- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu:
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. IJCNN 2023: 1-8 - 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] - 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] - 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) - Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu:
A Comprehensive Survey on Automatic Knowledge Graph Construction. CoRR abs/2302.05019 (2023)