Follow
Lei Fang
Lei Fang
Microsoft Research Asia
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Text-to-viz: Automatic generation of infographics from proportion-related natural language statements
W Cui, X Zhang, Y Wang, H Huang, B Chen, L Fang, H Zhang, JG Lou, ...
IEEE transactions on visualization and computer graphics 26 (1), 906-916, 2019
1232019
An efficient location extraction algorithm by leveraging web contextual information
T Qin, R Xiao, L Fang, X Xie, L Zhang
proceedings of the 18th SIGSPATIAL international conference on advances in …, 2010
602010
Fine granular aspect analysis using latent structural models
L Fang, M Huang
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
232012
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis
L Fang, M Huang, X Zhu
Proceedings of the 22nd ACM international conference on Information …, 2013
152013
Question routing in community based QA: Incorporating answer quality and answer content
L Fang, M Huang, X Zhu
Proceedings of the ACM SIGKDD workshop on mining data semantics, 1-8, 2012
142012
Anasearch: extract, retrieve and visualize structured results from unstructured text for analytical queries
T Li, L Fang, JG Lou, Z Li, D Zhang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
112021
Leveraging adjective-noun phrasing knowledge for comparison relation prediction in text-to-sql
H Liu, L Fang, Q Liu, B Chen, JG Lou, Z Li
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
112019
A split-and-recombine approach for follow-up query analysis
Q Liu, B Chen, H Liu, L Fang, JG Lou, B Zhou, D Zhang
arXiv preprint arXiv:1909.08905, 2019
112019
TWT: Table with written text for controlled data-to-text generation
T Li, L Fang, JG Lou, Z Li
Findings of the Association for Computational Linguistics: EMNLP 2021, 1244-1254, 2021
102021
Ranking sentiment explanations for review summarization using dual decomposition
L Fang, Q Qian, M Huang, X Zhu
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
52014
Part & whole extraction: Towards a deep understanding of quantitative facts for percentages in text
L Fang, JG Lou
arXiv preprint arXiv:2110.13505, 2021
42021
Leveraging large data with weak supervision for joint feature and opinion word extraction
L Fang, B Liu, ML Huang
Journal of computer science and technology 30 (4), 903-916, 2015
42015
Single-step retrosynthesis prediction by leveraging commonly preserved substructures
L Fang, J Li, M Zhao, L Tan, JG Lou
Nature Communications 14 (1), 2446, 2023
32023
Leveraging web semantic knowledge in word representation learning
H Liu, L Fang, JG Lou, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6746-6753, 2019
22019
RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking
J Li, L Fang, JG Lou
Journal of Cheminformatics 15 (1), 58, 2023
12023
Semantic parsing of natural language query
Y Gao, L Fang, D Zhang, Y Xiao, JG Lou, MMG Marin
US Patent App. 17/631,576, 2022
12022
Retro-BLEU: quantifying chemical plausibility of retrosynthesis routes through reaction template sequence analysis
J Li, L Fang, JG Lou
Digital Discovery, 2024
2024
Leveraging Reaction-aware Substructures for Retrosynthesis Analysis
L Fang, J Li, M Zhao, L Tan, JG Lou
arXiv preprint arXiv:2204.05919, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–18