We stand with Ukraine

We stand with Ukraine

Kaizheng Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Adaptive Querying with AI Persona Priors.

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CoRR, May, 2026

Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression.

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CoRR, April, 2026

SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation.

[DOI]

Grace Jiarui Fan

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Chengpiao Huang

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CoRR, April, 2026

A Review of Uncertainty Representation and Quantification in Neural Networks.

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Keivan Shariatmadar

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IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs.

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CoRR, March, 2026

Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study.

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CoRR, February, 2026

Learning Credal Ensembles via Distributionally Robust Optimization.

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Ghifari Adam Faza

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CoRR, February, 2026

A Particle Algorithm for Mean-Field Variational Inference.

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SIAM J. Optim., 2026

STFI: a spatio-temporal deep fusion architecture for high-accuracy fire spot identification near power transmission lines.

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Reliab. Eng. Syst. Saf., 2026

Modelling the impacting of extreme snow and ice conditions on energy flow in integrated energy systems.

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Int. J. Comput. Sci. Math., 2026

Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models.

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Mathias Verbeke

Expert Syst. Appl., 2026

Credal Ensemble Distillation for Uncertainty Quantification.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The Nonstationarity-Complexity Tradeoff in Return Prediction.

[DOI]

Agostino Capponi

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Chengpiao Huang

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J. Antonio Sidaoui

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CoRR, December, 2025

Model-Free Assessment of Simulator Fidelity via Quantile Curves.

[DOI]

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Yu-Shiou Willy Lin

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CoRR, December, 2025

A Minimalist Bayesian Framework for Stochastic Optimization.

[DOI]

CoRR, September, 2025

Epistemic Wrapping for Uncertainty Quantification.

[DOI]

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Neil Yorke-Smith

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Shireen Kudukkil Manchingal

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Muhammad Mubashar

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CoRR, May, 2025

A Cloud Detection Network Based on Adaptive Laplacian Coordination Enhanced Cross-Feature U-Net.

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Int. J. Neural Syst., February, 2025

Transfer Learning of CATE with Kernel Ridge Regression.

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CoRR, February, 2025

A Similarity Measure Between Functions with Applications to Statistical Learning and Optimization.

[DOI]

Chengpiao Huang

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CoRR, January, 2025

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

[DOI]

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Keivan Shariatmadar

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Shireen Kudukkil Manchingal

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Neural Networks, 2025

A Stability Principle for Learning Under Nonstationarity.

[DOI]

Chengpiao Huang

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Oper. Res., 2025

Global-local temporal attention network for short-term solar irradiance prediction.

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Int. J. Comput. Sci. Math., 2025

Uncertainty Quantification for LLM-Based Survey Simulations.

[DOI]

Chengpiao Huang

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

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification.

[DOI]

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Keivan Shariatmadar

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Random-Set Neural Networks.

[DOI]

Shireen Kudukkil Manchingal

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Muhammad Mubashar

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Keivan Shariatmadar

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Unified Evaluation Framework for Epistemic Predictions.

[DOI]

Shireen Kudukkil Manchingal

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Muhammad Mubashar

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Particle Algorithm for Mean-Field Variational Inference.

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CoRR, 2024

Localized exploration in contextual dynamic pricing achieves dimension-free regret.

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CoRR, 2024

Adaptive Transfer Clustering: A Unified Framework.

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CoRR, 2024

Distribution-Free Predictive Inference under Unknown Temporal Drift.

[DOI]

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Chengpiao Huang

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CoRR, 2024

Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection.

[DOI]

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Keivan Shariatmadar

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CoRR, 2024

Credal Deep Ensembles for Uncertainty Quantification.

[DOI]

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Shireen Kudukkil Manchingal

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Keivan Shariatmadar

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

Navigating the Waters of Object Detection: Evaluating the Robustness of Real-time Object Detection Models for Autonomous Surface Vehicles.

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Mathias Verbeke

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Model Assessment and Selection under Temporal Distribution Shift.

[DOI]

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Chengpiao Huang

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Target ranging and transmission line trip probability evaluation method based on divide-and-conquer thought.

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Proceedings of the 2024 8th International Conference on High Performance Compilation, 2024

2023

Cloud-fog-based approach for smart wildfire monitoring.

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Simul. Model. Pract. Theory, September, 2023

Study on the Erosion and Deposition Changes of Tidal Flat in Jiangsu Province Using ICESat-2 and Sentinel-2 Data.

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Remote. Sens., July, 2023

A Stability Principle for Learning under Non-Stationarity.

[DOI]

Chengpiao Huang

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CoRR, 2023

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning.

[DOI]

Shireen Kudukkil Manchingal

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Muhammad Mubashar

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Keivan Shariatmadar

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CoRR, 2023

Pseudo-labeling for Kernel Ridge Regression under Covariate Shift.

[DOI]

CoRR, 2023

Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection.

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CoRR, 2023

Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow.

[DOI]

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Philippe Rigollet

CoRR, 2023

2022

Variable Clustering via Distributionally Robust Nodewise Regression.

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CoRR, 2022

An introduction to optimization under uncertainty - A short survey.

[DOI]

Keivan Shariatmadar

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Calvin R. Hubbard

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CoRR, 2022

Adaptive Data Fusion for Multi-task Non-smooth Optimization.

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CoRR, 2022

Adaptive and Robust Multi-task Learning.

[DOI]

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CoRR, 2022

2021

Distributed Intersection Conflict Resolution for Multiple Vehicles Considering Longitudinal-Lateral Dynamics.

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IEEE Trans. Veh. Technol., 2021

Game-Theory-Inspired Hierarchical Distributed Control Strategy for Cooperative Intersection Considering Priority Negotiation.

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IEEE Trans. Veh. Technol., 2021

Clustering a Mixture of Gaussians with Unknown Covariance.

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CoRR, 2021

Robust State Estimation and Integrity Monitoring within Multi-Sensor Navigation System.

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CoRR, 2021

2020

Integrated Avoid Collision Control of Autonomous Vehicle Based on Trajectory Re-Planning and V2V Information Interaction.

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Sensors, 2020

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution.

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Found. Comput. Math., 2020

An 𝓁<sub>p</sub> theory of PCA and spectral clustering.

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CoRR, 2020

Efficient Clustering for Stretched Mixtures: Landscape and Optimality.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Some compact notations for concentration inequalities and user-friendly results.

[DOI]

CoRR, 2019

Communication-Efficient Accurate Statistical Estimation.

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CoRR, 2019

Thermal Aging Characteristics of Newly Synthesized Triester Insulation Oil.

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IEEE Access, 2019

2018

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion.

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Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking.

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CoRR, 2017

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