Jiye Liang

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 157

Top Venues

Inf. Sci.

Int. J. Mach. Learn. Cybern.

Pattern Recognit.

Knowl. Based Syst.

Publications

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 (2024)
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) (2024)
Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang
An incremental feature selection approach for dynamic feature variation. Neurocomputing 570 (2024)
Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang
Controlling estimation error in reinforcement learning via Reinforced Operation. Inf. Sci. 675 (2024)
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) (2024)
Zhiqiang Li, Jie Wang, Jiye Liang
Debiased graph contrastive learning based on positive and unlabeled learning. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang
A unified framework to control estimation error in reinforcement learning. Neural Networks 178 (2024)
Jing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang
Deep multi-view graph clustering network with weighting mechanism and collaborative training. Expert Syst. Appl. 236 (2024)
Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang
A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognit. 145 (2024)
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) (2024)
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 (2024)
Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang
Efficient Classification by Removing Bayesian Confusing Samples. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
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)
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) (2024)
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)
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) (2024)
Wei Wei, Da Wang, Lin Li, Jiye Liang
Re-attentive experience replay in off-policy reinforcement learning. Mach. Learn. 113 (5) (2024)
Jianqing Liang, Min Chen, Jiye Liang
Graph External Attention Enhanced Transformer. CoRR (2024)
Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150 (2024)
Xingwang Zhao, Shujun Wang, Xiaolin Liu, Jiye Liang
Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognit. 156 (2024)
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)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Local Causal Discovery in Multiple Manipulated Datasets. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
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)
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) (2023)
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) (2023)
Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang
Set-membership Belief State-based Reinforcement Learning for POMDPs. ICML (2023)
Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang
Multi-actor mechanism for actor-critic reinforcement learning. Inf. Sci. 647 (2023)
Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang
A bi-level metric learning framework via self-paced learning weighting. Pattern Recognit. 139 (2023)
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) (2023)
Liang Bai, Minxue Qi, Jiye Liang
Spectral clustering with robust self-learning constraints. Artif. Intell. 320 (2023)
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
Evaluating Classification Model Against Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
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 (2023)
Wentao Cui, Liang Bai, Xian Yang, Jiye Liang
A new contrastive learning framework for reducing the effect of hard negatives. Knowl. Based Syst. 260 (2023)
Lei Guan, Dongsheng Li, Jiye Liang, Wenjian Wang, Xicheng Lu
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction. CoRR (2023)
Baoli Wang, Jiye Liang, Yiyu Yao
A trilevel analysis of uncertainty measuresin partition-based granular computing. Artif. Intell. Rev. 56 (1) (2023)
Liang Bai, Jiye Liang, Yunxiao Zhao
Self-Constrained Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Feng Wang, Jiye Liang, Peng Song
Coupling learning for feature selection in categorical data. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM (2023)
Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang
Exploring the role of edge distribution in graph convolutional networks. Neural Networks 168 (2023)
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) (2023)
Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang
Random Deep Graph Matching. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Ting Guo, Jiye Liang, Guo-Sen Xie
Swap-Reconstruction Autoencoder for Compositional Zero-Shot Learning. ICME (2023)
Caixia Cui, Jie Wang, Wei Wei, Jiye Liang
Hybrid sampling-based contrastive learning for imbalanced node classification. Int. J. Mach. Learn. Cybern. 14 (3) (2023)
Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang
A General Representation Learning Framework with Generalization Performance Guarantees. ICML (2023)
Ting Guo, Jiye Liang, Guo-Sen Xie
Group-wise interactive region learning for zero-shot recognition. Inf. Sci. 642 (2023)
Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei
Multiple metric learning via local metric fusion. Inf. Sci. 621 (2023)
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML (2023)
Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang
High-order graph attention network. Inf. Sci. 630 (2023)
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) (2022)
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 (2022)
Liang Bai, Jiye Liang
A categorical data clustering framework on graph representation. Pattern Recognit. 128 (2022)
Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR (2022)
Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection. CoRR (2022)
Liang Bai, Yunxiao Zhao, Jiye Liang
Self-supervised spectral clustering with exemplar constraints. Pattern Recognit. 132 (2022)
Junbiao Cui, Jiye Liang
Fuzzy Learning Machine. NeurIPS (2022)
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) (2022)
Feng Wang, Wei Wei, Jiye Liang
A group incremental approach for feature selection on hybrid data. Soft Comput. 26 (8) (2022)
Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang
Semi-supervised partial multi-label classification via consistency learning. Pattern Recognit. 131 (2022)
Wenping Zheng, Meilin Liu, Jiye Liang
Hypergraphs: Concepts, Applications and Analysis. PAAP (2022)
Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang
Instance Selection: A Bayesian Decision Theory Perspective. AAAI (2022)
Wei Wei, Da Wang, Jiye Liang
Accelerating ReliefF using information granulation. Int. J. Mach. Learn. Cybern. 13 (1) (2022)
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) (2022)
Jing Liu, Fuyuan Cao, Jiye Liang
-means clustering. Inf. Sci. 609 (2022)
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) (2022)
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) (2022)
Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. KDD (2022)
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307 (2022)
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) (2022)
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
Multi-Scale Variational Graph AutoEncoder for Link Prediction. WSDM (2022)
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI (2022)
Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang
Metric learning via perturbing hard-to-classify instances. Pattern Recognit. 132 (2022)
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 (2022)
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) (2022)
Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie
Cross-modal propagation network for generalized zero-shot learning. Pattern Recognit. Lett. 159 (2022)
Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yyuze Li
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. AAAI (2022)
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) (2021)
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) (2021)
Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang
Semi-supervised learning with mixed-order graph convolutional networks. Inf. Sci. 573 (2021)
Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. 119 (2021)
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 (2021)
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) (2021)
Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang
Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. 12 (12) (2021)
Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang
An outlier detection algorithm for categorical matrix-object data. Appl. Soft Comput. 104 (2021)
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) (2021)
Xingwang Zhao, Jiye Liang, Jie Wang
A community detection algorithm based on graph compression for large-scale social networks. Inf. Sci. 551 (2021)
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) (2021)
Liqin Yu, Fuyuan Cao, Xiao-Zhi Gao, Jing Liu, Jiye Liang
-type clustering algorithm for matrix-object data. Inf. Sci. 542 (2021)
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 (2021)
Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. AAAI (2020)
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 (2020)
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)
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) (2020)
Feilong Cao, Kaixuan Yao, Jiye Liang
Deconvolutional neural network for image super-resolution. Neural Networks 132 (2020)
Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du
New label propagation algorithm with pairwise constraints. Pattern Recognit. 106 (2020)
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)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28 (5) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiye Liang