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2020 – today
- 2025
[j210]Yudong Liang, Shaoji Li
, De Cheng, Wenjian Wang, Deyu Li, Jiye Liang:
Image dehazing via self-supervised depth guidance. Pattern Recognit. 158: 111051 (2025)- 2024
- [j209]Jing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang:
Deep multi-view graph clustering network with weighting mechanism and collaborative training. Expert Syst. Appl. 236: 121298 (2024) - [j208]Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang:
An incremental feature selection approach for dynamic feature variation. Neurocomputing 570: 127138 (2024) - [j207]Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang:
Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection. Inf. Sci. 658: 120013 (2024) - [j206]Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang:
Controlling estimation error in reinforcement learning via Reinforced Operation. Inf. Sci. 675: 120736 (2024) - [j205]Lei Guan, Dong-Sheng Li, Jiye Liang, Wen-Jian Wang, Ke-shi Ge, Xicheng Lu:
Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. J. Comput. Sci. Technol. 39(3): 567-584 (2024) - [j204]Xiu You, Jiye Liang, Changchun Hua, Kuo Li:
Resilient dynamic output feedback control for leader-following consensus of high-order uncertain multi-agent systems under sensor-actuator attacks. J. Frankl. Inst. 361(3): 1227-1237 (2024) - [j203]Wei Wei, Da Wang, Lin Li, Jiye Liang:
Re-attentive experience replay in off-policy reinforcement learning. Mach. Learn. 113(5): 2327-2349 (2024) - [j202]Zhiqiang Li, Jie Wang, Jiye Liang:
Debiased graph contrastive learning based on positive and unlabeled learning. Int. J. Mach. Learn. Cybern. 15(6): 2527-2538 (2024) - [j201]Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang:
Robust graph neural networks with Dirichlet regularization and residual connection. Int. J. Mach. Learn. Cybern. 15(9): 3733-3743 (2024) - [j200]Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang:
A unified framework to control estimation error in reinforcement learning. Neural Networks 178: 106483 (2024) - [j199]Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao:
Graph Regulation Network for Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7940-7955 (2024) - [j198]Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang:
A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognit. 145: 109937 (2024) - [j197]Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang:
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150: 110338 (2024) - [j196]Xingwang Zhao, Shujun Wang, Xiaolin Liu, Jiye Liang:
Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognit. 156: 110715 (2024) - [j195]Yujie Wang, Hu Zhang, Jiye Liang, Ru Li:
Heterogeneous-Graph Reasoning With Context Paraphrase for Commonsense Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3759-3770 (2024) - [j194]Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang:
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning. IEEE Trans. Big Data 10(4): 442-456 (2024) - [j193]Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang:
Efficient Classification by Removing Bayesian Confusing Samples. IEEE Trans. Knowl. Data Eng. 36(3): 1084-1098 (2024) - [j192]Haijun Zhang, Xian Yang, Liang Bai, Jiye Liang:
Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks. IEEE Trans. Knowl. Data Eng. 36(7): 3024-3035 (2024) - [j191]Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang:
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism. IEEE Trans. Knowl. Data Eng. 36(10): 5025-5038 (2024) - [j190]Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao:
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4465-4477 (2024) - [j189]Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu:
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15237-15250 (2024) - [c53]Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li:
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization. ACL (Short Papers) 2024: 510-518 - [c52]Yue Fan, Hu Zhang, Ru Li, Yujie Wang, Hongye Tan, Jiye Liang:
FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering. ACL (Findings) 2024: 9111-9128 - [c51]Guangjun Zhang, Hu Zhang, Yujie Wang, Ru Li, Hongye Tan, Jiye Liang:
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction. ACL (1) 2024: 9271-9284 - [c50]Xiaoqi Han, Ru Li, Xiaoli Li, Jiye Liang, Zifang Zhang, Jeff Z. Pan:
InstructEd: Soft-Instruction Tuning for Model Editing with Hops. ACL (Findings) 2024: 14953-14968 - [c49]Jianqing Liang, Min Chen, Jiye Liang:
Graph External Attention Enhanced Transformer. ICML 2024 - [c48]Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang:
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. ICML 2024 - [c47]Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang:
Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI. MICCAI (10) 2024: 739-748 - [i6]Jianqing Liang, Min Chen, Jiye Liang:
Graph External Attention Enhanced Transformer. CoRR abs/2405.21061 (2024) - 2023
- [j188]Liang Bai, Minxue Qi, Jiye Liang:
Spectral clustering with robust self-learning constraints. Artif. Intell. 320: 103924 (2023) - [j187]Baoli Wang, Jiye Liang, Yiyu Yao:
A trilevel analysis of uncertainty measuresin partition-based granular computing. Artif. Intell. Rev. 56(1): 533-575 (2023) - [j186]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. Inf. Sci. 619: 1 (2023) - [j185]Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei:
Multiple metric learning via local metric fusion. Inf. Sci. 621: 341-353 (2023) - [j184]Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang:
High-order graph attention network. Inf. Sci. 630: 222-234 (2023) - [j183]Ting Guo, Jiye Liang, Guo-Sen Xie:
Group-wise interactive region learning for zero-shot recognition. Inf. Sci. 642: 119135 (2023) - [j182]Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang:
Multi-actor mechanism for actor-critic reinforcement learning. Inf. Sci. 647: 119494 (2023) - [j181]Wentao Cui, Liang Bai, Xian Yang, Jiye Liang:
A new contrastive learning framework for reducing the effect of hard negatives. Knowl. Based Syst. 260: 110121 (2023) - [j180]Caixia Cui, Jie Wang, Wei Wei, Jiye Liang:
Hybrid sampling-based contrastive learning for imbalanced node classification. Int. J. Mach. Learn. Cybern. 14(3): 989-1001 (2023) - [j179]Feng Wang, Jiye Liang, Peng Song:
Coupling learning for feature selection in categorical data. Int. J. Mach. Learn. Cybern. 14(7): 2455-2465 (2023) - [j178]Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang:
Exploring the role of edge distribution in graph convolutional networks. Neural Networks 168: 459-470 (2023) - [j177]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j176]Liang Bai, Jiye Liang, Yunxiao Zhao:
Self-Constrained Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5126-5138 (2023) - [j175]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Evaluating Classification Model Against Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9639-9653 (2023) - [j174]Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao:
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14975-14989 (2023) - [j173]Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang:
A bi-level metric learning framework via self-paced learning weighting. Pattern Recognit. 139: 109446 (2023) - [j172]Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang:
Towards Privacy-Aware Causal Structure Learning in Federated Setting. IEEE Trans. Big Data 9(6): 1525-1535 (2023) - [j171]Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang:
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. IEEE Trans. Knowl. Data Eng. 35(3): 3211-3223 (2023) - [j170]Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang:
Random Deep Graph Matching. IEEE Trans. Knowl. Data Eng. 35(10): 10411-10422 (2023) - [j169]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7235-7247 (2023) - [c46]Yujie Wang, Hu Zhang, Jiye Liang, Ru Li:
Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering. ACL (1) 2023: 14048-14063 - [c45]Ting Guo, Jiye Liang, Guo-Sen Xie:
Swap-Reconstruction Autoencoder for Compositional Zero-Shot Learning. ICME 2023: 438-443 - [c44]Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang:
A General Representation Learning Framework with Generalization Performance Guarantees. ICML 2023: 6522-6544 - [c43]Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang:
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023: 19960-19981 - [c42]Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang:
Set-membership Belief State-based Reinforcement Learning for POMDPs. ICML 2023: 36856-36867 - [c41]Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang:
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM 2023: 652-660 - [i5]Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu:
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction. CoRR abs/2312.00839 (2023) - 2022
- [j168]Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao:
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307: 103708 (2022) - [j167]Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang:
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65(5): 1-16 (2022) - [j166]Kaihan Zhang, Zhiqiang Wang, Jiye Liang, Xingwang Zhao:
A Bayesian matrix factorization model for dynamic user embedding in recommender system. Frontiers Comput. Sci. 16(5): 165346 (2022) - [j165]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Weak multi-label learning with missing labels via instance granular discrimination. Inf. Sci. 594: 200-216 (2022) - [j164]Jing Liu, Fuyuan Cao, Jiye Liang:
Centroids-guided deep multi-view K-means clustering. Inf. Sci. 609: 876-896 (2022) - [j163]Wei Wei, Da Wang, Jiye Liang:
Accelerating ReliefF using information granulation. Int. J. Mach. Learn. Cybern. 13(1): 29-38 (2022) - [j162]Xiaofang Gao, Jiye Liang, Wenjian Wang, Xuefei Bai, Lina Jia:
An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints. Int. J. Mach. Learn. Cybern. 13(5): 1317-1336 (2022) - [j161]Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang:
Clustering mixed type data: a space structure-based approach. Int. J. Mach. Learn. Cybern. 13(9): 2799-2812 (2022) - [j160]Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang:
Hierarchical metric learning with intra-level and inter-level regularization. Int. J. Mach. Learn. Cybern. 13(12): 4033-4042 (2022) - [j159]Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang:
AF: An Association-Based Fusion Method for Multi-Modal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9236-9254 (2022) - [j158]Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang:
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121: 108215 (2022) - [j157]Liang Bai, Jiye Liang:
A categorical data clustering framework on graph representation. Pattern Recognit. 128: 108694 (2022) - [j156]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang:
Semi-supervised partial multi-label classification via consistency learning. Pattern Recognit. 131: 108839 (2022) - [j155]Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang:
Metric learning via perturbing hard-to-classify instances. Pattern Recognit. 132: 108928 (2022) - [j154]Liang Bai, Yunxiao Zhao, Jiye Liang:
Self-supervised spectral clustering with exemplar constraints. Pattern Recognit. 132: 108975 (2022) - [j153]Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie:
Cross-modal propagation network for generalized zero-shot learning. Pattern Recognit. Lett. 159: 125-131 (2022) - [j152]Feng Wang, Wei Wei, Jiye Liang:
A group incremental approach for feature selection on hybrid data. Soft Comput. 26(8): 3663-3677 (2022) - [j151]Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang:
Active and Semi-Supervised Graph Neural Networks for Graph Classification. IEEE Trans. Big Data 8(4): 920-932 (2022) - [c40]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Instance Selection: A Bayesian Decision Theory Perspective. AAAI 2022: 6287-6294 - [c39]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI 2022: 8584-8593 - [c38]Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li:
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. AAAI 2022: 8621-8628 - [c37]Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai:
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. KDD 2022: 2408-2417 - [c36]Junbiao Cui, Jiye Liang:
Fuzzy Learning Machine. NeurIPS 2022 - [c35]Wenping Zheng, Meilin Liu, Jiye Liang:
Hypergraphs: Concepts, Applications and Analysis. PAAP 2022: 1-6 - [c34]Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang:
Multi-Scale Variational Graph AutoEncoder for Link Prediction. WSDM 2022: 334-342 - [i4]Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang:
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection. CoRR abs/2205.03627 (2022) - [i3]Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang:
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR abs/2211.06919 (2022) - 2021
- [j150]Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang:
An outlier detection algorithm for categorical matrix-object data. Appl. Soft Comput. 104: 107182 (2021) - [j149]Yali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian:
BIC-based node order learning for improving Bayesian network structure learning. Frontiers Comput. Sci. 15(6): 156337 (2021) - [j148]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen:
Fuzzy rough discrimination and label weighting for multi-label feature selection. Neurocomputing 465: 128-140 (2021) - [j147]Liqin Yu, Fuyuan Cao, Xiao-Zhi Gao, Jing Liu, Jiye Liang:
k-Mnv-Rep: A k-type clustering algorithm for matrix-object data. Inf. Sci. 542: 40-57 (2021) - [j146]Xingwang Zhao, Jiye Liang, Jie Wang:
A community detection algorithm based on graph compression for large-scale social networks. Inf. Sci. 551: 358-372 (2021) - [j145]Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang:
Semi-supervised learning with mixed-order graph convolutional networks. Inf. Sci. 573: 171-181 (2021) - [j144]Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang:
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective. J. Mach. Learn. Res. 22: 18:1-18:66 (2021) - [j143]Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei:
Graph-based semi-supervised learning via improving the quality of the graph dynamically. Mach. Learn. 110(6): 1345-1388 (2021) - [j142]Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang:
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. Int. J. Mach. Learn. Cybern. 12(5): 1219-1241 (2021) - [j141]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. Int. J. Mach. Learn. Cybern. 12(12): 3397-3414 (2021) - [j140]Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang:
Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. 12(12): 3597-3605 (2021) - [j139]Liang Bai, Jiye Liang, Fuyuan Cao:
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3247-3258 (2021) - [j138]Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang:
Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. 119: 108056 (2021) - 2020
- [j137]Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang:
Combining attribute content and label information for categorical data ensemble clustering. Appl. Math. Comput. 381: 125280 (2020) - [j136]Jiye Liang, Yunsheng Song, Deyu Li, Zhiqiang Wang, Chuangyin Dang:
An accelerator for the logistic regression algorithm based on sampling on-demand. Sci. China Inf. Sci. 63(6) (2020) - [j135]Yali Lv, Weixin Hu, Jiye Liang, Yuhua Qian, Junzhong Miao:
A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j134]Jifang Pang, Xiaoqiang Guan, Jiye Liang, Baoli Wang, Peng Song:
Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions. Int. J. Approx. Reason. 117: 122-147 (2020) - [j133]Baoli Wang, Jiye Liang:
A Novel Preference Measure for Multi-Granularity Probabilistic Linguistic Term Sets and its Applications in Large-Scale Group Decision-Making. Int. J. Fuzzy Syst. 22(7): 2350-2368 (2020) - [j132]Liang Bai, Jiye Liang, Fuyuan Cao:
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. Inf. Fusion 61: 36-47 (2020) - [j131]Chao Zhang, Deyu Li, Jiye Liang:
Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Inf. Sci. 507: 665-683 (2020) - [j130]Chao Zhang, Deyu Li, Jiye Liang:
Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Inf. Sci. 511: 192-211 (2020) - [j129]Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang:
A fusion collaborative filtering method for sparse data in recommender systems. Inf. Sci. 521: 365-379 (2020) - [j128]Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang:
基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior). 计算机科学 47(2): 31-36 (2020) - [j127]Feilong Cao, Kaixuan Yao, Jiye Liang:
Deconvolutional neural network for image super-resolution. Neural Networks 132: 394-404 (2020) - [j126]Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du:
New label propagation algorithm with pairwise constraints. Pattern Recognit. 106: 107411 (2020) - [j125]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding:
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28(5): 887-900 (2020) - [c33]Liang Bai, Jiye Liang:
A Three-Level Optimization Model for Nonlinearly Separable Clustering. AAAI 2020: 3211-3218 - [c32]Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang:
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. AAAI 2020: 4860-4867 - [c31]Liang Bai, Jiye Liang:
Sparse Subspace Clustering with Entropy-Norm. ICML 2020: 561-568
2010 – 2019
- 2019
- [j124]Yali Lv, Jiye Liang, Yuhua Qian, Jiajie Wu, Suqin Ji:
Sign fusion of multiple QPNs based on qualitative mutual information. Int. J. Comput. Sci. Eng. 19(1): 36-45 (2019) - [j123]Baoli Wang, Jiye Liang, Jifang Pang:
Deviation Degree: A Perspective on Score Functions in Hesitant Fuzzy Sets. Int. J. Fuzzy Syst. 21(7): 2299-2317 (2019) - [j122]Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun:
Hierarchical division clustering framework for categorical data. Neurocomputing 341: 118-134 (2019) - [j121]Wei Wei, Jiye Liang:
Information fusion in rough set theory : An overview. Inf. Fusion 48: 107-118 (2019) - [j120]Jie Wang, Jiye Liang, Wenping Zheng, Xingwang Zhao, Junfang Mu:
Protein complex detection algorithm based on multiple topological characteristics in PPI networks. Inf. Sci. 489: 78-92 (2019) - [j119]Xiaoqiang Guan, Jifang Pang, Jiye Liang:
基于类别随机化的随机森林算法 (Randomization of Classes Based Random Forest Algorithm). 计算机科学 46(2): 196-201 (2019) - [j118]Jie Wang, Jiye Liang, Xingwang Zhao, Wenping Zheng:
一种基于同配性的重叠蛋白质复合体检测算法 (Overlapping Protein Complexes Detection Algorithm Based on Assortativity in PPI Networks). 计算机科学 46(2): 294-300 (2019) - [j117]Xingwang Zhao, Jiye Liang, Chuangyin Dang:
A stratified sampling based clustering algorithm for large-scale data. Knowl. Based Syst. 163: 416-428 (2019) - [j116]Junfang Mu, Wenping Zheng, Jie Wang, Jiye Liang:
A novel edge rewiring strategy for tuning structural properties in networks. Knowl. Based Syst. 177: 55-67 (2019) - [j115]Yang Li, Jie Wang, Suge Wang, Jiye Liang, Juanzi Li:
Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification. Int. J. Mach. Learn. Cybern. 10(7): 1805-1820 (2019) - [j114]Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu:
Accelerating incremental attribute reduction algorithm by compacting a decision table. Int. J. Mach. Learn. Cybern. 10(9): 2355-2373 (2019) - [j113]Yunsheng Song, Jiye Liang, Feng Wang:
An accelerator for support vector machines based on the local geometrical information and data partition. Int. J. Mach. Learn. Cybern. 10(9): 2389-2400 (2019) - [j112]Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang:
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams. Neural Process. Lett. 50(3): 2101-2117 (2019) - [j111]Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li:
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification. Symmetry 11(2): 133 (2019) - [j110]Anhui Tan, Wei-Zhi Wu, Yuhua Qian, Jiye Liang, Jinkun Chen, Jinjin Li:
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection. IEEE Trans. Fuzzy Syst. 27(3): 527-539 (2019) - [j109]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
An Information-Theoretical Framework for Cluster Ensemble. IEEE Trans. Knowl. Data Eng. 31(8): 1464-1477 (2019) - [i2]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. CoRR abs/1908.01931 (2019) - 2018
- [j108]Xingwang Zhao, Fuyuan Cao, Jiye Liang:
A sequential ensemble clusterings generation algorithm for mixed data. Appl. Math. Comput. 335: 264-277 (2018) - [j107]Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang:
A cautious ranking methodology with its application for stock screening. Appl. Soft Comput. 71: 835-848 (2018) - [j106]Zhiqiang Wang, Jiye Liang, Ru Li:
Exploiting user-to-user topic inclusion degree for link prediction in social-information networks. Expert Syst. Appl. 108: 143-158 (2018) - [j105]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang:
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j104]Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He:
A new distance with derivative information for functional k-means clustering algorithm. Inf. Sci. 463-464: 166-185 (2018) - [j103]Xingwang Zhao, Jiye Liang, Lanjie Guo:
一种基于空间变换的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Space Transformation). 计算机科学 45(7): 16-21 (2018) - [j102]Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun:
Discernibility matrix based incremental attribute reduction for dynamic data. Knowl. Based Syst. 140: 142-157 (2018) - [j101]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
A novel community detection algorithm based on simplification of complex networks. Knowl. Based Syst. 143: 58-64 (2018) - [j100]Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang:
Local neighborhood rough set. Knowl. Based Syst. 153: 53-64 (2018) - [j99]Zhiqiang Wang, Jiye Liang, Ru Li:
A fusion probability matrix factorization framework for link prediction. Knowl. Based Syst. 159: 72-85 (2018) - [j98]Chao Zhang, Deyu Li, Jiye Liang:
Hesitant fuzzy linguistic rough set over two universes model and its applications. Int. J. Mach. Learn. Cybern. 9(4): 577-588 (2018) - [j97]Liang Bai, Jiye Liang, Yike Guo:
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters. IEEE Trans. Fuzzy Syst. 26(6): 3524-3533 (2018) - [j96]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian:
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4593-4606 (2018) - 2017
- [j95]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes. Appl. Math. Comput. 295: 1-15 (2017) - [j94]Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang:
k-mw-modes: An algorithm for clustering categorical matrix-object data. Appl. Soft Comput. 57: 605-614 (2017) - [j93]Jifang Pang, Jiye Liang, Peng Song:
An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment. Appl. Soft Comput. 58: 339-353 (2017) - [j92]Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang:
Local multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 82: 119-137 (2017) - [j91]Yunsheng Song, Jiye Liang, Jing Lu, Xingwang Zhao:
An efficient instance selection algorithm for k nearest neighbor regression. Neurocomputing 251: 26-34 (2017) - [j90]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang:
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Inf. Sci. 378: 389-409 (2017) - [j89]Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
Grouping granular structures in human granulation intelligence. Inf. Sci. 382-383: 150-169 (2017) - [j88]Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo:
Fast graph clustering with a new description model for community detection. Inf. Sci. 388: 37-47 (2017) - [j87]Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang:
A multi-view OVA model based on decision tree for multi-classification tasks. Knowl. Based Syst. 138: 208-219 (2017) - [j86]Xingwang Zhao, Jiye Liang, Chuangyin Dang:
Clustering ensemble selection for categorical data based on internal validity indices. Pattern Recognit. 69: 150-168 (2017) - [j85]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017) - [c30]Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang:
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM 2017: 515-524 - [i1]Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang:
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams. CoRR abs/1708.03496 (2017) - 2016
- [j84]Feng Wang, Jiye Liang:
An efficient feature selection algorithm for hybrid data. Neurocomputing 193: 33-41 (2016) - [j83]Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang:
Fuzzy rough approximations for set-valued data. Inf. Sci. 360: 181-201 (2016) - [j82]Tianjie Pang, Jiye Liang:
一种基于抽样的大规模混合数据聚类集成算法 (Clustering Ensemble Algorithm for Large-scale Mixed Data Based on Sampling). 计算机科学 43(9): 209-212 (2016) - [j81]Yanli Sang, Jiye Liang, Yuhua Qian:
Decision-theoretic rough sets under dynamic granulation. Knowl. Based Syst. 91: 84-92 (2016) - [j80]Guoping Lin, Jiye Liang, Yuhua Qian, Jinjin Li:
A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems. Knowl. Based Syst. 91: 102-113 (2016) - [j79]Yinfeng Meng, Jiye Liang, Yuhua Qian:
Comparison study of orthonormal representations of functional data in classification. Knowl. Based Syst. 97: 224-236 (2016) - [j78]Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian:
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information. IEEE Trans. Knowl. Data Eng. 28(11): 2857-2870 (2016) - [j77]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883 (2016) - [j76]Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang:
Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2047-2059 (2016) - [c29]Junhong Wang, Yun-Qian Miao, Alaa M. Khamis, Fakhri Karray, Jiye Liang:
Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions. ICIAR 2016: 3-11 - 2015
- [j75]Liang Bai, Jiye Liang:
Cluster validity functions for categorical data: a solution-space perspective. Data Min. Knowl. Discov. 29(6): 1560-1597 (2015) - [j74]Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang, Chuangyin Dang:
Fuzzy-rough feature selection accelerator. Fuzzy Sets Syst. 258: 61-78 (2015) - [j73]Baoli Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang:
A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(2): 221-244 (2015) - [j72]Guoping Lin, Jiye Liang, Yuhua Qian:
Uncertainty Measures for Multigranulation Approximation Space. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(3): 443-458 (2015) - [j71]Xiaofang Gao, Jiye Liang:
An improved incremental nonlinear dimensionality reduction for isometric data embedding. Inf. Process. Lett. 115(4): 492-501 (2015) - [j70]Guoping Lin, Jiye Liang, Yuhua Qian:
An information fusion approach by combining multigranulation rough sets and evidence theory. Inf. Sci. 314: 184-199 (2015) - [j69]Wei Wei, Junhong Wang, Jiye Liang, Xin Mi, Chuangyin Dang:
Compacted decision tables based attribute reduction. Knowl. Based Syst. 86: 261-277 (2015) - [j68]Baoli Wang, Jiye Liang, Yuhua Qian:
Determining decision makers' weights in group ranking: a granular computing method. Int. J. Mach. Learn. Cybern. 6(3): 511-521 (2015) - [j67]Yuhua Qian, Yebin Li, Jiye Liang, Guoping Lin, Chuangyin Dang:
Fuzzy Granular Structure Distance. IEEE Trans. Fuzzy Syst. 23(6): 2245-2259 (2015) - [j66]Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang:
Fusing Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. 27(10): 2717-2728 (2015) - [c28]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang:
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. ICMLC 2015: 58-63 - [c27]Jiye Liang:
Decision-Oriented Rough Set Methods. RSFDGrC 2015: 3-12 - [c26]Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265 - 2014
- [j65]Baoli Wang, Jiye Liang, Yuhua Qian:
Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making. Fundam. Informaticae 132(3): 331-347 (2014) - [j64]Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang:
Multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 55(1): 225-237 (2014) - [j63]Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang:
Set-based granular computing: A lattice model. Int. J. Approx. Reason. 55(3): 834-852 (2014) - [j62]Liang Bai, Jiye Liang:
The k-modes type clustering plus between-cluster information for categorical data. Neurocomputing 133: 111-121 (2014) - [j61]Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang:
Pessimistic rough set based decisions: A multigranulation fusion strategy. Inf. Sci. 264: 196-210 (2014) - [j60]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
Trend analysis of categorical data streams with a concept change method. Inf. Sci. 276: 160-173 (2014) - [j59]Guoping Lin, Jiye Liang, Yuhua Qian:
Topological approach to multigranulation rough sets. Int. J. Mach. Learn. Cybern. 5(2): 233-243 (2014) - [j58]Xin Liu, Yuhua Qian, Jiye Liang:
A rule-extraction framework under multigranulation rough sets. Int. J. Mach. Learn. Cybern. 5(2): 319-326 (2014) - [j57]Xingwang Zhao, Jiye Liang, Fuyuan Cao:
A simple and effective outlier detection algorithm for categorical data. Int. J. Mach. Learn. Cybern. 5(3): 469-477 (2014) - [j56]Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian:
A Group Incremental Approach to Feature Selection Applying Rough Set Technique. IEEE Trans. Knowl. Data Eng. 26(2): 294-308 (2014) - [c25]Baoli Wang, Jiye Liang:
A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory. RSKT 2014: 789-800 - 2013
- [j55]Feng Wang, Jiye Liang, Chuangyin Dang:
Attribute reduction for dynamic data sets. Appl. Soft Comput. 13(1): 676-689 (2013) - [j54]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel fuzzy clustering algorithm with between-cluster information for categorical data. Fuzzy Sets Syst. 215: 55-73 (2013) - [j53]Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian:
Decision-relative discernibility matrices in the sense of entropies. Int. J. Gen. Syst. 42(7): 721-738 (2013) - [j52]Fuyuan Cao, Jiye Liang, Deyu Li, Xingwang Zhao:
A weighting k-modes algorithm for subspace clustering of categorical data. Neurocomputing 108: 23-30 (2013) - [j51]Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang:
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set? Inf. Sci. 232: 143-166 (2013) - [j50]Guoping Lin, Jiye Liang, Yuhua Qian:
Multigranulation rough sets: From partition to covering. Inf. Sci. 241: 101-118 (2013) - [j49]Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang:
Fast global k-means clustering based on local geometrical information. Inf. Sci. 245: 168-180 (2013) - [j48]Feng Wang, Jiye Liang, Yuhua Qian:
Attribute reduction: A dimension incremental strategy. Knowl. Based Syst. 39: 95-108 (2013) - [j47]Jiye Liang, Junrong Mi, Wei Wei, Feng Wang:
An accelerator for attribute reduction based on perspective of objects and attributes. Knowl. Based Syst. 44: 90-100 (2013) - [j46]Yuhua Qian, Jiye Liang, Wei Wei:
Consistency-preserving attribute reduction in fuzzy rough set framework. Int. J. Mach. Learn. Cybern. 4(4): 287-299 (2013) - [j45]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1509-1522 (2013) - [c24]Xiaomei Yang, Jianchao Zeng, Jiye Liang:
Contact Network Model with Covert Infection. ICSI (2) 2013: 275-283 - 2012
- [j44]Yuhua Qian, Chuangyin Dang, Jiye Liang, Wei-Zhi Wu:
Partial ordering of information granulations: a further investigation. Expert Syst. J. Knowl. Eng. 29(1): 3-24 (2012) - [j43]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A cluster centers initialization method for clustering categorical data. Expert Syst. Appl. 39(9): 8022-8029 (2012) - [j42]Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian:
An efficient rough feature selection algorithm with a multi-granulation view. Int. J. Approx. Reason. 53(6): 912-926 (2012) - [j41]Wei Wei, Jiye Liang, Yuhua Qian:
A comparative study of rough sets for hybrid data. Inf. Sci. 190: 1-16 (2012) - [j40]Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang:
A dissimilarity measure for the k-Modes clustering algorithm. Knowl. Based Syst. 26: 120-127 (2012) - [j39]Jiye Liang, Ru Li, Yuhua Qian:
Distance: A more comprehensible perspective for measures in rough set theory. Knowl. Based Syst. 27: 126-136 (2012) - [j38]Peng Song, Jiye Liang, Yuhua Qian:
A two-grade approach to ranking interval data. Knowl. Based Syst. 27: 234-244 (2012) - [j37]Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei:
Evaluation of the decision performance of the decision rule set from an ordered decision table. Knowl. Based Syst. 36: 39-50 (2012) - [j36]Jiye Liang, Xingwang Zhao, Deyu Li, Fuyuan Cao, Chuangyin Dang:
Determining the number of clusters using information entropy for mixed data. Pattern Recognit. 45(6): 2251-2265 (2012) - [j35]Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao:
The K -Means-Type Algorithms Versus Imbalanced Data Distributions. IEEE Trans. Fuzzy Syst. 20(4): 728-745 (2012) - [c23]Jiye Liang:
Feature selection for large-scale data sets in GrC. GrC 2012: 2-7 - [c22]Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang:
Variable precision multi-granulation rough set. GrC 2012: 536-540 - [c21]Wei Wei, Jiye Liang, Yuhua Qian, Junhong Wang:
Fuzziness-Preserving Attribute Reduction from Hybrid Data. IScIDE 2012: 692-699 - [c20]Baoli Wang, Jiye Liang, Yuhua Qian:
Information Granularity and Granular Structure in Decision Making. RSKT 2012: 440-449 - 2011
- [j34]Fuyuan Cao, Jiye Liang:
A data labeling method for clustering categorical data. Expert Syst. Appl. 38(3): 2381-2385 (2011) - [j33]Liang Bai, Jiye Liang, Chuangyin Dang:
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data. Knowl. Based Syst. 24(6): 785-795 (2011) - [j32]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognit. 44(8): 1658-1670 (2011) - [j31]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel attribute weighting algorithm for clustering high-dimensional categorical data. Pattern Recognit. 44(12): 2843-2861 (2011) - [j30]Xiaofang Gao, Jiye Liang:
The dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding. Pattern Recognit. Lett. 32(2): 202-209 (2011) - [j29]Yuhua Qian, Jiye Liang, Wei-zhi Z. Wu, Chuangyin Dang:
Information Granularity in Fuzzy Binary GrC Model. IEEE Trans. Fuzzy Syst. 19(2): 253-264 (2011) - [c19]Junhong Wang, Jiye Liang, Yuhua Qian:
Closed-Label Concept Lattice Based Rule Extraction Approach. ICIC (3) 2011: 690-698 - [c18]Jiye Liang:
Uncertainty and Feature Selection in Rough Set Theory. RSKT 2011: 8-15 - [c17]Yuhua Qian, Chao Li, Jiye Liang:
An Efficient Fuzzy-Rough Attribute Reduction Approach. RSKT 2011: 63-70 - [c16]Yuhua Qian, Jiye Liang:
How to organize data with measurement errors? SMC 2011: 3096-3101 - 2010
- [j28]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
Positive approximation: An accelerator for attribute reduction in rough set theory. Artif. Intell. 174(9-10): 597-618 (2010) - [j27]Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang:
Comparative study of decision performance of decision tables induced by attribute reductions. Int. J. Gen. Syst. 39(8): 813-838 (2010) - [j26]Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang:
MGRS: A multi-granulation rough set. Inf. Sci. 180(6): 949-970 (2010) - [j25]Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma:
Approximation reduction in inconsistent incomplete decision tables. Knowl. Based Syst. 23(5): 427-433 (2010) - [j24]Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang:
A Framework for Clustering Categorical Time-Evolving Data. IEEE Trans. Fuzzy Syst. 18(5): 872-882 (2010) - [j23]Yuhua Qian, Jiye Liang, Chuangyin Dang:
Incomplete Multigranulation Rough Set. IEEE Trans. Syst. Man Cybern. Part A 40(2): 420-431 (2010) - [c15]Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei:
On Partial Order Relations in Granular Computing. GrC 2010: 102-106 - [c14]Junhong Wang, Jiye Liang, Yuhua Qian:
A heuristic method to attribute reduction for concept lattice. ICMLC 2010: 483-487
2000 – 2009
- 2009
- [j22]Fuyuan Cao, Jiye Liang, Guang Jiang:
An initialization method for the K-Means algorithm using neighborhood model. Comput. Math. Appl. 58(3): 474-483 (2009) - [j21]Fuyuan Cao, Jiye Liang, Liang Bai:
A new initialization method for categorical data clustering. Expert Syst. Appl. 36(7): 10223-10228 (2009) - [j20]Yuhua Qian, Jiye Liang, Chuangyin Dang:
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base. Int. J. Approx. Reason. 50(1): 174-188 (2009) - [j19]Yuhua Qian, Jiye Liang, Feng Wang:
A New Method for Measuring the Uncertainty in Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(6): 855-880 (2009) - [j18]Jiye Liang, Junhong Wang, Yuhua Qian:
A new measure of uncertainty based on knowledge granulation for rough sets. Inf. Sci. 179(4): 458-470 (2009) - [j17]Yuhua Qian, Chuangyin Dang, Jiye Liang, Dawei Tang:
Set-valued ordered information systems. Inf. Sci. 179(16): 2809-2832 (2009) - [j16]Chuangyin Dang, Wei Ma, Jiye Liang:
A deterministic annealing algorithm for approximating a solution of the min-bisection problem. Neural Networks 22(1): 58-66 (2009) - [c13]Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang:
An attribute reduction approach and its accelerated version for hybrid data. IEEE ICCI 2009: 167-173 - [c12]Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang:
A Time-Reduction Strategy to Feature Selection in Rough Set Theory. RSKT 2009: 111-119 - [c11]Xiaomei Yang, Jianchao Zeng, Jiye Liang:
Apply Inversion Order Number Genetic Algorithm to the Job Shop Scheduling Problem. WGEC 2009: 196-200 - 2008
- [j15]Jiye Liang, Yuhua Qian:
Information granules and entropy theory in information systems. Sci. China Ser. F Inf. Sci. 51(10): 1427-1444 (2008) - [j14]Yuhua Qian, Jiye Liang, Chuangyin Dang:
Converse approximation and rule extraction from decision tables in rough set theory. Comput. Math. Appl. 55(8): 1754-1765 (2008) - [j13]Yuhua Qian, Jiye Liang, Chuangyin Dang:
Interval ordered information systems. Comput. Math. Appl. 56(8): 1994-2009 (2008) - [j12]Yuhua Qian, Chuangyin Dang, Jiye Liang, Haiyun Zhang, Jianmin Ma:
On the evaluation of the decision performance of an incomplete decision table. Data Knowl. Eng. 65(3): 373-400 (2008) - [j11]Yuhua Qian, Jiye Liang, Chuangyin Dang:
Consistency measure, inclusion degree and fuzzy measure in decision tables. Fuzzy Sets Syst. 159(18): 2353-2377 (2008) - [j10]Yuhua Qian, Jiye Liang:
Combination Entropy and Combination Granulation in Rough Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 179-193 (2008) - [j9]Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang:
Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 233-244 (2008) - [j8]Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chuangyin Dang:
Measures for evaluating the decision performance of a decision table in rough set theory. Inf. Sci. 178(1): 181-202 (2008) - [j7]Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai:
Research on Rough Set Theory and Applications in China. Trans. Rough Sets 8: 352-395 (2008) - [c10]Yuhua Qian, Jiye Liang, Wei Wei:
Granulation Operators on a Knowledge Base. GrC 2008: 538-543 - [c9]Wei Wei, Jiye Liang, Yuhua Qian:
Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions. GrC 2008: 638-643 - [c8]Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang:
Consistency and Fuzziness in Ordered Decision Tables. RSKT 2008: 63-71 - 2007
- [j6]Kaishe Qu, Yanhui Zhai, Jiye Liang, Min Chen:
Study of decision implications based on formal concept analysis. Int. J. Gen. Syst. 36(2): 147-156 (2007) - [c7]Yuhua Qian, Jiye Liang, Chuangyin Dang:
MGRS in Incomplete Information Systems. GrC 2007: 163-168 - [c6]Yuhua Qian, Jiye Liang:
Evaluation Method for Decision Rule Sets. RSFDGrC 2007: 272-279 - 2006
- [j5]Jiye Liang, Z. Shi, Deyu Li, Mark J. Wierman:
Information entropy, rough entropy and knowledge granulation in incomplete information systems. Int. J. Gen. Syst. 35(6): 641-654 (2006) - [c5]Jiye Liang, Yuhua Qian:
Axiomatic Approach of Knowledge Granulation in Information System. Australian Conference on Artificial Intelligence 2006: 1074-1078 - [c4]Jiye Liang, Jifang Pang:
A Measure Method for Indiscernibility in Imperfect Information System. JCIS 2006 - [c3]Yuhua Qian, Jiye Liang:
Combination Entropy and Combination Granulation in Incomplete Information System. RSKT 2006: 184-190 - 2005
- [c2]Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Junhong Wang:
Rough Set Approximation Based on Dynamic Granulation. RSFDGrC (1) 2005: 701-708 - 2004
- [j4]Jiye Liang, Zhongzhi Shi:
The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(1): 37-46 (2004) - 2003
- [c1]K. S. Chin, Jiye Liang, Chuangyin Dang:
Rough Set Data Analysis Algorithms for Incomplete Information Systems. RSFDGrC 2003: 264-268 - 2002
- [j3]Jiye Liang, Kwai-Sang Chin, Chuangyin Dang, Richard C. M. Yam:
A new method for measuring uncertainty and fuzziness in rough set theory. Int. J. Gen. Syst. 31(4): 331-342 (2002) - [j2]Jiye Liang, Zongben Xu:
The Algorithm on Knowledge Reduction in Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(1): 95-103 (2002) - [j1]Zongben Xu, Jiye Liang, Chuangyin Dang, Kwai-Sang Chin:
Inclusion degree: a perspective on measures for rough set data analysis. Inf. Sci. 141(3-4): 227-236 (2002)
Coauthor Index
[j207] [j177] [j161] [j159] [j151] [i4] [j149] [j144] [j141] [j135] [j125] [j124] [j110] [i2] [j107] [j105] [j100] [j96] [j92] [j90] [j89] [j87] [c30] [j81] [j80] [j79] [j78] [j76] [j74] [j73] [j72] [j70] [j68] [j67] [j66] [c28] [j65] [j64] [j63] [j61] [j59] [j58] [j56] [j53] [j51] [j50] [j48] [j46] [j44] [j42] [j41] [j39] [j38] [j37] [c22] [c21] [c20] [j32] [j29] [c19] [c17] [c16] [j28] [j27] [j26] [j25] [j23] [c15] [c14] [j20] [j19] [j18] [j17] [c13] [c12] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [c10] [c9] [c8] [c7] [c6] [c5] [c3] [c2]
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last updated on 2024-11-25 22:41 CET by the dblp team
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