1.       Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu Eds.), Proceedings of the 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. ISBN 978-1-7281-8316-9, 1453 pages.

2.       Enhong Chen, Grigoris Antoniou, Xindong Wu, Vipin Kumar (Eds.), Proceedings of the 11th IEEE International Conference on Knowledge Graph, ICKG 2020, Nanjing, China, 9-11 August 2020. ISBN-13: 978-1-7281-8156-1, 654 pages.


1.       Jeevithan Alagurajah, Xu Yuan, Xindong Wu,Scale Invariant Learning from Trapezoidal Data Streams,SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Brno, Czech Republic, March 30 - April 3, 2020, 505-508.

2.       Ege Beyazit, Yi He, Nian-Feng Tzeng and Xindong Wu, Online Learning to Accelerate Neural Network Inference with Traveling Classifiers, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), June 8-12, 2020, Santiago de Compostela,1016-1023.

3.       Ege Beyazıt, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu: Learning Interpretable Representations with Informative Entanglements. IJCAI 2020: 1970-1976

4.       Song Deng, Xiang-peng Xie, Chang-an Yuan, Lechan Yang, Xindong Wu, Numerical Sensitive Data Recognition based on Hybrid Gene Expression Programming for Active Distribution Networks, Applied Soft Computing, 91(2020), Article 106213, 14 pages.

5.       Bingbing Dong, Yi Zhu, Lei Li, and Xindong Wu, Hybrid Collaborative Recommendation via Dual-Autoencoder, IEEE Access, 8(2020), 1: 46030-46040.

6.       Xiaoyi Fu, Xu Jiang, Yunfei Qi, Meng Xu, Yuhang Song, Jie Zhang, Xindong Wu: An Event-Centric Prediction System for COVID-19. ICKG 2020: 195-202 

7.       Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu: A Speech-to-Knowledge-Graph Construction System. IJCAI 2020: 5303-5305

8.       Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li: Learning Meta Face Recognition in Unseen Domains. CVPR 2020: 6162-6171

9.       Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu,Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs,  Proceedings of the 2020 SIAM International Conference on Data Mining (SDM 2020), Cincinnati, Ohio, USA, 334-342.

10.    Yi He, Baijun Wu, Di Wu and Xindong Wu, On Partial Multi-Task Learning, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), June 8-12, 2020, Santiago de Compostela, 1174-1181.

11.    Yi He, Xu Yuan, Nian-Feng Tzeng, and Xindong Wu, Multi-Granular Active Learning with Networked Data: A Model-Free Approach, Proceedings of the 20th IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy, 1058-1063.

12.    Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu: A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization. IEEE ACCESS 8: 157800-157818 (2020)

13.    Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang, Weighted Partial Order Oriented Three-Way Decisions under Score-based Common Voting Rules, International Journal of Approximate Reasoning, Volume 123, August 2020, 41-54.

14.    Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu, REMIAN: Real-Time and Error-Tolerant Missing Value Imputation, ACM Trans. Knowl. Discov. Data, 14(2020), 6: 77:1-77:38.

15.    Md Monirul Islam, Zeyi Sun, Ruwen Qin, Wenqing Hu, Haoyi Xiong, Kaibo Xu. Flexible energy load identification in intelligent manufacturing for demand response using a neural network integrated particle swarm optimization. Journal of Mechanical Engineering Science vols 203-210: 1989-1996 (2020)

16.    Yu Li, Zeyi Sun, Kaibo Xu, Ruwen Qiu: A Two-Layer Routing Algorithm for Unmanned Aerial Vehicle in Transmission Line Inspection: ASEM International Annual Conference 2020

17.    Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu: Lexical Simplification with Pretrained Encoders. AAAI 2020: 8649-8656

18.    Yunxiao Qin, Weiguo Zhang, Zezheng Wang, Chenxu Zhao, Jinping Shi. Layer-Wise Adaptive Updating for Few-Shot Image Classification. IEEE Signal Process Letter 27: 2044-2048 (2020)

19.    Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Xiangyu Zhu, Guojun Qi, Jingping Shi, Zhen Lei: Prior-Knowledge and Attention-based Meta-learning for Few-Shot Learning. Knowledge-Based Systems 213: 106609-106620 (2020)

20.    Tao Sun, Hongbo Liu, Sean McLoone, Shaoxiong Ji, Xindong Wu, Time Series Indexing By Dynamic Covering with Cross-Range Constraints, The VLDB Journal, 29(2020), 6: 1365-1384.

21.    Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu: Towards efficient and effective discovery of Markov blankets for feature selection. Information Sciences 509: 227-242 (2020)

22.    Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei: Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing. CVPR 2020: 5041-5050

23.    Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu, Knowledge Graph for China's Genealogy, Proceedings of the 11th IEEE International Conference on Knowledge Graph (ICKG-2020), August 9-11, 2020, Nanjing, China, 529-535. (This paper won the Best Paper Award of the conference.)

24.    Xindong Wu, Shaojing Sheng, Peng Zhou, Balanced Tree Partitioning with Succinct Logic, Proceedings of the 11th IEEE International Conference on Knowledge Graph (ICKG-2020), August 9-11, 2020, Nanjing, China, 552-559.

25.    Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun: Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases: Applied Intelligence 51: 377-395 (2021)

26.    Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu, Causality-based Feature Selection: Methods and Evaluations, ACM Computing Surveys, 53(2020), 5: 111:1-111:36.

27.    Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao: Searching Central Difference Convolutional Networks for Face Anti-Spoofing. CVPR 2020: 5294-5304

28. 吴信东, 盛绍静, 蒋婷婷, 卜晨阳, 吴明辉. 从知识图谱到数据中台: 华谱系统. 自动化学报, 46(10), 2045-2059, 2020.


1.     吴信东,董丙冰,堵新政,杨威,数据治理技术,软件学报, 201909期,2830-2856.

2.     Jing Zhang and Xindong Wu, Multi-Label Truth Inference for Crowdsourcing Using Mixture Models, IEEE Transactions on Knowledge and Data Engineering, accepted, to appear.

3.     Huiting Liu, Lili Wang, Peng Zhao, and Xindong Wu, Document Specific Supervised Keyphrase Extraction with Strong Semantic Relations, IEEE Access, accepted, to appear.

4.     Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu, Detecting and Assessing Anomalous Evotionary Behaviors of Nodes in Evolving Social Networks, ACM Transactions on Knowledge Discovery from Data, accepted, to appear.

5.     Yi Zhu, Xindong Wu, Peipei LiYuhong ZhangXuegang Hu, Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154 (2019).

6.     Minghui Wu and Xindong Wu, On Big Wisdom, Knowledge and Information Systems, 8(2019), 1: 1-8.

7.     Shengwei JiChenyang BuLei Li, Xindong Wu, Local Graph Edge Partitioning with a Two-Stage Heuristic Method. ICDCS 2019, 228-237.

8.  Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu, Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks, Proceedings of ICDM 2019, 1138-1143.

9.  Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang, Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest, Proceedings of ICDM 2019, 1540-1545.

10.  Di Wu, Yi He, Xin Luo, Mingsheng Shang, and Xindong Wu, Online Feature Selection with Capricious Streaming Features:A General Framework, Proceedings of the IEEE International Conference on Big Data, 2019.

11.  Tingting Jiang, Chenyang Bu, Yi Zhu and Xindong Wu, Two-stage Entity Alignment: Combing Hybrid Knowledge Graph Embedding with Similarity-based Relation Alignment, PRICAI 2019, August 26-30, 2019, Yanuca Island, Cuvu, Fiji.

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