Yanyan Zhao

Harbin Institute of Technology

Papers

2

Total Citations

99

H-Index

2

About

Yanyan Zhao is a leading researcher in natural language processing and conversational AI, with a primary focus on neural response generation and intelligent dialogue systems. Her most influential work, "Neural Personalized Response Generation as Domain Adaptation" (2018), has garnered 92 citations and represents a significant contribution to making chatbots more engaging by adapting responses to individual user preferences. Zhao also played a key role in developing "Benben: A Chinese Intelligent Conversational Robot" (2017), a pioneering system that integrates chitchat, task completion, question answering, and recommendation capabilities into a single mobile platform—a notable achievement in the evolution of virtual assistants. Her research bridges the gap between generic dialogue models and personalized, context-aware interactions, advancing the field of human-computer conversation. With a career marked by innovative work on domain adaptation and multi-functional conversational agents, Zhao's contributions continue to shape how intelligent systems understand and respond to users, making her a respected figure in NLP and AI research.

Research Focus

Key Achievements

2
H-Index
2
Papers
99
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Neural personalized response generation as domain adaptation
92 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago