K-Means on Commodity GPUs with CUDA. - Hongtao Bai; Lili He 002; Dantong Ouyang; Zhan-Shan Li; He Li (CSIE (3), 2009)

Computing Minimal Diagnosis with Binary Decision Diagrams Algorithm. - Kun Wang; Zhan-Shan Li; Yang Ai; Yonggang Zhang 002 (FSKD (1), 2009)

An Ontology-Based Platform for Scientific Writing and Publishing. - Hao Xu 012; Changhai Zhang; Yang Ai; Ziwen Wang; Zhan-Shan Li (FGIT, 2010)

Singleton arc consistency based on failure-first principle. - Zhan-Shan Li; Shi-Mei Xing; Feng-Jie Yang; Hui-Ying Du (ICMLC, 2010)

Large Scale Diagnosis Using Associations between System Outputs and Components. - Ting Guo; Zhanshan Li; Ruizhi Guo; Xingquan Zhu 001 (AAAI, 2011)

MaxRPC Algorithms Based on Bitwise Operations. - Jinsong Guo; Zhanshan Li; Liang Zhang; Xuena Geng (CP, 2011)

Partial Max-restricted Path Consistency. - Jinsong Guo; Zhanshan Li; Hongbo Li 005 (ICTAI, 2012)

Efficient Singleton Consistency by Combining Forward Checking and Bound Consistency. - Jinsong Guo; Zhanshan Li; Yonggang Zhang 002 (ICTAI, 2012)

Making Simple Tabular ReductionWorks on Negative Table Constraints. - Hongbo Li 005; Yanchun Liang 001; Jinsong Guo; Zhanshan Li (AAAI, 2013)

Reducing consistency checks in generating corrective explanations for interactive constraint satisfaction. - Hongbo Li 005; Haijiao Shen; Zhanshan Li; Jinsong Guo (Knowl. Based Syst., 2013)

An optimal algorithm to compute maximal relaxations in parallel. - Mingyue Wang; Na Wang; Chi Zhang; Dehong Ma; Zhanshan Li (ICNC, 2014)

Efficient Singleton Consistency by Combining Forward Checking and Bound Consistency. - Jinsong Guo; Hongbo Li 005; Zhanshan Li; Yonggang Zhang 002; Xianghua Jia (Int. J. Artif. Intell. Tools, 2014)

Reverse twin plant for efficient diagnosability testing and optimizing. - Boyu Li 003; Ting Guo; Xingquan Zhu 001; Zhanshan Li (Eng. Appl. Artif. Intell., 2015)

Optimizing Simple Tabular Reduction with a Bitwise Representation. - Ruiwei Wang; Wei Xia; Roland H. C. Yap; Zhanshan Li (IJCAI, 2016)

An Ideal Fine-Grained GAC Algorithm for Table Constraints. - Limeng Qiao; Zhenhui Xu; Jin Dong; Yuan Shao; Xin Tong; Zhanshan Li (ICSI (1), 2016)

Improving degree-based variable ordering heuristics for solving constraint satisfaction problems. - Hongbo Li 005; Yanchun Liang 001; Ning Zhang 006; Jinsong Guo; Dong Xu 002; Zhanshan Li (J. Heuristics, 2016)

Optimizing Cuckoo Feature Selection Algorithm with the New Initialization Strategy and Fitness Function. - Yingying Wang; Zhanshan Li; Haihong Yu; Lei Deng (ICCCS (1), 2018)

A New Variable-Oriented Propagation Scheme for Constraint Satisfaction Problem. - Zhe Li 017; Mingqi Yang; Zhanshan Li (KSEM (2), 2018)

A Novel Strategy of Combining Variable Ordering Heuristics for Constraint Satisfaction Problems. - Hongbo Li 005; Zhanshan Li (IEEE Access, 2018)

基于SAC的特征选择算法 (Feature Selection Algorithm Using SAC Algorithm). - Menglin Zhang; Zhanshan Li (计算机科学, 2018)

BIFFOA: A Novel Binary Improved Fruit Fly Algorithm for Feature Selection. - Yun Hou; Jingyao Li; Haihong Yu; Zhanshan Li (IEEE Access, 2019)

A Novel Multi-Thread Parallel Constraint Propagation Scheme. - Zhe Li 017; Zhezhou Yu; Peng Wu; Jianan Chen 006; Zhanshan Li (IEEE Access, 2019)

Multi-band Weighted lp Norm Minimization for Color and Multispectral Image Denoising. - Yanchi Su; Zhanshan Li (CoRR, 2019)

OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection. - Bo Zhang 079; Xinkai Yang; Biao Hu 004; Zhaogeng Liu; Zhanshan Li (IEEE Access, 2020)

Multi-band weighted lp norm minimization for image denoising. - Yanchi Su; Zhanshan Li; Haihong Yu; Zeyu Wang 009 (Inf. Sci., 2020)

Failure Based Variable Ordering Heuristics for Solving CSPs (Short Paper). - Hongbo Li 005; Minghao Yin; Zhanshan Li (CP, 2021)

Self-Weighted Supervised Discriminative Feature Selection via Redundancy Minimization. - Haihong Yu; Liangliang Zhang; Zhanshan Li (IEEE Access, 2021)

Revisiting the efficacy of weak consistencies: a study of forward checking. - Zhe Li 017; Zhezhou Yu; Hongbo Li 005; Jinsong Guo; Zhanshan Li (Sci. China Inf. Sci., 2021)

Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization. - Hang Zhou; Yanchi Su; Zhanshan Li (CoRR, 2021)

A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation. - Guisheng Chen; Zhanshan Li (Entropy, 2021)

Feature concatenation for adversarial domain adaptation. - Jingyao Li; Zhanshan Li; Shuai Lü 001 (Expert Syst. Appl., 2021)

Multi-label learning with label-specific features via weighting and label entropy guided clustering ensemble. - Chunyu Zhang; Zhanshan Li (Neurocomputing, 2021)

Adaptive threshold cascade faster RCNN for domain adaptive object detection. - Xinhong Shi; Zhanshan Li; Haihong Yu (Multim. Tools Appl., 2021)

Unsupervised double weighted domain adaptation. - Jingyao Li; Zhanshan Li; Shuai Lü 001 (Neural Comput. Appl., 2021)

A Portfolio-Based Approach to Select Efficient Variable Ordering Heuristics for Constraint Satisfaction Problems. - Hongbo Li 005; Yaling Wu; Minghao Yin; Zhanshan Li (CP, 2022)

Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework. - Shaokai Wu; Zhaogeng Liu; Wencheng Pei; Jianbo Hong; Zhanshan Li (CVPR Workshops, 2022)

Discovering periodic cluster patterns in event sequence databases. - Guisheng Chen; Zhanshan Li (Appl. Intell., 2022)

Similarity-based domain adaptation network. - Meixin Peng; Zhanshan Li; Xin Juan (Neurocomputing, 2022)

Multimodal medical image segmentation using multi-scale context-aware network. - Xue Wang; Zhanshan Li; Yongping Huang; Yingying Jiao (Neurocomputing, 2022)

Unsupervised domain adaptation via softmax-based prototype construction and adaptation. - Jingyao Li; Shuai Lü 001; Zhanshan Li (Inf. Sci., 2022)

Graph prototypical contrastive learning. - Meixin Peng; Xin Juan; Zhanshan Li (Inf. Sci., 2022)

Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation. - Jingyao Li; Shuai Lü 001; Wenbo Zhu 003; Zhanshan Li (Knowl. Based Syst., 2022)

Discovering Skyline Periodic Itemset Patterns in Transaction Sequences. - Guisheng Chen; Zhanshan Li (ADMA (1), 2023)

A Bitwise GAC Algorithm for Alldifferent Constraints. - Zhe Li 017; Yaohua Wang; Zhanshan Li (IJCAI, 2023)

Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint. - Luhan Zhen; Zhanshan Li; Yanzhi Li; Hongbo Li 005 (IJCAI, 2023)

Graph constraints refined for transitive relations. - Luhan Zhen; Yonggang Zhang 002; Zhanshan Li (Knowl. Based Syst., 2023)

Binary golden eagle optimizer combined with initialization of feature number subspace for feature selection. - Xinkai Yang; Luhan Zhen; Zhanshan Li (Knowl. Based Syst., 2023)

Label-guided graph contrastive learning for semi-supervised node classification. - Meixin Peng; Xin Juan; Zhanshan Li (Expert Syst. Appl., 2024)

Improved bit-based filtering algorithm for regular constraint. - Luhan Zhen; Yonggang Zhang 002; Jingyao Li; Yanzhi Li; Zhanshan Li (Expert Syst. Appl., 2024)

Mixup-based maximum distribution difference selection strategy for domain generalization. - Yuqi Wang; Zhanshan Li; Haihong Yu; Jingyao Li (Expert Syst. Appl., 2025)

Class-wise and instance-wise contrastive learning for zero-shot learning based on VAEGAN. - Baolong Zheng; Zhanshan Li; Jingyao Li (Expert Syst. Appl., 2025)

Micro-expression recognition based on direct learning of graph structure. - Lijun Zhang 018; Yifan Zhang; Xinzhi Sun; Weicheng Tang; Xiaomeng Wang; Zhanshan Li (Neurocomputing, 2025)

Bidirectional Semantic Consistency Guided Contrastive Embedding for Generative Zero-Shot Learning. - Zhengzhang Hou; Zhanshan Li; Jingyao Li (Neural Networks, 2025)

Generalized zero-shot learning via discriminative and transferable disentangled representations. - Chunyu Zhang; Zhanshan Li (Neural Networks, 2025)

Enabling Generalized Zero-Shot Vulnerability Classification. - Jinghao Hu; Jinsong Guo; Chen Luo 003; Yang Hu; Matthias Lanzinger; Zhanshan Li (IEEE Trans. Dependable Secur. Comput., 2025)

AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition. - Lijun Zhang 018; Yifan Zhang; Weicheng Tang; Xinzhi Sun; Xiaomeng Wang; Zhanshan Li (CoRR, 2025)