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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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New Foundations and Algorithms for Advancing Adversarial Learning
10/18/22 → 12/31/23
Project: Research project
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Collaborative Research: MLWiNS: ANN for Interference Limited Wireless Networks
6/1/20 → 5/31/24
Project: Research project
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CIF: Small: A simple and unifying optimization frameworks for signal and information processing problems with Min-Max structures
10/1/19 → 9/30/23
Project: Research project
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AN IMPLICIT GRADIENT-TYPE METHOD FOR LINEARLY CONSTRAINED BILEVEL PROBLEMS
Tsaknakis, I., Khanduri, P. & Hong, M., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5438-5442 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
Shrestha, S., Fu, X. & Hong, M., 2022, In: IEEE Transactions on Signal Processing. 70, p. 1170-1184 15 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Zhang, G., Lu, S., Zhang, Y., Chen, X., Chen, P. Y., Fan, Q., Martie, L., Horesh, L., Hong, M. & Liu, S., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 2353-2363 11 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
Liu, Y., Zhang, X., Kang, Y., Li, L., Chen, T., Hong, M. & Yang, Q., 2022, In: IEEE Transactions on Signal Processing. 70, p. 4277-4290 14 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Learning to Beamform in Heterogeneous Massive MIMO Networks
Zhu, M., Chang, T. H. & Hong, M., 2022, (Accepted/In press) In: IEEE Transactions on Wireless Communications. p. 1 1 p.Research output: Contribution to journal › Article › peer-review