A5104085728- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Multimodal Machine Learning Applications
- High-Energy Particle Collisions Research
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Nuclear physics research studies
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Image Processing Techniques and Applications
- Image and Signal Denoising Methods
- Speech and dialogue systems
- Advanced Neural Network Applications
- Gait Recognition and Analysis
- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Natural Language Processing Techniques
- Face and Expression Recognition
- Microwave Engineering and Waveguides
- Radiomics and Machine Learning in Medical Imaging
- Computational Physics and Python Applications
- Medical Image Segmentation Techniques
- Video Analysis and Summarization
- AI in cancer detection
Shanghai Jiao Tong University
2021-2025
Henan Normal University
2023-2025
Shanghai Children's Hospital
2023-2025
Guiyang Medical University
2023-2025
Southeast University
2016-2024
Sun Yat-sen University
2024
University of Science and Technology of China
2024
Shanghai Institute of Organic Chemistry
2024
The University of Adelaide
2022-2024
Chengdu University of Technology
2022-2024
Micro-expressions are facial expressions which fleeting and reveal genuine emotions that people try to conceal. These important clues for detecting lies dangerous behaviors therefore have potential applications in various fields such as the clinical field national security. However, recognition through naked eye is very difficult. Therefore, researchers of computer vision tried develop micro-expression detection algorithms but lack spontaneous databases. In this study, we attempted create a...
When the number of books provided by library is relatively large, it becomes difficult for user to select appropriate book from a lot candidate books. In this case, paper designs personalized recommendation system college libraries based on hybrid algorithm. First all, studies application collaborative filtering and content-based algorithm in university books, which involves reader classification, establishment user-item scoring matrix, construction vector space model calculation similarity...
This work addresses the Burst Super-Resolution (BurstSR) task using a new architecture, which requires restoring high-quality image from sequence of noisy, misaligned, and low-resolution RAW bursts. To over-come challenges in BurstSR, we propose Transformer (BSRT), can significantly improve capability extracting inter-frame information reconstruction. achieve this goal, Pyramid Flow-Guided Deformable Convolution Network (Pyramid FG-DCN) incorporate Swin Trans-former Blocks Groups as our main...
This paper reviews the NTIRE 2023 challenge on image denoising (σ = 50) with a focus proposed solutions and results. The aim is to obtain network design capable produce high-quality results best performance measured by PSNR for denoising. Independent additive white Gaussian noise (AWGN) assumed level 50. had 225 registered participants, 16 teams made valid submissions. They gauge state-of-the-art
This work reviews the results of NTIRE 2023 Challenge on Image Shadow Removal. The described set solutions were proposed for a novel dataset, which captures wide range object-light interactions. It consists 1200 roughly pixel aligned pairs real shadow free and affected images, captured in controlled environment. data was white-box setup, using professional equipment lights acquisition sensors. challenge had number 144 participants registered, out 19 teams compared final ranking. extend...
Abstract The exotic states X (3872) and $$Z_c(3900)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>Z</mml:mi> <mml:mi>c</mml:mi> </mml:msub> <mml:mo>(</mml:mo> <mml:mn>3900</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> have long been conjectured as isoscalar isovector $${\bar{D}}^*D$$ <mml:msup> <mml:mover> <mml:mi>D</mml:mi> <mml:mo>¯</mml:mo> </mml:mover> <mml:mo>∗</mml:mo> </mml:msup> molecules. In this work, we first propose the triangle...
Efficient deep learning-based approaches have achieved remarkable performance in single image super-resolution. However, recent studies on efficient super-resolution mainly focused reducing the number of parameters and floating-point operations through various network designs. Although these methods can decrease operations, they may not necessarily reduce actual running time. To address this issue, we propose a novel multi-stage lightweight boosting method, which enable networks to achieve...
The vision-and-language navigation (VLN) task necessitates an agent to perceive the surroundings, follow natural language instructions, and act in photo-realistic unseen environments. Most of existing methods employ entire image or object features represent navigable viewpoints. However, these representations are insufficient for proper action prediction, especially REVERIE task, which uses concise high-level such as “Bring me blue cushion master bedroom”. To address enhancing...
In the present work, we investigate $P_c(4312)$, $P_c(4440)$ and $P_c(4457)$ production from $\Lambda_b$ decay in a molecular scenario by using an effective Lagrangian approach. We predict ratio of branching fraction $\Lambda_b \to P_c K$, which is weakly dependent on our model parameter. also find ratios productions fractions K$ $P_c J/\psi p$ can be well interpreted scenario. Moreover, estimated are order $10^{-6}$, could tested further measurements LHCb Collaboration.
Inspired by the $P_{cs}(4459)$ reported LHCb collaboration recently, we investigate production from $\Xi_b$ decay in a molecular scenario using an effective Lagrangian approach. With different $J^P$ assignments to $P_{cs}(4459)$, magnitude of branching fractions $\Xi_b \to P_{cs}(4459) K$ is estimated, which order $10^{-4}$. Together with properties present estimations could be further testified precise measurements and contribute better understanding interpretations exploration quantum...
Together with the rapid development of Internet Things, human activity recognition (HAR) using wearable inertial measurement units (IMUs) becomes a promising technology for many research areas. Recently, deep-learning-based methods pave new way understanding and performing analysis complex data in HAR system. However, performance these is mostly based on quality quantity collected data. In this article, we innovatively propose to build large set virtual IMUs then address technical issues by...
Abstract In a molecular scenario, we investigate the isospin-breaking hidden charm decay processes of X (3872), i.e., $$X(3872) \rightarrow \pi ^+ ^- J/\psi $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>X</mml:mi> <mml:mo>(</mml:mo> <mml:mn>3872</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>→</mml:mo> <mml:msup> <mml:mi>π</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:mo>-</mml:mo> <mml:mi>J</mml:mi> <mml:mo>/</mml:mo> <mml:mi>ψ</mml:mi> </mml:math> , ^0...
This paper uses the universe of cellphone records from a Chinese telecommunication provider for northern city to examine role information exchange in urban labor markets. We provide first direct evidence increased communication among referral pairs around job changes. Information provided by social contacts mitigates asymmetry and improves market performance. (JEL D82, J62, O18, P23, P25, R23, Z13)
Abstract The healing of bacterial biofilm‐infected wounds is a complex process, and the construction emerging therapeutic modalities that regulate microenvironment to magnify effects reduce biotoxicity still highly challenging. Herein, an engineered microneedle (MN) patch reported mediate efficient delivery black phosphorus nanosheets (BP NSs) copper peroxide nanodots (CP NDs) for dual nanodynamic sterilization methicillin‐resistant staphylococcus aureus (MRSA)‐infected wound healing....
Abstract The experimental observations of $$\psi _2(3823)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>ψ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>(</mml:mo> <mml:mn>3823</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> and _3(3842)$$ <mml:mn>3</mml:mn> <mml:mn>3842</mml:mn> make D wave charmonia family abundant. In the present work, we investigate hidden charm decay processes spin triplets -wave with meson loop mechanism. model parameter...
Vision-and-Language Navigation (VLN) tasks mainly evaluate agents based on one-time execution of individual instructions across multiple environments, aiming to develop capable functioning in any environment a zero-shot manner. However, real-world navigation robots often operate persistent environments with relatively consistent physical layouts, visual observations, and language styles from instructors. Such gap the task setting presents an opportunity improve VLN by incorporating...
In the present work, we investigate production of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>X</a:mi><a:mo stretchy="false">(</a:mo><a:mn>4630</a:mn><a:mo stretchy="false">)</a:mo></a:math> and <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:mi>Y</e:mi><e:mo stretchy="false">(</e:mo><e:mn>4626</e:mn><e:mo stretchy="false">)</e:mo></e:math> in <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"...
Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. While has shown competitive performance medical image segmentation, it encounters difficulties modeling local features due to sporadic nature of traditional location-based scanning methods and complex, ambiguous boundaries often present images. To overcome these challenges, we propose Uncertainty-Driven (UD-Mamba),...
Controllable Text Generation, as a cutting-edge technology in Natural Language Processing (NLP), has significantly improved the quality of text generation. Users can customize generated content by setting specific attributes, formats, and emotional characteristics, thereby achieving goal conserving resources. However, despite notable progress this field, several challenges remain, such limited diversity under multiple conditions information disconnection during long-text In light this, paper...