Wenkai Xu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Causal Discovery

Random Graph Models

Top Venues

Comput. Electron. Agric.

KSII Trans. Internet Inf. Syst.

Publications

Wenkai Xu, Chang Liu, Guangxu Wang, Yue Zhao, Jiaxuan Yu, Akhter Muhammad, Daoliang Li
Behavioral response of fish under ammonia nitrogen stress based on machine vision. Eng. Appl. Artif. Intell. 128 (2024)
Gesine Reinert, Wenkai Xu
SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR (2024)
Guangxu Wang, Xin Li, Jiaxuan Yu, Wenkai Xu, Muhammad Akhter, Shangyi Ji, Yinfeng Hao, Daoliang Li
Stereo matching and 3D reconstruction with NeRF supervision for accurate weight estimation in free-swimming fish. Comput. Electron. Agric. 225 (2024)
Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
Split Conformal Prediction under Data Contamination. CoRR (2024)
Wenqi Shi, Wenkai Xu
Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI (2023)
Yue Zhao, Jiangchuan Fan, Yongcheng Jiang, Xinyu Guo, Wenbo Gou, Weiliang Wen, Xianju Lu, Wenkai Xu, Chunjiang Zhao, Liping Chen
An improved YOLOv5 method for clam seedlings biological feature detection under the microscope. Comput. Electron. Agric. 214 (2023)
Wenkai Xu, Fengchen Fu, Qingqing Zhang, Lei Wang
A Deep Learning-Based Multi-objective Optimization Model for PM2.5 Prediction. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Wenkai Xu, Li Wang, Shiwen Sun, Chengyi Xia, Zengqiang Chen
A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics. Sci. China Inf. Sci. 66 (8) (2023)
Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Tiewei Wang, Longgang Zhao, Baohua Li, Xinwei Liu, Wenkai Xu, Juan Li
Recognition and counting of typical apple pests based on deep learning. Ecol. Informatics 68 (2022)
Wenqi Shi, Wenkai Xu
Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR (2022)
Wenkai Xu, Gesine D. Reinert
A Kernelised Stein Statistic for Assessing Implicit Generative Models. NeurIPS (2022)
Wenkai Xu, Gesine Reinert
A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR (2022)
Wenkai Xu
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit. AISTATS (2022)
Wenkai Xu, Gesine D. Reinert
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. NeurIPS (2022)
Wenkai Xu, Gesine Reinert
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR (2022)
Moritz Weckbecker, Wenkai Xu, Gesine Reinert
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR (2022)
Wenkai Xu, Longgang Zhao, Juan Li, Shuqi Shang, Xiping Ding, Tiewei Wang
Detection and classification of tea buds based on deep learning. Comput. Electron. Agric. 192 (2022)
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. NeurIPS (2021)
Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs. Neural Comput. 33 (8) (2021)
Wenkai Xu, Takeru Matsuda
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. ICML (2021)
Wenkai Xu, Gesine Reinert
A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS (2021)
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. CoRR (2021)
Liqiao Ning, Binglei Xie, Xi Zhang, Wenkai Xu
Vulnerability Analysis of Urban Rail Transit Network under Line Interruption Operation. ICITE (2020)
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML (2020)
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR (2020)
Tamara Fernandez, Wenkai Xu, Marc Ditzhaus, Arthur Gretton
A kernel test for quasi-independence. NeurIPS (2020)
Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning
Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method. ICITE (2020)
Wenkai Xu, Takeru Matsuda
A Stein Goodness-of-fit Test for Directional Distributions. AISTATS (2020)
Wenkai Xu, Zhaohu Zhu, Fengli Ge, Zhongzhi Han, Juan Li
Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish. Sensors 20 (16) (2020)
Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. ICML (2020)
Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR (2020)
Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. CoRR (2020)
Wenkai Xu, Jian Cen, Hushan Li, Jie Zhao, Lianyue Hu
A Character Superposition Method Based on Object Detection. BICS (2019)
Hua Jiang, Wenkai Xu
A Series-parallel Mixed Structure FFT Processor. ICDSP (2019)
Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs. CoRR (2019)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. NIPS (2017)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. CoRR (2017)
Wenkai Xu, Ick-Soo Lee, Suk-Kwan Lee, Bo Lu, Eung-Joo Lee
MultiView-Based Hand Posture Recognition Method Based on Point Cloud. KSII Trans. Internet Inf. Syst. 9 (7) (2015)
Wenkai Xu, Suk-Hwan Lee, Eung-Joo Lee
A Robust Method for Partially Occluded Face Recognition. KSII Trans. Internet Inf. Syst. 9 (7) (2015)
Wenkai Xu, Eung-Joo Lee
A Novel Method for Hand Posture Recognition Based on Depth Information DescriptorT. KSII Trans. Internet Inf. Syst. 9 (2) (2015)
Wenkai Xu, Nan Gui, Liang Ge, Jie Yan
Direct Numerical Simulation of Twin Swirling Flow Jets: Effect of Vortex-Vortex Interaction on Turbulence Modification. J. Comput. Eng. 2014 (2014)
Wenkai Xu, Eung-Joo Lee
A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm. KSII Trans. Internet Inf. Syst. 7 (11) (2013)
Wenkai Xu, Soo-Yol Ok, Eung-Joo Lee
Intelligent Music Player Based on Human Motion Recognition. FGIT-MulGraB (1) (2011)