Wenhan Cao

36 papers A* 1C 1Journal 27Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM.
CoRR
Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo, Zike Yan, Pengying Wu, Ieng Hou U, Shuaiyang Li, Han Gao, Kang Ding, Wenhan Cao, Wei Pan, Chang Liu
2026 J jnl
Global trends, regional disparities and key determinants of neonatal sepsis: A pan-database analysis from 1990 to 2021.
Comput. Biol. Medicine
Zhenglin Chang, Wenhan Cao, Qianjun Li, Yuerong Chen, Youpeng Chen, Haiyang Li, Bingsen Chen, Zhiman Liang, Haojie Wu, Xiujin Han, Guohua Zeng, Zhangkai J. Cheng, Baoqing Sun
2026 J jnl
One-Step Sampler for Boltzmann Distributions via Drifting.
CoRR
Wenhan Cao, Keyu Yan, Lin Zhao
2025 J jnl
Algorithm Design and Comparative Test of Natural Gradient Gaussian Approximation Filter.
CoRR
Wenhan Cao, Tianyi Zhang, Shengbo Eben Li
2025 J jnl
Convolutional Unscented Kalman Filter for Multi-Object Tracking With Outliers.
IEEE Trans. Intell. Veh.
Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
2025 J jnl
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems.
CoRR
Weixian He, Zeyu He, Wenhan Cao, Haoyu Gao, Tong Liu, Bin Shuai, Chang Liu, Shengbo Eben Li
2025 J jnl
NANO-SLAM : Natural Gradient Gaussian Approximation for Vehicle SLAM.
CoRR
Tianyi Zhang, Wenhan Cao, Chang Liu, Feihong Zhang, Wei Wu, Shengbo Eben Li
2025 — conf
NANO-SLAM: Natural Gradient Gaussian Approximation for Vehicle SLAM.
ITSC
Tianyi Zhang, Wenhan Cao, Chang Liu, Feihong Zhang, Wei Wu, Shengbo Eben Li
2025 J jnl
One Filters All: A Generalist Filter for State Estimation.
CoRR
Shiqi Liu, Wenhan Cao, Chang Liu, Zeyu He, Tianyi Zhang, Shengbo Eben Li
2025 J jnl
Robust Bayesian inference for moving horizon estimation.
Autom.
Wenhan Cao, Chang Liu, Zhiqian Lan, Shengbo Eben Li, Wei Pan, Angelo Alessandri
2025 J jnl
Robust State Estimation for Legged Robots With Dual Beta Kalman Filter.
IEEE Robotics Autom. Lett.
Tianyi Zhang, Wenhan Cao, Chang Liu, Tao Zhang, Jiangtao Li, Shengbo Eben Li
2024 J jnl
3D-Printed Hydraulic Fluidic Logic Circuitry for Soft Robots.
CoRR
Yuxin Lin, Xinyi Zhou, Wenhan Cao
2024 J jnl
Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem.
CoRR
Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan
2024 J jnl
Collecting Larg-Scale Robotic Datasets on a High-Speed Mobile Platform.
CoRR
Yuxin Lin, Jiaxuan Ma, Sizhe Gu, Jipeng Kong, Bowen Xu, Xiting Zhao, Dengji Zhao, Wenhan Cao, Sören Schwertfeger
2024 — conf
Collecting Large-Scale Robotic Datasets on a High-Speed Mobile Platform.
ROBIO
Yuxin Lin, Jiaxuan Ma, Sizhe Gu, Jipeng Kong, Bowen Xu, Xiting Zhao, Dengji Zhao, Wenhan Cao, Sören Schwertfeger
2024 — conf
Computation-Aware Learning for Stable Control with Gaussian Process.
Robotics: Science and Systems
Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan
2024 J jnl
Computation-Aware Learning for Stable Control with Gaussian Process.
CoRR
Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan
2024 J jnl
Convolutional Bayesian Filtering.
CoRR
Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li
2024 J jnl
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers.
CoRR
Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
2024 A* conf
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control.
ICLR
Wenhan Cao, Wei Pan
2024 J jnl
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control.
CoRR
Wenhan Cao, Wei Pan
2024 J jnl
Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation.
CoRR
Wenhan Cao, Tianyi Zhang, Zeju Sun, Chang Liu, Stephen S.-T. Yau, Shengbo Eben Li
2024 J jnl
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control.
IEEE Trans. Autom. Control.
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
2024 J jnl
Robust State Estimation for Legged Robots with Dual Beta Kalman Filter.
CoRR
Tianyi Zhang, Wenhan Cao, Chang Liu, Tao Zhang, Jiangtao Li, Shengbo Eben Li
2023 C conf
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.
ACC
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
2023 J jnl
Spatiotemporal clustering analysis and zonal prediction model for deformation behavior of super-high arch dams.
Expert Syst. Appl.
Wenhan Cao, Zhiping Wen, Huaizhi Su
2022 J jnl
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.
CoRR
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
2022 J jnl
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control.
CoRR
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
2022 — conf
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.
CDC
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
2022 J jnl
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.
CoRR
Jingliang Duan, Wenhan Cao, Yang Zheng, Lin Zhao
2022 — conf
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.
CDC
Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
2022 J jnl
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.
CoRR
Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
2021 J jnl
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems.
CoRR
Kaiming Tang, Shengbo Eben Li, Yuming Yin, Yang Guan, Jingliang Duan, Wenhan Cao, Jie Li
2021 — conf
Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.
ITSC
Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng
2020 J jnl
Reinforcement Solver for H-infinity Filter with Bounded Noise.
CoRR
Jie Li, Shengbo Eben Li, Kaiming Tang, Yao Lv, Wenhan Cao
2019 — conf
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.
ITSC
Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng