Grants per year
Fingerprint
Dive into the research topics where Hsinchun Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Grants
- 1 Finished
-
GeneScene: a toolkit for gene pathway analysis
Chen, H. (PI)
5/1/02 → 4/30/06
Project: Research project
-
Deep Learning for Information Systems Research
Samtani, S., Zhu, H., Padmanabhan, B., Chai, Y., Chen, H. & Nunamaker, J. F., 2023, In: Journal of Management Information Systems. 40, 1, p. 271-301 31 p.Research output: Contribution to journal › Article › peer-review
31 Scopus citations -
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
Ebrahimi, M., Chai, Y., Zhang, H. H. & Chen, H., Feb 1 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 2, p. 1862-1875 14 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics
Samtani, S., Yang, S. & Chen, H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5880-5881 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense
Samtani, S., Wang, G., Ahmadzadeh, A., Ciptadi, A., Yang, S. & Chen, H., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4900-4901 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection
Ebrahimi, M. R., Li, W., Chai, Y., Pacheco, J. & Chen, H., 2022, Proceedings - 22nd IEEE International Conference on Data Mining Workshops, ICDMW 2022. Candan, K. S., Dinh, T. N., Thai, M. T. & Washio, T. (eds.). IEEE Computer Society, p. 567-576 10 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2022-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations