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学术报告-Revisiting Graph Convolutional Networks: From Paradigm to Application（图）
学术报告 图神经网络 王石平
2024/4/15
图神经网络（Graph Neural Network，GNN）是指使用神经网络来学习图结构数据，提取和发掘图结构数据中的特征和模式，满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据（网络数据）中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此，本次汇报将从一种特殊的谱图神经网络（图卷积神经网络）出发，介绍相应的消息传递范式，揭示传统机器学习和图神经网络的内在关联，并...
医学部汪天富、雷柏英教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
雷柏英教授 生物医学工程 深圳大学医学部
2023/10/23
近期，深圳大学医学部生物医学工程学院汪天富、雷柏英教授团队的研究成果《MHW-GAN: Multi-discriminator Hierarchical Wavelet Generative Adversarial Network for Multi-modal Image Fusion》在顶级期刊IEEE Transactions on Neural Networks and Learning ...
中国科学院半导体研究所高速电路与神经网络实验室刘婧逸博士一篇论文被人工智能顶刊Neural Networks录用（图）
中国科学院 高速电路 神经网络 刘婧逸 人工智能 Neural Networks
2023/11/28
近日，实验室2021级博士研究生刘婧逸的学术论文《SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression》被人工智能顶级期刊Neural Networks录用。《Neural Networks》是世界上三个最古老的神经建模学会的档案期刊:国际神经网络学会(INNS)、欧洲神经网络学会(EN...
深圳大学医学部汪天富教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表系列重要文章（图）
生物医学工程 汪天富教授 深圳大学医学部
2023/10/23
近日，医学部生物医学工程学院汪天富教授团队在人工智能领域顶级国际期刊《IEEE Transactions on Neural Networks and Learning Systems》（中科院大类一区，TOP期刊，IF:14.255）上发表了系列研究成果。
In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation:...
A method for designing neural networks optimally suited for certain tasks（图）
神经网络 机器学习模型 计算机网络
2023/6/20
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Generalization of Graph Neural Networks and Graph Structural Learning for Robust Representation
图神经网络 泛化 图结构学习 鲁棒表示
2023/4/18
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Realization of Boolean Control Networks
布尔控制网络 解耦问题 最小实现
2023/4/26
In this talk, we discuss the realization of Boolean control networks (BCNs) and apply obtained results to some decoupling problems. It is proved that the minimum realization (MR) of a BCN exists uniqu...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：On multi-networks data analysis: methods and applications
多网络 数据分析 静态网络模型
2023/5/5
Networks arise in many areas of research and applications, which come in all shapes and sizes. The most studied and best understood are static network models. Many other network models are also in exi...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
深圳大学医学部汪天富教授在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
汪天富教授 深圳大学医学部 人工智能
2023/10/25
近日，深圳大学医学部生物医学工程学院汪天富教授团队的研究成果《Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification》在人工智能领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems（2020 IF: 10.451）上发表。该...
Deep learning networks may prefer the human voice--as we do（图）
Deep learning networks prefer human voice
2021/4/23
The digital revolution is built on a foundation of binaries, invisible 1s and 0s called bits. The notion that computers prefer to "speak" in binary numbers is rarely questioned. According to new resea...
VAULT MODELING WITH NEURAL NETWORKS
Automation Machine learning Modeling Neural Network Point cloud Vault
2019/3/1
Nowadays, the digital reconstruction of vaults is carried out using photogrammetric and laser scanning techniques able to capture the visible surface with dense point clouds. Then, different modeling ...