Lei Fang

Orcid: 0000-0003-2510-1281

Affiliations:
  • Microsoft Research, Beijing, China
  • Tsinghua University, Beijing, China (former)


According to our database1, Lei Fang authored at least 14 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking.
J. Cheminformatics, December, 2023

Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis.
CoRR, 2023

2021
Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text.
CoRR, 2021

AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries.
Proceedings of the WSDM '21, 2021

TWT: Table with Written Text for Controlled Data-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements.
IEEE Trans. Vis. Comput. Graph., 2020

2019
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Split-and-Recombine Approach for Follow-up Query Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Leveraging Web Semantic Knowledge in Word Representation Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015
Leveraging Large Data with Weak Supervision for Joint Feature and Opinion Word Extraction.
J. Comput. Sci. Technol., 2015

2014
Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Fine Granular Aspect Analysis using Latent Structural Models.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2010
An efficient location extraction algorithm by leveraging web contextual information.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010


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