Kun Qian
Scholar

Kun Qian

Google Scholar ID: T-9ljuEAAAAJ
Sr. ML Manager at Adobe; ex-Apple, Amazon, IBM Research, UCSC Alumni
AI Assistanthuman-in-the-loop machine learningDeep LearningEntity Resolution
Citations & Impact
All-time
Citations
1,429
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
45
list available
Resume (English only)
Academic Achievements
  • - Published over 20 papers in top AI and CS conferences.
  • - Won the Best Demo Award at ISWC 2020.
  • - Received the DSRI AI Incidents and Best Practices Paper Award at IAAI 2025.
Research Experience
  • - Developed machine learning systems for low-resource settings at IBM Research, combining deep learning, human-in-the-loop approaches, and weak supervision.
  • - Improved search experiences for millions of customers at Amazon's Search Science and AI group.
  • - Led the creation of a knowledge graph for Apple's user queries.
  • - Currently building an intelligent AI Assistant for marketers at Adobe.
Education
  • Earned a PhD from UC Santa Cruz under the guidance of Balder ten Cate, Phokion Kolaitis, and Wang-Chiew Tan. The primary focus was on approximation algorithms for data integration problems.
Background
  • A Senior Machine Learning Manager and Researcher with a passion for both scientific research and real-world impact. Research interests include information extraction, large language models, human-in-the-loop machine learning, active learning, weak supervision, deep learning, explainable AI, data integration and exchange, multilingual search.
Miscellany
  • Enjoys reading, movies, traveling, and cooking Szechuan cuisine. Originally from Chongqing, China, now living in the Seattle area with his wife and son.