Haris Vikalo – Selected projects
Sensing and Learning under Resource and Privacy Constraints
- A. Hashemi, M. Ghasemi, H. Vikalo and U. Topcu,
"Randomized greedy sensor selection: Leveraging weak submodularity,"
IEEE Transactions on Automatic Control, vol. 66, no. 1, January 2021.
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Y. Chen, A. Hashemi, and H. Vikalo,
"Decentralized optimization on time-varying directed graphs under communication
constraints," IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), Toronto, Canada, June 6-11, 2021.
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A. Hashemi, M. Ghasemi, H. Vikalo and U. Topcu,
"Submodular observation selection and information gathering for quadratic models,"
2019 International Conference on Machine Learning (ICML), Long Beach,
CA, June 10-15, 2019.
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A. Hashemi, M. Ghasemi, H. Vikalo and U. Topcu, "A randomized greedy algorithm for near-optimal
sensor scheduling in large-scale sensor networks,"
The 2018 American Control Conference (ACC), Milwaukee, WI, June 27-29, 2018.
(Best student paper award finalist).
Algorithmic Methods for Analysis of Genomic Communities using Sequencing Data
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Z. Ke and H. Vikalo,
"A convolutional auto-encoder for haplotype assembly and viral quasispecies
reconstruction," Thirty-fourth Conference on Neural Information
Processing Systems (NeurIPS), December 6-12, 2020.
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A. Sankararaman, H. Vikalo, and F. Baccelli,
"ComHapDet: A spatial community detection algorithm for haplotype assembly,"
BMC Genomics, vol. 1, 2020.
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Z. Ke and H. Vikalo, "A graph auto-encoder for haplotype assembly and viral quasispecies
reconstruction," The 34th AAAI Conference on Artificial Intelligence (AAAI-20),
New York, NY, February 7-12, 2020.
- S. Ahn, Z. Ke and H. Vikalo,
"Viral quasispecies reconstruction via tensor factorization with
successive read removal," Bioinformatics, vol. 34, no. 13, July 2018,
pp. i23–i31.
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