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Bio
His research is at the confluence of diverse areas such as algorithms and data structures (with a focus on scalable graph algorithms), algorithm engineering, semantic analysis, combinatorial optimization and machine learning.
Prior to this appointment, he worked as a research scientist at Nokia Bell Labs. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies.
Prior to this appointment, he worked as a research scientist at Nokia Bell Labs. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies.
Research Interests
Papers共 74 篇Author StatisticsCo-AuthorSimilar Experts
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International Network Optimization Conferencepp.1-3, (2024)
Journal of Heuristicsno. 2-3 (2023): 313-347
Learning and Intelligent Optimization: 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Paperspp.378-392, (2023)
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Jiwei Zhang,Deepak Ajwani
arXiv (Cornell University) (2022): 40-45
2022 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX)pp.184-194, (2022)
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