Kaizheng Wang - RankMe

62 papers A* 8A 1Journal 51Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Review of Uncertainty Representation and Quantification in Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2026	A*	`conf`	Credal Ensemble Distillation for Uncertainty Quantification. AAAI Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez
2026	J	`jnl`	Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models. Expert Syst. Appl. Yunjia Wang, Zihao Zhang, Kaizheng Wang, Holger Caesar, Jeroen Boydens, Davy Pissoort, Mathias Verbeke
2026	J	`jnl`	Learning Credal Ensembles via Distributionally Robust Optimization. CoRR Kaizheng Wang, Ghifari Adam Faza, Fabio Cuzzolin, Siu Lun Chau, David Moens, Hans Hallez
2026	J	`jnl`	Modelling the impacting of extreme snow and ice conditions on energy flow in integrated energy systems. Int. J. Comput. Sci. Math. Jian Wang, Hao Li, Zhanxi Zhang, Jieshan Shan, Fu Shen, Hongchun Shu, Yiming Han, Zilong Cai, Kaizheng Wang, Lei Kou
2026	J	`jnl`	Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs. CoRR Nathan Weill, Kaizheng Wang
2026	J	`jnl`	STFI: a spatio-temporal deep fusion architecture for high-accuracy fire spot identification near power transmission lines. Reliab. Eng. Syst. Saf. Kaizheng Wang, Yuxing Li, Jian Wang, Zhanxi Zhang, Shunzhen Zhou, Ruohan Zhou
2026	J	`jnl`	Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study. CoRR Kaizheng Wang, Yunjia Wang, Fabio Cuzzolin, David Moens, Hans Hallez, Siu Lun Chau
2025	J	`jnl`	A Cloud Detection Network Based on Adaptive Laplacian Coordination Enhanced Cross-Feature U-Net. Int. J. Neural Syst. Kaizheng Wang, Ruohan Zhou, Jian Wang, Ferrante Neri, Yitong Fu, Shunzhen Zhou
2025	J	`jnl`	A Minimalist Bayesian Framework for Stochastic Optimization. CoRR Kaizheng Wang
2025	J	`jnl`	A Similarity Measure Between Functions with Applications to Statistical Learning and Optimization. CoRR Chengpiao Huang, Kaizheng Wang
2025	J	`jnl`	A Stability Principle for Learning Under Nonstationarity. Oper. Res. Chengpiao Huang, Kaizheng Wang
2025	A	`conf`	A Unified Evaluation Framework for Epistemic Predictions. AISTATS Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	A Unified Evaluation Framework for Epistemic Predictions. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
2025	J	`jnl`	CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. Neural Networks Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez
2025	J	`jnl`	Credal Ensemble Distillation for Uncertainty Quantification. CoRR Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez
2025	A*	`conf`	Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. ICLR Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2025	J	`jnl`	Epistemic Wrapping for Uncertainty Quantification. CoRR Maryam Sultana, Neil Yorke-Smith, Kaizheng Wang, Shireen Kudukkil Manchingal, Muhammad Mubashar, Fabio Cuzzolin
2025	J	`jnl`	Global-local temporal attention network for short-term solar irradiance prediction. Int. J. Comput. Sci. Math. Jian Wang, Huiyuan Liu, Zhichong Dou, Jieshan Shan, Zhanxi Zhang, Fu Shen, Hongchun Shu, Yiming Han, Zilong Cai, Kaizheng Wang, Meng Wang, Dongkai Zhang, Lei Kou, Huiyuan Nie
2025	J	`jnl`	Model-Free Assessment of Simulator Fidelity via Quantile Curves. CoRR Garud Iyengar, Yu-Shiou Willy Lin, Kaizheng Wang
2025	A*	`conf`	Random-Set Neural Networks. ICLR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2025	J	`jnl`	The Nonstationarity-Complexity Tradeoff in Return Prediction. CoRR Agostino Capponi, Chengpiao Huang, J. Antonio Sidaoui, Kaizheng Wang, Jiacheng Zou
2025	J	`jnl`	Transfer Learning of CATE with Kernel Ridge Regression. CoRR Seok-Jin Kim, HongJie Liu, Molei Liu, Kaizheng Wang
2025	A*	`conf`	Uncertainty Quantification for LLM-Based Survey Simulations. ICML Chengpiao Huang, Yuhang Wu, Kaizheng Wang
2025	J	`jnl`	Uncertainty Quantification for LLM-Based Survey Simulations. CoRR Chengpiao Huang, Yuhang Wu, Kaizheng Wang
2024	J	`jnl`	A Particle Algorithm for Mean-Field Variational Inference. CoRR Qiang Du, Kaizheng Wang, Edith Zhang, Chenyang Zhong
2024	J	`jnl`	Adaptive Transfer Clustering: A Unified Framework. CoRR Yuqi Gu, Zhongyuan Lyu, Kaizheng Wang
2024	J	`jnl`	CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. CoRR Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez
2024	A*	`conf`	Credal Deep Ensembles for Uncertainty Quantification. NeurIPS Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez
2024	J	`jnl`	Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. CoRR Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
2024	J	`jnl`	Distribution-Free Predictive Inference under Unknown Temporal Drift. CoRR Elise Han, Chengpiao Huang, Kaizheng Wang
2024	J	`jnl`	Localized exploration in contextual dynamic pricing achieves dimension-free regret. CoRR Jinhang Chai, Yaqi Duan, Jianqing Fan, Kaizheng Wang
2024	A*	`conf`	Model Assessment and Selection under Temporal Distribution Shift. ICML Elise Han, Chengpiao Huang, Kaizheng Wang
2024	J	`jnl`	Model Assessment and Selection under Temporal Distribution Shift. CoRR Elise Han, Chengpiao Huang, Kaizheng Wang
2024	—	`conf`	Navigating the Waters of Object Detection: Evaluating the Robustness of Real-time Object Detection Models for Autonomous Surface Vehicles. CAI Yunjia Wang, Kaizheng Wang, Zihao Zhang, Jeroen Boydens, Davy Pissoort, Mathias Verbeke
2024	—	`conf`	Target ranging and transmission line trip probability evaluation method based on divide-and-conquer thought. HP3C Jian Wang, Hao Li, Kaizheng Wang, Jieshan Shan, Zilong Cai, Jian Song, Xiaohan Jiang, Lei Kou, Huiyuan Nie, Xiangyu Tang
2023	J	`jnl`	A Stability Principle for Learning under Non-Stationarity. CoRR Chengpiao Huang, Kaizheng Wang
2023	J	`jnl`	Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection. CoRR Yang Yang, Kaixiong Xu, Kaizheng Wang
2023	J	`jnl`	Cloud-fog-based approach for smart wildfire monitoring. Simul. Model. Pract. Theory Kaizheng Wang, Yitong Fu, Shunzhen Zhou, Ruohan Zhou, Gang Wen, Fangrong Zhou, Lulu Li, Guanqiu Qi
2023	J	`jnl`	Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow. CoRR Yuling Yan, Kaizheng Wang, Philippe Rigollet
2023	J	`jnl`	Pseudo-labeling for Kernel Ridge Regression under Covariate Shift. CoRR Kaizheng Wang
2023	J	`jnl`	Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. CoRR Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
2023	J	`jnl`	Study on the Erosion and Deposition Changes of Tidal Flat in Jiangsu Province Using ICESat-2 and Sentinel-2 Data. Remote. Sens. Kaizheng Wang, Huan Li, Nan Zhang, Jiabao Zhang, Xiaoyan Zhang, Zheng Gong
2022	J	`jnl`	Adaptive Data Fusion for Multi-task Non-smooth Optimization. CoRR Henry Lam, Kaizheng Wang, Yuhang Wu, Yichen Zhang
2022	J	`jnl`	Adaptive and Robust Multi-task Learning. CoRR Yaqi Duan, Kaizheng Wang
2022	J	`jnl`	An introduction to optimization under uncertainty - A short survey. CoRR Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens
2022	J	`jnl`	Variable Clustering via Distributionally Robust Nodewise Regression. CoRR Kaizheng Wang, Xiao Xu, Xun Yu Zhou
2021	J	`jnl`	Clustering a Mixture of Gaussians with Unknown Covariance. CoRR Damek Davis, Mateo Díaz, Kaizheng Wang
2021	J	`jnl`	Distributed Intersection Conflict Resolution for Multiple Vehicles Considering Longitudinal-Lateral Dynamics. IEEE Trans. Veh. Technol. Kaizheng Wang, Yafei Wang, Lin Wang, Haiping Du, Kanghyun Nam
2021	J	`jnl`	Game-Theory-Inspired Hierarchical Distributed Control Strategy for Cooperative Intersection Considering Priority Negotiation. IEEE Trans. Veh. Technol. Kaizheng Wang, Yafei Wang, Haiping Du, Kanghyun Nam
2021	J	`jnl`	Robust State Estimation and Integrity Monitoring within Multi-Sensor Navigation System. CoRR Shuchen Liu, Kaizheng Wang, Dirk Abel, René Zweigel
2020	J	`jnl`	An 𝓁 CoRR Emmanuel Abbe, Jianqing Fan, Kaizheng Wang
2020	A*	`conf`	Efficient Clustering for Stretched Mixtures: Landscape and Optimality. NeurIPS Kaizheng Wang, Yuling Yan, Mateo Díaz
2020	J	`jnl`	Efficient Clustering for Stretched Mixtures: Landscape and Optimality. CoRR Kaizheng Wang, Yuling Yan, Mateo Díaz
2020	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2020	J	`jnl`	Integrated Avoid Collision Control of Autonomous Vehicle Based on Trajectory Re-Planning and V2V Information Interaction. Sensors Fen Lin, Kaizheng Wang, Youqun Zhao, Shaobo Wang
2019	J	`jnl`	Communication-Efficient Accurate Statistical Estimation. CoRR Jianqing Fan, Yongyi Guo, Kaizheng Wang
2019	J	`jnl`	Some compact notations for concentration inequalities and user-friendly results. CoRR Kaizheng Wang
2019	J	`jnl`	Thermal Aging Characteristics of Newly Synthesized Triester Insulation Oil. IEEE Access Kaizheng Wang, Feipeng Wang, Qi Zhao, Jian Li, Ziyi Lou, Qiuhuang Han, Kelin Hu
2018	A*	`conf`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017	J	`jnl`	Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang