• 1471 Citations
  • 22 h-Index
20082021

Research output per year

If you made any changes in Pure these will be visible here soon.

Research Outputs

  • 1471 Citations
  • 22 h-Index
  • 66 Conference proceeding contribution
  • 60 Article
  • 2 Review article
  • 1 Editorial
2020

CenEEGs: valid EEG selection for classification

Dai, C., Pi, D., Becker, S. I., Wu, J., Cui, L. & Johnson, B., Mar 2020, In : ACM Transactions on Knowledge Discovery from Data. 14, 2, 25 p., 18.

Research output: Contribution to journalArticle

Detecting the evolving community structure in dynamic social networks

Liu, F., Wu, J., Xue, S., Zhou, C., Yang, J. & Sheng, Q., Mar 2020, In : World Wide Web. 23, 2, p. 715-733 19 p.

Research output: Contribution to journalArticle

ReInCre: enhancing collaborative filtering recommendations by incorporating user rating credibility

Kermany, N. R., Zhao, W., Yang, J. & Wu, J., 2020, Web Information Systems Engineering: WISE 2019 Workshop, Demo, and Tutorial, Revised Selected Papers. U, L. H., Yang, J., Cai, Y., Karlapalem, K., Liu, A. & Huang, X. (eds.). Singapore: Springer, Springer Nature, p. 64-72 9 p. (Communications in Computer and Information Science; vol. 1155 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2019

A correlation-based feature weighting filter for naive Bayes

Jiang, L., Zhang, L., Li, C. & Wu, J., 1 Feb 2019, In : IEEE Transactions on Knowledge and Data Engineering. 31, 2, p. 201-213 13 p., 8359364.

Research output: Contribution to journalArticle

29 Citations (Scopus)

A destination prediction network based on spatiotemporal data for bike-sharing

Jiang, J., Lin, F., Fan, J., Lv, H. & Wu, J., 1 Jan 2019, In : Complexity. 2019, p. 1-14 14 p., 7643905.

Research output: Contribution to journalArticle

Open Access
File
3 Citations (Scopus)
18 Downloads (Pure)

An unsupervised parameter learning model for RVFL neural network

Zhang, Y., Wu, J., Cai, Z., Du, B. & Yu, P. S., 1 Apr 2019, In : Neural Networks. 112, p. 85-97 13 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)

Automatic knowledge graph construction: a report on the 2019 ICDM/ICBK Contest

Wu, X., Wu, J., Fu, X., Li, J., Zhou, P. & Jiang, X., 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), p. 1540-1545 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

CoTrRank: Trust evaluation of users and tweets

Li, P., Zhao, W., Yang, J. & Wu, J., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2019-August. p. 6542-6544 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Open Access

Deep structure learning for rumor detection on Twitter

Huang, Q., Zhou, C., Wu, J., Wang, M. & Wang, B., 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 8 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

DeepTrust: a deep user model of homophily effect for trust prediction

Wang, Q., Zhao, W., Yang, J., Wu, J., Hu, W. & Xing, Q., 1 Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 618-627 10 p. 8970846

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Detecting and assessing anomalous evolutionary behaviors of nodes in evolving social networks

Wang, H., Wu, J., Hu, W. & Wu, X., Jan 2019, In : ACM Transactions on Knowledge Discovery from Data. 13, 1, p. 1-24 24 p., 12.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Evolutionary community detection in dynamic social networks

Liu, F., Wu, J., Zhou, C. & Yang, J., 1 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2019-July. p. 1-7 7 p. N-20102

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

GroExpert: a novel group-aware experts identification approach in crowdsourcing

Xing, Q., Zhao, W., Yang, J., Wu, J., Wang, Q. & Wang, M., 2019, Proceedings of 20th International Conference of Web Information Systems Engineering - WISE 2019. Cheng, R., Mamoulis, N., Sun, Y. & Huang, X. (eds.). Cham, Switzerland: Springer, p. 3-17 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11881 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Guiding cross-lingual entity alignment via adversarial knowledge embedding

Lin, X., Yang, H., Wu, J., Zhou, C. & Wang, B., 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), p. 429-438 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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., 2019, In : IEEE Access. 7, p. 33778-33786 9 p.

Research output: Contribution to journalEditorial

Improved coupled tensor factorization with its applications in health data analysis

Wu, Q., Wang, J., Fan, J., Xu, G., Wu, J., Johnson, B., Li, X., Do, Q. & Ge, R., 2019, In : Complexity. 2019, p. 1-16 16 p., 1574240.

Research output: Contribution to journalArticle

Open Access
File
1 Downloads (Pure)

Learning shapelet patterns from network-based time series

Wang, H., Wu, J., Zhang, P. & Chen, Y., Jul 2019, In : IEEE Transactions on Industrial Informatics. 15, 7, p. 3864-3876 13 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Link prediction with signed latent factors in signed social networks

Xu, P., Hu, W., Wu, J. & Du, B., 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY: Association for Computing Machinery (ACM), p. 1046-1054 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Multi-view fusion with extreme learning machine for clustering

Zhang, Y., Wu, J., Zhou, C., Cai, Z., Yang, J. & Yu, P. S., Oct 2019, In : ACM Transactions on Intelligent Systems and Technology. 10, 5, p. 1-23 23 p., 53.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Nonrigid point set registration with robust transformation learning under manifold regularization

Ma, J., Wu, J., Zhao, J., Jiang, J., Zhou, H. & Sheng, Q. Z., Dec 2019, In : IEEE Transactions on Neural Networks and Learning Systems. 30, 12, p. 3584-3597 14 p.

Research output: Contribution to journalArticle

20 Citations (Scopus)

Robust correlation filter tracking with multi-scale spatial view

Xiao, Y., Li, J., Du, B., Wu, J., Li, X., Chang, J. & Zhou, Y., 17 Sep 2019, In : Neurocomputing. 358, p. 119-140 22 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Salient subsequence learning for time series clustering

Zhang, Q., Wu, J., Zhang, P., Long, G. & Zhang, C., Sep 2019, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 41, 9, p. 2193-2207 15 p.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Smooth Deep Network Embedding

Zheng, M., Zhou, C., Wu, J. & Guo, L., 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 8 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Social trust network embedding

Xu, P., Hu, W., Wu, J., Liu, W., Du, B. & Yang, J., 2019, Proceedings, 19th IEEE International Conference on Data Mining. Wang, J., Shim, K. & Wu, X. (eds.). Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), p. 678-687 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Time series feature learning with labeled and unlabeled data

Wang, H., Zhang, Q., Wu, J., Pan, S. & Chen, Y., 1 May 2019, In : Pattern Recognition. 89, p. 55-66 12 p.

Research output: Contribution to journalArticle

8 Citations (Scopus)
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. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 2142-2148 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

A deep framework for Cross-Domain and Cross-System Recommendations

Zhu, F., Wang, Y., Chen, C., Liu, G., Orgun, M. & Wu, J., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). Freiburg: International Joint Conferences on Artificial Intelligence, p. 3711-3717 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Open Access
10 Citations (Scopus)

A deep learning health data analysis approach: automatic 3D prostate MR segmentation with densely-connected volumetric ConvNets

Zhu, Q., Du, B., Wu, J. & Yan, P., 1 Jul 2018, 2018 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

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., 1 Jan 2018, In : Complexity. 2018, p. 1-3 3 p., 7861860.

Research output: Contribution to journalReview article

Open Access
File
1 Downloads (Pure)

A novel consistent random forest framework: Bernoulli random forests

Wang, Y., Xia, S-T., Tang, Q., Wu, J. & Zhu, X., Aug 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3510-3523 14 p.

Research output: Contribution to journalArticle

9 Citations (Scopus)

A novel deep learning approach: stacked evolutionary auto-encoder

Cai, Y., Cai, Z., Zeng, M., Liu, X., Wu, J. & Wang, G., 1 Jul 2018, 2018 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Brain EEG time series selection: a novel graph-based approach for classification

Dai, C., Wu, J., Pi, D. & Cui, L., 1 Jan 2018, Proceedings of the 2018 SIAM International Conference on Data Mining. Ester, M. & Pedreschi, D. (eds.). Philadelphia: Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

DAliM: Machine learning based intelligent lucky money determination for large-scale e-commerce businesses

Fu, M., Wong, C. M., Zhu, H., Huang, Y., Li, Y., Zheng, X., Wu, J., Yang, J. & Vong, C. M., 1 Jan 2018, Service-Oriented Computing: 16th International Conference, ICSOC 2018, Proceedings. Yu, Q., Pahl, C., Vukovic, M. & Yin, J. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 740-755 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11236 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Deep structure learning for fraud detection

Wang, H., Zhou, C., Wu, J., Dang, W., Zhu, X. & Wang, J., 27 Dec 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-November. p. 567-576 10 p. 8594881

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Dual implicit mining-based latent friend recommendation

Cui, L., Wu, J., Pi, D., Zhang, P. & Kennedy, P., 12 Jan 2018, (Accepted/In press) In : IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Dual influence embedded social recommendation

Zhang, Q., Wu, J., Zhang, Q., Zhang, P., Long, G. & Zhang, C., Jul 2018, In : World Wide Web. 21, 4, p. 849–874 26 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

FraudNE: a joint embedding approach for fraud detection

Zheng, M., Zhou, C., Wu, J., Pan, S., Shi, J. & Guo, L., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018: Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p. 8489585

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Individual interest and trust driving collective intelligence awareness for social recommendation

Cui, L., Wang, C., Wu, J., Yang, J. & Sheng, M., 10 Oct 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-July. 6 p. 8489633

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Multi-instance learning with discriminative bag mapping

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

Research output: Contribution to journalArticle

15 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 journalArticle

25 Citations (Scopus)

Nonlocal patch based t-SVD for image inpainting: algorithm and error analysis

Song, L., Du, B., Zhang, L., Zhang, L., Wu, J. & Li, X., 1 Jan 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. Menlo Park, California: Association for the Advancement of Artificial Intelligence, p. 2419-2426 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Probabilistic Graph Embedding for unsupervised domain adaptation

Xiao, P., Du, B., Yun, S., Lit, X., Zhang, Y. & Wu, J., 26 Nov 2018, 2018 24th International Conference on Pattern Recognition, ICPR 2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-August. p. 1283-1288 6 p. 8546005

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Recommendation with multi-source heterogeneous information

Gao, L., Yang, H., Wu, J., Zhou, C., Lu, W. & Hu, Y., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3378-3384 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

Self-representative manifold concept factorization with adaptive neighbors for clustering

Ma, S., Zhang, L., Hu, W., Zhang, Y., Wu, J. & Li, X., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 2539-2545 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

Social recommendation with an essential preference space

Liu, C. Y., Zhou, C., Wu, J., Hu, Y. & Guo, L., 1 Jan 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. Association for the Advancement of Artificial Intelligence, p. 346-353 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

16 Citations (Scopus)

Time-variant graph classification

Wang, H., Wu, J., Zhu, X., Chen, Y. & Zhang, C., 21 May 2018, In : IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Research output: Contribution to journalArticle

1 Citation (Scopus)

TLR: transfer latent representation for unsupervised domain adaptation

Xiao, P., Du, B., Wu, J., Zhang, L., Hu, R. & Li, X., 8 Oct 2018, 2018 IEEE International Conference on Multimedia and Expo, ICME 2018. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-July. p. 1-6 6 p. 8486513

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

VCF: velocity correlation filter, towards space-borne satellite video tracking

Shao, J., Du, B., Wu, C., Wu, J., Hu, R. & Li, X., 8 Oct 2018, 2018 IEEE International Conference on Multimedia and Expo, ICME 2018. Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-July. p. 1-6 6 p. 8486451

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)
2017

A brain network inspired algorithm: Pre-trained Extreme Learning Machine

Zhang, Y., Wu, J., Cai, Z. & Jiang, S., 2017, Neural information processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V. Liu, D., Xie, S., Li, Y., Zhao, D. & El-Alfy, E-S. M. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 14-23 10 p. (Lecture Notes in Computer Science; vol. 10638).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification

Wang, Y., Xia, S-T. & Wu, J., 15 Mar 2017, In : Knowledge-Based Systems. 120, p. 34-42 9 p.

Research output: Contribution to journalArticle

11 Citations (Scopus)