Xiaoqin Feng

♥ Education  ｜ News  ｜ Publicaitons  ｜ Teaching  ｜ Life Cakes

About Me

Hello! My name is Xiaoqin Feng. I am currently a Tech Lead at Mobvoi AI Lab, specializing in AI product development, research, and interactive application design. My core responsibilities encompass the entire product lifecycle, including data construction, performance evaluation, algorithm optimization, and facilitating effective product communication to align cross-functional teams. Additionally, I play a crucial role in managing team members and coordinating resources. I am committed to developing products that are driven by user needs and data insights, making me a versatile contributor to AI projects.

Here is my CV

Education

• [Oct. 2016 – Jan. 2019] M.Sc. in Software Engineer at Beijing University of Technology(BJUT), overall grade: 86 (max. 100) between “Very Good” and “Good”
• [Oct. 2012 – Jan. 2016] B.Eng. in Computer Science at Southwest Minzu University(SMU), overall grade: 3.66 (max. 4.0), “Top 5” of 154 students

Employment and Activity

• [May. 2023 - Present] Mobvoi AI Lab, Tech Lead. Research on text information extraction of text-to-speech on multi- and cross- lingual domain, including semantic NLP, emotional NLP and generative NLP.
• [Jul. 2019 - May. 2023] Mobvoi AI Lab, Senior Speech Engineer. Research on text information extraction of text-to-speech on multi- and cross- lingual domain, including semantic NLP, emotional NLP and generative NLP.
• [Aug. 2018 - Dec. 2018] TAL AI Lab, Algorithm Research Intern. Research on deep knowledge tracing and graph representation learning.
• [Jun. 2018 - Aug. 2018] DeeCamp AI Lab, Research Team Member. Research on ‘Movie Recommendation based on Knowledge Graph’. github
• [Jul. 2018 - Aug. 2018] TAL FutureCamp AI Lab, Research Team Member. Research on ‘Recommendation System for Movie’.
• [Sep. 2017 – Dec. 2017] Ali Tianchi Competition, Competitor. Topic was predicting user’s current store location based on user consumption data(one million+). Research on linear model, emsemble model, and big data mining.
• waiting to be added …..

News

• [Oct. 2023] Our paper about information extraction and Multilingual has been accepted by APIN(Applied Intelligence) 2024.
• [Oct. 2022] Our paper about multi-granularity stress prediction of expressive TTS has been accepted by APSIPA 2023.
• [Jul. 2022] Our paper about prompt learning(rhythm) has been accepted by PRML 2022.
• [Jun. 2019] Our paper about knowledge tracing has been accepted by AIED 2019.
• [Jun. 2019] Our paper about image detection has been accepted by Journal of Physics 2019
• [Oct. 2018] Our paper about quick edge detection(image) has been accepted by CCIOT 2018.
• [Nov. 2018] Our paper about cloud computing and intelligence system has been accepted by CCIS 2018.

Publications[Google Scholar]

Teaching

• Lecture - Embedded System Design Practice
  As teaching assistant at BJUT, for M.Sc. students, approx. 80 students each year. Winter 2018

• Company - Speech & NLP
  As a mentor at Mobvoi, for interns (students), avg. 3 students each year. Annual 2021-Present

Life Cakes

• I love music, cooking, reading, traveling…
• Here is my life stroy, expecting …..