Keqian Li

22 papers A* 6A 1Misc 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction.
CoRR
Shuzhen Bi, Mengsong Wu, Hao Hao, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, Aimin Zhou
2026 J jnl
Poisson Mixed-Effects Count Regression Model Based on Double SCAD Penalty and Its Simulation Study.
Axioms
Keqian Li, Xueni Ren, Hanfang Li, Youxi Luo
2026 J jnl
Scaling Laws for Educational AI Agents.
CoRR
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, Aimin Zhou
2024 — conf
Exploration of Joint Training Models for Interdisciplinary Graduate Students in Traditional Chinese Medicine Informatics.
BIBM
Meiwei Zhang, Yan Zhu, Keqian Li, Weiqi Wang, Yuanjun Zou, Jingchao Li
2023 J jnl
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.
IEEE Trans. Neural Networks Learn. Syst.
Fei Tan, Changwei Hu, Yifan Hu, Kevin Yen, Zhi Wei, Aasish Pappu, Serim Park, Keqian Li
2023 Misc conf
TCM Function Multi-classification Approach Using Deep Learning Models.
WISA
Quanying Ren, Keqian Li, Dongshen Yang, Yan Zhu, Keyu Yao, Xiangfu Meng
2023 — conf
Traditional Chinese Medicine Formula Classification Using Large Language Models.
BIBM
Zhe Wang, Keqian Li, Quanying Ren, Keyu Yao, Yan Zhu
2022 A* conf
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding.
ACM Multimedia
Qinyi Du, Qingqing Wang, Keqian Li, Jidong Tian, Liqiang Xiao, Yaohui Jin
2022 J jnl
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning.
CoRR
Keqian Li, Yifan Hu, Logan Palanisamy, Lisa Jones, Akshay Gupta, Jason Grigsby, Ili Selinger, Matt Gillingham, Fei Tan
2022 J jnl
SuperCone: Modeling Heterogeneous Experts with Concept Meta-learning for Unified Predictive Segments System.
CoRR
Keqian Li, Yifan Hu
2021 — conf
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation.
IEEE BigData
Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma
2021 — conf
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop.
IEEE BigData
Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen
2020 — conf
TNT: Text Normalization based Pre-training of Transformers for Content Moderation.
EMNLP (1)
Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen
2019 A* conf
HierCon: Hierarchical Organization of Technical Documents Based on Concepts.
ICDM
Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, Xifeng Yan
2019 A* conf
Mining Algorithm Roadmap in Scientific Publications.
KDD
Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan
2018 A* conf
Concept Mining via Embedding.
ICDM
Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan
2018 A conf
Unsupervised Neural Categorization for Scientific Publications.
SDM
Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan
2017 A* conf
Discovering Enterprise Concepts Using Spreadsheet Tables.
KDD
Keqian Li, Yeye He, Kris Ganjam
2015 J jnl
On Integrating Information Visualization Techniques into Data Mining: A Review.
CoRR
Keqian Li
2014 A* conf
On social event organization.
KDD
Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu
2014 J jnl
Show Me the Money: Dynamic Recommendations for Revenue Maximization.
CoRR
Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan
2014 J jnl
Show Me the Money: Dynamic Recommendations for Revenue Maximization.
Proc. VLDB Endow.
Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan