Explanipedia

Novel Catalyst of NiFe‐LDO Layered Double for Efficient Deoxygenation of Palm Oil to Diesel‐Range Alkane Open

Qingyan Cui, Jianwei Zheng, Yingying Zhang, Tiesen Li, Tinghai Wang , et al. · 2025

To achieve palm oil conversion along with a high yield of long‐chain alkane, a series of NiFe layered double oxide catalysts were prepared and employed in the deoxygenation of palm oil. The layered structure of these catalysts was confirme…

Controllable Face Inpainting via Pseudo-Style Embedding Open

Jie Wu, Jiawei Jiang, Yueqian Quan, Honghui Xu, Wanjun Chen , et al. · 2025

Image inpainting, a critical facet of computer vision, is in full bloom accompanied by the rapid innovation of convolution neural networks and transformers, revolutionizing the practical management of abnormity disposal, image editing, etc…

Gradient Selection Tuning via Information Bottleneck Open

Xiaoxu Lin, Wei Li, Jun‐Wei Zhu, Ni Xu, Honghui Xu , et al. · 2025

Pre-trained visual models enjoy strong representations, yet suffer from massive parameters to be shifted in downstream practices. Many parameter-efficient fine-tuning methods have been proposed, mostly requiring only 1% additional paramete…

Curing Semantic Drift: A Dynamic Approach to Grounding Generation in Large Vision-Language Models Open

Jiahe Chen, Jiaying He, Qian Shao, Qiyuan Chen, J. Ying , et al. · 2025

Large Vision-Language Models (LVLMs) face a tug-of-war between powerful linguistic priors and visual evidence, often leading to ``semantic drift'' -- the progressive detachment from visual input that we identify as the root cause of halluc…

Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking Open

Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang · 2025

Deep unfolding network (DUN) has shed new light on multi-sequence MRI reconstruction, providing both high interpretability and acceptable performance. However, current approaches still suffer from the plight of information isolation, i.e.,…

Axial-shunted Spatial-temporal Conversation for Change Detection Open

Yuchao Feng, Mengjie Qin, Jiawei Jiang, J. Lai, Jianwei Zheng · 2025

Benefitting from the maturing of intelligence techniques and advanced sensors, recent years have witnessed the full flourishing of change detection (CD) on multi-temporal remote sensing images. However, extraneous interference caused by no…

Information-Coupled Neural Operator for Computational Mechanics and Parametric PDEs Open

Yihan Chen, Wenbin Lu, Jinhua Xu, Y. He, Wei Li , et al. · 2025

Theoretical study on the mechanism of stick-slip instability occurrence on deep coal-rock structure Open

Zhenpei Zhang, Guanyu Yang, Youqin Lu, Yulong Chen, Chao Yang , et al. · 2024

Dynamic disasters seriously threaten the safety and effectiveness in deep mining. The mechanism of stick-slip instability occurrence on the deep coal-rock structure was studied in this paper through analyzing the occurrence condition of st…

Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction Open

Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng · 2024

Consistency and interpretability have long been the critical issues in MRI reconstruction. While interpretability has been dramatically improved with the employment of deep unfolding networks (DUNs), current methods still suffer from incon…

SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting Open

Jie Wu, Yuchao Feng, Honghui Xu, Chuanmeng Zhu, Jianwei Zheng · 2024

Image inpainting is in full bloom accompanied by the progress of convolutional neural networks (CNNs) and transformers, revolutionizing the practical management of abnormity disposal, image editing, etc. However, due to the ever-mounting i…

Information-Coupled MRI Acceleration Via Multi-Modal Mapping and Progressive Masking Open

Jiawei Jiang, Jiacheng Chen, Honghui Xu, Yuhang He, Jianwei Zheng · 2024

Collaborative Cross-Complementary Unfolding Network for Pan-Sharpening Remote Sensing Image Open

Honghui Xu, Yan Li, Hongyi Xia, Chuangjie Fang, Jianwei Zheng · 2024

High-fidelity Person-centric Subject-to-Image Synthesis Open

Y. N. Wang, Weizhong Zhang, Jianwei Zheng, Jin Cheng · 2023

Current subject-driven image generation methods encounter significant challenges in person-centric image generation. The reason is that they learn the semantic scene and person generation by fine-tuning a common pre-trained diffusion, whic…

Self-rated health and its related influencing factors among emergency department physicians: a national cross-sectional study Open

Ke Peng, Jingjing Jiang, Nan Jiang, Rongrong An, Jianwei Zheng , et al. · 2023

Background Protecting and improving the personal health of healthcare workers is critical to improving the efficiency and quality of care. To effectively meet the needs of the emergency service system, emergency physicians need to be in a …

Gene therapy: an emerging therapy for hair cells regeneration in the cochlea Open

Jipeng Wang, Jianwei Zheng, Haiyan Wang, Haoying He, Shuang Li , et al. · 2023

Sensorineural hearing loss is typically caused by damage to the cochlear hair cells (HCs) due to external stimuli or because of one’s genetic factors and the inability to convert sound mechanical energy into nerve impulses. Adult mammalian…

GA-HQS: MRI reconstruction via a generically accelerated unfolding approach Open

Jiawei Jiang, Yuchao Feng, Honghui Xu, Wanjun Chen, Jianwei Zheng · 2023

Deep unfolding networks (DUNs) are the foremost methods in the realm of compressed sensing MRI, as they can employ learnable networks to facilitate interpretable forward-inference operators. However, several daunting issues still exist, in…

Hyperspectral Image Superresolution via Subspace-Based Deep Prior Regularization Open

Jianwei Zheng, Pengfei Li, Honghui Xu, Jiawei Jiang, Yuchao Feng , et al. · 2023

Hyperspectral imaging is able to provide a finer delivery of various material properties than conventional imaging systems. Yet in reality, an optical system can only generate data with high spatial resolution but low spectral one, or vice…

Dense Vehicle Counting Estimation via a Synergism Attention Network Open

Yiting Jin, Jie Wu, Wanliang Wang, Y. N. Wang, Xi Yang , et al. · 2022

Along with rising traffic jams, accurate counting of vehicles in surveillance images is becoming increasingly difficult. Current counting methods based on density maps have achieved tremendous improvement due to the prosperity of convoluti…

WebAssembly-based Delta Sync for Cloud Storage Services Open

Jianwei Zheng, Zhenhua Li, Yuanhui Qiu, Hao Lin, Xiao He , et al. · 2022

Delta synchronization (sync) is crucial to the network-level efficiency of cloud storage services, especially when handling large files with small increments. Practical delta sync techniques are, however, only available for PC clients and …

Cascading Blend Network for Image Inpainting Open

Yiting Jin, Jie Wu, Yidong Yan, Jiawei Jiang, Jianwei Zheng · 2022

Hyperspectral and Multispectral Data Fusion via Joint Local-Nonlocal Modeling and Truncation Operator Open

Jiawei Jiang, Yuchao Feng, Honghui Xu, Guojiang Shen, Jianwei Zheng · 2022

Fusion technology has been the core strategy to obtain a high-spatial-spectral resolution hyperspectral image (HSI). In recent years, few fusion models focused on exploiting the underlying manifold structure in the spatial dimension of the…

3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples Open

Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai, Jinglin Zhang · 2021

Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well kno…

Manifold-Based Nonlocal Second-Order Regularization for Hyperspectral Image Inpainting Open

Jianwei Zheng, Jiawei Jiang, Honghui Xu, Zhi Liu, Fei Gao · 2020

The low-dimensional manifold of image patches has been introduced as regularizer term, and shown effective in hyperspectral image inpainting. However, in this article, we find that using only the low-dimensional property of manifold may no…

Moreau-Enhanced Total Variation and Subspace Factorization for Hyperspectral Denoising Open

Yanhong Yang, Shengyong Chen, Jianwei Zheng · 2020

Hyperspectral images (HSIs) denoising aims at recovering noise-free images from noisy counterparts to improve image visualization. Recently, various prior knowledge has attracted much attention in HSI denoising, e.g., total variation (TV),…

Towards Adversarial Robustness via Feature Matching Open

Zhuorong Li, Chao Feng, Jianwei Zheng, Minghui Wu, Hongnian Yu · 2020

Image classification systems are known to be vulnerable to adversarial attacks, which are imperceptibly perturbed but lead to spectacularly disgraceful classification. Adversarial training is one of the most effective defenses for improvin…

Low-Rank Tensor Completion and Total Variation Minimization for Color Image Inpainting Open

Mengjie Qin, Zhuorong Li, Shengyong Chen, Qiu Guan, Jianwei Zheng · 2020

Low-rank (LR) and total variation (TV) are two most frequent priors that occur in image processing problems, and they have sparked a tremendous amount of researches, particularly for moving from scalar to vector, matrix or even high-order …

Perceptual Adversarial Networks With a Feature Pyramid for Image Translation Open

Zhuorong Li, Minghui Wu, Jianwei Zheng, Hongchuan Yu · 2019

This paper investigates the image-to-image translations problems, where the input image is translated into its synthetic form with the original structure and semantics preserved. Widely used methods compute the pixel-wise MSE loss, which a…

Iterative Reconstrained Low-Rank Representation via Weighted Nonconvex Regularizer Open

Jianwei Zheng, Cheng Lü, Hongnian Yu, Wanliang Wang, Shengyong Chen · 2018

Benefiting from the joint consideration of geometric structures and low-rank constraint, graph low-rank representation (GLRR) method has led to the state-of-the-art results in many applications. However, it faces the limitations that the s…

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