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Wenkai Xu
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2020 – today
- 2025
- [j16]Guangxu Wang, Jiaxuan Yu, Wenkai Xu, Akhter Muhammad, Daoliang Li:
Automated fish counting system based on instance segmentation in aquaculture. Expert Syst. Appl. 259: 125318 (2025) - 2024
- [j15]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: 109255 (2024) - [j14]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: 107442 (2024) - [i12]Gesine Reinert, Wenkai Xu:
SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR abs/2403.18578 (2024) - [i11]Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert:
Split Conformal Prediction under Data Contamination. CoRR abs/2407.07700 (2024) - 2023
- [j13]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: 108352 (2023) - [j12]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) - [j11]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): 141 (2023) - [j10]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): 699-710 (2023) - [c17]Wenqi Shi, Wenkai Xu:
Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI 2023: 1942-1952 - 2022
- [j9]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: 106547 (2022) - [j8]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: 101556 (2022) - [c16]Wenkai Xu:
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit. AISTATS 2022: 1575-1597 - [c15]Wenkai Xu, Gesine D. Reinert:
A Kernelised Stein Statistic for Assessing Implicit Generative Models. NeurIPS 2022 - [c14]Wenkai Xu, Gesine D. Reinert:
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. NeurIPS 2022 - [i10]Wenkai Xu, Gesine Reinert:
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR abs/2203.03673 (2022) - [i9]Wenkai Xu, Gesine Reinert:
A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR abs/2206.00149 (2022) - [i8]Moritz Weckbecker, Wenkai Xu, Gesine Reinert:
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR abs/2210.05746 (2022) - [i7]Wenqi Shi, Wenkai Xu:
Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR abs/2210.16775 (2022) - 2021
- [j7]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): 2128-2162 (2021) - [c13]Wenkai Xu, Gesine Reinert:
A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS 2021: 415-423 - [c12]Wenkai Xu, Takeru Matsuda:
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. ICML 2021: 11502-11513 - [c11]Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland:
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. NeurIPS 2021: 5848-5860 - [i6]Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland:
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. CoRR abs/2106.07636 (2021) - 2020
- [j6]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): 4425 (2020) - [c10]Wenkai Xu, Takeru Matsuda:
A Stein Goodness-of-fit Test for Directional Distributions. AISTATS 2020: 320-330 - [c9]Liqiao Ning, Binglei Xie, Xi Zhang, Wenkai Xu:
Vulnerability Analysis of Urban Rail Transit Network under Line Interruption Operation. ICITE 2020: 313-318 - [c8]Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning:
Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method. ICITE 2020: 503-507 - [c7]Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton:
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. ICML 2020: 3112-3122 - [c6]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML 2020: 6316-6326 - [c5]Tamara Fernandez, Wenkai Xu, Marc Ditzhaus, Arthur Gretton:
A kernel test for quasi-independence. NeurIPS 2020 - [i5]Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR abs/2001.07135 (2020) - [i4]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR abs/2002.09116 (2020) - [i3]Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton:
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. CoRR abs/2008.08397 (2020)
2010 – 2019
- 2019
- [c4]Wenkai Xu, Jian Cen, Hushan Li, Jie Zhao, Lianyue Hu:
A Character Superposition Method Based on Object Detection. BICS 2019: 322-330 - [c3]Hua Jiang, Wenkai Xu:
A Series-parallel Mixed Structure FFT Processor. ICDSP 2019: 49-54 - [i2]Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama:
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs. CoRR abs/1907.09588 (2019) - 2017
- [c2]Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton:
A Linear-Time Kernel Goodness-of-Fit Test. NIPS 2017: 262-271 - [i1]Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton:
A Linear-Time Kernel Goodness-of-Fit Test. CoRR abs/1705.07673 (2017) - 2015
- [j5]Wenkai Xu, Eung-Joo Lee:
A Novel Method for Hand Posture Recognition Based on Depth Information DescriptorT. KSII Trans. Internet Inf. Syst. 9(2): 763-774 (2015) - [j4]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): 2585-2598 (2015) - [j3]Wenkai Xu, Suk-Hwan Lee, Eung-Joo Lee:
A Robust Method for Partially Occluded Face Recognition. KSII Trans. Internet Inf. Syst. 9(7): 2667-2682 (2015) - 2014
- [j2]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: 313201:1-313201:14 (2014) - 2013
- [j1]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): 2720-2736 (2013) - 2011
- [c1]Wenkai Xu, Soo-Yol Ok, Eung-Joo Lee:
Intelligent Music Player Based on Human Motion Recognition. FGIT-MulGraB (1) 2011: 387-396
Coauthor Index
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