Qr code
中文
孟文佳

Research Associate


Gender:Female
Alma Mater:浙江大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:软件学院
Business Address:软件园校区 软件学院办公楼
Contact Information:wjmeng@sdu.edu.cn
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Profile

孟文佳,博士,助理研究员。本科毕业于山东大学软件工程专业,博士毕业于浙江大学计算机科学与技术专业。主要从事强化学习、人工智能等方面的研究工作。在重要国际期刊和会议发表过多篇工作。


招生方向:

硕士生:人工智能、软件工程、信息方向(计算机,自动化等)


研究方向:

强化学习、人工智能


代表性工作:

1. Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, and Gang Pan, “Qualitative measurements of policy discrepancy for return-based deep q-network,” IEEE transactions on neural networks and learning systems (TNNLS, 中科院一区,IF=11.683), 31(10):4374–4380, 2020.

2. Wenjia Meng, Qian Zheng, Yue Shi, and Gang Pan, “An off-policy trust region policy optimization method with monotonic improvement guarantee,” IEEE transactions on neural networks and learning systems (TNNLS, 中科院一区,IF=11.683), pp. 1–13, 2021.



Educational Experience

  • 2010.9 -- 2014.6

    山东大学       软件工程       Bachelor's Degree in Engineering

  • 2014.9 -- 2021.6

    浙江大学       计算机科学与技术       Doctoral Degree in Engineering

Research Focus