Jiye Liang

343 papers A* 33A 5B 2Misc 8Journal 266Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal inference for alleviating confounding bias in multi-criteria rating recommendation.
Inf. Process. Manag.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2026 J jnl
Clinical knowledge enhanced medical image classification.
Pattern Recognit.
Zhikang Xu, Jiye Liang, Zhipeng Wei, Xiaodong Yue, Deyu Li
2026 J jnl
Consistency-Aware Editing for Entity-level Unlearning in Language Models.
CoRR
Xiaoqi Han, Víctor Gutiérrez-Basulto, Ru Li, Xiaoli Li, Jiye Liang, Jeff Z. Pan
2026 A* conf
Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks.
WWW
Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo, Jiye Liang
2026 J jnl
Hierarchical long and short-term user preference modeling for sequential recommendation.
Frontiers Comput. Sci.
Zhiqiang Wang, Yu Zhou, Peng Song, Jiayi Pan, Jiye Liang
2026 J jnl
Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization.
IEEE Trans. Knowl. Data Eng.
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2026 A* conf
Point Cloud Semantic Scene Completion with Prototype-Guided Transformer.
AAAI
Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao
2026 J jnl
Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation.
Neural Networks
Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang
2026 J jnl
SRCR: Faithful structured reasoning with curriculum reinforcement learning for explainable question answering.
Inf. Process. Manag.
Yue Fan, Hu Zhang, Ru Li, Guangjun Zhang, Yujie Wang, Hongye Tan, Yuanlong Wang, Xiaoli Li, Jiye Liang
2026 A* conf
Semantic Guided Part Relation-aware Network for Point Cloud Completion.
AAAI
Zhensheng Zhou, Jianqing Liang, Jiye Liang, Zijin Du, Chenghao Fang
2025 J jnl
A Survey of Continual Reinforcement Learning.
CoRR
Chaofan Pan, Xin Yang, Yanhua Li, Wei Wei, Tianrui Li, Bo An, Jiye Liang
2025 J jnl
A motif based hypergraph multi-level semantic encoding framework for social recommender systems.
Signal Process.
Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang
2025 J jnl
An efficient Bayes error rate estimation method.
Mach. Learn.
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2025 J jnl
Atomic Fact Decomposition Helps Attributed Question Answering.
IEEE Trans. Knowl. Data Eng.
Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Jiye Liang, Ru Li, Jeff Z. Pan
2025 J jnl
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models.
CoRR
Xin Zhang, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
CM-CaFE: A Clustering Method with Causality-based Feature Embedding.
ACM Trans. Knowl. Discov. Data
Xuechun Jing, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Causal Inference for Multi-Criteria Rating Recommender Systems.
ACM Trans. Inf. Syst.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2025 J jnl
Causal intervention for knowledge graph denoising in recommender systems.
Int. J. Mach. Learn. Cybern.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Chuangyin Dang, Jiye Liang
2025 J jnl
Chain graphs structure learning given local background knowledge.
Int. J. Approx. Reason.
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 — ed.
Chinese Computational Linguistics - 23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024, Proceedings
CCL
Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian
2025 J jnl
Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment.
CoRR
Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang
2025 J jnl
Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer.
IEEE Trans. Circuits Syst. Video Technol.
Zhuomin Liang, Liang Bai, Jinyu Fan, Xian Yang, Jiye Liang
2025 A* conf
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation.
ICML
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang
2025 A conf
Cross-Channel Graph Attention Mechanism for Deep Convolutional Neural Networks.
ECAI
Kaixuan Yao, Mingxu Zhang, Jiao Zhao, Junbiao Cui, Jiye Liang
2025 A* conf
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction.
ICML
Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio
2025 J jnl
Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models.
Neurocomputing
Pengpeng Qiang, Hongye Tan, Xiaoli Li, Dian Wang, Ru Li, Xinyi Sun, Hu Zhang, Jiye Liang
2025 — conf
Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
DASFAA (6)
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
CoRR
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Xuechun Jing, Kui Yu, Jiye Liang
2025 A* conf
Federated Causal Structure Learning with Non-identical Variable Sets.
ICML
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2025 J jnl
Federated local causal structure learning.
Sci. China Inf. Sci.
Kui Yu, Chen Rong, Hao Wang, Fuyuan Cao, Jiye Liang
2025 A* conf
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning.
AAAI
Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2025 J jnl
Generalization Error Bounds for Graph Neural Networks in Unseen Domains.
IEEE Trans. Artif. Intell.
Peiyao Wang, Liang Bai, Xian Yang, Xi Wang, Jiye Liang
2025 J jnl
Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information.
IEEE Trans. Multim.
Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang
2025 A* conf
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks.
AAAI
Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang
2025 A conf
Hawkes Point Process-enhanced Dynamic Graph Neural Network.
WSDM
Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang
2025 A* conf
Human Cognition-Inspired Hierarchical Fuzzy Learning Machine.
ICML
Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang
2025 A* conf
Hyperbolic Multi-Criteria Rating Recommendation.
SIGIR
Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2025 J jnl
Image dehazing via self-supervised depth guidance.
Pattern Recognit.
Yudong Liang, Shaoji Li, De Cheng, Wenjian Wang, Deyu Li, Jiye Liang
2025 A* conf
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning.
AAAI
Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2025 J jnl
Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Yecheng Guo, Liang Bai, Xian Yang, Jiye Liang
2025 A* conf
Label Noise Correction via Fuzzy Learning Machine.
AAAI
Jiye Liang, Yixiao Li, Junbiao Cui
2025 J jnl
Label-Semantic-Based Prompt Tuning for Vision Transformer Adaptation in Medical Image Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Yu Bai, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization.
CoRR
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2025 A* conf
Learning Textual Prompts for Open-World Semi-Supervised Learning.
CVPR
Yuxin Fan, Junbiao Cui, Jiye Liang
2025 J jnl
Learning robust MLPs on graphs via cross-layer distillation from a causal perspective.
Pattern Recognit.
Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, Jiye Liang
2025 A* conf
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition.
IJCAI
Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang
2025 J jnl
MU-OLTC: meta uncertainty calibration for open-set long-tailed classification.
Int. J. Mach. Learn. Cybern.
Zihao Li, Xiaodong Yue, Jiye Liang, Jie Shi, Zhipeng Wei
2025 J jnl
Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-Constraints.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment.
IEEE Trans. Multim.
Huimin Yan, Xian Yang, Liang Bai, Jiamin Li, Jiye Liang
2025 A* conf
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer.
IJCAI
Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao
2025 J jnl
Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning.
Inf. Fusion
Anhui Tan, Yu Wang, Wei-Zhi Wu, Weiping Ding, Jiye Liang
2025 J jnl
Multi-View Partial Multi-Label Learning via Class Activation Specific Features Collaborative Learning.
IEEE Trans. Emerg. Top. Comput.
Anhui Tan, Jianhang Xu, Weiping Ding, Jiye Liang, Witold Pedrycz
2025 B conf
Multimodal enhanced Explainable Recommendation with Contrastive Learning.
IJCNN
Kaihan Zhang, Zixuan Wang, Kangchi Liu, Ping Chen, Peng Song, Jiye Liang
2025 A* conf
Open-World Semi-Supervised Learning with Class Semantic Correlations.
IJCAI
Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang
2025 J jnl
PAH2T-Former: Paired-Attention Hybrid Hierarchical Transformer for Synergistically Enhanced FMT Reconstruction Quality and Efficiency.
IEEE Trans. Computational Imaging
Peng Zhang, Xingyu Liu, Qianqian Xue, Yu Shang, Chen Liu, Ruhao Chen, Honglei Gao, Jiye Liang, Wenjian Wang, Guanglei Zhang
2025 J jnl
Partial Multilabel Learning via Dynamic Fuzzy Aggregations of Multigranularity Features.
IEEE Trans. Fuzzy Syst.
Anhui Tan, Jianhang Xu, Weizhi Wu, Weiping Ding, Jiye Liang
2025 J jnl
PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction.
IEEE Trans. Knowl. Data Eng.
Lei Guan, Dongsheng Li, Yongle Chen, Jiye Liang, Wenjian Wang, Xicheng Lu
2025 J jnl
Positive region preserved random sampling: an efficient feature selection method for massive data.
CoRR
Hexiang Bai, Deyu Li, Jiye Liang, Yanhui Zhai
2025 J jnl
Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities.
CoRR
Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Yanyan Wang, Hongye Tan, Jiye Liang, Xiaoli Li, Ru Li, Jeff Z. Pan
2025 J jnl
RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data.
IEEE Trans. Neural Networks Learn. Syst.
Jieting Wang, Feijiang Li, Jue Li, Chenping Hou, Yuhua Qian, Jiye Liang
2025 J jnl
Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency.
Neural Networks
Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang
2025 J jnl
SAS: A General Framework Induced by Sequence Association for Shape From Focus.
IEEE Trans. Pattern Anal. Mach. Intell.
Tao Yan, Yuhua Qian, Jiangfeng Zhang, Jieting Wang, Jiye Liang
2025 J jnl
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies.
CoRR
Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025 J jnl
Self-Constrained Clustering Ensemble.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Wei, Jianguo Wu, Xinyao Guo, Jing Yan, Jiye Liang
2025 J jnl
Summary Graph Induced Invariant Learning for Generalizable Graph Learning.
IEEE Trans. Knowl. Data Eng.
Xuecheng Ning, Yujie Wang, Kui Yu, Jiali Miao, Fuyuan Cao, Jiye Liang
2025 J jnl
TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis.
Pattern Recognit. Lett.
Zijin Du, Jiye Liang, Kaixuan Yao, Feilong Cao
2025 A* conf
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective.
IJCAI
Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang
2025 J jnl
Weakly-supervised explainable question answering via question aware contrastive learning and adaptive gate mechanism.
Inf. Sci.
Yue Fan, Hu Zhang, Ru Li, Yujie Wang, Guangjun Zhang, Hongye Tan, Jiye Liang
2024 J jnl
A unified framework to control estimation error in reinforcement learning.
Neural Networks
Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang
2024 J jnl
A zero-shot learning boosting framework via concept-constrained clustering.
Pattern Recognit.
Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang
2024 — conf
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization.
ACL (Short Papers)
Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2024 J jnl
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion.
IEEE Trans. Neural Networks Learn. Syst.
Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu
2024 J jnl
Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview.
J. Comput. Sci. Technol.
Lei Guan, Dong-Sheng Li, Jiye Liang, Wen-Jian Wang, Ke-shi Ge, Xicheng Lu
2024 J jnl
An incremental feature selection approach for dynamic feature variation.
Neurocomputing
Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang
2024 J jnl
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism.
IEEE Trans. Knowl. Data Eng.
Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang
2024 J jnl
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang
2024 J jnl
Controlling estimation error in reinforcement learning via Reinforced Operation.
Inf. Sci.
Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang
2024 J jnl
Debiased graph contrastive learning based on positive and unlabeled learning.
Int. J. Mach. Learn. Cybern.
Zhiqiang Li, Jie Wang, Jiye Liang
2024 J jnl
Deep multi-view graph clustering network with weighting mechanism and collaborative training.
Expert Syst. Appl.
Jing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang
2024 J jnl
Discovering causally invariant features for out-of-distribution generalization.
Pattern Recognit.
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
2024 J jnl
Efficient Classification by Removing Bayesian Confusing Samples.
IEEE Trans. Knowl. Data Eng.
Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang
2024 J jnl
Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks.
IEEE Trans. Knowl. Data Eng.
Haijun Zhang, Xian Yang, Liang Bai, Jiye Liang
2024 — conf
FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering.
ACL (Findings)
Yue Fan, Hu Zhang, Ru Li, Yujie Wang, Hongye Tan, Jiye Liang
2024 J jnl
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning.
CoRR
Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2024 J jnl
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.
IEEE Trans. Neural Networks Learn. Syst.
Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao
2024 A* conf
Graph External Attention Enhanced Transformer.
ICML
Jianqing Liang, Min Chen, Jiye Liang
2024 J jnl
Graph External Attention Enhanced Transformer.
CoRR
Jianqing Liang, Min Chen, Jiye Liang
2024 J jnl
Graph Regulation Network for Point Cloud Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao
2024 J jnl
Heterogeneous-Graph Reasoning With Context Paraphrase for Commonsense Question Answering.
IEEE ACM Trans. Audio Speech Lang. Process.
Yujie Wang, Hu Zhang, Jiye Liang, Ru Li
2024 — conf
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction.
ACL (1)
Guangjun Zhang, Hu Zhang, Yujie Wang, Ru Li, Hongye Tan, Jiye Liang
2024 A* conf
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting.
ICML
Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2024 — conf
InstructEd: Soft-Instruction Tuning for Model Editing with Hops.
ACL (Findings)
Xiaoqi Han, Ru Li, Xiaoli Li, Jiye Liang, Zifang Zhang, Jeff Z. Pan
2024 J jnl
K-Relations-Based Consensus Clustering With Entropy-Norm Regularizers.
IEEE Trans. Neural Networks Learn. Syst.
Liang Bai, Jiye Liang
2024 J jnl
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning.
IEEE Trans. Big Data
Shujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang
2024 J jnl
Multi-view clustering via dynamic unified bipartite graph learning.
Pattern Recognit.
Xingwang Zhao, Shujun Wang, Xiaolin Liu, Jiye Liang
2024 J jnl
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.
IEEE Trans. Knowl. Data Eng.
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu
2024 J jnl
Re-attentive experience replay in off-policy reinforcement learning.
Mach. Learn.
Wei Wei, Da Wang, Lin Li, Jiye Liang
2024 J jnl
Resilient dynamic output feedback control for leader-following consensus of high-order uncertain multi-agent systems under sensor-actuator attacks.
J. Frankl. Inst.
Xiu You, Jiye Liang, Changchun Hua, Kuo Li
2024 J jnl
Robust graph neural networks with Dirichlet regularization and residual connection.
Int. J. Mach. Learn. Cybern.
Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang
2024 A* conf
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning.
NeurIPS
Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang
2024 J jnl
Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection.
Inf. Sci.
Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
2024 A* conf
SpeAr: A Spectral Approach for Zero-Shot Node Classification.
NeurIPS
Ting Guo, Da Wang, Jiye Liang, Kaihan Zhang, Jianchao Zeng
2024 J jnl
Towards Effective Graph Rationalization via Boosting Environment Diversity.
CoRR
Yujie Wang, Kui Yu, Yuhong Zhang, Fuyuan Cao, Jiye Liang
2024 — conf
Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI.
MICCAI (10)
Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang
2023 A* conf
A General Representation Learning Framework with Generalization Performance Guarantees.
ICML
Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang
2023 J jnl
A bi-level metric learning framework via self-paced learning weighting.
Pattern Recognit.
Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang
2023 J jnl
A new contrastive learning framework for reducing the effect of hard negatives.
Knowl. Based Syst.
Wentao Cui, Liang Bai, Xian Yang, Jiye Liang
2023 J jnl
A trilevel analysis of uncertainty measuresin partition-based granular computing.
Artif. Intell. Rev.
Baoli Wang, Jiye Liang, Yiyu Yao
2023 J jnl
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216].
Inf. Sci.
Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz
2023 J jnl
Coupling learning for feature selection in categorical data.
Int. J. Mach. Learn. Cybern.
Feng Wang, Jiye Liang, Peng Song
2023 — conf
Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering.
ACL (1)
Yujie Wang, Hu Zhang, Jiye Liang, Ru Li
2023 J jnl
Evaluating Classification Model Against Bayes Error Rate.
IEEE Trans. Pattern Anal. Mach. Intell.
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2023 J jnl
Exploring the role of edge distribution in graph convolutional networks.
Neural Networks
Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang
2023 J jnl
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang
2023 A conf
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.
WSDM
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
2023 J jnl
Group-wise interactive region learning for zero-shot recognition.
Inf. Sci.
Ting Guo, Jiye Liang, Guo-Sen Xie
2023 J jnl
High-order graph attention network.
Inf. Sci.
Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang
2023 A* conf
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
2023 J jnl
Hybrid sampling-based contrastive learning for imbalanced node classification.
Int. J. Mach. Learn. Cybern.
Caixia Cui, Jie Wang, Wei Wei, Jiye Liang
2023 J jnl
Local Causal Discovery in Multiple Manipulated Datasets.
IEEE Trans. Neural Networks Learn. Syst.
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2023 J jnl
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
2023 J jnl
Multi-actor mechanism for actor-critic reinforcement learning.
Inf. Sci.
Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang
2023 J jnl
Multiple metric learning via local metric fusion.
Inf. Sci.
Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei
2023 J jnl
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction.
CoRR
Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu
2023 J jnl
Random Deep Graph Matching.
IEEE Trans. Knowl. Data Eng.
Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang
2023 J jnl
Self-Constrained Spectral Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Yunxiao Zhao
2023 A* conf
Set-membership Belief State-based Reinforcement Learning for POMDPs.
ICML
Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang
2023 J jnl
Spectral clustering with robust self-learning constraints.
Artif. Intell.
Liang Bai, Minxue Qi, Jiye Liang
2023 A conf
Swap-Reconstruction Autoencoder for Compositional Zero-Shot Learning.
ICME
Ting Guo, Jiye Liang, Guo-Sen Xie
2023 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
IEEE Trans. Big Data
Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
2023 J jnl
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results.
IEEE Trans. Knowl. Data Eng.
Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang
2022 J jnl
A Bayesian matrix factorization model for dynamic user embedding in recommender system.
Frontiers Comput. Sci.
Kaihan Zhang, Zhiqiang Wang, Jiye Liang, Xingwang Zhao
2022 J jnl
A categorical data clustering framework on graph representation.
Pattern Recognit.
Liang Bai, Jiye Liang
2022 J jnl
A group incremental approach for feature selection on hybrid data.
Soft Comput.
Feng Wang, Wei Wei, Jiye Liang
2022 J jnl
AF: An Association-Based Fusion Method for Multi-Modal Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang
2022 J jnl
Accelerating ReliefF using information granulation.
Int. J. Mach. Learn. Cybern.
Wei Wei, Da Wang, Jiye Liang
2022 J jnl
Active and Semi-Supervised Graph Neural Networks for Graph Classification.
IEEE Trans. Big Data
Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang
2022 J jnl
An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints.
Int. J. Mach. Learn. Cybern.
Xiaofang Gao, Jiye Liang, Wenjian Wang, Xuefei Bai, Lina Jia
2022 J jnl
Centroids-guided deep multi-view
Inf. Sci.
Jing Liu, Fuyuan Cao, Jiye Liang
2022 J jnl
Clustering mixed type data: a space structure-based approach.
Int. J. Mach. Learn. Cybern.
Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang
2022 A* conf
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.
AAAI
Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li
2022 J jnl
Cross-modal propagation network for generalized zero-shot learning.
Pattern Recognit. Lett.
Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie
2022 A* conf
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification.
KDD
Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai
2022 A* conf
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets.
AAAI
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
2022 A* conf
Fuzzy Learning Machine.
NeurIPS
Junbiao Cui, Jiye Liang
2022 J jnl
Graph convolutional autoencoders with co-learning of graph structure and node attributes.
Pattern Recognit.
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
2022 J jnl
Hierarchical metric learning with intra-level and inter-level regularization.
Int. J. Mach. Learn. Cybern.
Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang
2022 — conf
Hypergraphs: Concepts, Applications and Analysis.
PAAP
Wenping Zheng, Meilin Liu, Jiye Liang
2022 J jnl
Incomplete multi-view clustering via local and global co-regularization.
Sci. China Inf. Sci.
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
2022 A* conf
Instance Selection: A Bayesian Decision Theory Perspective.
AAAI
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
2022 J jnl
Metric learning via perturbing hard-to-classify instances.
Pattern Recognit.
Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang
2022 A conf
Multi-Scale Variational Graph AutoEncoder for Link Prediction.
WSDM
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
2022 J jnl
Multi-view graph convolutional networks with attention mechanism.
Artif. Intell.
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
2022 J jnl
Self-supervised spectral clustering with exemplar constraints.
Pattern Recognit.
Liang Bai, Yunxiao Zhao, Jiye Liang
2022 J jnl
Semi-supervised partial multi-label classification via consistency learning.
Pattern Recognit.
Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang
2022 J jnl
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection.
CoRR
Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
2022 J jnl
Towards Privacy-Aware Causal Structure Learning in Federated Setting.
CoRR
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
2022 J jnl
Weak multi-label learning with missing labels via instance granular discrimination.
Inf. Sci.
Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz
2021 J jnl
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective.
J. Mach. Learn. Res.
Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang
2021 J jnl
A community detection algorithm based on graph compression for large-scale social networks.
Inf. Sci.
Xingwang Zhao, Jiye Liang, Jie Wang
2021 J jnl
An outlier detection algorithm for categorical matrix-object data.
Appl. Soft Comput.
Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang
2021 J jnl
BIC-based node order learning for improving Bayesian network structure learning.
Frontiers Comput. Sci.
Yali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian
2021 J jnl
Deep neural network compression through interpretability-based filter pruning.
Pattern Recognit.
Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
2021 J jnl
Fuzzy rough discrimination and label weighting for multi-label feature selection.
Neurocomputing
Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen
2021 J jnl
Graph-based semi-supervised learning via improving the quality of the graph dynamically.
Mach. Learn.
Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei
2021 J jnl
Logic could be learned from images.
Int. J. Mach. Learn. Cybern.
Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang
2021 J jnl
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA.
Int. J. Mach. Learn. Cybern.
Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang
2021 J jnl
Metric learning with clustering-based constraints.
Int. J. Mach. Learn. Cybern.
Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang
2021 J jnl
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Fuyuan Cao
2021 J jnl
Semi-supervised learning with mixed-order graph convolutional networks.
Inf. Sci.
Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang
2020 A* conf
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering.
AAAI
Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang
2020 J jnl
A Novel Preference Measure for Multi-Granularity Probabilistic Linguistic Term Sets and its Applications in Large-Scale Group Decision-Making.
Int. J. Fuzzy Syst.
Baoli Wang, Jiye Liang
2020 A* conf
A Three-Level Optimization Model for Nonlinearly Separable Clustering.
AAAI
Liang Bai, Jiye Liang
2020 J jnl
A fusion collaborative filtering method for sparse data in recommender systems.
Inf. Sci.
Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang
2020 J jnl
A multiple
Inf. Fusion
Liang Bai, Jiye Liang, Fuyuan Cao
2020 J jnl
A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers.
Concurr. Comput. Pract. Exp.
Yali Lv, Weixin Hu, Jiye Liang, Yuhua Qian, Junzhong Miao
2020 J jnl
An accelerator for the logistic regression algorithm based on sampling on-demand.
Sci. China Inf. Sci.
Jiye Liang, Yunsheng Song, Deyu Li, Zhiqiang Wang, Chuangyin Dang
2020 J jnl
Combining attribute content and label information for categorical data ensemble clustering.
Appl. Math. Comput.
Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang
2020 J jnl
Deconvolutional neural network for image super-resolution.
Neural Networks
Feilong Cao, Kaixuan Yao, Jiye Liang
2020 J jnl
Fusing Fuzzy Monotonic Decision Trees.
IEEE Trans. Fuzzy Syst.
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding
2020 J jnl
Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making.
Inf. Sci.
Chao Zhang, Deyu Li, Jiye Liang
2020 J jnl
Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions.
Int. J. Approx. Reason.
Jifang Pang, Xiaoqiang Guan, Jiye Liang, Baoli Wang, Peng Song
2020 J jnl
Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes.
Inf. Sci.
Chao Zhang, Deyu Li, Jiye Liang
2020 J jnl
New label propagation algorithm with pairwise constraints.
Pattern Recognit.
Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du
2020 A* conf
Sparse Subspace Clustering with Entropy-Norm.
ICML
Liang Bai, Jiye Liang
2020 J jnl
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
Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang
2019 J jnl
A novel edge rewiring strategy for tuning structural properties in networks.
Knowl. Based Syst.
Junfang Mu, Wenping Zheng, Jie Wang, Jiye Liang
2019 J jnl
A stratified sampling based clustering algorithm for large-scale data.
Knowl. Based Syst.
Xingwang Zhao, Jiye Liang, Chuangyin Dang
2019 J jnl
Accelerating incremental attribute reduction algorithm by compacting a decision table.
Int. J. Mach. Learn. Cybern.
Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu
2019 J jnl
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.
Neural Process. Lett.
Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang
2019 J jnl
An Information-Theoretical Framework for Cluster Ensemble.
IEEE Trans. Knowl. Data Eng.
Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2019 J jnl
An accelerator for support vector machines based on the local geometrical information and data partition.
Int. J. Mach. Learn. Cybern.
Yunsheng Song, Jiye Liang, Feng Wang
2019 J jnl
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification.
Symmetry
Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li
2019 J jnl
Deviation Degree: A Perspective on Score Functions in Hesitant Fuzzy Sets.
Int. J. Fuzzy Syst.
Baoli Wang, Jiye Liang, Jifang Pang
2019 J jnl
Hierarchical division clustering framework for categorical data.
Neurocomputing
Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun
2019 J jnl
Information fusion in rough set theory : An overview.
Inf. Fusion
Wei Wei, Jiye Liang
2019 J jnl
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection.
IEEE Trans. Fuzzy Syst.
Anhui Tan, Wei-Zhi Wu, Yuhua Qian, Jiye Liang, Jinkun Chen, Jinjin Li
2019 J jnl
Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification.
Int. J. Mach. Learn. Cybern.
Yang Li, Jie Wang, Suge Wang, Jiye Liang, Juanzi Li
2019 J jnl
Logic could be learned from images.
CoRR
Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang
2019 J jnl
Protein complex detection algorithm based on multiple topological characteristics in PPI networks.
Inf. Sci.
Jie Wang, Jiye Liang, Wenping Zheng, Xingwang Zhao, Junfang Mu
2019 J jnl
Sign fusion of multiple QPNs based on qualitative mutual information.
Int. J. Comput. Sci. Eng.
Yali Lv, Jiye Liang, Yuhua Qian, Jiajie Wu, Suqin Ji
2019 J jnl
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
Jie Wang, Jiye Liang, Xingwang Zhao, Wenping Zheng
2019 J jnl
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
Xiaoqiang Guan, Jifang Pang, Jiye Liang
2018 J jnl
A cautious ranking methodology with its application for stock screening.
Appl. Soft Comput.
Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang
2018 J jnl
A fusion probability matrix factorization framework for link prediction.
Knowl. Based Syst.
Zhiqiang Wang, Jiye Liang, Ru Li
2018 J jnl
A new distance with derivative information for functional
Inf. Sci.
Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He
2018 J jnl
A novel community detection algorithm based on simplification of complex networks.
Knowl. Based Syst.
Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2018 J jnl
A sequential ensemble clusterings generation algorithm for mixed data.
Appl. Math. Comput.
Xingwang Zhao, Fuyuan Cao, Jiye Liang
2018 J jnl
An Algorithm for Clustering Categorical Data With Set-Valued Features.
IEEE Trans. Neural Networks Learn. Syst.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian
2018 J jnl
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters.
IEEE Trans. Fuzzy Syst.
Liang Bai, Jiye Liang, Yike Guo
2018 J jnl
Discernibility matrix based incremental attribute reduction for dynamic data.
Knowl. Based Syst.
Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun
2018 J jnl
Exploiting user-to-user topic inclusion degree for link prediction in social-information networks.
Expert Syst. Appl.
Zhiqiang Wang, Jiye Liang, Ru Li
2018 J jnl
Hesitant fuzzy linguistic rough set over two universes model and its applications.
Int. J. Mach. Learn. Cybern.
Chao Zhang, Deyu Li, Jiye Liang
2018 J jnl
Local neighborhood rough set.
Knowl. Based Syst.
Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang
2018 J jnl
Local rough set: A solution to rough data analysis in big data.
Int. J. Approx. Reason.
Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang
2018 J jnl
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
Xingwang Zhao, Jiye Liang, Lanjie Guo
2017 J jnl
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.
Appl. Math. Comput.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2017 J jnl
A multi-view OVA model based on decision tree for multi-classification tasks.
Knowl. Based Syst.
Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang
2017 J jnl
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.
CoRR
Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang
2017 J jnl
An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment.
Appl. Soft Comput.
Jifang Pang, Jiye Liang, Peng Song
2017 J jnl
An efficient instance selection algorithm for k nearest neighbor regression.
Neurocomputing
Yunsheng Song, Jiye Liang, Jing Lu, Xingwang Zhao
2017 J jnl
Clustering ensemble selection for categorical data based on internal validity indices.
Pattern Recognit.
Xingwang Zhao, Jiye Liang, Chuangyin Dang
2017 J jnl
Fast density clustering strategies based on the k-means algorithm.
Pattern Recognit.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo
2017 J jnl
Fast graph clustering with a new description model for community detection.
Inf. Sci.
Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo
2017 J jnl
Grouping granular structures in human granulation intelligence.
Inf. Sci.
Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, Witold Pedrycz, Chuangyin Dang
2017 A* conf
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
ICDM
Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
2017 J jnl
Local multigranulation decision-theoretic rough sets.
Int. J. Approx. Reason.
Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang
2017 J jnl
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.
Inf. Sci.
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
2017 J jnl
k-mw-modes: An algorithm for clustering categorical matrix-object data.
Appl. Soft Comput.
Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang
2016 J jnl
A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems.
Knowl. Based Syst.
Guoping Lin, Jiye Liang, Yuhua Qian, Jinjin Li
2016 — conf
Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions.
ICIAR
Junhong Wang, Yun-Qian Miao, Alaa M. Khamis, Fakhri Karray, Jiye Liang
2016 J jnl
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.
IEEE Trans. Knowl. Data Eng.
Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian
2016 J jnl
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.
IEEE Trans. Knowl. Data Eng.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen
2016 J jnl
An efficient feature selection algorithm for hybrid data.
Neurocomputing
Feng Wang, Jiye Liang
2016 J jnl
Comparison study of orthonormal representations of functional data in classification.
Knowl. Based Syst.
Yinfeng Meng, Jiye Liang, Yuhua Qian
2016 J jnl
Decision-theoretic rough sets under dynamic granulation.
Knowl. Based Syst.
Yanli Sang, Jiye Liang, Yuhua Qian
2016 J jnl
Fuzzy rough approximations for set-valued data.
Inf. Sci.
Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang
2016 J jnl
Space Structure and Clustering of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst.
Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang
2016 J jnl
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
Tianjie Pang, Jiye Liang
2015 J jnl
A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Baoli Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang
2015 J jnl
An improved incremental nonlinear dimensionality reduction for isometric data embedding.
Inf. Process. Lett.
Xiaofang Gao, Jiye Liang
2015 J jnl
An information fusion approach by combining multigranulation rough sets and evidence theory.
Inf. Sci.
Guoping Lin, Jiye Liang, Yuhua Qian
2015 J jnl
Cluster validity functions for categorical data: a solution-space perspective.
Data Min. Knowl. Discov.
Liang Bai, Jiye Liang
2015 J jnl
Compacted decision tables based attribute reduction.
Knowl. Based Syst.
Wei Wei, Junhong Wang, Jiye Liang, Xin Mi, Chuangyin Dang
2015 — conf
Decision-Oriented Rough Set Methods.
RSFDGrC
Jiye Liang
2015 J jnl
Determining decision makers' weights in group ranking: a granular computing method.
Int. J. Mach. Learn. Cybern.
Baoli Wang, Jiye Liang, Yuhua Qian
2015 J jnl
Fusing Monotonic Decision Trees.
IEEE Trans. Knowl. Data Eng.
Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang
2015 J jnl
Fuzzy Granular Structure Distance.
IEEE Trans. Fuzzy Syst.
Yuhua Qian, Yebin Li, Jiye Liang, Guoping Lin, Chuangyin Dang
2015 J jnl
Fuzzy-rough feature selection accelerator.
Fuzzy Sets Syst.
Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang, Chuangyin Dang
2015 — conf
Methods and Practices of Three-Way Decisions for Complex Problem Solving.
RSKT
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
2015 Misc conf
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method.
ICMLC
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
2015 J jnl
Uncertainty Measures for Multigranulation Approximation Space.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Guoping Lin, Jiye Liang, Yuhua Qian
2014 J jnl
A Group Incremental Approach to Feature Selection Applying Rough Set Technique.
IEEE Trans. Knowl. Data Eng.
Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian
2014 — conf
A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory.
RSKT
Baoli Wang, Jiye Liang
2014 J jnl
A rule-extraction framework under multigranulation rough sets.
Int. J. Mach. Learn. Cybern.
Xin Liu, Yuhua Qian, Jiye Liang
2014 J jnl
A simple and effective outlier detection algorithm for categorical data.
Int. J. Mach. Learn. Cybern.
Xingwang Zhao, Jiye Liang, Fuyuan Cao
2014 J jnl
Multigranulation decision-theoretic rough sets.
Int. J. Approx. Reason.
Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang
2014 J jnl
Pessimistic rough set based decisions: A multigranulation fusion strategy.
Inf. Sci.
Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang
2014 J jnl
Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making.
Fundam. Informaticae
Baoli Wang, Jiye Liang, Yuhua Qian
2014 J jnl
Set-based granular computing: A lattice model.
Int. J. Approx. Reason.
Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang
2014 J jnl
The k-modes type clustering plus between-cluster information for categorical data.
Neurocomputing
Liang Bai, Jiye Liang
2014 J jnl
Topological approach to multigranulation rough sets.
Int. J. Mach. Learn. Cybern.
Guoping Lin, Jiye Liang, Yuhua Qian
2014 J jnl
Trend analysis of categorical data streams with a concept change method.
Inf. Sci.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2013 J jnl
A novel fuzzy clustering algorithm with between-cluster information for categorical data.
Fuzzy Sets Syst.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2013 J jnl
A weighting k-modes algorithm for subspace clustering of categorical data.
Neurocomputing
Fuyuan Cao, Jiye Liang, Deyu Li, Xingwang Zhao
2013 J jnl
An accelerator for attribute reduction based on perspective of objects and attributes.
Knowl. Based Syst.
Jiye Liang, Junrong Mi, Wei Wei, Feng Wang
2013 J jnl
Attribute reduction for dynamic data sets.
Appl. Soft Comput.
Feng Wang, Jiye Liang, Chuangyin Dang
2013 J jnl
Attribute reduction: A dimension incremental strategy.
Knowl. Based Syst.
Feng Wang, Jiye Liang, Yuhua Qian
2013 J jnl
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Inf. Sci.
Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang
2013 J jnl
Consistency-preserving attribute reduction in fuzzy rough set framework.
Int. J. Mach. Learn. Cybern.
Yuhua Qian, Jiye Liang, Wei Wei
2013 — conf
Contact Network Model with Covert Infection.
ICSI (2)
Xiaomei Yang, Jianchao Zeng, Jiye Liang
2013 J jnl
Decision-relative discernibility matrices in the sense of entropies.
Int. J. Gen. Syst.
Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian
2013 J jnl
Fast global k-means clustering based on local geometrical information.
Inf. Sci.
Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang
2013 J jnl
Multigranulation rough sets: From partition to covering.
Inf. Sci.
Guoping Lin, Jiye Liang, Yuhua Qian
2013 J jnl
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A cluster centers initialization method for clustering categorical data.
Expert Syst. Appl.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A comparative study of rough sets for hybrid data.
Inf. Sci.
Wei Wei, Jiye Liang, Yuhua Qian
2012 J jnl
A dissimilarity measure for the k-Modes clustering algorithm.
Knowl. Based Syst.
Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang
2012 J jnl
A two-grade approach to ranking interval data.
Knowl. Based Syst.
Peng Song, Jiye Liang, Yuhua Qian
2012 J jnl
An efficient rough feature selection algorithm with a multi-granulation view.
Int. J. Approx. Reason.
Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian
2012 J jnl
Determining the number of clusters using information entropy for mixed data.
Pattern Recognit.
Jiye Liang, Xingwang Zhao, Deyu Li, Fuyuan Cao, Chuangyin Dang
2012 J jnl
Distance: A more comprehensible perspective for measures in rough set theory.
Knowl. Based Syst.
Jiye Liang, Ru Li, Yuhua Qian
2012 J jnl
Evaluation of the decision performance of the decision rule set from an ordered decision table.
Knowl. Based Syst.
Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei
2012 Misc conf
Feature selection for large-scale data sets in GrC.
GrC
Jiye Liang
2012 — conf
Fuzziness-Preserving Attribute Reduction from Hybrid Data.
IScIDE
Wei Wei, Jiye Liang, Yuhua Qian, Junhong Wang
2012 — conf
Information Granularity and Granular Structure in Decision Making.
RSKT
Baoli Wang, Jiye Liang, Yuhua Qian
2012 J jnl
Partial ordering of information granulations: a further investigation.
Expert Syst. J. Knowl. Eng.
Yuhua Qian, Chuangyin Dang, Jiye Liang, Wei-Zhi Wu
2012 J jnl
The K -Means-Type Algorithms Versus Imbalanced Data Distributions.
IEEE Trans. Fuzzy Syst.
Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao
2012 Misc conf
Variable precision multi-granulation rough set.
GrC
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
2011 J jnl
A data labeling method for clustering categorical data.
Expert Syst. Appl.
Fuyuan Cao, Jiye Liang
2011 J jnl
A novel attribute weighting algorithm for clustering high-dimensional categorical data.
Pattern Recognit.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2011 — conf
An Efficient Fuzzy-Rough Attribute Reduction Approach.
RSKT
Yuhua Qian, Chao Li, Jiye Liang
2011 J jnl
An efficient accelerator for attribute reduction from incomplete data in rough set framework.
Pattern Recognit.
Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang
2011 J jnl
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data.
Knowl. Based Syst.
Liang Bai, Jiye Liang, Chuangyin Dang
2011 — conf
Closed-Label Concept Lattice Based Rule Extraction Approach.
ICIC (3)
Junhong Wang, Jiye Liang, Yuhua Qian
2011 B conf
How to organize data with measurement errors?
SMC
Yuhua Qian, Jiye Liang
2011 J jnl
Information Granularity in Fuzzy Binary GrC Model.
IEEE Trans. Fuzzy Syst.
Yuhua Qian, Jiye Liang, Wei-Zhi Wu, Chuangyin Dang
2011 J jnl
The dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding.
Pattern Recognit. Lett.
Xiaofang Gao, Jiye Liang
2011 — conf
Uncertainty and Feature Selection in Rough Set Theory.
RSKT
Jiye Liang
2010 J jnl
A Framework for Clustering Categorical Time-Evolving Data.
IEEE Trans. Fuzzy Syst.
Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang
2010 Misc conf
A heuristic method to attribute reduction for concept lattice.
ICMLC
Junhong Wang, Jiye Liang, Yuhua Qian
2010 J jnl
Approximation reduction in inconsistent incomplete decision tables.
Knowl. Based Syst.
Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma
2010 J jnl
Comparative study of decision performance of decision tables induced by attribute reductions.
Int. J. Gen. Syst.
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang
2010 J jnl
Incomplete Multigranulation Rough Set.
IEEE Trans. Syst. Man Cybern. Part A
Yuhua Qian, Jiye Liang, Chuangyin Dang
2010 J jnl
MGRS: A multi-granulation rough set.
Inf. Sci.
Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang
2010 Misc conf
On Partial Order Relations in Granular Computing.
GrC
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei
2010 J jnl
Positive approximation: An accelerator for attribute reduction in rough set theory.
Artif. Intell.
Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang
2009 J jnl
A New Method for Measuring the Uncertainty in Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Yuhua Qian, Jiye Liang, Feng Wang
2009 — conf
A Time-Reduction Strategy to Feature Selection in Rough Set Theory.
RSKT
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
2009 J jnl
A deterministic annealing algorithm for approximating a solution of the min-bisection problem.
Neural Networks
Chuangyin Dang, Wei Ma, Jiye Liang
2009 J jnl
A new initialization method for categorical data clustering.
Expert Syst. Appl.
Fuyuan Cao, Jiye Liang, Liang Bai
2009 J jnl
A new measure of uncertainty based on knowledge granulation for rough sets.
Inf. Sci.
Jiye Liang, Junhong Wang, Yuhua Qian
2009 — conf
An attribute reduction approach and its accelerated version for hybrid data.
IEEE ICCI
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
2009 J jnl
An initialization method for the K-Means algorithm using neighborhood model.
Comput. Math. Appl.
Fuyuan Cao, Jiye Liang, Guang Jiang
2009 — conf
Apply Inversion Order Number Genetic Algorithm to the Job Shop Scheduling Problem.
WGEC
Xiaomei Yang, Jianchao Zeng, Jiye Liang
2009 J jnl
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base.
Int. J. Approx. Reason.
Yuhua Qian, Jiye Liang, Chuangyin Dang
2009 J jnl
Set-valued ordered information systems.
Inf. Sci.
Yuhua Qian, Chuangyin Dang, Jiye Liang, Dawei Tang
2008 Misc conf
Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.
GrC
Wei Wei, Jiye Liang, Yuhua Qian
2008 J jnl
Combination Entropy and Combination Granulation in Rough Set Theory.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Yuhua Qian, Jiye Liang
2008 — conf
Consistency and Fuzziness in Ordered Decision Tables.
RSKT
Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang
2008 J jnl
Consistency measure, inclusion degree and fuzzy measure in decision tables.
Fuzzy Sets Syst.
Yuhua Qian, Jiye Liang, Chuangyin Dang
2008 J jnl
Converse approximation and rule extraction from decision tables in rough set theory.
Comput. Math. Appl.
Yuhua Qian, Jiye Liang, Chuangyin Dang
2008 Misc conf
Granulation Operators on a Knowledge Base.
GrC
Yuhua Qian, Jiye Liang, Wei Wei
2008 J jnl
Information granules and entropy theory in information systems.
Sci. China Ser. F Inf. Sci.
Jiye Liang, Yuhua Qian
2008 J jnl
Interval ordered information systems.
Comput. Math. Appl.
Yuhua Qian, Jiye Liang, Chuangyin Dang
2008 J jnl
Measures for evaluating the decision performance of a decision table in rough set theory.
Inf. Sci.
Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chuangyin Dang
2008 J jnl
On the evaluation of the decision performance of an incomplete decision table.
Data Knowl. Eng.
Yuhua Qian, Chuangyin Dang, Jiye Liang, Haiyun Zhang, Jianmin Ma
2008 J jnl
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets
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
2008 J jnl
Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang
2007 — conf
Evaluation Method for Decision Rule Sets.
RSFDGrC
Yuhua Qian, Jiye Liang
2007 Misc conf
MGRS in Incomplete Information Systems.
GrC
Yuhua Qian, Jiye Liang, Chuangyin Dang
2007 J jnl
Study of decision implications based on formal concept analysis.
Int. J. Gen. Syst.
Kaishe Qu, Yanhui Zhai, Jiye Liang, Min Chen
2006 — conf
A Measure Method for Indiscernibility in Imperfect Information System.
JCIS
Jiye Liang, Jifang Pang
2006 — conf
Axiomatic Approach of Knowledge Granulation in Information System.
Australian Conference on Artificial Intelligence
Jiye Liang, Yuhua Qian
2006 — conf
Combination Entropy and Combination Granulation in Incomplete Information System.
RSKT
Yuhua Qian, Jiye Liang
2006 J jnl
Information entropy, rough entropy and knowledge granulation in incomplete information systems.
Int. J. Gen. Syst.
Jiye Liang, Z. Shi, Deyu Li, Mark J. Wierman
2005 — conf
Rough Set Approximation Based on Dynamic Granulation.
RSFDGrC (1)
Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Junhong Wang
2004 J jnl
The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Jiye Liang, Zhongzhi Shi
2003 — conf
Rough Set Data Analysis Algorithms for Incomplete Information Systems.
RSFDGrC
K. S. Chin, Jiye Liang, Chuangyin Dang
2002 J jnl
A new method for measuring uncertainty and fuzziness in rough set theory.
Int. J. Gen. Syst.
Jiye Liang, Kwai-Sang Chin, Chuangyin Dang, Richard C. M. Yam
2002 J jnl
Inclusion degree: a perspective on measures for rough set data analysis.
Inf. Sci.
Zongben Xu, Jiye Liang, Chuangyin Dang, Kwai-Sang Chin
2002 J jnl
The Algorithm on Knowledge Reduction in Incomplete Information Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Jiye Liang, Zongben Xu