human behavior is found to shape the spread of the disease.
Koopmans' theorem as the mechanism of nearly gapless surface states in self-doped magnetic topological insulators
The magnetization-induced gap at the surface state is widely believed as the kernel of magnetic topological insulators (MTIs) because of its relevance to various topological phenomena, such as the quantum anomalous Hall effect and the axion insulator phase.
Materials Science
Accurate polymorphous description of the paramagnetic phases in MnBi$_{2}$Te$_{4}$
Temperature-driven phase transition is a long-standing frontier in material science, among which the most common phenomenon is the transition from a low-temperature magnetic-ordered phase to a high-temperature paramagnetic phase.
Materials Science
Joints of varieties
We generalize the Guth--Katz joints theorem from lines to varieties.
Combinatorics Algebraic Geometry Classical Analysis and ODEs
