CV

Education

• Ph.D in Computer Science, 2024
  • University of Science and Technology of China, Hefei, China
• B.E. in Computer Science, 2018
  • University of Science and Technology of China, Hefei, China

Experience

• Apr. 2023 - Oct. 2023: Research Intern
  • Fuxi Lab, NetEase Inc.
  • Duties includes: user modeling on the crowdsourcing platform, reward allocation algorithm designing
  • Supervisor: Dr. Runze Wu
• Summer 2018: Research Intern
  • iFLYTEK C0.Ltd.
  • Duties included: algorithm designing for question difficulty prediction
  • Supervisor: Dr. Haiping Ma

Scholarship and Awards

• Outstanding Graduate (USTC, and Anhui Province), 2023.
• Longhu Scholarship, USTC, 2023.
• National Scholarship, USTC, 2020.
• Academic Scholarship, USTC, 2018-2023.
• Yuanqing Scholarhip, USTC, 2018.

Services

• TA of the courses COMP7204P (Frontiers of Machine Learning and Data Mining) and CS1503 (Introduction to Data Science), school of computer science and technology.
• Reviewer of conferences and transactions, including SIGKDD, AAAI, IJCAI CIKM, IEEE TKDE, IEEE TLT, ACM TOIS, EDM.

Patents

• Haoyu Liu, Fei Wang, Minmin Lin, et al. A training and aggregation method for annotation aggretation, Patent No. 202311412986.9.
• Haoyu Liu, Fei Wang, Runze Wu, et al. A method, device for incremental truth inference, Patent No. 202311400499.0.
• Qi Liu, Enhong Chen, Jiatong Li, Zhenya Huang, Fei Wang, Wei Huang. A method for predicting student answers, Patent No. 202210914718.6.
• Qi Liu, Enhong Chen, Fei Wang, et al. A method for cognitive diagnosis of students, Patent No. 201910549764.9.