Tiefeng Ma - RankMe

29 papers Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A shape-enhanced outlier-detection framework for regression tasks. Knowl. Based Syst. Zhilin Xiong, Aihua Han, Tiefeng Ma, Shuangzhe Liu
2026	J	`jnl`	Step-wise incomplete multi-view clustering through joint utilization of structure and completion graphs. Inf. Fusion Qingyang Shu, Mingchang Cheng, Jianmei Ren, Tiefeng Ma, Aihua Han
2026	J	`jnl`	Tri-SEM: A shape-aware robust regression method via chain-like segmentation and residual analysis. Pattern Recognit. Zhilin Xiong, Aihua Han, Tiefeng Ma, Shuangzhe Liu
2025	J	`jnl`	A Distributed UAV Swarm Countermeasure Method Based on GNSS Spoofing. IEEE Internet Things J. Xingshou Geng, Kanghua Tang, Yan Guo, Lu Zhang, Wenqi Wu, Tiefeng Ma
2025	J	`jnl`	A grid-based boundary sharpening clustering algorithm. Eng. Appl. Artif. Intell. Lin Ma, Qijing Yan, Mengxia Lv, Tiefeng Ma, Mingchang Cheng
2025	J	`jnl`	A saddle point-guided clustering algorithm for data with complex structure. Knowl. Based Syst. Xiaogang Huang, Jun Jin, Dan Zhuang, Tiefeng Ma, Michel van de Velden, Shuangzhe Liu
2025	J	`jnl`	Aggregated center-based clustering algorithm based on principal component radius. Neurocomputing Mingchang Cheng, Liu Liu, Tiefeng Ma, Lin Ma, Qijing Yan
2025	J	`jnl`	CAM: Causality-driven Adaptive Sparsity and Hierarchical Memory for robust out-of-distribution learning in GNNs. Pattern Recognit. Ran Chen, Huaguang Zhu, Bofei Xiao, Tiefeng Ma
2025	J	`jnl`	Handling unobserved confounding for continuous sequential data via extracting key sub-intervals. Inf. Sci. Jianmei Ren, Tiefeng Ma, Shuangzhe Liu
2025	J	`jnl`	Revolutionizing graph classification generalization with an adaptive causality-enhanced framework. Neurocomputing Jiali Chen, Tiefeng Ma, Liwen Xu
2025	J	`jnl`	UniQuadric: A SLAM Backend for Unknown Rigid Object 3-D Tracking and Light-Weight Modeling. IEEE Trans. Intell. Transp. Syst. Linghao Yang, Yanmin Wu, Yu Deng, Rui Tian, Xinggang Hu, Tiefeng Ma
2024	J	`jnl`	PaVa: A novel path-based valley-seeking clustering algorithm. Inf. Sci. Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu
2023	J	`jnl`	A shape-based multiple segmentation algorithm for change-point detection. Comput. Ind. Eng. Dan Zhuang, Qijing Yan, Shuangzhe Liu, Tiefeng Ma, Youbo Liu
2023	J	`jnl`	Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection. Entropy Hang Liu, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2023	J	`jnl`	Distributed Penalized Modal Regression for Massive Data. J. Syst. Sci. Complex. Jun Jin, Shuangzhe Liu, Tiefeng Ma
2023	J	`jnl`	Fast Density-Based Clustering: Geometric Approach. Proc. ACM Manag. Data Xiaogang Huang, Tiefeng Ma
2023	J	`jnl`	GriT-DBSCAN: A spatial clustering algorithm for very large databases. Pattern Recognit. Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2023	J	`jnl`	On the approximation of Euclidean SL via geometric method. Inf. Sci. Xiaogang Huang, Tiefeng Ma
2023	J	`jnl`	PaVa: a novel Path-based Valley-seeking clustering algorithm. CoRR Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu
2023	J	`jnl`	UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling. CoRR Linghao Yang, Yanmin Wu, Yu Deng, Rui Tian, Xinggang Hu, Tiefeng Ma
2022	J	`jnl`	A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. Expert Syst. Appl. Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma
2022	J	`jnl`	Adaptive grid-based forest-like clustering algorithm. Neurocomputing Mingchang Cheng, Tiefeng Ma, Lin Ma, Jian Yuan, Qijing Yan
2022	J	`jnl`	GriT-DBSCAN: A Spatial Clustering Algorithm for Very Large Databases. CoRR Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2022	J	`jnl`	Matrix differential calculus with applications in the multivariate linear model and its diagnostics. J. Multivar. Anal. Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga
2021	J	`jnl`	Change-point detection based on adjusted shape context cost method. Inf. Sci. Qijing Yan, Youbo Liu, Shuangzhe Liu, Tiefeng Ma
2021	J	`jnl`	Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates. Comput. Stat. Jun Jin, Tiefeng Ma, Jiajia Dai, Shuangzhe Liu
2020	J	`jnl`	A shape-based cutting and clustering algorithm for multiple change-point detection. J. Comput. Appl. Math. Dan Zhuang, Youbo Liu, Shuangzhe Liu, Tiefeng Ma, Seng-Huat Ong
2020	J	`jnl`	Unsupervised feature selection via adaptive hypergraph regularized latent representation learning. Neurocomputing Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, Chang Tang
2019	J	`jnl`	A projection-based split-and-merge clustering algorithm. Expert Syst. Appl. Mingchang Cheng, Tiefeng Ma, Youbo Liu