activity
20182026
most citedRevisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

13 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

gr-qc2026

Detectability to extreme mass ratio inspirals with alternative space-based detector networks

Chao Zhang, Gang Wang

Extreme mass ratio inspirals (EMRIs) are among the primary targets for space-based gravitational-wave (GW) detectors, providing valuable opportunities to study stellar-mass compact…

cs.LG2025

Adaptively Point-weighting Curriculum Learning

Wensheng Li, Yichao Tian, Hao Wang +4

Curriculum learning (CL) mimics human learning, in which easy samples are learned first, followed by harder samples, and has become an effective method for training deep networks.…

cs.LG2023★ 1 cited

Understanding Deep Neural Networks via Linear Separability of Hidden Layers

Chao Zhang, Xinyu Chen, Wensheng Li +3

In this paper, we measure the linear separability of hidden layer outputs to study the characteristics of deep neural networks. In particular, we first propose Minkowski difference…

cs.LG2022

AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data

Hao Wang, Lixue Liu, Xueguan Song +2

In tunnel boring machine (TBM) underground projects, an accurate description of the rock-soil types distributed in the tunnel can decrease the construction risk ({\it e.g.} surface…

cs.LG2022★ 13 cited

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

Wensheng Li, Chao Zhang, Chuncheng Wang +2

Physics-informed neural networks (PINNs) provide a deep learning framework for numerically solving partial differential equations (PDEs), and have been widely used in a variety of…

cs.LG2021★ 3 cited

GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins

Lixue Liu, Chao Zhang, Dacheng Tao

The Internet of Things (IoT) collects real-time data of physical systems, such as smart factory, intelligent robot and healtcare system, and provide necessary support for digital t…

cs.IT2018★ 2 cited

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications

Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh +2

In this paper, we study tail inequalities of the largest eigenvalue of a matrix infinitely divisible (i.d.) series, which is a finite sum of fixed matrices weighted by i.d. random…