Xu Chen

Active domain adaptation via structural-prior warm-start and region uncertainty for cross-modality cardiac image segmentation

Zhen Wei, Xu Chen, Mingsen Deng, Zuoyong Li et autres

cn (code pays fourni par la source)

SwinGhostU-Net: A 3D U-shaped network combined with swin transformer and ghost convolution for brain tumor segmentation

Leilei Sima, Jianping Chen, Xu Chen, Hao Fang et autres

cn, hk (code pays fourni par la source)

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

Xing Hu, Zhixuan Chen, Dawei Yang, Zukang Xu et autres

Mixture-of-Experts (MoE) large language models (LLMs), which leverage dynamic routing and sparse activation to enhance efficiency and scalability, have achieved higher performance while reducing computational costs. However, these models face significant memory overheads, limiting their practical deployment and broader adoption. Post-training quantization …

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

Jinguang Yu, Sifan Zhou, Dawei Yang, Shuo Wang et autres

Multimodal large language models (MLLMs) have garnered widespread attention due to their ability to understand multimodal input. However, their large parameter sizes and substantial computational demands severely hinder their practical deployment and application.While quantization is an effective way to reduce model size …

Reasonableness or Feasibility? Delay Management and Claim Schemes in Program Based on Special Free Float and Synergistic Effects

Xu Chen, Jing-Chun Feng, Ying Zhao, Ting Hao Lu

Project delays can affect not only the entire program but also result in various losses to subsequent projects. However, in practice, there is no difference between a program and a single project regarding delay claims, and program owners bear these losses. Although …

cn (code pays fourni par la source)

Automatic generation of system model diagrams driven by multi-source heterogeneous data

Qiang Zhang, Jihong Liu, Lin Li, Xu Chen et autres

The demand for functionality, performance, safety, and reliability in complex product domains is continuously increasing, leading to growing product complexity. Traditional document-based systems engineering approaches face numerous challenges in terms of communication efficiency, traceability, and maintenance when dealing with complex product system …

cn (code pays fourni par la source)

A Literature Review of the Digital Thread: Definition, Key Technologies, and Applications

Qiang Zhang, Jihong Liu, Xu Chen

The digital thread, as a crucial technology for industrial digitization and the realization of smart manufacturing, has garnered extensive attention and research in recent years. Furthermore, there is a growing interest in the key technologies supporting the implementation of the digital thread. …

cn (code pays fourni par la source)

Evaluating a smartphone-based symptom self-monitoring app for psychosis in China (YouXin): A non-randomised validity and feasibility study with a mixed-methods design

Xiaolong Zhang, Shôn W. Lewis, Lesley‐Anne Carter, Xu Chen et autres

Background: Psychosis causes a significant burden globally, including in China, where limited mental health resources hinder access to care. Smartphone-based remote monitoring offers a promising solution. This study aimed to assess the validity, feasibility, acceptability, and safety of a symptom self-monitoring smartphone …

cn, gb (code pays fourni par la source)

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen et autres

We propose a multi-stage coarse-to-fine CNN-based framework, called SkullEngine, for high-resolution segmentation and large-scale landmark detection through a collaborative, integrated, and scalable JSD model and three segmentation and landmark detection refinement models. We evaluated our framework on a clinical dataset consisting of …

us (code pays fourni par la source)

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Deqiang Xiao, Han Deng, Tianshu Kuang, Lei Ma et autres

Virtual orthognathic surgical planning involves simulating surgical corrections of jaw deformities on 3D facial bony shape models. Due to the lack of necessary guidance, the planning procedure is highly experience-dependent and the planning results are often suboptimal. A reference facial bony shape …

Unsupervised learning of reference bony shapes for orthognathic surgical planning with a surface deformation network

Deqiang Xiao, Han Deng, Chunfeng Lian, Tianshu Kuang et autres

PURPOSE: The purpose of this study was to reduce the experience dependence during the orthognathic surgical planning that involves virtually simulating the corrective procedure for jaw deformities. METHODS: We introduce a geometric deep learning framework for generating reference facial bone shape models …

us, cn (code pays fourni par la source)

Habitat Suitability Evaluation of Four Ungulate Species in Baishuihe National Nature Reserve Based on MaxEnt Model

Ping Wen, Ke Peng, Xu Chen, Wei Yi et autres

MaxEnt model was used to evaluate habitat suitability of four ungulate protected species in Baishuihe National Nature Reserve. The results were as follows: (1) After 20 repetitions, the AUC values of training sets of Impala, Iguana, forest musk deer and Antelope were …