On social event organization. - Keqian Li; Wei Lu 002; Smriti Bhagat; Laks V. S. Lakshmanan; Cong Yu 001 (KDD, 2014)

Show Me the Money: Dynamic Recommendations for Revenue Maximization. - Wei Lu 002; Shanshan Chen; Keqian Li; Laks V. S. Lakshmanan (Proc. VLDB Endow., 2014)

On Integrating Information Visualization Techniques into Data Mining: A Review. - Keqian Li (CoRR, 2015)

Discovering Enterprise Concepts Using Spreadsheet Tables. - Keqian Li; Yeye He; Kris Ganjam (KDD, 2017)

Concept Mining via Embedding. - Keqian Li; Hanwen Zha; Yu Su 001; Xifeng Yan (ICDM, 2018)

Unsupervised Neural Categorization for Scientific Publications. - Keqian Li; Hanwen Zha; Yu Su 001; Xifeng Yan (SDM, 2018)

HierCon: Hierarchical Organization of Technical Documents Based on Concepts. - Keqian Li; Shiyang Li; Semih Yavuz; Hanwen Zha; Yu Su 001; Xifeng Yan (ICDM, 2019)

Mining Algorithm Roadmap in Scientific Publications. - Hanwen Zha; Wenhu Chen; Keqian Li; Xifeng Yan (KDD, 2019)

TNT: Text Normalization based Pre-training of Transformers for Content Moderation. - Fei Tan; Yifan Hu 001; Changwei Hu; Keqian Li; Kevin Yen (EMNLP (1), 2020)

Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. - Keqian Li; Yifan Hu 001; Manisha Verma; Fei Tan; Changwei Hu; Tejaswi Kasturi; Kevin Yen (IEEE BigData, 2021)

BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. - Keqian Li; Kevin Yen; Shaunak Mishra; Yifan Hu 001; Changwei Hu; Manisha Verma (IEEE BigData, 2021)

CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. - Qinyi Du; Qingqing Wang; Keqian Li; Jidong Tian; Liqiang Xiao; Yaohui Jin (ACM Multimedia, 2022)

MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning. - Keqian Li; Yifan Hu 001; Logan Palanisamy; Lisa Jones; Akshay Gupta; Jason Grigsby; Ili Selinger; Matt Gillingham; Fei Tan (CoRR, 2022)

SuperCone: Modeling Heterogeneous Experts with Concept Meta-learning for Unified Predictive Segments System. - Keqian Li; Yifan Hu 001 (CoRR, 2022)

TCM Function Multi-classification Approach Using Deep Learning Models. - Quanying Ren; Keqian Li; Dongshen Yang; Yan Zhu; Keyu Yao; Xiangfu Meng (WISA, 2023)

Traditional Chinese Medicine Formula Classification Using Large Language Models. - Zhe Wang; Keqian Li; Quanying Ren; Keyu Yao; Yan Zhu (BIBM, 2023)

MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. - Fei Tan; Changwei Hu; Yifan Hu 001; Kevin Yen; Zhi Wei 001; Aasish Pappu; Serim Park; Keqian Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Exploration of Joint Training Models for Interdisciplinary Graduate Students in Traditional Chinese Medicine Informatics. - Meiwei Zhang; Yan Zhu; Keqian Li; Weiqi Wang; Yuanjun Zou; Jingchao Li (BIBM, 2024)