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Keqian Li
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2020 – today
- 2023
- [j2]Fei Tan
, Changwei Hu, Yifan Hu, Kevin Yen
, Zhi Wei
, Aasish Pappu, Serim Park, Keqian Li:
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7014-7023 (2023) - [c12]Quanying Ren
, Keqian Li
, Dongshen Yang
, Yan Zhu
, Keyu Yao
, Xiangfu Meng
:
TCM Function Multi-classification Approach Using Deep Learning Models. WISA 2023: 246-258 - [c11]Zhe Wang, Keqian Li, Quanying Ren, Keyu Yao, Yan Zhu:
Traditional Chinese Medicine Formula Classification Using Large Language Models. BIBM 2023: 4647-4654 - 2022
- [c10]Qinyi Du, Qingqing Wang, Keqian Li, Jidong Tian, Liqiang Xiao, Yaohui Jin:
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. ACM Multimedia 2022: 3282-3290 - [i4]Keqian Li, Yifan Hu, Logan Palanisamy, Lisa Jones, Akshay Gupta, Jason Grigsby, Ili Selinger, Matt Gillingham, Fei Tan:
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning. CoRR abs/2203.04540 (2022) - [i3]Keqian Li, Yifan Hu:
SuperCone: Modeling Heterogeneous Experts with Concept Meta-learning for Unified Predictive Segments System. CoRR abs/2203.07029 (2022) - 2021
- [c9]Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma:
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. IEEE BigData 2021: 5950-5952 - [c8]Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen:
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. IEEE BigData 2021: 5953-5955 - 2020
- [c7]Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen:
TNT: Text Normalization based Pre-training of Transformers for Content Moderation. EMNLP (1) 2020: 4735-4741
2010 – 2019
- 2019
- [c6]Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, Xifeng Yan:
HierCon: Hierarchical Organization of Technical Documents Based on Concepts. ICDM 2019: 379-388 - [c5]Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan:
Mining Algorithm Roadmap in Scientific Publications. KDD 2019: 1083-1092 - 2018
- [c4]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Concept Mining via Embedding. ICDM 2018: 267-276 - [c3]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Unsupervised Neural Categorization for Scientific Publications. SDM 2018: 37-45 - 2017
- [c2]Keqian Li, Yeye He, Kris Ganjam:
Discovering Enterprise Concepts Using Spreadsheet Tables. KDD 2017: 1873-1882 - 2015
- [i2]Keqian Li:
On Integrating Information Visualization Techniques into Data Mining: A Review. CoRR abs/1503.00202 (2015) - 2014
- [j1]Wei Lu, Shanshan Chen
, Keqian Li, Laks V. S. Lakshmanan:
Show Me the Money: Dynamic Recommendations for Revenue Maximization. Proc. VLDB Endow. 7(14): 1785-1796 (2014) - [c1]Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu:
On social event organization. KDD 2014: 1206-1215 - [i1]Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan:
Show Me the Money: Dynamic Recommendations for Revenue Maximization. CoRR abs/1409.0080 (2014)
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