Wenkai Xu - RankMe

49 papers A* 7A 4Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DACDM-CR: Discriminative attention and cloud-aware dynamic mamba for SAR-assisted optical data cloud removal. Digit. Signal Process. Wenkai Xu, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang, Wenlong Wang
2025	J	`jnl`	Automated fish counting system based on instance segmentation in aquaculture. Expert Syst. Appl. Guangxu Wang, Jiaxuan Yu, Wenkai Xu, Akhter Muhammad, Daoliang Li
2025	J	`jnl`	Automatic fish weight estimation and 3D surface reconstruction with a lightweight instance segmentation model. Expert Syst. Appl. Guangxu Wang, Jiaxuan Yu, Sitao Liu, Wenkai Xu, Xin Li, Yinfeng Hao, Daoliang Li
2025	J	`jnl`	SDYOLO-Tracker: An efficient multi-fish hypoxic behavior recognition and tracking method. Comput. Electron. Agric. Jiaxuan Yu, Guangxu Wang, Xin Li, Zhuangzhuang Du, Wenkai Xu, Muhammad Akhter, Daoliang Li
2024	J	`jnl`	Behavioral response of fish under ammonia nitrogen stress based on machine vision. Eng. Appl. Artif. Intell. Wenkai Xu, Chang Liu, Guangxu Wang, Yue Zhao, Jiaxuan Yu, Akhter Muhammad, Daoliang Li
2024	—	`conf`	Split Conformal Prediction under Data Contamination. COPA Jason Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
2024	J	`jnl`	Split Conformal Prediction under Data Contamination. CoRR Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
2024	J	`jnl`	SteinGen: Generating Fidelitous and Diverse Graph Samples. CoRR Gesine Reinert, Wenkai Xu
2024	J	`jnl`	Stereo matching and 3D reconstruction with NeRF supervision for accurate weight estimation in free-swimming fish. Comput. Electron. Agric. Guangxu Wang, Xin Li, Jiaxuan Yu, Wenkai Xu, Muhammad Akhter, Shangyi Ji, Yinfeng Hao, Daoliang Li
2023	J	`jnl`	A Deep Learning-Based Multi-objective Optimization Model for PM2.5 Prediction. Int. J. Comput. Intell. Syst. Wenkai Xu, Fengchen Fu, Qingqing Zhang, Lei Wang
2023	J	`jnl`	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. Wenkai Xu, Li Wang, Shiwen Sun, Chengyi Xia, Zengqiang Chen
2023	J	`jnl`	An improved YOLOv5 method for clam seedlings biological feature detection under the microscope. Comput. Electron. Agric. Yue Zhao, Jiangchuan Fan, Yongcheng Jiang, Xinyu Guo, Wenbo Gou, Weiliang Wen, Xianju Lu, Wenkai Xu, Chunjiang Zhao, Liping Chen
2023	A	`conf`	Learning Nonlinear Causal Effect via Kernel Anchor Regression. UAI Wenqi Shi, Wenkai Xu
2023	J	`jnl`	Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
2022	A*	`conf`	A Kernelised Stein Statistic for Assessing Implicit Generative Models. NeurIPS Wenkai Xu, Gesine D. Reinert
2022	J	`jnl`	A Kernelised Stein Statistic for Assessing Implicit Generative Models. CoRR Wenkai Xu, Gesine Reinert
2022	A*	`conf`	AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. NeurIPS Wenkai Xu, Gesine D. Reinert
2022	J	`jnl`	AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators. CoRR Wenkai Xu, Gesine Reinert
2022	J	`jnl`	Detection and classification of tea buds based on deep learning. Comput. Electron. Agric. Wenkai Xu, Longgang Zhao, Juan Li, Shuqi Shang, Xiping Ding, Tiewei Wang
2022	J	`jnl`	Nonlinear Causal Discovery via Kernel Anchor Regression. CoRR Wenqi Shi, Wenkai Xu
2022	J	`jnl`	On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics. CoRR Moritz Weckbecker, Wenkai Xu, Gesine Reinert
2022	J	`jnl`	Recognition and counting of typical apple pests based on deep learning. Ecol. Informatics Tiewei Wang, Longgang Zhao, Baohua Li, Xinwei Liu, Wenkai Xu, Juan Li
2022	A	`conf`	Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit. AISTATS Wenkai Xu
2021	A	`conf`	A Stein Goodness-of-test for Exponential Random Graph Models. AISTATS Wenkai Xu, Gesine Reinert
2021	J	`jnl`	Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs. Neural Comput. Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
2021	A*	`conf`	Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. ICML Wenkai Xu, Takeru Matsuda
2021	A*	`conf`	Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. NeurIPS Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
2021	J	`jnl`	Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. CoRR Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
2020	A	`conf`	A Stein Goodness-of-fit Test for Directional Distributions. AISTATS Wenkai Xu, Takeru Matsuda
2020	A*	`conf`	A kernel test for quasi-independence. NeurIPS Tamara Fernandez, Wenkai Xu, Marc Ditzhaus, Arthur Gretton
2020	J	`jnl`	Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish. Sensors Wenkai Xu, Zhaohu Zhu, Fengli Ge, Zhongzhi Han, Juan Li
2020	A*	`conf`	Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. ICML Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton
2020	J	`jnl`	Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data. CoRR Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton
2020	A*	`conf`	Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
2020	J	`jnl`	Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
2020	J	`jnl`	Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
2020	—	`conf`	Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method. ICITE Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning
2020	—	`conf`	Vulnerability Analysis of Urban Rail Transit Network under Line Interruption Operation. ICITE Liqiao Ning, Binglei Xie, Xi Zhang, Wenkai Xu
2019	—	`conf`	A Character Superposition Method Based on Object Detection. BICS Wenkai Xu, Jian Cen, Hushan Li, Jie Zhao, Lianyue Hu
2019	—	`conf`	A Series-parallel Mixed Structure FFT Processor. ICDSP Hua Jiang, Wenkai Xu
2019	J	`jnl`	Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs. CoRR Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
2017	—	`conf`	A Linear-Time Kernel Goodness-of-Fit Test. NIPS Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
2017	J	`jnl`	A Linear-Time Kernel Goodness-of-Fit Test. CoRR Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
2015	J	`jnl`	A Novel Method for Hand Posture Recognition Based on Depth Information DescriptorT. KSII Trans. Internet Inf. Syst. Wenkai Xu, Eung-Joo Lee
2015	J	`jnl`	A Robust Method for Partially Occluded Face Recognition. KSII Trans. Internet Inf. Syst. Wenkai Xu, Suk-Hwan Lee, Eung-Joo Lee
2015	J	`jnl`	MultiView-Based Hand Posture Recognition Method Based on Point Cloud. KSII Trans. Internet Inf. Syst. Wenkai Xu, Ick-Soo Lee, Suk-Kwan Lee, Bo Lu, Eung-Joo Lee
2014	J	`jnl`	Direct Numerical Simulation of Twin Swirling Flow Jets: Effect of Vortex-Vortex Interaction on Turbulence Modification. J. Comput. Eng. Wenkai Xu, Nan Gui, Liang Ge, Jie Yan
2013	J	`jnl`	A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm. KSII Trans. Internet Inf. Syst. Wenkai Xu, Eung-Joo Lee
2011	—	`conf`	Intelligent Music Player Based on Human Motion Recognition. FGIT-MulGraB (1) Wenkai Xu, Soo-Yol Ok, Eung-Joo Lee