Wenkai Xu

According to our database, Wenkai Xu authored at least 37 papers between 2011 and 2025.

Collaborative distances:

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

2025

Automated fish counting system based on instance segmentation in aquaculture.

Guangxu Wang, Jiaxuan Yu, Wenkai Xu, Akhter Muhammad, Daoliang Li

Expert Syst. Appl., 2025

2024

Behavioral response of fish under ammonia nitrogen stress based on machine vision.

Wenkai Xu, Chang Liu, Guangxu Wang, Yue Zhao, Jiaxuan Yu, Akhter Muhammad, Daoliang Li

Eng. Appl. Artif. Intell., 2024

Split Conformal Prediction under Data Contamination.

Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert

CoRR, 2024

SteinGen: Generating Fidelitous and Diverse Graph Samples.

Gesine Reinert, Wenkai Xu

CoRR, 2024

Stereo matching and 3D reconstruction with NeRF supervision for accurate weight estimation in free-swimming fish.

Guangxu Wang, Xin Li, Jiaxuan Yu, Wenkai Xu, Muhammad Akhter, Shangyi Ji, Yinfeng Hao, Daoliang Li

Comput. Electron. Agric., 2024

2023

A Deep Learning-Based Multi-objective Optimization Model for PM2.5 Prediction.

Wenkai Xu, Fengchen Fu, Qingqing Zhang, Lei Wang

Int. J. Comput. Intell. Syst., December, 2023

An improved YOLOv5 method for clam seedlings biological feature detection under the microscope.

Yue Zhao, Jiangchuan Fan, Yongcheng Jiang, Xinyu Guo, Wenbo Gou, Weiliang Wen, Xianju Lu, Wenkai Xu, Chunjiang Zhao, Liping Chen

Comput. Electron. Agric., November, 2023

A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics.

Wenkai Xu, Li Wang, Shiwen Sun, Chengyi Xia, Zengqiang Chen

Sci. China Inf. Sci., August, 2023

Model Reuse With Reduced Kernel Mean Embedding Specification.

Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2023

Learning Nonlinear Causal Effect via Kernel Anchor Regression.

Wenqi Shi, Wenkai Xu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Recognition and counting of typical apple pests based on deep learning.

Tiewei Wang, Longgang Zhao, Baohua Li, Xinwei Liu, Wenkai Xu, Juan Li

Ecol. Informatics, 2022

Nonlinear Causal Discovery via Kernel Anchor Regression.

Wenqi Shi, Wenkai Xu

CoRR, 2022

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics.

Moritz Weckbecker, Wenkai Xu, Gesine Reinert

CoRR, 2022

Detection and classification of tea buds based on deep learning.

Wenkai Xu, Longgang Zhao, Juan Li, Shuqi Shang, Xiping Ding, Tiewei Wang

Comput. Electron. Agric., 2022

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators.

Wenkai Xu, Gesine D. Reinert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Kernelised Stein Statistic for Assessing Implicit Generative Models.

Wenkai Xu, Gesine D. Reinert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit.

Wenkai Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs.

Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama

Neural Comput., 2021

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data.

Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold.

Wenkai Xu, Takeru Matsuda

Proceedings of the 38th International Conference on Machine Learning, 2021

A Stein Goodness-of-test for Exponential Random Graph Models.

Wenkai Xu, Gesine Reinert

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish.

Wenkai Xu, Zhaohu Zhu, Fengli Ge, Zhongzhi Han, Juan Li

Sensors, 2020

A kernel test for quasi-independence.

Tamara Fernandez, Wenkai Xu, Marc Ditzhaus, Arthur Gretton

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

Learning Deep Kernels for Non-Parametric Two-Sample Tests.

Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland

Proceedings of the 37th International Conference on Machine Learning, 2020

Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data.

Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton

Proceedings of the 37th International Conference on Machine Learning, 2020

Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method.

Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning

Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

Vulnerability Analysis of Urban Rail Transit Network under Line Interruption Operation.

Liqiao Ning, Binglei Xie, Xi Zhang, Wenkai Xu

Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

A Stein Goodness-of-fit Test for Directional Distributions.

Wenkai Xu, Takeru Matsuda

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Series-parallel Mixed Structure FFT Processor.

Hua Jiang, Wenkai Xu

Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019

A Character Superposition Method Based on Object Detection.

Wenkai Xu, Jian Cen, Hushan Li, Jie Zhao, Lianyue Hu

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2017

A Linear-Time Kernel Goodness-of-Fit Test.

Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

MultiView-Based Hand Posture Recognition Method Based on Point Cloud.

Wenkai Xu, Ick-Soo Lee, Suk-Kwan Lee, Bo Lu, Eung-Joo Lee

KSII Trans. Internet Inf. Syst., 2015

A Robust Method for Partially Occluded Face Recognition.

Wenkai Xu, Suk-Hwan Lee, Eung-Joo Lee

KSII Trans. Internet Inf. Syst., 2015

A Novel Method for Hand Posture Recognition Based on Depth Information DescriptorT.

Wenkai Xu, Eung-Joo Lee

KSII Trans. Internet Inf. Syst., 2015

2014

Direct Numerical Simulation of Twin Swirling Flow Jets: Effect of Vortex-Vortex Interaction on Turbulence Modification.

Wenkai Xu, Nan Gui, Liang Ge, Jie Yan

J. Comput. Eng., 2014

2013

A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm.

Wenkai Xu, Eung-Joo Lee

KSII Trans. Internet Inf. Syst., 2013

2011

Intelligent Music Player Based on Human Motion Recognition.

Wenkai Xu, Soo-Yol Ok, Eung-Joo Lee

Proceedings of the Multimedia, Computer Graphics and Broadcasting, 2011