A complete classification of spatial relations using the Voronoi-based nine-intersection model. - Zhiguo Long; Sanjiang Li (Int. J. Geogr. Inf. Sci., 2013)

On Redundant Topological Constraints. - Matt Duckham; Sanjiang Li; Weiming Liu 001; Zhiguo Long (KR, 2014)

On Distributive Subalgebras of Qualitative Spatial and Temporal Calculi. - Zhiguo Long; Sanjiang Li (COSIT, 2015)

On redundant topological constraints. - Sanjiang Li; Zhiguo Long; Weiming Liu 001; Matt Duckham; Alan Both (Artif. Intell., 2015)

On Redundancy in Simple Temporal Networks. - Jae Hee Lee 001; Sanjiang Li; Zhiguo Long; Michael Sioutis (ECAI, 2016)

Efficient Path Consistency Algorithm for Large Qualitative Constraint Networks. - Zhiguo Long; Michael Sioutis; Sanjiang Li (IJCAI, 2016)

Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. - Zhiguo Long; Steven Schockaert; Sanjiang Li (KR, 2016)

Efficiently Reasoning about Qualitative Constraints through Variable Elimination. - Michael Sioutis; Zhiguo Long; Sanjiang Li (SETN, 2016)

Indexing large geographic datasets with compact qualitative representation. - Zhiguo Long; Matt Duckham; Sanjiang Li; Steven Schockaert (Int. J. Geogr. Inf. Sci., 2016)

Dimensionality reduction by soft-margin support vector machine. - Ruipeng Dong; Hua Meng 001; Zhiguo Long; Hailiang Zhao (ICA, 2017)

On Redundant Topological Constraints (Extended Abstract). - Sanjiang Li; Zhiguo Long; Weiming Liu 001; Matt Duckham; Alan Both (IJCAI, 2017)

On tree-preserving constraints. - Shufeng Kong; Sanjiang Li; Yongming Li 001; Zhiguo Long (Ann. Math. Artif. Intell., 2017)

Qualitative spatial and temporal representation and reasoning : efficiency in time and space - Zhiguo Long (2017)

Leveraging Variable Elimination for Efficiently Reasoning about Qualitative Constraints. - Michael Sioutis; Zhiguo Long; Sanjiang Li (Int. J. Artif. Intell. Tools, 2018)

基于数据分布特征的线性孪生支持向量机 (Linear Twin Support Vector Machine Based on Data Distribution Characteristics). - Ruiyang Song; Hua Meng 001; Zhiguo Long (计算机科学, 2019)

On Robustness in Qualitative Constraint Networks. - Michael Sioutis; Zhiguo Long; Tomi Janhunen (IJCAI, 2020)

Semi-Supervised Dimensionality Reduction by Linear Compression and Stretching. - Zhiguo Long; Hua Meng 001; Michael Sioutis (IEEE Access, 2020)

Compact geometric representation of qualitative directional knowledge. - Zhiguo Long; Hua Meng 001; Tianrui Li 001; Sanjiang Li (Knowl. Based Syst., 2020)

On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal. - Qiyuan Hu; Yang Gao; Zhiguo Long; Hongjun Wang 002; Tianrui Li 001; Michael Sioutis (ISKE, 2021)

A Logic for Iterated Belief Revision. - Hua Meng 001; Zhiguo Long; Yong Wang; Bin Xing; Hui Zhang (ISKE, 2021)

Particle Swarm Optimization for Clustering Ensemble. - Yu Zheng; Zhiguo Long; Chuanyang Wei; Hongjun Wang 002 (ISKE, 2021)

An Incremental Algorithm for Handling Qualitative Spatio-Temporal Information. - Zhiguo Long; Qiyuan Hu; Hua Meng 001; Michael Sioutis (COSIT, 2022)

Hybrid AI Systems Grounded on Qualitative Spatio-Temporal Reasoning. - Michael Sioutis; Zhiguo Long (SETN, 2022)

Approximating Region Boundaries Based on Qualitative and Quantitative Information. - Zhiguo Long; Michael Sioutis; Qingqian Li; Hua Meng 001; Heng-Chao Li 001 (IEEE Intell. Syst., 2022)

Clustering based on local density peaks and graph cut. - Zhiguo Long; Yang Gao; Hua Meng 001; Yuqin Yao; Tianrui Li 001 (Inf. Sci., 2022)

A framework for belief revision under restrictions. - Zhiguo Long; Hua Meng 001; Tianrui Li 001; Heng-Chao Li 001; Michael Sioutis (Knowl. Eng. Rev., 2022)

On Neuro-Symbolic Challenges in Directional Relation Prediction. - Junjie Peng; Michael Sioutis; Zhiguo Long (STRL@IJCAI, 2023)

Enhanced Density Clustering Based on Density Decay Structure and Spectral Clustering. - Yutong Ke; Zhiguo Long; Hua Meng 001 (ISKE, 2023)

Linear dimensionality reduction method based on topological properties. - Yuqin Yao; Hua Meng 001; Yang Gao; Zhiguo Long; Tianrui Li 001 (Inf. Sci., 2023)

Fast Flexible Bipartite Graph Model for Co-Clustering. - Wei Chen 141; Hongjun Wang 002; Zhiguo Long; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction. - Hua Meng 001; Hanlin Zhang; Yu Ding; Shuxia Ma; Zhiguo Long (Appl. Intell., 2023)

TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization. - Haowen Ma; Zhiguo Long; Hua Meng 001 (CoRR, 2024)

Semi-supervised clustering guided by pairwise constraints and local density structures. - Zhiguo Long; Yang Gao; Hua Meng 001; Yuxu Chen; Hui Kou (Pattern Recognit., 2024)

A machine learning based approach for generating point sketch maps from qualitative directional information. - Zhiguo Long; Qingqian Li; Hua Meng 001; Michael Sioutis (Int. J. Geogr. Inf. Sci., 2024)

Clustering by Mining Density Distributions and Splitting Manifold Structure. - Zhichang Xu; Zhiguo Long; Hua Meng 001 (AAAI, 2025)

Subspace clustering with self-representation sparsification and regression via connected components. - Zhiguo Long; Rui Guan; Yi Gao; Hua Meng 001; Rong Luo (Appl. Soft Comput., 2025)

Deep spectral clustering by integrating local structure and prior information. - Hua Meng 001; Yueyi Zhang; Zhiguo Long (Knowl. Based Syst., 2025)

On Definite Iterated Belief Revision with Belief Algebras. - Hua Meng 001; Zhiguo Long; Michael Sioutis; Zhengchun Zhou (CoRR, 2025)