Hongwei Jin

Orcid: 0000-0001-9009-591X

According to our database1, Hongwei Jin authored at least 27 papers between 2011 and 2024.

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Bibliography

2024
C-S and Strongly C-S Orthogonal Matrices.
Axioms, February, 2024

2023
An Intelligent Prediction for the Innovation Capability of BIM Based on MSCNN-AMIGRU in Industrial Cyber Physical Systems.
IEEE Syst. J., December, 2023

The Moore-Penrose inverse of tensors via the M-product.
Comput. Appl. Math., September, 2023

Graph neural networks for detecting anomalies in scientific workflows.
Int. J. High Perform. Comput. Appl., July, 2023

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network.
Reliab. Eng. Syst. Saf., April, 2023

Characterizations of the Generalized MPCEP Inverse of Rectangular Matrices.
J. Appl. Math., 2023

Self-supervised Learning for Anomaly Detection in Computational Workflows.
CoRR, 2023

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection.
CoRR, 2023

2022
Workflow Anomaly Detection with Graph Neural Networks.
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data.
Remote. Sens., 2021

Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis.
J. Chem. Inf. Model., 2021

2020
TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network.
J. Chem. Inf. Model., 2020

Robust Training of Graph Convolutional Networks via Latent Perturbation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020

2018
A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs.
Comput. Electron. Agric., 2018

Detecting Coffee (Coffea Arabica L.) Sequential Flowering Events Based on Image Segmentation.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
The generalized inverses of tensors and an application to linear models.
Comput. Math. Appl., 2017

2014
An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs.
J. Chem. Inf. Model., 2014

2013
New Representations of the Group Inverse of 2×2 Block Matrices.
J. Appl. Math., 2013

Representations of generalized inverses of partitioned matrix involving Schur complement.
Appl. Math. Comput., 2013

2012
The absorption laws for the generalized inverses.
Appl. Math. Comput., 2012

Sentiment Analysis with Multi-source Product Reviews.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

2011
Incorporating Reviewer and Product Information for Review Rating Prediction.
Proceedings of the IJCAI 2011, 2011


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