290
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2025-07-26
2025-08-05
优秀学位论文
| 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 |
成果信息
| 期刊 | [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. TIP, 2025.(宣介) |
| [2]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. TETCI, 2024.(宣介) | |
| [1]Zhenyu Zhang, Jian Pang, Jianxi Ding,Xin’an Yuan, Weifeng Liu*, Xiaoping Lu, Honglong Chen. Conditional Denoising Diffusion Model Based Defect Reconstruction for Alternating Current Field Measurement. IEEE Sensors Journal, 2024.(宣介) | |
| 会议 | [12]Zhenyu Zhang, Yuhong Lu, Haoran Li, Wei Li, Weifeng Liu. Directional Denoising Diffusion Model for Defect Reconstruction Using Alternating Current Field Measurement. ICIC, 2025.(宣介) |
| [11]Jiqun Chen, Baodi Liu*. Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features. MICCAI, 2025. (宣介) | |
| [10]Weifeng Liu*, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen. IW-ViT: Independence-Driven Weighting Vision Transformer for Out-of-Distribution Generalization. Pattern Recognition, 2025.(宣介) | |
| [9]Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao. Excluding the Impossible for Open Vocabulary Semantic Segmentation. AAAI, 2025.(宣介) | |
| [8]Hao Tang, Siyue Yu, Jian Pang, Bingfeng Zhang. A Training-free Synthetic Data Selection Method for Semantic Segmentation. AAAI, 2025.(宣介) | |
| [7]Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao. Modeling All Response Surfaces in One for Conditional Search Spaces. AAAI, 2025.(宣介) | |
| [6]Jian Pang, Weifeng Liu*, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao. MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments. Pattern Recognition, 2024.(宣介) | |
| [5]Bingfeng Zhang, Xuru Gao, Siyue Yu, Weifeng Liu*. Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance. Pattern Recognition, 2024.(宣介) | |
| [4]Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu. Adaptive Immune-based Sound-Shape code Substitution for Adversarial Chinese Text Attacks. EMNLP, 2024.(宣介) | |
| [3]Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu. Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. CVPR, 2024.(宣介) | |
| [2]Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu. Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. CVPR, 2024.(宣介) | |
| [1]Jin Wang, Bingfeng ZhangY*, Weifeng Liu*, Baodi Liu and Siyue Yu. Self-Compensating Learning for Few-Shot Segmentation. ICIP, 2023.(宣介) |
