Xiaoqin Feng

♥ Education  ｜ News  ｜ Publicaitons  ｜ Teaching  ｜ Life Cakes

About Me

Hello! My name is Xiaoqin Feng. I am a Master’s student at the University of Southern California (USC) with research interests in Generative AI, LLM-powered agents, Human-AI Collaboration, and AI for Science. My work emphasizes agents, speech, data, evaluation, and real-world applications. I bring hands-on industry experience in these areas and am dedicated to advancing artificial intelligence through rigorous research and practical innovation.

Here is my CV, I am applying for PhD programs(2025/2026)—feel free to email me if you’re interested.

Education

• [Sep. 2025 – Present] M.Sc. in Artificial Intelligence at University of Southern California(USC)
• [Sep. 2016 – May. 2019] M.Sc. in Software Engineer at Beijing University of Technology(BJUT), overall grade: 86 (max. 100) between “Very Good” and “Good”
• [Sep. 2012 – May. 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

• [Aug. 2025 - Present] Mobvoi AI Lab, Part-time Consultant. Support product decision-making by focusing on model optimization, multi-agent systems, and real-time information tracking.
• [May. 2023 - Jul. 2025] Mobvoi AI Lab, Tech Lead. Research on LLM agent, LLM application, Audio LLM, prompt engineering, data engineering and model evaluation. (Agent & Application & Data& Evaluation)
• [Jul. 2019 - May. 2023] Mobvoi AI Lab, Senior Speech Engineer. Research on speech synthesis 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
• [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. 2024] Our paper about Audio LLM - SparkTTS is available on arXiv 2025.
• [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 …..