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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://dblp.org/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
- 2025
[j394]Huigui Yan, Jiale Liu, Da Han, Dianlong You, Hongtao Wu, Zhen Chen, Xianshan Li, Shunfu Jin, Xindong Wu:
Online learning from incomplete data streams with partial labels for multi-classification. Inf. Sci. 689: 121411 (2025)- [j393]Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu:
Size-fixed group discovery via multi-constrained graph pattern matching. Inf. Sci. 690: 121571 (2025) - 2024
- [j392]Shaojing Sheng, Zan Zhang, Peng Zhou, Xindong Wu:
An effective algorithm for genealogical graph partitioning. Appl. Intell. 54(2): 1798-1817 (2024) - [j391]Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu:
A Chinese power text classification algorithm based on deep active learning. Appl. Soft Comput. 150: 111067 (2024) - [j390]Shengxing Bai, Chenyang Bu, Xindong Wu:
High-degree penalty based global statistical network embedding for name disambiguation in anonymized graph. Concurr. Comput. Pract. Exp. 36(20) (2024) - [j389]Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu:
A Comprehensive Survey on Automatic Knowledge Graph Construction. ACM Comput. Surv. 56(4): 94:1-94:62 (2024) - [j388]Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu:
Local causal structure learning with missing data. Expert Syst. Appl. 238(Part A): 121831 (2024) - [j387]Yi Zhu, Ye Wang, Jianyuan Mu, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu:
Short text classification with Soft Knowledgeable Prompt-tuning. Expert Syst. Appl. 246: 123248 (2024) - [j386]Yi Zhu, Yishuai Geng, Yun Li, Jipeng Qiang, Xindong Wu:
Representation learning: serial-autoencoder for personalized recommendation. Frontiers Comput. Sci. 18(4) (2024) - [j385]Dianlong You, Hongtao Wu, Jiale Liu, Huigui Yan, Chuan Ma, Zhen Chen, Xindong Wu:
Continuous causal structure learning from incremental instances and feature spaces. Inf. Fusion 101: 101975 (2024) - [j384]Peng Zhou, Ji Liang, Yuanting Yan, Shu Zhao, Xindong Wu:
Explainable feature selection and ensemble classification via feature polarity. Inf. Sci. 676: 120818 (2024) - [j383]Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu:
A cross-network node classification method in open-set scenario. Pattern Recognit. 155: 110718 (2024) - [j382]Shuai Yang, Tingting Jiang, Qianlong Dang, Lichuan Gu, Xindong Wu:
Stable Learning via Triplex Learning. IEEE Trans. Artif. Intell. 5(10): 5267-5276 (2024) - [j381]Peng Zhou, Yunyun Zhang, Zhaolong Ling, Yuanting Yan, Shu Zhao, Xindong Wu:
Online Heterogeneous Streaming Feature Selection Without Feature Type Information. IEEE Trans. Big Data 10(4): 470-485 (2024) - [j380]Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu:
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation. IEEE Trans. Big Data 10(6): 706-719 (2024) - [j379]Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu:
LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph. IEEE Trans. Emerg. Top. Comput. 12(2): 455-466 (2024) - [j378]Yi Zhu, Yishuai Geng, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu:
Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 968-980 (2024) - [j377]Lei Li, Pan Liu, Chenyang Bu, Zan Zhang, Xindong Wu:
Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2009-2021 (2024) - [j376]Qiong Xu, Fan Min, Shulin Pan, Xing-Yi Zhang, Guojie Song, Ke Wang, Xindong Wu:
ABA-FWI: Augmented Boundary Attention for Full Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j375]Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Xindong Wu:
FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario. IEEE Trans. Ind. Informatics 20(4): 5794-5804 (2024) - [j374]Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu:
Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. IEEE Trans. Image Process. 33: 2730-2745 (2024) - [j373]Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu:
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 15:1-15:22 (2024) - [j372]Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu:
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment. ACM Trans. Knowl. Discov. Data 18(4): 92:1-92:23 (2024) - [j371]Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu:
Fair Feature Selection: A Causal Perspective. ACM Trans. Knowl. Discov. Data 18(7): 163 (2024) - [j370]Munan Li, Kai Liu, Hongbo Liu, Zheng Zhao, Tomas E. Ward, Xindong Wu:
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation. ACM Trans. Knowl. Discov. Data 18(8): 197:1-197:25 (2024) - [j369]Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu:
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. ACM Trans. Knowl. Discov. Data 18(8): 202:1-202:23 (2024) - [j368]Peng Zhou, Yufeng Guo, Haoran Yu, Yuanting Yan, Yanping Zhang, Xindong Wu:
Concept Evolution Detecting over Feature Streams. ACM Trans. Knowl. Discov. Data 18(8): 209:1-209:32 (2024) - [j367]Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2372-2387 (2024) - [j366]Xingrui Zhuo, Gongqing Wu, Zan Zhang, Xindong Wu:
Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph. IEEE Trans. Knowl. Data Eng. 36(7): 3076-3090 (2024) - [j365]Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu:
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling. IEEE Trans. Knowl. Data Eng. 36(7): 3091-3110 (2024) - [j364]Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu:
Unifying Large Language Models and Knowledge Graphs: A Roadmap. IEEE Trans. Knowl. Data Eng. 36(7): 3580-3599 (2024) - [j363]Dianlong You, Huigui Yan, Jiawei Xiao, Zhen Chen, Di Wu, Limin Shen, Xindong Wu:
Online Learning for Data Streams With Incomplete Features and Labels. IEEE Trans. Knowl. Data Eng. 36(9): 4820-4834 (2024) - [j362]Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining. IEEE Trans. Knowl. Data Eng. 36(9): 4874-4889 (2024) - [j361]Yi Zhu, Ye Wang, Jipeng Qiang, Xindong Wu:
Prompt-Learning for Short Text Classification. IEEE Trans. Knowl. Data Eng. 36(10): 5328-5339 (2024) - [j360]Yi Zhu, Shuqin Wang, Jipeng Qiang, Xindong Wu:
Iterative Soft Prompt-Tuning for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 36(12): 8580-8592 (2024) - [j359]Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu:
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series. IEEE Trans. Knowl. Data Eng. 36(12): 8981-8995 (2024) - [j358]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) - [j357]Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu:
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series. ACM Trans. Manag. Inf. Syst. 15(2): 9 (2024) - [j356]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) - [c226]Chenyang Bu, Yunpeng Hong, Shiji Zang, Guojie Chang, Xindong Wu:
Automatic Fusion for Multimodal Entity Alignment: A New Perspective from Automatic Architecture Search. ICME 2024: 1-6 - [c225]Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu:
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. ICWS 2024: 1168-1176 - [i45]Lifan Jiang, Zhihui Wang, Changmiao Wang, Ming Li, Jiaxu Leng, Xindong Wu:
ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model. CoRR abs/2404.07773 (2024) - [i44]Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu:
Co-occurrence order-preserving pattern mining. CoRR abs/2404.19243 (2024) - [i43]Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Synergistic Deep Graph Clustering Network. CoRR abs/2406.15797 (2024) - [i42]Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu:
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. CoRR abs/2407.16115 (2024) - [i41]Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu:
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation. CoRR abs/2407.17234 (2024) - [i40]Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu:
Order-preserving pattern mining with forgetting mechanism. CoRR abs/2408.15563 (2024) - [i39]Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu:
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs. CoRR abs/2410.20321 (2024) - 2023
- [j355]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) - [j354]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. Data Intell. 5(3): 537-559 (2023) - [j353]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) - [j352]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) - [j351]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) - [j350]Xiaojian Liu, Yi Zhu, Xindong Wu:
Joint user profiling with hierarchical attention networks. Frontiers Comput. Sci. 17(3): 173608 (2023) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]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) - [j344]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) - [j343]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) - [j342]Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu:
Chinese Idiom Paraphrasing. Trans. Assoc. Comput. Linguistics 11: 740-754 (2023) - [j341]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) - [j340]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) - [j339]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Adversarial Heterogeneous Graph Neural Network for Robust Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2660-2671 (2023) - [j338]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) - [j337]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) - [j336]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) - [j335]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) - [j334]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) - [j333]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) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [j328]Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu:
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. ACM Trans. Knowl. Discov. Data 17(9): 134:1-134:28 (2023) - [j327]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) - [j326]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) - [j325]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) - [j324]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) - [j323]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) - [j322]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) - [j321]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) - [j320]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) - [j319]Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu:
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment. IEEE Trans. Knowl. Data Eng. 35(11): 11503-11514 (2023) - [j318]Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
OPR-Miner: Order-Preserving Rule Mining for Time Series. IEEE Trans. Knowl. Data Eng. 35(11): 11722-11735 (2023) - [j317]Gongqing Wu, Xingrui Zhuo, Liangzhu Zhou, Xianyu Bao, Richang Hong, Xindong Wu:
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph. IEEE Trans. Knowl. Data Eng. 35(11): 11967-11981 (2023) - [j316]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) - [j315]Peng Zhou, Ni Wang, Shu Zhao, Yanping Zhang, Xindong Wu:
Difficult Novel Class Detection in Semisupervised Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6872-6886 (2023) - [c224]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 - [c223]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 - [c222]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 - [c221]Fei Huang, Yi Deng, Chen Zhang, Menghao Guo, Kai Zhan, Shanxin Sun, Jinling Jiang, Zeyi Sun, Xindong Wu:
KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM Capabilities. ICDM (Workshops) 2023: 499-505 - [c220]Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu:
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. ICDM 2023: 908-917 - [c219]Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM 2023: 1577-1582 - [c218]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 - [c217]Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu:
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN 2023: 1-8 - [e41]Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 [contents] - [e40]Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0788-7 [contents] - [i38]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) - [i37]Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu:
A Comprehensive Survey on Automatic Knowledge Graph Construction. CoRR abs/2302.05019 (2023) - [i36]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) - [i35]Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu:
Fair Causal Feature Selection. CoRR abs/2306.10336 (2023) - [i34]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) - [i33]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) - [i32]Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
Top-k contrast order-preserving pattern mining for time series classification. CoRR abs/2310.02612 (2023) - [i31]Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
Repetitive nonoverlapping sequential pattern mining. CoRR abs/2311.09667 (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.