Xingfu Li

26 papers B 5C 1Misc 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Complexity of Sequence-to-Graph Alignment with Co-Linear Chaining.
CoRR
Xingfu Li
2026 J jnl
Polynomial-Time Solutions for Longest Common Subsequence Related Problems Between a Sequence and a Pangenome Graph.
CoRR
Xingfu Li, Yongping Wang
2025 J jnl
A Statistical Learning Method for the Prediction of Anti-HIV Activity Using Topological Indices Based on Steiner Eccentricity.
J. Appl. Math.
Xingfu Li
2025 J jnl
An O(kn)-Time Algorithm to Solve Steiner (k, k′)-Eccentricity on Trees.
Axioms
Xingfu Li
2025 J jnl
The NazoNazo Benchmark: A Cost-Effective and Extensible Test of Insight-Based Reasoning in LLMs.
CoRR
Masaharu Mizumoto, Dat Nguyen, Zhiheng Han, Jiyuan Fang, Heyuan Guan, Xingfu Li, Naoya Shiraishi, Xuyang Tian, Yo Nakawake, Le Minh Nguyen
2024 J jnl
An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery.
J. King Saud Univ. Comput. Inf. Sci.
Bangchao Wang, Zhiyuan Zou, Hongyan Wan, Yuanbang Li, Yang Deng, Xingfu Li
2024 B conf
MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery.
IJCNN
Xingfu Li, Bangchao Wang, Hongyan Wan, Yuanbang Li, Han Jiang, Yang Deng, Zhiyuan Zou
2024 J jnl
MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits.
J. King Saud Univ. Comput. Inf. Sci.
Yang Deng, Bangchao Wang, Qiang Zhu, Junping Liu, Jiewen Kuang, Xingfu Li
2023 B conf
A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability.
SMC
Bangchao Wang, Xingfu Li, Hongyan Wan, Yang Deng
2023 B conf
An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods.
IJCNN
Bangchao Wang, Zihan Wang, Hongyan Wan, Xingfu Li, Yang Deng
2023 C conf
Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S).
SEKE
Xingfu Li, Bangchao Wang, Hongyan Wan, Yang Deng, Zihan Wang
2023 B conf
DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code.
SMC
Bangchao Wang, Yang Deng, Hongyan Wan, Xingfu Li
2022 — conf
Chinese Comments Classification and Hotspot Mining Algorithm based on Natural Language Processing.
ISSSR
Xingfu Li, Zhongyuan Hua, Huan Jin, Xinyi Lan, Bangchao Wang
2022 J jnl
The Average Eccentricity of Block Graphs: A Block Order Sequence Perspective.
Axioms
Xingfu Li, Guihai Yu, Kinkar Chandra Das
2022 J jnl
Topological indices based on 2- or 3-eccentricity to predict anti-HIV activity.
Appl. Math. Comput.
Guihai Yu, Xingfu Li, Deyan He
2021 J jnl
A 43-approximation algorithm for the Maximum Internal Spanning Tree Problem.
J. Comput. Syst. Sci.
Xingfu Li, Daming Zhu, Lusheng Wang
2021 J jnl
On the average Steiner 3-eccentricity of trees.
Discret. Appl. Math.
Xingfu Li, Guihai Yu, Sandi Klavzar
2021 J jnl
On the computational complexity of the Steiner k-eccentricity.
CoRR
Xingfu Li, Guihai Yu, Aleksandar Ilic, Sandi Klavzar
2021 J jnl
The Steiner
Theor. Comput. Sci.
Xingfu Li, Guihai Yu, Sandi Klavzar, Jie Hu, Bo Li
2021 J jnl
The average Steiner 3-eccentricity of block graphs.
J. Appl. Math. Comput.
Xingfu Li, Guihai Yu
2020 J jnl
Connective Steiner 3-eccentricity index and network similarity measure.
Appl. Math. Comput.
Guihai Yu, Xingfu Li
2018 J jnl
Construction of Multilayer Porous Scaffold Based on Magnetically Guided Assembly of Microfiber.
J. Syst. Sci. Complex.
Xingfu Li, Huaping Wang, Qing Shi, Tao Sun, Qiang Huang, Toshio Fukuda
2018 J jnl
Solving the maximum internal spanning tree problem on interval graphs in polynomial time.
Theor. Comput. Sci.
Xingfu Li, Haodi Feng, Haitao Jiang, Binhai Zhu
2016 Misc conf
A Polynomial Time Algorithm for Finding a Spanning Tree with Maximum Number of Internal Vertices on Interval Graphs.
FAW
Xingfu Li, Haodi Feng, Haitao Jiang, Binhai Zhu
2014 J jnl
A 4/3-approximation algorithm for finding a spanning tree to maximize its internal vertices.
CoRR
Xingfu Li, Daming Zhu
2014 B conf
Approximating the Maximum Internal Spanning Tree Problem via a Maximum Path-Cycle Cover.
ISAAC
Xingfu Li, Daming Zhu