GSI: DHS Center of Excellence - CAOE

Research Output

Filter
Conference contribution
2019

Demo-Net: Degree-specific graph neural networks for node and graph classification

Wu, J., He, J. & Xu, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 406-415 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

1 Scopus citations

Gold panning from the mess: Rare category exploration, exposition, representation, and interpretation

Zhou, D. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3213-3214 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Motif-Preserving Dynamic Local Graph Cut

Zhou, D., He, J., Davulcu, H. & Maciejewski, R., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1156-1161 6 p. 8622263. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

Optimizing the wisdom of the crowd: Inference, learning, and teaching

Zhou, Y., Ma, F., Gao, J. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3231-3232 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Source Free Domain Adaptation Using an Off-the-Shelf Classifier

Nelakurthi, A. R., Maciejewski, R. & He, J., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 140-145 6 p. 8622112. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

Task-adversarial co-generative nets

Yang, P., Tong, H., Tan, Q. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1596-1604 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

2018

Graph convolutional networks: algorithms, applications and open challenges

Zhang, S., Tong, H., Xu, J. & Maciejewski, R., Jan 1 2018, Computational Data and Social Networks - 7th International Conference, CSoNet 2018, Proceedings. Thai, M. T., Chen, X., Li, W. W. & Sen, A. (eds.). Springer Verlag, p. 79-91 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11280 LNCS).

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

4 Scopus citations

Same stats, different graphs: (Graph statistics and why we need graph drawings)

Chen, H., Soni, U., Lu, Y., Maciejewski, R. & Kobourov, S., Jan 1 2018, Graph Drawing and Network Visualization - 26th International Symposium, GD 2018, Proceedings. Biedl, T. & Kerren, A. (eds.). Springer Verlag, p. 463-477 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11282 LNCS).

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

TopoText: Context-preserving Text data exploration across multiple spatial scales

Zhang, J., Surakitbanharn, C., Elmqvist, N., Maciejewski, R., Qian, Z. & Ebert, D. S., Apr 20 2018, CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings; vol. 2018-April).

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

3 Scopus citations
2017

TopoGroups: Context-preserving visual illustration of multi-scale spatial aggregates

Zhang, J., Malik, A., Ahlbrand, B., Elmqvist, N., Maciejewski, R. & Ebert, D. S., May 2 2017, CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, p. 2940-2951 12 p. (Conference on Human Factors in Computing Systems - Proceedings; vol. 2017-May).

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

4 Scopus citations

User-guided cross-domain sentiment classification

Nelakurthi, A. R., Tong, H., Maciejewski, R., Bliss, N. & He, J., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Society for Industrial and Applied Mathematics Publications, p. 471-479 9 p.

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

4 Scopus citations