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。主持国家自然科学基金青年基金，山东省自然科学基金青年基金。发表人工智能等领域国际顶级会议与期刊多篇，包括AAAI，CVPR，TNNLS等。担任包括NeurIPS、CVPR在内的多个国际学术会议及期刊审稿人。担任中国图形图像学会多媒体专委会委员，山东省人工智能学会理事。
招生方向：
学术型硕士生：人工智能、软件工程
专业型硕士生：电子信息（人工智能方向、软件工程方向）
招生说明：
1、2026年度招生状况：有人工智能专硕/软件工程专硕招生资格。（已招满）
2、有意向的硕士考生请尽快与我邮件联系。
研究方向：
强化学习、AI for Science、脑机智能
课程信息：《人工智能基础》、《人工智能导论》、《机器学习基础》、《软件项目管理》
主持或参与科研项目：
1. 国家自然科学基金青年项目（2023.1-2025.12)，主持
2. 山东省自然科学青年基金项目（2023.1-2025.12)，主持
3. 山东大学青年学者未来计划项目 (2023.1-2027.12)，主持
代表性工作：（*通讯作者）
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.
3. Wenjia Meng, Qian Zheng, Gang Pan, and Yilong Yin, "Off-Policy Proximal Policy Optimization", Proceedings of the AAAI Conference on Artificial Intelligence, 2023 (CCF A).
4. Wenjia Meng, Qian Zheng, Long Yang, Yilong Yin, and Gang Pan, "Off-OAB: Off-Policy Policy Gradient Method With Optimal Action-Dependent Baseline", IEEE Transactions on Neural Networks and Learning Systems (TNNLS, 中科院一区，IF=11.683) , 2025.
5. Wenjia Meng, Huimin Han, Xiankai Lu, Yilong Yin, Gang Pan, and Qian Zheng, "LAC-PS: A Light Direction Selection Policy under the Accuracy Constraint for Photometric Stereo", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, 中科院一区，IF=10.975), 2025.
6.Wenjia Meng, Xueshi Yu, Tingting Zhang, and Renmin Han, "A noise-robust classification method for cryo-ET subtomograms with out-of-distribution detection", Bioinformatics (CCF-B), 2025.
7. Xueshi Yu, Renmin Han, Haitao Jiao, and Wenjia Meng*, "Few-shot classification of Cryo-ET subvolumes with deep Brownian distance covariance", Briefings in Bioinformatics (中科院一区), 26(1), 2025.
8. Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, and Wenjia Meng*, "SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning", Proceedings of the Computer Vision and Pattern Recognition Conference, 2025 (CCF-A).
9. Zhenbang Zhang, Hongjia Li, Zhiqiang Xu, Wenjia Meng*, Renmin Han, "A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy", Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (CCF-A).
10. Zhengzhe Zhang, Wenjia Meng*, Haoliang Sun, and Gang Pan, "CausalCOMRL: Context-based offline meta-reinforcement learning with causal representation", Neural Networks, 2025 (中科院一区) .
