Kaizheng Wang

According to our database, Kaizheng Wang authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Model Assessment and Selection under Temporal Distribution Shift.

Elise Han, Chengpiao Huang, Kaizheng Wang

CoRR, 2024

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

Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez

CoRR, 2024

2023

Cloud-fog-based approach for smart wildfire monitoring.

Kaizheng Wang, Yitong Fu, Shunzhen Zhou, Ruohan Zhou, Gang Wen, Fangrong Zhou, Lulu Li, Guanqiu Qi

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.

Kaizheng Wang, Huan Li, Nan Zhang, Jiabao Zhang, Xiaoyan Zhang, Zheng Gong

Remote. Sens., July, 2023

A Stability Principle for Learning under Non-Stationarity.

Chengpiao Huang, Kaizheng Wang

CoRR, 2023

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

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

CoRR, 2023

Pseudo-labeling for Kernel Ridge Regression under Covariate Shift.

Kaizheng Wang

CoRR, 2023

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

Yang Yang, Kaixiong Xu, Kaizheng Wang

CoRR, 2023

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

Yuling Yan, Kaizheng Wang, Philippe Rigollet

CoRR, 2023

2022

Variable Clustering via Distributionally Robust Nodewise Regression.

Kaizheng Wang, Xiao Xu, Xun Yu Zhou

CoRR, 2022

An introduction to optimization under uncertainty - A short survey.

Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens

CoRR, 2022

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

Henry Lam, Kaizheng Wang, Yuhang Wu, Yichen Zhang

CoRR, 2022

Adaptive and Robust Multi-task Learning.

Yaqi Duan, Kaizheng Wang

CoRR, 2022

2021

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

Kaizheng Wang, Yafei Wang, Lin Wang, Haiping Du, Kanghyun Nam

IEEE Trans. Veh. Technol., 2021

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

Kaizheng Wang, Yafei Wang, Haiping Du, Kanghyun Nam

IEEE Trans. Veh. Technol., 2021

Clustering a Mixture of Gaussians with Unknown Covariance.

Damek Davis, Mateo Díaz, Kaizheng Wang

CoRR, 2021

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

Shuchen Liu, Kaizheng Wang, Dirk Abel, René Zweigel

CoRR, 2021

2020

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

Fen Lin, Kaizheng Wang, Youqun Zhao, Shaobo Wang

Sensors, 2020

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

Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen

Found. Comput. Math., 2020

An 𝓁_p theory of PCA and spectral clustering.

Emmanuel Abbe, Jianqing Fan, Kaizheng Wang

CoRR, 2020

Efficient Clustering for Stretched Mixtures: Landscape and Optimality.

Kaizheng Wang, Yuling Yan, Mateo Díaz

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.

Kaizheng Wang

CoRR, 2019

Communication-Efficient Accurate Statistical Estimation.

Jianqing Fan, Yongyi Guo, Kaizheng Wang

CoRR, 2019

Thermal Aging Characteristics of Newly Synthesized Triester Insulation Oil.

Kaizheng Wang, Feipeng Wang, Qi Zhao, Jian Li, Ziyi Lou, Qiuhuang Han, Kelin Hu

IEEE Access, 2019

2018

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

Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen

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

2017

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

Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang

CoRR, 2017