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Viewing Publication 1 - 100 from 263

2025

Image dehazing via self-supervised depth guidanceYudong Liang, Shaoji Li, De Cheng, Wenjian Wang, Deyu Li, Jiye Liang. PR, 158:111051, 2025. [doi]

2024

Heterogeneous-Graph Reasoning With Context Paraphrase for Commonsense Question AnsweringYujie Wang 0003, Hu Zhang 0003, Jiye Liang, Ru Li 0001. taslp, 32:3759-3770, 2024. [doi]

An incremental feature selection approach for dynamic feature variationFeng Wang 0038, Xinhao Wang, Wei Wei, Jiye Liang. ijon, 570:127138, February 2024. [doi]

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over EdgesJie Wang 0046, Jianqing Liang, Jiye Liang, Kaixuan Yao. tnn, 35(4):4465-4477, April 2024. [doi]

Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable SetsFuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang. tkde, 36(12):7725-7742, December 2024. [doi]

Efficient Classification by Removing Bayesian Confusing SamplesFuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang. tkde, 36(3):1084-1098, March 2024. [doi]

Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWIZhicheng Dong, Xiaodong Yue, Yufei Chen 0002, Xujing Zhou, Jiye Liang. miccai 2024: 739-748 [doi]

Graph Regulation Network for Point Cloud SegmentationZijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao. pami, 46(12):7940-7955, December 2024. [doi]

FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question AnsweringYue Fan, Hu Zhang 0003, Ru Li 0001, Yujie Wang 0003, Hongye Tan, Jiye Liang. acl 2014: 9111-9128 [doi]

Advances of Pipeline Model Parallelism for Deep Learning Training: An OverviewLei Guan, Dong-sheng Li, Jiye Liang, Wen-jian Wang, Ke-shi Ge, Xicheng Lu. jcst, 39(3):567-584, May 2024. [doi]

Progressive Skeleton Learning for Effective Local-to-Global Causal Structure LearningXianjie Guo, Kui Yu, Lin Liu 0003, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu 0001. tkde, 36(12):9065-9079, December 2024. [doi]

InstructEd: Soft-Instruction Tuning for Model Editing with HopsXiaoqi Han, Ru Li 0001, Xiaoli Li 0001, Jiye Liang, Zifang Zhang, Jeff Z. Pan. acl 2014: 14953-14968 [doi]

Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selectionZhangjian Ji, Kai-Feng, Yuhua Qian, Jiye Liang. isci, 658:120013, February 2024. [doi]

Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph CompletionYuling Li, Kui Yu, Yuhong Zhang 0002, Jiye Liang, Xindong Wu 0001. tnn, 35(11):15237-15250, November 2024. [doi]

Debiased graph contrastive learning based on positive and unlabeled learningZhiqiang Li, Jie Wang, Jiye Liang. mlc, 15(6):2527-2538, June 2024. [doi]

Graph External Attention Enhanced TransformerJianqing Liang, Min Chen, Jiye Liang. icml 2024: [doi]

Deep multi-view graph clustering network with weighting mechanism and collaborative trainingJing Liu, Fuyuan Cao, Xuechun Jing, Jiye Liang. eswa, 236:121298, February 2024. [doi]

Improving Generalization in Offline Reinforcement Learning via Adversarial Data SplittingDa Wang, Lin Li, Wei Wei 0018, Qixian Yu, Jianye Hao, Jiye Liang. icml 2024: [doi]

Discovering causally invariant features for out-of-distribution generalizationYujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang. PR, 150:110338, 2024. [doi]

Re-attentive experience replay in off-policy reinforcement learningWei Wei, Da Wang, Lin Li, Jiye Liang. ml, 113(5):2327-2349, May 2024. [doi]

Black-Box Adversarial Attack on Graph Neural Networks With Node Voting MechanismLiangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang 0005. tkde, 36(10):5025-5038, October 2024. [doi]

Learning Causal Chain Graph Structure via Alternate Learning and Double PruningShujing Yang, Fuyuan Cao, Kui Yu, Jiye Liang. tbd, 10(4):442-456, August 2024. [doi]

Robust graph neural networks with Dirichlet regularization and residual connectionKaixuan Yao, Zijin Du, Ming Li 0065, Feilong Cao, Jiye Liang. mlc, 15(9):3733-3743, September 2024. [doi]

Resilient dynamic output feedback control for leader-following consensus of high-order uncertain multi-agent systems under sensor-actuator attacksXiu You, Jiye Liang, Changchun Hua, Kuo Li. jfi, 361(3):1227-1237, 2024. [doi]

A zero-shot learning boosting framework via concept-constrained clusteringQin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang. PR, 145:109937, January 2024. [doi]

Hyperspherical Multi-Prototype with Optimal Transport for Event Argument ExtractionGuangjun Zhang, Hu Zhang 0003, Yujie Wang 0003, Ru Li 0001, Hongye Tan, Jiye Liang. acl 2024: 9271-9284 [doi]

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR NetworksHaijun Zhang, Xian Yang 0001, Liang Bai, Jiye Liang. tkde, 36(7):3024-3035, July 2024. [doi]

Controlling estimation error in reinforcement learning via Reinforced OperationYujia Zhang, Lin Li, Wei Wei 0018, Xiu You, Jiye Liang. isci, 675:120736, 2024. [doi]

A unified framework to control estimation error in reinforcement learningYujia Zhang, Lin Li, Wei Wei 0018, Yunpeng Lv, Jiye Liang. NN, 178:106483, 2024. [doi]

AGR: Reinforced Causal Agent-Guided Self-explaining RationalizationYunxiao Zhao, Zhiqiang Wang 0005, Xiaoli Li 0001, Jiye Liang, Ru Li 0001. acl 2024: 510-518 [doi]

Multi-view clustering via dynamic unified bipartite graph learningXingwang Zhao, Shujun Wang, Xiaolin Liu, Jiye Liang. PR, 156:110715, 2024. [doi]

2023

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering ResultsWei Wei 0018, Qin Yue, Kai-Feng, Junbiao Cui, Jiye Liang. tkde, 35(3):3211-3223, March 2023. [doi]

Self-Constrained Spectral ClusteringLiang Bai, Jiye Liang, Yunxiao Zhao. pami, 45(4):5126-5138, April 2023. [doi]

Spectral clustering with robust self-learning constraintsLiang Bai, Minxue Qi, Jiye Liang. ai, 320:103924, July 2023. [doi]

Evaluating Classification Model Against Bayes Error RateQingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang. pami, 45(8):9639-9653, August 2023. [doi]

A General Representation Learning Framework with Generalization Performance GuaranteesJunbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. icml 2023: 6522-6544 [doi]

A new contrastive learning framework for reducing the effect of hard negativesWentao Cui, Liang Bai, Xian Yang 0001, Jiye Liang. kbs, 260:110121, 2023. [doi]

Hybrid sampling-based contrastive learning for imbalanced node classificationCaixia Cui, Jie Wang 0046, Wei Wei 0018, Jiye Liang. mlc, 14(3):989-1001, March 2023. [doi]

Swap-Reconstruction Autoencoder for Compositional Zero-Shot LearningTing Guo, Jiye Liang, Guo-Sen Xie. icmcs 2023: 438-443 [doi]

Group-wise interactive region learning for zero-shot recognitionTing Guo, Jiye Liang, Guo-Sen Xie. isci, 642:119135, 2023. [doi]

Multiple metric learning via local metric fusionXinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei 0018. isci, 621:341-353, April 2023. [doi]

Exploring the role of edge distribution in graph convolutional networksLiancheng He, Liang Bai, Xian Yang 0001, Zhuomin Liang, Jiye Liang. NN, 168:459-470, November 2023. [doi]

High-order graph attention networkLiancheng He, Liang Bai, Xian Yang 0001, Hangyuan Du, Jiye Liang. isci, 630:222-234, June 2023. [doi]

Towards Privacy-Aware Causal Structure Learning in Federated SettingJianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang. tbd, 9(6):1525-1535, December 2023. [doi]

Multi-actor mechanism for actor-critic reinforcement learningLin Li, Yuze Li, Wei Wei 0018, Yujia Zhang, Jiye Liang. isci, 647:119494, November 2023. [doi]

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang. icml 2023: 19960-19981 [doi]

Long and Short-Range Dependency Graph Structure Learning Framework on Point CloudJiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao. pami, 45(12):14975-14989, December 2023. [doi]

Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu 0001, Witold Pedrycz. isci, 619:1, 2023. [doi]

Graph Neural Networks with Interlayer Feature Representation for Image Super-ResolutionShenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang. wsdm 2023: 652-660 [doi]

Generalization Performance of Pure Accuracy and its Application in Selective Ensemble LearningJieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang. pami, 45(2):1798-1816, 2023. [doi]

Local Causal Discovery in Multiple Manipulated DatasetsYunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang. tnn, 34(10):7235-7247, October 2023. [doi]

A trilevel analysis of uncertainty measuresin partition-based granular computingBaoli Wang, Jiye Liang, Yiyu Yao. air, 56(1):533-575, 2023. [doi]

Coupling learning for feature selection in categorical dataFeng Wang, Jiye Liang, Peng Song. mlc, 14(7):2455-2465, July 2023. [doi]

Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question AnsweringYujie Wang, Hu Zhang, Jiye Liang, Ru Li. acl 2023: 14048-14063 [doi]

Set-membership Belief State-based Reinforcement Learning for POMDPsWei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang. icml 2023: 36856-36867 [doi]

Random Deep Graph MatchingYu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang. tkde, 35(10):10411-10422, October 2023. [doi]

A bi-level metric learning framework via self-paced learning weightingJing Yan, Wei Wei 0018, Xinyao Guo, Chuangyin Dang, Jiye Liang. PR, 139:109446, July 2023. [doi]

2022

Accelerating ReliefF using information granulationWei Wei 0018, Da Wang, Jiye Liang. mlc, 13(1):29-38, 2022. [doi]

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median OperationWei Wei 0018, Yujia Zhang, Jiye Liang, Lin Li, Yyuze Li. AAAI 2022: 8621-8628 [doi]

A categorical data clustering framework on graph representationLiang Bai, Jiye Liang. PR, 128:108694, 2022. [doi]

Self-supervised spectral clustering with exemplar constraintsLiang Bai, Yunxiao Zhao, Jiye Liang. PR, 132:108975, 2022. [doi]

Instance Selection: A Bayesian Decision Theory PerspectiveQingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang. AAAI 2022: 6287-6294 [doi]

Fuzzy Learning MachineJunbiao Cui, Jiye Liang. nips 2022: [doi]

An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraintsXiaofang Gao, Jiye Liang, Wenjian Wang, Xuefei Bai, Lina Jia. mlc, 13(5):1317-1336, 2022. [doi]

Cross-modal propagation network for generalized zero-shot learningTing Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie. prl, 159:125-131, 2022. [doi]

Metric learning via perturbing hard-to-classify instancesXinyao Guo, Wei Wei 0018, Jianqing Liang, Chuangyin Dang, Jiye Liang. PR, 132:108928, 2022. [doi]

Multi-Scale Variational Graph AutoEncoder for Link PredictionZhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang. wsdm 2022: 334-342 [doi]

Clustering mixed type data: a space structure-based approachFeijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang. mlc, 13(9):2799-2812, 2022. [doi]

Hierarchical metric learning with intra-level and inter-level regularizationLin Li, Ting Li, Wei Wei 0018, Xinyao Guo, Jiye Liang. mlc, 13(12):4033-4042, 2022. [doi]

Incomplete multi-view clustering via local and global co-regularizationJiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang. chinaf, 65(5):1-16, 2022. [doi]

AF: An Association-Based Fusion Method for Multi-Modal ClassificationXinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang. pami, 44(12):9236-9254, 2022. [doi]

K-means clusteringJing Liu, Fuyuan Cao, Jiye Liang. isci, 609:876-896, 2022. [doi]

Semi-supervised partial multi-label classification via consistency learningAnhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang. PR, 131:108839, 2022. [doi]

Weak multi-label learning with missing labels via instance granular discriminationAnhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz. isci, 594:200-216, 2022. [doi]

Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown TargetsYunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang. AAAI 2022: 8584-8593 [doi]

A group incremental approach for feature selection on hybrid dataFeng Wang, Wei Wei 0018, Jiye Liang. soco, 26(8):3663-3677, 2022. [doi]

Graph convolutional autoencoders with co-learning of graph structure and node attributesJie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang. PR, 121:108215, 2022. [doi]

Active and Semi-Supervised Graph Neural Networks for Graph ClassificationYu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang. tbd, 8(4):920-932, 2022. [doi]

Multi-view graph convolutional networks with attention mechanismKaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li 0065, Feilong Cao. ai, 307:103708, 2022. [doi]

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node ClassificationQin Yue, Jiye Liang, Junbiao Cui, Liang Bai. kdd 2022: 2408-2417 [doi]

A Bayesian matrix factorization model for dynamic user embedding in recommender systemKaihan Zhang, Zhiqiang Wang, Jiye Liang, Xingwang Zhao. fcsc, 16(5):165346, 2022. [doi]

Hypergraphs: Concepts, Applications and AnalysisWenping Zheng, Meilin Liu, Jiye Liang. paap 2022: 1-6 [doi]

2021

Semi-Supervised Clustering With Constraints of Different Types From Multiple Information SourcesLiang Bai, Jiye Liang, Fuyuan Cao. pami, 43(9):3247-3258, 2021. [doi]

An outlier detection algorithm for categorical matrix-object dataFuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang. asc, 104:107182, 2021. [doi]

Metric learning with clustering-based constraintsXinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei 0018, Jiye Liang. mlc, 12(12):3597-3605, 2021. [doi]

Logic could be learned from imagesQian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang. mlc, 12(12):3397-3414, 2021. [doi]

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound PerspectiveGaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang. jmlr, 22, 2021. [doi]

Graph-based semi-supervised learning via improving the quality of the graph dynamicallyJiye Liang, Junbiao Cui, Jie Wang, Wei Wei 0018. ml, 110(6):1345-1388, 2021. [doi]

BIC-based node order learning for improving Bayesian network structure learningYali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian. fcsc, 15(6):156337, 2021. [doi]

Fuzzy rough discrimination and label weighting for multi-label feature selectionAnhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen. ijon, 465:128-140, 2021. [doi]

Semi-supervised learning with mixed-order graph convolutional networksJie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang. isci, 573:171-181, 2021. [doi]

Deep neural network compression through interpretability-based filter pruningKaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang. PR, 119:108056, 2021. [doi]

k-type clustering algorithm for matrix-object dataLiqin Yu, Fuyuan Cao, Xiao Zhi Gao, Jing Liu, Jiye Liang. isci, 542:40-57, 2021. [doi]

MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORAChao Zhang, Deyu Li, Jiye Liang, Baoli Wang. mlc, 12(5):1219-1241, 2021. [doi]

A community detection algorithm based on graph compression for large-scale social networksXingwang Zhao, Jiye Liang, Jie Wang. isci, 551:358-372, 2021. [doi]

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