Scholar
Chengxi Ye
Google Scholar ID: UhnKSmYAAAAJ
Google DeepMind
Citations & Impact
Citations
2,698
H-index
16
i10-index
19
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Exploiting Invariance in Training Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 2022.
- Network deconvolution. The International Conference on Learning Representations (ICLR) 2020 (spotlight paper).
- The sea lamprey germline genome provides insights into programmed genome rearrangement and vertebrate evolution. Nature Genetics, 2018.
- DBG2OLC: efficient assembly of large genomes using long erroneous reads of the third generation sequencing technologies. Scientific reports, 2016.
- LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. Proceedings of the 2016 ACM on Multimedia Conference, 2016.
- BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution. Bioinformatics, 2014.
- Exploiting sparseness in de novo genome assembly. BMC bioinformatics, 2012.
Background
- Research interests: Deep Learning, Computer Vision, Bioinformatics. Currently a software engineer at Google DeepMind, focusing on ultra-efficient machine learning with applications to large language models (LLMs).
