convolutional performance stability predicts
2024-01-13 Can't perform a React state update on an unmounted component. This is a no-op, but it indicates a memory leak in your application. ==》引用了未使用的方法导致
react+antd业务代码报错： Can't perform a React state update on an unmounted component. This is a no-op, but it indicates a memory leak in your application. T ......
【WALT】predict_and_update_buckets() 与 update_task_pred_demand() 代码详解
@目录【WALT】predict_and_update_buckets() 与 update_task_pred_demand() 代码详解代码展示代码逻辑⑴ 根据 runtime 给出桶的下标⑵ 根据桶的下标预测 pred_demand1. 如果任务刚被创建，直接结束2. 根据下标 bidx 和数 ......
curl_easy_perform() failed: Problem with the SSL CA cert (path? access rights?)
curl_easy_perform() failed: Problem with the SSL CA cert (path? access rights?) 最近遇到了一个这个问题 发现是因为自己加了一个这个 curl_easy_setopt(pCURL, CURLOPT_SSL_OPTIONS, ......
Predict potential miRNA-disease associations based on bounded nuclear norm regularization
Predict potential miRNA-disease associations based on bounded nuclear norm regularization 2023/12/8 16:00:57 Predicting potential miRNA-disease associ ......
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
目录概符号说明MMGCN代码 Wei Y., Wang X., Nie L., He X., Hong R. and Chua T. MMGCN: Multi-modal graph convolution network for personalized recommendation of mic ......
08.W3C performance api
Web Performance Working Group The mission of the Web Performance Working Group is to provide methods to measureaspects of application performance of u ......
LandBench 1.0: a benchmark dataset and evaluation metrics for data-driven land surface variables prediction
李老师对于landbench的，基准模型进行的论文。 里面对于变量，数据集的描述，写论文可以用。 题目： “LandBench 1.0: a benchmark dataset and evaluation metrics for data-driven land surface variables ......
（15-418）Lecture 5 Performance Optimization Part 1 Work Distribution and Scheduling
高性能编程的三个目标： 执行单元的负载均衡 减少线程、进程间的交流 减少额外开销 尽量先实现一个最简单的解决方案，之后对其扩展以提高性能。 Balancing the workload 理想情况下，所有处理器在整个程序执行期间都忙于计算。 根据Amdahl定律，程序中的串行部分的比例对最大加速比有很 ......
高等数值分析（高性能计算，并行计算） (Parallel and High Performance Computing)
https://github.com/OpenMP https://math.ecnu.edu.cn/~jypan/Teaching/ParaComp/ Parallel and High Performance Computing(高等数值分析（高性能计算，并行计算)) 基本信息： 教材：本课程主 ......
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation * Authors: [[Meng-Hao Guo]], [[Cheng-Ze Lu]], [[Qibin Hou]], [[Zhengning ......
Fully convolutional networks for semantic segmentation
Fully convolutional networks for semantic segmentation * Authors: [[Jonathan Long]], [[Evan Shelhamer]], [[Trevor Darrell]] DOI: 10.1109/CVPR.2015.729 ......
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation * Authors: [[Olaf Ronneberger]], [[Philipp Fischer]], [[Thomas Brox]] Local library 初读 ......
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions 可变形卷积v3
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions * Authors: [[Wenhai Wang]], [[Jifeng Dai]], [[Zhe Chen]], [[Z ......
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network * Authors: [[Wenzhe Shi]], [[Jose Caballer ......
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module * Authors: [[Sanghyun Woo]], [[Jongchan Park]], [[Joon-Young Lee]], [[In So Kweon]] doi:https://doi.org/10. ......
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting 初读印象 comment:: （计数用的一个网络）提出了一个标度优先的可变形卷积，将典范的信息，例如标度，整合到计数网络主干中。 动机 本文考 ......
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images * Authors: [[Bowei Du]], [[Yecheng ......
Predicting Drug-Target Interactions. drug-target interactions prediction
2023 [j22] Junjun Zhang, Minzhu Xie:Graph regularized non-negative matrix factorization with L2,1 norm regularization terms for drug-target interactio ......
Ansor：Generating High-Performance Tensor Program for Deep Learning
Ansor：Generating High-Performance Tensor Program for Deep Learning Abstract 高性能的张量程序对于保证深度神经网络的高效执行十分关键，但是在不同硬件平台上获取高性能的张量程序并不容易。近年的研究中，深度学习系统依赖硬件供应商提 ......
pure-admin pnpm ERR_PNPM_FROZEN_LOCKFILE_WITH_OUTDATED_LOCKFILE Cannot perform a frozen installation because the version of the lockfile is incompatible with this version of pnpm
事情是这样的，用的开源pure-admin 的框架，用的是pnpm,本地环境都是可以的，但是发布到生成就报以下错误 然后看部署参数，是这样的，强制用了lock文件，本来也没问题 报错的意思是json 文件跟pnpm-lock.json 文件不匹配 但是本地看着是匹配的，随便挑选几个包版本看着也是一致 ......
论文精读：STMGCN利用时空多图卷积网络进行移动边缘计算驱动船舶轨迹预测（STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network）
《STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network》 论文链接：https://doi.org/10. ......
如何将 performance_schema 中的 TIMER 字段转换为日期时间
问题 最近有好几个朋友问，如何将 performance_schema.events_statements_xxx 中的 TIMER 字段（主要是TIMER_START和TIMER_END）转换为日期时间。 因为 TIMER 字段的单位是皮秒（picosecond），所以很多童鞋会尝试直接转换，但转 ......
论文精读：基于具有时空感知的稀疏多图卷积混合网络的大数据驱动船舶轨迹预测（Big data driven trajectory prediction based on sparse multi-graph convolutional hybrid network withspatio-temporal awareness）
论文精读：基于具有时空感知的稀疏多图卷积混合网络的大数据驱动船舶轨迹预测 《Big data driven vessel trajectory prediction based on sparse multi-graph convolutional hybrid network with spati ......
Performance Improvements in .NET 8 & 7 & 6 -- Thread【翻译】
线程 .NET 的最近版本在线程、并行、并发和异步等方面做出了巨大的改进，例如 ThreadPool 的完全重写（在 .NET 6 和 .NET 7 中），异步方法基础设施的完全重写（在 .NET Core 2.1 中），ConcurrentQueue 的完全重写（在 .NET Core 2.0 中 ......
A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations
A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations Shiru Li 1, Minzhu Xie 1, Xi ......
Drug response prediction using graph representation learning and Laplacian feature selection
Drug response prediction using graph representation learning and Laplacian feature selection Minzhu Xie 1 2, Xiaowen Lei 3, Jianchen Zhong 3, Jianxing ......
Predict potential miRNA-disease associations based on bounded nuclear norm regularization
Predict potential miRNA-disease associations based on bounded nuclear norm regularization Yidong Rao 1, Minzhu Xie 1, Hao Wang 1 Affiliations expand P ......
Predicting gene expression from histone modifications with self-attention based neural networks and transfer learning
Predicting gene expression from histone modifications with self-attention based neural networks and transfer learning Yuchi Chen 1, Minzhu Xie 1, Jie ......
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction
Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interactions prediction Junjun Zhang 1 ......
LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm
LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm Minzhu Xie 1, Ruijie Xie 2, Hao Wang 3 Affiliations exp ......