Zhichao Chen

Orcid: 0000-0001-5785-0741

Affiliations:
  • Zhejiang University, College of Control Science and Engineering, Hangzhou, China
  • Guangdong University of Petrochemical Technology, Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, Maoming, China


According to our database1, Zhichao Chen authored at least 17 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
2025
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025

2024
SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.
IEEE Trans. Ind. Informatics, December, 2024

Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling.
IEEE Trans. Ind. Informatics, December, 2024

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.
IEEE Trans. Ind. Informatics, November, 2024

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics.
IEEE Trans. Knowl. Data Eng., June, 2024

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.
CoRR, 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.
CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.
CoRR, 2024

2023
Directed Acyclic Graphs With Tears.
IEEE Trans. Artif. Intell., 2023

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors.
CoRR, 2023

Optimal Transport for Treatment Effect Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice.
IEEE Trans. Ind. Informatics, 2022

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications.
CoRR, 2022

ESCM<sup>2</sup>: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.
CoRR, 2022

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022


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