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 46 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler.

[BibT_eX]

[DOI]

CoRR, April, 2026

ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment.

[BibT_eX]

[DOI]

CoRR, March, 2026

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects.

[BibT_eX]

[DOI]

CoRR, March, 2026

CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks.

[BibT_eX]

[DOI]

CoRR, March, 2026

Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-based Soft Sensors.

[BibT_eX]

[DOI]

CoRR, March, 2026

Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2026

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.

[BibT_eX]

[DOI]

CoRR, February, 2026

Deep Time-series Forecasting Needs Kernelized Moment Balancing.

[BibT_eX]

[DOI]

CoRR, February, 2026

Robust Missing Value Imputation With Proximal Optimal Transport for Low-Quality IIoT Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2026

Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2026

2025

Debiased Recommendation via Wasserstein Causal Balancing.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2025

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment.

[BibT_eX]

[DOI]

CoRR, October, 2025

From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training.

[BibT_eX]

[DOI]

CoRR, September, 2025

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.

[BibT_eX]

[DOI]

CoRR, July, 2025

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2025

TransDF: Time-Series Forecasting Needs Transformed Label Alignment.

[BibT_eX]

[DOI]

CoRR, May, 2025

$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, April, 2025

Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., February, 2025

DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring.

[BibT_eX]

[DOI]

CoRR, January, 2025

AKGNN: When Adaptive Graph Neural Network Meets Kolmogorov-Arnold Network for Industrial Soft Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Entire Space Counterfactual Learning for Reliable Content Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

Controllable Mixture-of-Experts for Multivariate Soft Sensors.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Optimal Transport for Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FreDF: Learning to Forecast in the Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, December, 2024

Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, December, 2024

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, November, 2024

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics.

[BibT_eX]

[DOI]

Zhichao Chen

Zhihuan Song

Zhiqiang Ge

IEEE Trans. Knowl. Data Eng., June, 2024

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Directed Acyclic Graphs With Tears.

[BibT_eX]

[DOI]

Zhichao Chen

Zhiqiang Ge

IEEE Trans. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Optimal Transport for Treatment Effect Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhichao Chen

Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Zhichao Chen

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