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2020 – today
- 2025
[j212]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
- [j211]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) - [j210]Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang:
An incremental feature selection approach for dynamic feature variation. Neurocomputing 570: 127138 (2024) - [j209]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) - [j208]Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang:
Controlling estimation error in reinforcement learning via Reinforced Operation. Inf. Sci. 675: 120736 (2024) - [j207]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) - [j206]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) - [j205]Wei Wei, Da Wang, Lin Li, Jiye Liang:
Re-attentive experience replay in off-policy reinforcement learning. Mach. Learn. 113(5): 2327-2349 (2024) - [j204]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) - [j203]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) - [j202]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) - [j201]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) - [j200]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) - [j199]Yujie Wang, Kui Yu, Guodu Xiang, Fuyuan Cao, Jiye Liang:
Discovering causally invariant features for out-of-distribution generalization. Pattern Recognit. 150: 110338 (2024) - [j198]Xingwang Zhao, Shujun Wang, Xiaolin Liu, Jiye Liang:
Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognit. 156: 110715 (2024) - [j197]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) - [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]Fuyuan Cao, Yunxia Wang, Kui Yu, Jiye Liang:
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets. IEEE Trans. Knowl. Data Eng. 36(12): 7725-7742 (2024) - [j191]Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu:
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. IEEE Trans. Knowl. Data Eng. 36(12): 9065-9079 (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