Lili Yao
Applied Researcher at Tencent
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolLili Yao is an applied researcher with 11 years of experience specializing in conversational AI and sequence generation, currently driving research at Tencent where she has progressed to senior technical levels and earned multiple performance and project awards. Her work blends academic rigor from a master's at Peking University and dual bachelor's degrees from Wuhan University with practical innovation—previous internships at Microsoft and Mobvoi produced novel generators and reinforcement-learning driven multi-turn dialogue systems. She has a track record of enhancing generation models by better leveraging history and proposing new reward signals to improve cue-word relevance and effectiveness. Comfortable moving ideas from prototype to production in large-scale industry settings, she navigates both research depth and product constraints. Based in Hong Kong, she brings a cross-disciplinary perspective (computer science and advertising) that helps bridge user intent and model behavior in conversational products. Notably, her contributions emphasize retrospective addressing and encoder-decoder augmentations that improve contextual alignment beyond standard architectures.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science & Technology, Bachelor's degree Computer Science & Technology at Wuhan UniversityMaster's degree Computer Applied Technology, Master's degree Computer Applied Technology at Peking University
English, Chinese
Github Skills (6)
reinforcement-learning1
deep-reinforcement-learning1
artificial-intelligence1
deep-learning1
tensorflow1
chatbot1
Github contributions (5)
yaolili/QAClassification
Dec 2015 - Dec 2015
Contributions:32 commits, 27 pushes, 1 branch in 8 days
yaolili/RL-Chatbot
Jan 2018 - Jun 2018
Contributions:38 pushes in 4 months
deep-learningreinforcement-learningdeep-reinforcement-learningtensorflowchatbot
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