Yining Li
YOU?
Author Swipe
View article: AI Signal Processing Paradigm for Movable Antenna: From Spatial Position Optimization to Electromagnetic Reconfigurability
AI Signal Processing Paradigm for Movable Antenna: From Spatial Position Optimization to Electromagnetic Reconfigurability Open
As 6G wireless communication systems evolve toward intelligence and high reconfigurability, the limitations of traditional fixed antenna (TFA) have become increasingly prominent. As a remedy, spatially movable antenna (SMA) and electromagn…
View article: Progressive mitochondrial dysfunction impairs visual signal transduction and induces retinal degeneration in Drosophila
Progressive mitochondrial dysfunction impairs visual signal transduction and induces retinal degeneration in Drosophila Open
Mitochondrial dysfunction is closely associated with the pathogenesis of retinitis pigmentosa (RP), often through the generation of reactive oxygen species (ROS), which disrupts visual signal transduction. However, in certain instances, mi…
View article: DFT Simulation of the Vibrational Spectrum of Cholesteryl Esters: A New Physical Therapy Proposal for Targeted Clearance of Atherosclerotic Lipid Plaques
DFT Simulation of the Vibrational Spectrum of Cholesteryl Esters: A New Physical Therapy Proposal for Targeted Clearance of Atherosclerotic Lipid Plaques Open
Cholesteryl ester deposition in atherosclerosis (AS) plaques drives lipid core formation and plaque instability. Traditional statin drugs lack targeting and cause adverse reactions in some patients. This study proposed a novel laser-target…
View article: Effect of nano thermal barrier coatings on the thermal-structural performance of ω-shaped internal combustion engine piston
Effect of nano thermal barrier coatings on the thermal-structural performance of ω-shaped internal combustion engine piston Open
View article: Theoretical Investigation of Chromium Separation from Chromates Through Photon–Phonon Resonant Absorption
Theoretical Investigation of Chromium Separation from Chromates Through Photon–Phonon Resonant Absorption Open
Chromium (Cr) is a vital metal utilized in materials physics, healthcare, and various other domains. In this study, we propose an eco-friendly method for separating Cr from potassium chromate (K2CrO4) based on photon–phonon resonance absor…
View article: Influence of Aluminum Incorporation on the Adsorptive Performance of Silica-Based Supported Sulfonic Acid for the Chemical Recovery of Gaseous O-Xylene
Influence of Aluminum Incorporation on the Adsorptive Performance of Silica-Based Supported Sulfonic Acid for the Chemical Recovery of Gaseous O-Xylene Open
A group of silica-based supports with varying Al/Si ratios (S−x) was synthesized using the sol–gel method, followed by a chlorosulfonic acid modification to produce supported sulfonic acids (SA−x). The S−x and SA−x materials, along with th…
View article: Research on master-slave game theory-based demand response strategies for renewable energy integration
Research on master-slave game theory-based demand response strategies for renewable energy integration Open
As renewable energy sources are extensively incorporated into electrical grids, the necessity for enhanced flexibility and stability within the power system has significantly grown., Demand Response (DR) has attracted widespread attention …
View article: A Robust Cooperative Control Protocol Based on Global Sliding Mode Manifold for Heterogeneous Nonlinear Multi-Agent Systems Under the Switching Topology
A Robust Cooperative Control Protocol Based on Global Sliding Mode Manifold for Heterogeneous Nonlinear Multi-Agent Systems Under the Switching Topology Open
This study addresses the completely distributed consensus control problem for the heterogeneous nonlinear multi-agent system (MAS) with disturbances under switching topology. First, a global sliding mode manifold (GSMM) is designed for the…
View article: MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Open
View article: A Computationally Efficient Framework Leveraging Auxiliary Head Features for Robust Cloth-Changing Person Re-Identification
A Computationally Efficient Framework Leveraging Auxiliary Head Features for Robust Cloth-Changing Person Re-Identification Open
View article: Salinity resistance and wind-enhanced evaporation of biomass-derived foam for sustainable solar desalination
Salinity resistance and wind-enhanced evaporation of biomass-derived foam for sustainable solar desalination Open
A convection-regulated salt-resistant evaporator with porous structure was developed for high-efficiency solar vapor generation. This stemmed from convection-improved heat loss while accelerating the vapor diffusion at the evaporator inter…
View article: A Computationally Efficient Framework Leveraging Auxiliary Head Features for Robust Cloth-Changing Person Re-Identification
A Computationally Efficient Framework Leveraging Auxiliary Head Features for Robust Cloth-Changing Person Re-Identification Open
View article: Chaotic vibration control of an axially moving string of multidimensional nonlinear dynamic system with an improved FSMC
Chaotic vibration control of an axially moving string of multidimensional nonlinear dynamic system with an improved FSMC Open
A new control approach based on fuzzy sliding mode control (FSMC) is proposed to regulate the chaotic vibration of an axial string. Hamilton's principle is used to formulate the nonlinear equation of motion of the axial translation string,…
View article: How to Find the Exact Pareto Front for Multi-Objective MDPs?
How to Find the Exact Pareto Front for Multi-Objective MDPs? Open
Multi-Objective Markov Decision Processes (MO-MDPs) are receiving increasing attention, as real-world decision-making problems often involve conflicting objectives that cannot be addressed by a single-objective MDP. The Pareto front identi…
View article: Understanding Bilateral Motor Coordination in Stroke Using the Towel Folding Task: An Exploratory Biomechanical Study
Understanding Bilateral Motor Coordination in Stroke Using the Towel Folding Task: An Exploratory Biomechanical Study Open
Objectives Coordination deficits in bilateral upper limbs make daily activities more difficult for stroke survivors. Previous studies showed worse kinematics during unilateral tasks compared to healthy individuals, but this was unclear for…
View article: Variational Zero-shot Multispectral Pansharpening
Variational Zero-shot Multispectral Pansharpening Open
Pansharpening aims to generate a high spatial resolution multispectral image (HRMS) by fusing a low spatial resolution multispectral image (LRMS) and a panchromatic image (PAN). The most challenging issue for this task is that only the to-…
View article: Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Fast and Continual Knowledge Graph Embedding via Incremental LoRA Open
Continual Knowledge Graph Embedding (CKGE) aims to efficiently learn new knowledge and simultaneously preserve old knowledge. Dominant approaches primarily focus on alleviating catastrophic forgetting of old knowledge but neglect efficient…
View article: InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output Open
We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that supports long-contextual input and output. IXC-2.5 excels in various text-image comprehension and composition applications, achieving GPT-4V level ca…
View article: Damage characterization of high- and low-temperature performance of porous asphalt mixtures under multi-field coupling
Damage characterization of high- and low-temperature performance of porous asphalt mixtures under multi-field coupling Open
Porous asphalt (PA) have attracted considerable interest due to their functional advantages such as significant water permeability and noise attenuation properties. Nevertheless, its vulnerability to damage significantly hinders its widesp…
View article: MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning Open
Multi-modal large language models (MLLMs) have made significant strides in various visual understanding tasks. However, the majority of these models are constrained to process low-resolution images, which limits their effectiveness in perc…
View article: MotionBooth: Motion-Aware Customized Text-to-Video Generation
MotionBooth: Motion-Aware Customized Text-to-Video Generation Open
In this work, we present MotionBooth, an innovative framework designed for animating customized subjects with precise control over both object and camera movements. By leveraging a few images of a specific object, we efficiently fine-tune …
View article: MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding Open
The advent of large vision-language models (LVLMs) has spurred research into their applications in multi-modal contexts, particularly in video understanding. Traditional VideoQA benchmarks, despite providing quantitative metrics, often fai…
View article: Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization Open
Recent research indicates that large language models (LLMs) are susceptible to jailbreaking attacks that can generate harmful content. This paper introduces a novel token-level attack method, Adaptive Dense-to-Sparse Constrained Optimizati…
View article: Investigating the Catalytic Impact of Iron-Based Metal–Organic Framework Templates on the CO <sub>2</sub> -Derived Fischer–Tropsch Synthesis Process
Investigating the Catalytic Impact of Iron-Based Metal–Organic Framework Templates on the CO <sub>2</sub> -Derived Fischer–Tropsch Synthesis Process Open
View article: Continuous iron spreading on carbon-shell composite nanotubes for electromagnetic wave absorption
Continuous iron spreading on carbon-shell composite nanotubes for electromagnetic wave absorption Open
Iron-based nanotubes are promising candidates for high performance electromagnetic wave absorbing fillers due to their high aspect ratio, light weight, high axial permeability and high saturation magnetization. Furthermore, the introductio…
View article: Theoretical Study of Efficient Photon–Phonon Resonance Absorption in the Tungsten-Related Vibrational Mode of Scheelite
Theoretical Study of Efficient Photon–Phonon Resonance Absorption in the Tungsten-Related Vibrational Mode of Scheelite Open
Tungsten (W) is an extremely rare and vital metal extensively used in metallurgy, the chemical industry, optoelectronic devices, and machinery manufacturing. In this work, an environmentally friendly and efficient physical method based on …
View article: Evolution of the microstructure and electromagnetic properties of Fe–Si–Al particles during post ball-milling annealing
Evolution of the microstructure and electromagnetic properties of Fe–Si–Al particles during post ball-milling annealing Open
FeSiAl alloys with a composition of Fe-9.6Si-5.4Al, also known as Sendust alloys, present the unique potential to exhibit efficient electromagnetic wave absorption (EMA) in the P-band. However, the electromagnetic properties of this type o…
View article: RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything Open
Recent segmentation methods, which adopt large-scale data training and transformer architecture, aim to create one foundation model that can perform multiple tasks. However, most of these methods rely on heavy encoder and decoder framework…
View article: OMG-Seg: Is One Model Good Enough For All Segmentation?
OMG-Seg: Is One Model Good Enough For All Segmentation? Open
In this work, we address various segmentation tasks, each traditionally tackled by distinct or partially unified models. We propose OMG-Seg, One Model that is Good enough to efficiently and effectively handle all the segmentation tasks, in…
View article: Towards Language-Driven Video Inpainting via Multimodal Large Language Models
Towards Language-Driven Video Inpainting via Multimodal Large Language Models Open
We introduce a new task -- language-driven video inpainting, which uses natural language instructions to guide the inpainting process. This approach overcomes the limitations of traditional video inpainting methods that depend on manually …