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ORCIDXindong Wu 0001
Person information
- affiliation: Hefei University of Technology, School of Computer Science and Information Engineering, China
- affiliation: Florida Atlantic University, Boca Raton, FL, USA
- affiliation: Mininglamp Academy of Sciences, Beijing, China
- affiliation (former): University of Louisiana at Lafayette, LA, USA
- affiliation (former): University of Vermont, Department of Computer Science, Burlington, VT, USA
- affiliation (former): Colorado School of Mines, Department of Mathematiks and Computer Science, Golden, CO, USA
- affiliation (former): Monash University, Department of Software Development, Melbourne, VIC, Australia
- affiliation (former, PhD 1993): University of Edinburgh, UK
Other persons with the same name
- Xindong Wu 0002 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Xindong Wu 0003
![[0000-0002-2959-9139]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2959-9139")
— North University of China, School of Instruments and Electronics, Taiyuan, China
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2020 – today
- 2023
[j347]Jipeng Qiang, Shiyu Zhu, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu:
Natural language watermarking via paraphraser-based lexical substitution. Artif. Intell. 317: 103859 (2023)- [j346]Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. 213(Part): 118926 (2023) - [j345]Xin Zhang, Chunxia Zhang, Jingtao Guo, Cheng Peng, Zhendong Niu, Xindong Wu:
Graph attention network with dynamic representation of relations for knowledge graph completion. Expert Syst. Appl. 219: 119616 (2023) - [j344]Jipeng Qiang, Feng Zhang, Yun Li, Yunhao Yuan, Yi Zhu, Xindong Wu:
Unsupervised statistical text simplification using pre-trained language modeling for initialization. Frontiers Comput. Sci. 17(1): 171303 (2023) - [j343]Xiaojian Liu, Yi Zhu, Xindong Wu:
Joint user profiling with hierarchical attention networks. Frontiers Comput. Sci. 17(3): 173608 (2023) - [j342]Yi Zhu, Xindong Wu, Jipeng Qiang, Yunhao Yuan, Yun Li:
Representation learning via an integrated autoencoder for unsupervised domain adaptation. Frontiers Comput. Sci. 17(5): 175334 (2023) - [j341]Dianlong You, Shina Niu, Siqi Dong, Huigui Yan, Zhen Chen, Di Wu, Limin Shen, Xindong Wu:
Counterfactual explanation generation with minimal feature boundary. Inf. Sci. 625: 342-366 (2023) - [j340]Dianlong You, Siqi Dong, Shina Niu, Huigui Yan, Zhen Chen, Shunfu Jin, Di Wu, Xindong Wu:
Local causal structure learning for streaming features. Inf. Sci. 647: 119502 (2023) - [j339]Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. 266: 110438 (2023) - [j338]Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. 272: 110579 (2023) - [j337]Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu:
Are Graph Convolutional Networks With Random Weights Feasible? IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2751-2768 (2023) - [j336]Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu:
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognit. 144: 109874 (2023) - [j335]Yi Zhu, Xindong Wu, Yun Li, Jipeng Qiang, Yunhao Yuan:
Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder. IEEE Trans. Artif. Intell. 4(5): 1293-1304 (2023) - [j334]Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu:
Causal Feature Selection With Efficient Spouses Discovery. IEEE Trans. Big Data 9(2): 555-568 (2023) - [j333]Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu:
OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series. IEEE Trans. Cybern. 53(5): 3288-3300 (2023) - [j332]Gongqing Wu, Zhenya Lu, Xingrui Zhuo, Xianyu Bao, Xindong Wu:
Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 931-941 (2023) - [j331]Song Deng, Jiantang Zhang, Di Wu, Yi He, Xiangpeng Xie, Xindong Wu:
A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack. IEEE Trans. Ind. Informatics 19(3): 2899-2908 (2023) - [j330]Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu:
Integrating Global and Local Feature Selection for Multi-Label Learning. ACM Trans. Knowl. Discov. Data 17(1): 4:1-4:37 (2023) - [j329]Lei Li, Mengjiao Yan, Zhenchao Tao, Huanhuan Chen, Xindong Wu:
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location. ACM Trans. Knowl. Discov. Data 17(1): 6:1-6:26 (2023) - [j328]Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu:
ONP-Miner: One-off Negative Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 17(3): 37:1-37:24 (2023) - [j327]Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward:
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks. ACM Trans. Knowl. Discov. Data 17(3): 43:1-43:21 (2023) - [j326]Gongqing Wu, Liangzhu Zhou, Jiazhu Xia, Lei Li, Xianyu Bao, Xindong Wu:
Crowdsourcing Truth Inference Based on Label Confidence Clustering. ACM Trans. Knowl. Discov. Data 17(4): 46:1-46:20 (2023) - [j325]Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu:
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data 17(5): 65:1-65:26 (2023) - [j324]Lei Li, Zhiyuan Liu, Zan Zhang, Huanhuan Chen, Xindong Wu:
Three-way Preference Completion via Preference Graph. ACM Trans. Knowl. Discov. Data 17(6): 89:1-89:19 (2023) - [j323]Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu:
Knowledge Graph for China's Genealogy11.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org). IEEE Trans. Knowl. Data Eng. 35(1): 634-646 (2023) - [j322]Dianlong You, Yang Wang, Jiawei Xiao, Yaojin Lin, Maosheng Pan, Zhen Chen, Limin Shen, Xindong Wu:
Online Multi-Label Streaming Feature Selection With Label Correlation. IEEE Trans. Knowl. Data Eng. 35(3): 2901-2915 (2023) - [j321]Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu:
Multi-Level Attention Map Network for Multimodal Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(5): 5105-5118 (2023) - [j320]Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu:
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35(6): 5964-5976 (2023) - [j319]Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu:
A Light Causal Feature Selection Approach to High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35(8): 7639-7650 (2023) - [j318]Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu:
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8085-8099 (2023) - [j317]Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu, Xindong Wu:
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining. IEEE Trans. Knowl. Data Eng. 35(9): 9531-9546 (2023) - [j316]Dianlong You, Jiawei Xiao, Yang Wang, Huigui Yan, Di Wu, Zhen Chen, Limin Shen, Xindong Wu:
Online Learning From Incomplete and Imbalanced Data Streams. IEEE Trans. Knowl. Data Eng. 35(10): 10650-10665 (2023) - [j315]Dianlong You, Ruiqi Li, Shunpan Liang, Miaomiao Sun, Xinju Ou, Fuyong Yuan, Limin Shen, Xindong Wu:
Online Causal Feature Selection for Streaming Features. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1563-1577 (2023) - [c222]Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu:
User Interaction-Aware Knowledge Graphs for Recommender Systems. DEXA (2) 2023: 18-32 - [c221]Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu:
Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment. DMSVIVA 2023: 24-31 - [c220]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. ICDE 2023: 3841-3842 - [c219]Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu:
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. IJCAI 2023: 6647-6655 - [c218]Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu:
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN 2023: 1-8 - [i36]Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu, Xindong Wu:
Maximal co-occurrence nonoverlapping sequential rule mining. CoRR abs/2301.12630 (2023) - [i35]Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu:
A Comprehensive Survey on Automatic Knowledge Graph Construction. CoRR abs/2302.05019 (2023) - [i34]Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu:
Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023) - [i33]Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu:
Fair Causal Feature Selection. CoRR abs/2306.10336 (2023) - [i32]Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu:
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. CoRR abs/2306.11489 (2023) - [i31]Ahmed Abdeen Hamed, Xindong Wu:
Improving Detection of ChatGPT-Generated Fake Science Using Real Publication Text: Introducing xFakeBibs a Supervised-Learning Network Algorithm. CoRR abs/2308.11767 (2023) - 2022
- [j314]Yuehua Wang, Youxi Wu, Yan Li, Fang Yao, Philippe Fournier-Viger, Xindong Wu:
Self-adaptive nonoverlapping sequential pattern mining. Appl. Intell. 52(6): 6646-6661 (2022) - [j313]Yan Li, Shuai Zhang, Lei Guo, Jing Liu, Youxi Wu, Xindong Wu:
NetNMSP: Nonoverlapping maximal sequential pattern mining. Appl. Intell. 52(9): 9861-9884 (2022) - [j312]Yan Li, Lei Yu, Jing Liu, Lei Guo, Youxi Wu, Xindong Wu:
NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition. Appl. Intell. 52(11): 12155-12174 (2022) - [j311]Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu:
A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. 125: 109160 (2022) - [j310]Xiulin Zheng, Pei-Pei Li, Xindong Wu:
Data Stream Classification Based on Extreme Learning Machine: A Review. Big Data Res. 30: 100356 (2022) - [j309]Lei Li, Minghe Xue, Zan Zhang, Huanhuan Chen, Xindong Wu:
Certainty-based Preference Completion. Data Intell. 4(1): 112-133 (2022) - [j308]Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu:
General assembly framework for online streaming feature selection via Rough Set models. Expert Syst. Appl. 204: 117520 (2022) - [j307]Youxi Wu, Bojing Jian, Yan Li, He Jiang, Xindong Wu:
NetNDP: Nonoverlapping (delta, gamma)-approximate pattern matching. Intell. Data Anal. 26(6): 1661-1682 (2022) - [j306]Youxi Wu, Zhu Yuan, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu:
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining. Inf. Sci. 588: 124-141 (2022) - [j305]Dianlong You, Miaomiao Sun, Shunpan Liang, Ruiqi Li, Yang Wang, Jiawei Xiao, Fuyong Yuan, Limin Shen, Xindong Wu:
Online feature selection for multi-source streaming features. Inf. Sci. 590: 267-295 (2022) - [j304]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu:
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10129-10144 (2022) - [j303]Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu:
Combining embedding-based and symbol-based methods for entity alignment. Pattern Recognit. 124: 108433 (2022) - [j302]Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129: 108742 (2022) - [j301]He Li, Jianbin Huang, Hang Yuan, Jiangtao Cui, Xiaoke Ma, Shaojie Qiao, Xindong Wu:
A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning. IEEE Trans. Big Data 8(6): 1580-1591 (2022) - [j300]Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. IEEE Trans. Big Data 8(6): 1592-1609 (2022) - [j299]Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu:
Dual-Representation-Based Autoencoder for Domain Adaptation. IEEE Trans. Cybern. 52(8): 7464-7477 (2022) - [j298]Youxi Wu, Yuehua Wang, Yan Li, Xingquan Zhu, Xindong Wu:
Top-k Self-Adaptive Contrast Sequential Pattern Mining. IEEE Trans. Cybern. 52(11): 11819-11833 (2022) - [j297]Lei Li, Ping Ding, Huanhuan Chen, Xindong Wu:
Frequent Pattern Mining in Big Social Graphs. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 638-648 (2022) - [j296]Lei Li, Lan Jiang, Chenyang Bu, Yi Zhu, Xindong Wu:
Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1057-1067 (2022) - [j295]Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu:
Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Fuzzy Syst. 30(12): 5297-5311 (2022) - [j294]Song Deng, Qingyuan Cai, Zi Zhang, Xindong Wu:
User Behavior Analysis Based on Stacked Autoencoder and Clustering in Complex Power Grid Environment. IEEE Trans. Intell. Transp. Syst. 23(12): 25521-25535 (2022) - [j293]Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu:
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. ACM Trans. Knowl. Discov. Data 16(1): 5:1-5:24 (2022) - [j292]Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 16(3): 51:1-51:21 (2022) - [j291]Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu:
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation. ACM Trans. Knowl. Discov. Data 16(3): 54:1-54:27 (2022) - [j290]Peng Zhou, Shu Zhao, Yuan-Ting Yan, Xindong Wu:
Online Scalable Streaming Feature Selection via Dynamic Decision. ACM Trans. Knowl. Discov. Data 16(5): 87:1-87:20 (2022) - [j289]Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu:
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16(5): 93:1-93:25 (2022) - [j288]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu:
HW-Forest: Deep Forest with Hashing Screening and Window Screening. ACM Trans. Knowl. Discov. Data 16(6): 123:1-123:24 (2022) - [j287]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Knowl. Data Eng. 34(1): 271-285 (2022) - [j286]Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu:
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. IEEE Trans. Knowl. Data Eng. 34(3): 1427-1445 (2022) - [j285]Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2525-2538 (2022) - [j284]Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu:
A Survey on Large-Scale Machine Learning. IEEE Trans. Knowl. Data Eng. 34(6): 2574-2594 (2022) - [j283]Xindong Wu, Xingquan Zhu, Minghui Wu:
The Evolution of Search: Three Computing Paradigms. ACM Trans. Manag. Inf. Syst. 13(2): 20:1-20:20 (2022) - [j282]Youxi Wu, Xiaohui Wang, Yan Li, Lei Guo, Zhao Li, Ji Zhang, Xindong Wu:
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining. ACM Trans. Manag. Inf. Syst. 13(3): 25:1-25:23 (2022) - [c217]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. ICKG 2022: 329-336 - [c216]Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu:
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. ICDM 2022: 11-20 - [c215]Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu:
Hypernode: Entity Fusion for Data Traceability and Link Prediction. ICDM 2022: 111-120 - [e39]Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5101-7 [contents] - [e38]Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 978-1-6654-5099-7 [contents] - [i30]Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu:
OPP-Miner: Order-preserving sequential pattern mining. CoRR abs/2202.03140 (2022) - [i29]Yi Zhu, Xinke Zhou, Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu:
Prompt-Learning for Short Text Classification. CoRR abs/2202.11345 (2022) - [i28]Yuling Li, Kui Yu, Yuhong Zhang, Xindong Wu:
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion. CoRR abs/2203.11639 (2022) - [i27]Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yunhao Yuan, Yi Zhu, Xindong Wu:
Chinese Idiom Paraphrasing. CoRR abs/2204.07555 (2022) - [i26]Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu, Xindong Wu:
Embedding Knowledge for Document Summarization: A Survey. CoRR abs/2204.11190 (2022) - [i25]Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu:
One-off Negative Sequential Pattern Mining. CoRR abs/2207.11950 (2022) - [i24]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu:
Deep Forest with Hashing Screening and Window Screening. CoRR abs/2207.11951 (2022) - [i23]Youxi Wu, Bojing Jian, Yan Li, He Jiang, Xindong Wu:
Nonoverlapping (delta, gamma)-approximate pattern matching. CoRR abs/2209.02949 (2022) - [i22]Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
OPR-Miner: Order-preserving rule mining for time series. CoRR abs/2209.08932 (2022) - [i21]Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu:
Block-Structured Optimization for Subgraph Detection in Interdependent Networks. CoRR abs/2210.02702 (2022) - 2021
- [j281]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53(5): 111:1-111:36 (2021) - [j280]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Knowledge graph enhanced neural collaborative recommendation. Expert Syst. Appl. 164: 113992 (2021) - [j279]Youxi Wu, Rong Lei, Yan Li, Lei Guo, Xindong Wu:
HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining. Expert Syst. Appl. 184: 115449 (2021) - [j278]Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu:
Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. 186: 115752 (2021) - [j277]Yi Zhu, Xindong Wu, Jipeng Qiang, Yunhao Yuan, Yun Li:
Representation learning with collaborative autoencoder for personalized recommendation. Expert Syst. Appl. 186: 115825 (2021) - [j276]Jin He, Lei Li, Yan Wang, Xindong Wu:
Hierarchical features-based targeted aspect extraction from online reviews. Intell. Data Anal. 25(1): 205-223 (2021) - [j275]Na Liu, Fei Xie, Xindong Wu:
Suffix array for multi-pattern matching with variable length wildcards. Intell. Data Anal. 25(2): 283-303 (2021) - [j274]Bingbing Dong, Yi Zhu, Lei Li, Xindong Wu:
Hybrid collaborative recommendation of co-embedded item attributes and graph features. Neurocomputing 442: 307-316 (2021) - [j273]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network. Neurocomputing 454: 417-429 (2021) - [j272]Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu:
Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing 460: 385-398 (2021) - [j271]Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu:
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. 565: 370-389 (2021) - [j270]Jiaoling Zheng, Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Qiang He, Shengjie Min, Guanghua Ying, Xindong Wu:
Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data. Knowl. Based Syst. 228: 107260 (2021) - [j269]Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu:
A coarse-to-fine collective entity linking method for heterogeneous information networks. Knowl. Based Syst. 228: 107286 (2021) - [j268]Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowl. Based Syst. 229: 107361 (2021) - [j267]Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu:
FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1702-1716 (2021) - [j266]