序号 | 年度 | 类别 | 姓名 | 题目 |
20 | 2025 | 校级优秀毕业论文 | 白雨 | 基于集成学习的长尾图像识别研究 |
19 | 2024 | 校优秀硕士学位论文 | 韩博文 | 基于小目标识别的乳腺癌影像分类算法研究 |
18 | 2024 | 校级优秀硕士论文 | 齐宇鹏 | 基于多变量组合优化的高效词级文本攻击算法研究 |
17 | 2024 | 中国自动化学会优秀硕士论文 | 许仁杰 | 面向小样本分类问题的任务选择方法研究 |
16 | 2023 | 校级优秀硕士论文 | 兴雷 | 基于表征学习的小样本学习算法研究 |
15 | 2023 | 校级优秀硕士论文 | 蔡玉颖 | 基于局部结构对齐的领域自适应方法研究 |
14 | 2023 | 中国自动化学会优秀硕士论文 | 傅司超 | 基于图卷积神经网络的半监督分类算法研究 |
13 | 2022 | 校级优秀硕士论文 | 姜文宗 | 基于注意力机制的自监督单图像处理算法研究 |
12 | 2022 | 山东省人工智能学会优秀硕士论文 | 李金凤 | 基于几何结构迁移的领域自适应方法研究 |
11 | 2021 | 山东省优秀硕士学位论文 | 傅司超 | 基于图卷积神经网络的半监督分类算法研究 |
10 | 2021 | 山东省人工智能学会优秀硕士论文 | 傅司超 | 基于图卷积神经网络的半监督分类算法研究 |
9 | 2020 | 中国电子学会优秀硕士论文 | 傅司超 | 基于图卷积神经网络的半监督分类算法研究 |
8 | 2020 | 校级优秀硕士论文 | 傅司超 | 基于图卷积神经网络的半监督分类算法研究 |
7 | 2020 | 山东省人工智能学会优秀硕士论文 | 马学琦 | 基于p-Laplacian的图像分类算法研究 |
6 | 2020 | 山东省优秀硕士学位论文 | 马学琦 | 基于p-Laplacian的图像分类算法研究 |
5 | 2019 | 校级优秀硕士论文 | 马学琦 | 基于p-Laplacian的图像分类算法研究 |
4 | 2019 | 山东省优秀硕士学位论文 | 杨兴浩 | 基于典型相关分析的多视角图像识别算法研究 |
3 | 2018 | 校级优秀硕士论文 | 杨兴浩 | 基于典型相关分析的多视角图像识别算法研究 |
2 | 2015 | 校级优秀硕士论文 | 刘红丽 | 多视角学习在智能信息处理中的若干应用研究 |
1 | 2013 | 校级优秀硕士论文 | 宋彩风 | 基于视觉感知机制的人脸表情分析 |
[5] Ang Li, Xinghao Yang, Baodi Liu, Honglong Chen, Dapeng Tao, Weifeng Liu. Parentheses insertion based sentence-level text adversarial attack[J]. Multimedia Systems, 2025, 31(2): 101.(pdf)
[4] Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu. Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance[J]. Engineering Applications of Artificial Intelligence, 2025, 139: 109532.(pdf)
[3] Weifeng Liu, Jian Pang, Bingfeng Zhang, Jin Wang, Baodi Liu, Dapeng Tao. See Degraded Objects: A Physics-guided Approach for Object Detection in Adverse Environments[J]. IEEE Transactions on Image Processing, 2025.(宣介)
[2] Weifeng Liu*, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen. IW-ViT: Independence-Driven Weighting Vision Transformer for Out-of-Distribution Generalization[J]. Pattern Recognition, 2025, 161: 111308.(宣介)
[1] Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin,Weifeng Liu, Xiongbin Wang, and Dapeng Tao. Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.(宣介)
[7] Xiaonan Qi, Haoran Yu, Xiaoming Zhao, Weifeng Liu. Analogical Reasoning Enhanced Multimodal Knowledge Graph Embedding[C]//2025 44rd Chinese Control Conference (CCC). IEEE, 2025 (in press).(宣介)
[6] Meng Lyu, Xiaonan Qi, Haoran Yu, Ting Pan, Xiaoming Zhao, Weifeng Liu. A Painting Psychoanalysis Method Based on Image Caption and Knowledge Graph Reasoning[C]//2025 44rd Chinese Control Conference (CCC). IEEE, 2025 (in press).(宣介)
[5] Zhenyu Zhang, Yuhong Lu, Haoran Li, Wei Li, Weifeng Liu. Directional Denoising Diffusion Model for Defect Reconstruction Using Alternating Current Field Measurement[C]//Proceedings of the International Conference on Intelligent Computing (ICIC). 2025 (in press).(宣介)
[4] Jiqun Chen, Baodi Liu*. Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features[C]//Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI). 2025 (in press).(宣介)
[3] Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao. Excluding the Impossible for Open Vocabulary Semantic Segmentation[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2025, 39(10): 10457-10464.(宣介)
[2] Hao Tang, Siyue Yu, Jian Pang, Bingfeng Zhang. A Training-free Synthetic Data Selection Method for Semantic Segmentation[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2025, 39(7): 7229-7237.(宣介)
[1] Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao. Modeling All Response Surfaces in One for Conditional Search Spaces[C]//Proceedings of the AAAI conference on artificial intelligence (AAAI). 2025, 39(17): 18323-18332.(宣介)