Hyeonsu B. Kang
Scholar

Hyeonsu B. Kang

Google Scholar ID: NBcNOCAAAAAJ
Microsoft
Human-AI InteractionNatural Language ProcessingAnalogical ProcessingCreativity
Citations & Impact
All-time
Citations
539
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • Publications: Papers in TOCHI'22, CHI'22, NAACL'22, CHI'25, NeurIPS'23, AAAI'24, UIST'23, CHI'23, UIST'22, CHI'22, CHI'24, CHI'18, UIST'17, Collective Intelligence'19; Awards: Best Paper Award at ACM CHI 2024, Best Paper Honorable Mention Award at ACM CHI 2025, Google Cloud Innovator Award 2021; Other Achievements: Co-designed improved paper-alert emails for Semantic Scholar, developed team-formation algorithms for global open-innovation contests offering over $2 million in prize funding.
Research Experience
  • Work Experience: Senior Applied Scientist at Microsoft, working on developing multimodal agentic systems; Research Projects: including schema-guided analogy & compositional generalization, structured exploration for ideation, threaded knowledge synthesis, and agent evaluations & safety; Collaborations: Toyota Research Institute, Allen Institute for AI (AI2), MIT, Conservation X Labs.
Education
  • Degree: Ph.D.; School: Carnegie Mellon University (CMU); Field: Human-Computer Interaction; Advisor: Not mentioned; Time: Not mentioned.
Background
  • Research Interests: Human-Computer Interaction, enhancing human-AI co-creativity. Specialization: ML and LLM-powered interactive systems. Background: Senior Applied Scientist at Microsoft, focusing on developing multimodal agentic systems for presentation generation and editing, and leading evaluation design for real-world use.
Miscellany
  • Personal Interests: Not mentioned