Wenbo Cao

According to our database, Wenbo Cao authored at least 21 papers between 2006 and 2026.

Collaborative distances:

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

2026

Herculean: An Agentic Benchmark for Financial Intelligence.

Xueqing Peng, Zhuohan Xie, Yupeng Cao, Haohang Li, Lingfei Qian, Yan Wang, Vincent Jim Zhang, Huan He, Xuguang Ai, Linhai Ma, Ruoyu Xiang, Yueru He, Yi Han, Shuyao Wang, Yuqing Guo, Mingyang Jiang, Yilun Zhao, Youzhong Dong, Xiaoyu Wang, Yankai Chen, Ye Yuan, Qiyuan Zhang, Fuyuan Lyu, Haolun Wu, Yonghan Yang, Zichen Zhao, Yuyang Dai, Fan Zhang, Rania Elbadry, Ayesha Gull, Muhammad Usman Safder, Nuo Chen, Fengbin Zhu, Tianshi Cai, Zimu Wang, Polydoros Giannouris, Yuechen Jiang, Zhiwei Liu, Mohsinul Kabir, Yuyan Wang, Yixiang Zheng, Yangyang Yu, Weijin Liu, Wenbo Cao, Anke Xu, Peng Lu, Jerry Huang, Mingquan Lin, Prayag Tiwari, Yijia Zhao, Víctor Gutiérrez-Basulto, Xiao-Yang Liu, Kaleb E. Smith, Jiahuan Pei, Arman Cohan, Jimin Huang, Yuehua Tang, Alejandro Lopez-Lira, Xi Chen, Xue Liu, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou

CoRR, May, 2026

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks.

Yupeng Cao, Haohang Li, Weijin Liu, Wenbo Cao, Anke Xu, Lingfei Qian, Xueqing Peng, Minxue Tang, Zhiyuan Yao, Jimin Huang, K. P. Subbalakshmi, Zining Zhu, Jordan W. Suchow, Yangyang Yu

CoRR, April, 2026

A universal linearized subspace refinement framework for neural networks.

Wenbo Cao, Weiwei Zhang

CoRR, January, 2026

A robust one-shot method based on adjoint surrogate model for PDE-constrained optimization.

Jinpeng Xiang, Wenbo Cao, Shufang Song, Weiwei Zhang

J. Comput. Phys., 2026

Overcoming the loss conditioning bottleneck in optimization-based PDE solvers: a well-conditioned loss function.

Wenbo Cao, Weiwei Zhang

Commun. Nonlinear Sci. Numer. Simul., 2026

2025

A matrix preconditioning framework for physics-informed neural networks based on adjoint method.

Jiahao Song, Wenbo Cao, Weiwei Zhang

CoRR, August, 2025

Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function.

Wenbo Cao, Weiwei Zhang

CoRR, August, 2025

FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics.

Jiahao Song, Wenbo Cao, Weiwei Zhang

J. Comput. Phys., 2025

An analysis and solution of ill-conditioning in physics-informed neural networks.

Wenbo Cao, Weiwei Zhang

J. Comput. Phys., 2025

2024

A generalized framework for integrating machine learning into computational fluid dynamics.

Xuxiang Sun, Wenbo Cao, Xianglin Shan, Yilang Liu, Weiwei Zhang

J. Comput. Sci., 2024

Solving high-dimensional parametric engineering problems for inviscid flow around airfoils based on physics-informed neural networks.

Wenbo Cao, Jiahao Song, Weiwei Zhang

J. Comput. Phys., 2024

VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks.

Jiahao Song, Wenbo Cao, Fei Liao, Weiwei Zhang

CoRR, 2024

2023

Study on Propagation Characteristics of Guided Waves in Plate Structure via Semianalytical Wavelet Finite Element Method.

Yong Chang, Wenbo Cao, Nana Li, Zongyao Liu, Fucai Li, Liang Zeng, Qiao Wei, Xi Liu

IEEE Trans. Instrum. Meas., 2023

TSONN: Time-stepping-oriented neural network for solving partial differential equations.

Wenbo Cao, Weiwei Zhang

CoRR, 2023

2022

A novel convergence enhancement method based on Online Dimension Reduction Optimization.

Wenbo Cao, Yilang Liu, Xianglin Shan, Chuanqiang Gao, Weiwei Zhang

CoRR, 2022

2015

Quadratic Discriminant Analysis Revisited.

Wenbo Cao

PhD thesis, 2015

2014

Quadratic Discriminant Revisited.

Wenbo Cao, Robert M. Haralick

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012

Missing value imputation via copula and transformation methods, with applications to financial and economic data.

Craig Friedman, Jinggang Huang, Yangyong Zhang, Wenbo Cao

Int. J. Data Anal. Tech. Strateg., 2012

2007

Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation.

Wenbo Cao, Robert M. Haralick

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006

Linking the TPR1, DPR1 and Arrow-Head Matrix Structures.

Victor Y. Pan, Mikhail Kunin, Brian Murphy, Rhys Eric Rosholt, Yuqing Tang, Xiaodong Yan, Wenbo Cao

Comput. Math. Appl., 2006

Nonlinear Manifold Clustering By Dimensionality.

Wenbo Cao, Robert M. Haralick

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006