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Research Output 2010 2020

2020

Clustering social audiences in business information networks

Zheng, Y., Hu, R., Fung, S., Yu, C., Long, G., Guo, T. & Pan, S., Apr 2020, In : Pattern Recognition. 100, 12 p.

Research output: Contribution to journalArticleResearchpeer-review

2019

Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion

Wan, G., Du, B., Pan, S. & Wu, J., 15 Oct 2019, (Accepted/In press) In : World Wide Web-Internet and Web Information Systems. 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Adversarial action data augmentation for similar gesture action recognition

Wu, DI., Chen, J., Sharma, N., Pan, S., Long, G. & Blumenstein, M., 2019, International Joint Conference on Neural Networks (IJCNN) 2019. Angelov, P. & Roveri, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8851993

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

An explainable deep fusion network for affect recognition using physiological signals

Lin, J., Pan, S., Lee, C. S. & Oviatt, S., 2019, Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Cui, P., Rundensteiner, E., Carmel, D., He, Q. & Xu Yu, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2069-2072 4 p.

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

Open Access
File
1 Citation (Scopus)

Attentive dual embedding for understanding medical concepts in electronic health records

Peng, X., Long, G., Pan, S., Jiang, J. & Niu, Z., 2019, International Joint Conference on Neural Networks (IJCNN) 2019. Angelov, P. & Roveri, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8852429

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

Attributed Graph Clustering: a Deep Attentional Embedding approach

Wang, C., Pan, S., Hu, R., Long, G., Jiang, J. & Zhang, C., 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Kraus, S. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 3670-3676 7 p.

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

Open Access
File
3 Citations (Scopus)

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., Dec 2019, In : IEEE Transactions on Industrial Electronics. 66, 12, p. 9713-9723 11 p.

Research output: Contribution to journalArticleResearchpeer-review

DAGCN: dual attention graph convolutional networks

Chen, F., Pan, S., Jiang, J., Huo, H. & Long, G., 2019, International Joint Conference on Neural Networks (IJCNN) 2019. Angelov, P. & Roveri, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8851698

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

Detecting suicidal ideation with data protection in online communities

Ji, S., Long, G., Pan, S., Zhu, T., Jiang, J. & Wang, S., 2019, Database Systems for Advanced Applications : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA Chiang Mai, Thailand, April 22–25, 2019 Proceedings. Li, G., Yang, J., Gama, J., Natwichai, J. & Tong, Y. (eds.). Cham Switzerland: Springer, p. 225-229 5 p. (Lecture Notes in Computer Science; vol. 11448 ).

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

1 Citation (Scopus)

Graph WaveNet for deep spatial-temporal graph modeling

Wu, Z., Pan, S., Long, G., Jiang, J. & Zhang, C., 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Kraus, S. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 1907-1913 7 p.

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

Open Access
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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
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1 Citation (Scopus)

Learning private neural language modeling with attentive aggregation

Ji, S., Pan, S., Long, G., Li, X., Jiang, J. & Huang, Z., 2019, International Joint Conference on Neural Networks (IJCNN) 2019. Angelov, P. & Roveri, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8852464

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

Long-short distance aggregation networks for positive unlabeled graph learning

Wu, M., Tsang, I., Pan, S., Zhu, X., Du, L. & Du, B., 2019, Proceedings of the 28th ACM International Conference on Information & Knowledge Management. Cui, P., Rundensteiner, E., Carmel, D., He, Q. & Xu Yu, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2157-2160 4 p.

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

Open Access
File
2 Citations (Scopus)

Low-Bit Quantization for Attributed Network Representation Learning

Yang, H., Pan, S., Chen, L., Zhou, C. & Zhang, P., 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Kraus, S. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 4047-4053 7 p.

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

Open Access
File
1 Citation (Scopus)

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

4 Citations (Scopus)

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

6 Citations (Scopus)

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
4 Citations (Scopus)

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
14 Citations (Scopus)

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

1 Citation (Scopus)

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
7 Citations (Scopus)

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

4 Citations (Scopus)

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

1 Citation (Scopus)

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

41 Citations (Scopus)

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

Shen, T., Jiang, J., Zhou, T., Pan, S., Long, G. & Zhang, C., 2018, The Thirty-Second AAAI Conference on Artificial Intelligence. McIlraith, S. & Weinberger, K. (eds.). Palo Alto CA 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
5 Citations (Scopus)

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
14 Citations (Scopus)

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

2 Citations (Scopus)

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

6 Citations (Scopus)

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
2 Citations (Scopus)

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
11 Citations (Scopus)

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

22 Citations (Scopus)

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

2 Citations (Scopus)

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

5 Citations (Scopus)

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
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2017
6 Citations (Scopus)

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

11 Citations (Scopus)

Exploiting attribute correlations: a novel trace lasso-based weakly supervised dictionary learning method

Wu, L., Wang, Y. & Pan, S., Dec 2017, In : IEEE Transactions on Cybernetics. 47, 12, p. 4497-4508 12 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

22 Citations (Scopus)

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

2 Citations (Scopus)

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

34 Citations (Scopus)

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

19 Citations (Scopus)

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

8 Citations (Scopus)

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

4 Citations (Scopus)

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
9 Citations (Scopus)

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

4 Citations (Scopus)

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

1 Citation (Scopus)

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
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