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Research Output 2010 2019

2019

CFOND: consensus factorization for co-clustering networked data

Guo, T., Pan, S., Zhu, X. & Zhang, C., 1 Apr 2019, In : IEEE Transactions on Knowledge and Data Engineering. 31, 4, p. 706-719 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Cost-sensitive parallel learning framework for insurance intelligence operation

Jiang, X., Pan, S., Long, G., Xiong, F., Jiang, J. & Zhang, C., 2019, (Accepted/In press) In : IEEE Transactions on Industrial Electronics. 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Identify topic relations in scientific literature using topic modeling

Chen, H., Wang, X., Pan, S. & Xiong, F., 9 Apr 2019, (Accepted/In press) In : IEEE Transactions on Engineering Management. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

IEEE access special section editorial: advanced data analytics for large-scale complex data environments

Wu, J., Pan, S., Jiang, J., Cai, Z., Du, B., Tian, Y., Wang, S. & Wang, H., 27 Mar 2019, In : IEEE Access. 7, p. 33778-33786 9 p., 8675699.

Research output: Contribution to journalEditorialOtherpeer-review

Open Access
File

Measuring distance-based semantic similarity using meronymy and hyponymy relations

Cai, Y., Pan, S., Wang, X., Chen, H., Cai, X. & Zuo, M., 2019, (Accepted/In press) In : Neural Computing and Applications. 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Social recommendation with evolutionary opinion dynamics

Xiong, F., Wang, X., Pan, S., Yang, H., Wang, H. & Zhang, C., 2019, (Accepted/In press) In : IEEE Transactions on Systems, Man, and Cybernetics: Systems. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Time series feature learning with labeled and unlabeled data

Wang, H., Zhang, Q., Wu, J., Pan, S. & Chen, Y., May 2019, In : Pattern Recognition. 89, p. 55-66 12 p.

Research output: Contribution to journalArticleResearchpeer-review

2018

Active discriminative network representation learning

Gao, L., Yang, H., Zhou, C., Wu, J., Pan, S. & Hu, Y., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2142-2148 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Advances in processing, mining, and learning complex data: From foundations to real-world applications

Wu, J., Pan, S., Zhou, C., Li, G., He, W. & Zhang, C., 19 Jul 2018, In : Complexity. 2018, 3 p., 7861860.

Research output: Contribution to journalEditorialOtherpeer-review

Open Access
File

Adversarially regularized graph autoencoder for graph embedding

Pan, S., Hu, R., Long, G., Jiang, J., Yao, L. & Zhang, C., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2609-2615 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

A hybrid user experience evaluation method for mobile games

Yu, Q., Che, X., Ma, S., Pan, S., Yang, Y., Xing, W. & Wang, X., 31 Jul 2018, In : IEEE Access. 6, p. 49067-49079 13 p., 8423056.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

A three-layered mutually reinforced model for personalized citation recommendation

Cai, X., Han, J., Li, W., Zhang, R., Pan, S. & Yang, L., 12 Apr 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 12, p. 6026-6037 12 p., 8337085.

Research output: Contribution to journalArticleResearchpeer-review

Binarized attributed network embedding

Yang, H., Pan, S., Zhang, P., Chen, L., Lian, D. & Zhang, C., 2018, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDM 2018: 17–20 November 2018 Singapore. Tao, D. & Thuraisingham, B. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1476-1481 6 p. 8626170

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data

Jiang, X., Pan, S., Long, G., Chang, J., Jiang, J. & Zhang, C., 2018, 2018 International Joint Conference on Neural Networks (IJCNN) - 2012 Proceedings. Minku, L. & Soares, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3446-3453 8 p. 8489420

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Cross-domain deep learning approach for multiple financial market prediction

Jiang, X., Pan, S., Jiang, J. & Long, G., 2018, 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings. Minku, L. & Soares, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2191-2198 8 p. 8489360

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

DiSAN: directional self-attention network for RNN/CNN-free language understanding

Shen, T., Jiang, J., Zhou, T., Pan, S., Long, G. & Zhang, C., 2018, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18 ): New Orleans, Louisiana USA — February 2–7, 2018. McIlraith, S. & Weinberger, K. (eds.). Palo Alto California USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 5446-5455 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Discrete network embedding

Shen, X., Pan, S., Liu, W., Ong, Y. S. & Sun, Q. S., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 3549-3555 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network

Dai, T., Zhu, L., Cai, X., Pan, S. & Yuan, S., Aug 2018, In : Journal of Ambient Intelligence and Humanized Computing. 9, 4, p. 957-975 19 p.

Research output: Contribution to journalArticleResearchpeer-review

FraudNE: a joint embedding approach for fraud detection

Zheng, M., Zhou, C., Wu, J., Pan, S., Shi, J. & Guo, A. L., 2018, 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings. Ludermir, T. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4739-4746 8 p. 8489585

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Hashing for adaptive real-time graph stream classification with concept drifts

Chi, L., Li, B., Zhu, X., Pan, S. & Chen, L., May 2018, In : IEEE Transactions on Cybernetics. 48, 5, p. 1591-1604 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Heterogeneous information network embedding based personalized query-focused astronomy reference paper recommendation

Cai, X., Han, J., Pan, S. & Yang, L., Jan 2018, In : International Journal of Computational Intelligence Systems. 11, 1, p. 591-599 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Low-rank and sparse matrix factorization for scientific paper recommendation in heterogeneous network

Dai, T., Gao, T., Zhu, L., Cai, X. & Pan, S., 13 Aug 2018, In : IEEE Access. 6, p. 59015-59030 16 p., 8434216.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Multi-instance learning with discriminative bag mapping

Wu, J., Pan, S., Zhu, X., Zhang, C. & Wu, X., 1 Jun 2018, In : IEEE Transactions on Knowledge and Data Engineering. 30, 6, p. 1065-1080 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Multiple structure-view learning for graph classification

Wu, J., Pan, S., Zhu, X., Zhang, C. & Yu, P. S., Jul 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 7, p. 3236-3251 16 p.

Research output: Contribution to journalArticleResearchpeer-review

Query-oriented citation recommendation based on network correlation

Yang, L., Zheng, Y., Cai, X., Pan, S. & Dai, T., 2018, In : Journal of Intelligent and Fuzzy Systems. 35, 4, p. 4621-4628 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Supervised learning for suicidal ideation detection in online user content

Ji, S., Yu, C. P., Fung, S-F., Pan, S. & Long, G., 2018, In : Complexity. 2018, 10 p., 6157249.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
2017

Boosting for graph classification with universum

Pan, S., Wu, J., Zhu, X., Long, G. & Zhang, C., 2017, In : Knowledge and Information Systems. 50, 1, p. 53-77 25 p.

Research output: Contribution to journalArticleResearchpeer-review

Graph ladder networks for network classification

Hu, R., Pan, S., Jiang, J. & Long, G., 2017, CIKM'17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management: November 6–10, 2017 Singapore, Singapore. Culpepper, S., Lo, E. & Ho, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2103-2106 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

MGAE: marginalized graph autoencoder for graph clustering

Wang, C., Pan, S., Long, G., Zhu, X. & Jiang, J., 2017, CIKM'17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management: November 6–10, 2017 Singapore, Singapore. Sanderson, M., Fu, A. & Sun, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 889-898 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Multi-document summarization based on sentence cluster using Non-negative Matrix Factorization

Yang, L., Cai, X., Pan, S., Dai, H. & Mu, D., 2017, In : Journal of Intelligent and Fuzzy Systems. 33, 3, p. 1867-1879 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Positive and unlabeled multi-graph learning

Wu, J., Pan, S., Zhu, X., Zhang, C. & Wu, X., Apr 2017, In : IEEE Transactions on Cybernetics. 47, 4, p. 818-829 12 p., 7439802.

Research output: Contribution to journalArticleResearchpeer-review

Task sensitive feature exploration and learning for multitask graph classification

Pan, S., Wu, J., Zhu, X., Long, G. & Zhang, C., Mar 2017, In : IEEE Transactions on Cybernetics. 47, 3, p. 744-758 15 p., 7430282.

Research output: Contribution to journalArticleResearchpeer-review

Towards large-scale social networks with online diffusion provenance detection

Wang, H., Wu, J., Pan, S., Zhang, P. & Chen, L., 26 Feb 2017, In : Computer Networks. 114, p. 154-166 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Universal network representation for heterogeneous information networks

Hu, R., Yu, C. P., Fung, S. F., Pan, S., Wang, H. & Long, G., 2017, International Joint Conference on Neural Networks (IJCNN) 2017: Anchorage, Alaska, USA May 14 – May 19, 2017. Jayne, C. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 388-395 8 p. 7965880

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2016

Classifying networked text data with positive and unlabeled examples

Li, M., Pan, S., Zhang, Y. & Cai, X., 1 Jul 2016, In : Pattern Recognition Letters. 77, p. 1-7 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Co-clustering enterprise social networks

Hu, R., Pan, S., Long, G., Zhu, X., Jiang, J. & Zhang, C., 2016, 2016 International Joint Conference on Neural Networks (IJCNN): 24 - 29 July 2016 Vancouver, Canada. A. Estevez, P. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 107-114 8 p. 7727187

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Direct discriminative bag mapping for multi-instance learning

Wu, J., Pan, S., Zhang, P. & Zhu, X., 2016, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16 ): February 12–17, 2016 Phoenix, Arizona, USA. Schuurmans, D. & Wellman, M. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4274-4275 2 p. 2818

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Open Access
File

Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering

Wang, Y., Wenjie, Z., Wu, L., Lin, X., Fang, M. & Pan, S., 2016, IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016: New York, New York, USA 9–15 July 2016. Kambhampati, S. (ed.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 2153-2159 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Joint structure feature exploration and regularization for multi-task graph classification

Pan, S., Wu, J., Zhu, X., Zhang, C. & Yu, P. S., 1 Mar 2016, In : IEEE Transactions on Knowledge and Data Engineering. 28, 3, p. 715-728 14 p., 7302040.

Research output: Contribution to journalArticleResearchpeer-review

Multi-graph-view subgraph mining for graph classification

Wu, J., Hong, Z., Pan, S., Zhu, X., Cai, Z. & Zhang, C., Jul 2016, In : Knowledge and Information Systems. 48, 1, p. 29-54 26 p.

Research output: Contribution to journalArticleResearchpeer-review

SODE: Self-adaptive one-dependence estimators for classification

Wu, J., Pan, S., Zhu, X., Zhang, P. & Zhang, C., Mar 2016, In : Pattern Recognition. 51, p. 358-377 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Tri-party deep network representation

Pan, S., Wu, J., Zhu, X., Zhang, C. & Wang, Y., 2016, IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016: New York, New York, USA 9–15 July 2016. Kambhampati, S. (ed.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 1895-1901 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2015

Boosting for multi-graph classification

Wu, J., Pan, S., Zhu, X. & Cai, Z., Mar 2015, In : IEEE Transactions on Cybernetics. 45, 3, p. 430-443 14 p., 06848779.

Research output: Contribution to journalArticleResearchpeer-review

CogBoost: boosting for fast cost-sensitive graph classification

Pan, S., Wu, J. & Zhu, X., Nov 2015, In : IEEE Transactions on Knowledge and Data Engineering. 27, 11, p. 2933-2946 14 p., 7006795.

Research output: Contribution to journalArticleResearchpeer-review

Finding the best not the most: regularized loss minimization subgraph selection for graph classification

Pan, S., Wu, J., Zhu, X., Long, G. & Zhang, C., Nov 2015, In : Pattern Recognition. 48, 11, p. 3783-3796 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Graph ensemble boosting for imbalanced noisy graph stream classification

Pan, S., Wu, J., Zhu, X. & Zhang, C., May 2015, In : IEEE Transactions on Cybernetics. 45, 5, p. 940-954 15 p., 6884853.

Research output: Contribution to journalArticleResearchpeer-review

Locally weighted learning: how and when does it work in Bayesian networks?

Wu, J., Wu, B., Pan, S., Wang, H. & Cai, Z., Dec 2015, In : International Journal of Computational Intelligence Systems. 8, p. 63-74 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Mining top-k minimal redundancy frequent patterns over uncertain databases

Wang, H., Zhang, P., Wu, J. & Pan, S., 2015, Neural Information Processing: 22nd International Conference, ICONIP 2015 Istanbul, Turkey, November 9–12, 2015 Proceedings, Part IV. Arik, S., Huang, T., Lai, W. K. & Liu, Q. (eds.). Cham Switzerland: Springer, p. 111-119 9 p. (Lecture Notes in Computer Science; vol. 9492).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Multi-graph-view learning for complicated object classification

Wu, J., Pan, S., Zhu, X., Cai, Z. & Zhang, C., 2015, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence . Yang, Q. & Wooldridge, M. (eds.). Palo Alto CA USA: International Joint Conferences on Artificial Intelligence, p. 3953-3959 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Self-adaptive attribute weighting for Naive Bayes classification

Wu, J., Pan, S., Zhu, X., Cai, Z., Zhang, P. & Zhang, C., 15 Feb 2015, In : Expert Systems with Applications. 42, 3, p. 1487-1502 16 p.

Research output: Contribution to journalArticleResearchpeer-review