60 citations · 124 across the 8 of their papers we have counts for
8 papers
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
Ping Guo, Qingfu Zhang, Xi Lin
In many real-world applications, the Pareto Set (PS) of a continuous multiobjective optimization problem can be a piecewise continuous manifold. A decision maker may want to find a…
Tailoring Bulk Photovoltaic Effects in Magnetic Sliding Ferroelectric Materials
Chunmei Zhang, Ping Guo, Jian Zhou
The bulk photovoltaic effect that is intimately associated with crystalline symmetry has been extensively studied in various nonmagnetic materials, especially ferroelectrics with a…
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables
Penglei Gao, Xi Yang, Rui Zhang +3
While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in t…
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi +3
Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…
Stochastic trajectory prediction with social graph network
Lidan Zhang, Qi She, Ping Guo
Pedestrian trajectory prediction is a challenging task because of the complexity of real-world human social behaviors and uncertainty of the future motion. For the first issue, exi…
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks
P. Guo, K. Wang, X. L. Zhou
In this work, a non-gradient descent learning (NGDL) scheme was proposed for deep feedforward neural networks (DNN). It is known that an autoencoder can be used as the building blo…