Biography

• 王强昌，博士，山东大学软件学院，副研究员，硕士生导师，山东省优青，济南市高KJ人才，入选“山东大学青年学者未来计划”。曾在百度深度学习实验室访问交流两年。迄今以第一作者发表CCF-A类和一区论文9篇，包括CVPR、ICCV、AAAI、IEEE T-IP、IEEE T-IFS等。长期担任IEEE T-PAMI、IJCV、IEEE T-IP、IEEE T-AC、ACM T-OMM和CVPR、ICCV、ECCV、AAAI等国际著名期刊会议的审稿人。

研究方向：

  1. 以人为中心的AI模型构建：专注于将AI无缝融入人们生活的技术，目的是改善人们的整体体验，如生成式AI（AIGC）、表情识别、伪造检测、动作识别、行人重识别、人脸识别等。

  2. 受限场景下的视觉内容理解：探索人类大脑的快速识别潜在机制，提出高效学习模型，如小样本学习、零样本学习等。

  3. 大模型（LLM）、多模态学习等 。

                                                                          说话人脸生成                       

招生信息：软件工程、人工智能。欢迎2024级入学的同学与我联系（qiangchang.wang AT sdu.edu.cn）。

代表性论文：

1.  Qiangchang Wang, et al. Hierarchical Pyramid Diverse Attention Networks for Face Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2020，第一作者，CCF-A 会议)

2. Qiangchang Wang, et al. CQA-Face: Contrastive Quality-aware Attentions for Face Recognition (AAAI-2022，第一作者，CCF-A 会议)

3. Qiangchang Wang, et al. AAN-Face: Attention Augmented Networks for Face Recognition. IEEE Transactions on Image Processing (TIP-2021，第一作者， IF:10.856，CCF-A 期刊，中科院一区)

4. Qiangchang Wang, et al. DSA-Face: Diverse and Sparse Attentions for Face Recognition Robust to Pose Variation and Occlusion. IEEE Transactions on Information Forensics and Security (TIFS-2021，第一作者， IF:7.178，CCF-A 期刊，中科院一区)

5. Qiangchang Wang, et al. Ls-cnn: Characterizing local patches at multiple scales for face recognition. IEEE Transactions on Information Forensics and Security (TIFS-2019，第一作者， IF:7.178，CCF-A 期刊，中科院一区)

6. F. Xue*, Qiangchang Wang*, et al. TransFER: Learning Relation-aware Facial Expression Representations with Transformers. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV-2021，共同一作，CCF-A 会议) 

7.  Z. Wang*, Qiangchang Wang*, et al. Learning Multi-granularity Temporal Characteristics for Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security (TIFS-2022，共同一作， IF:7.178，CCF-A 期刊，中科院一区)

8. F. Xue*, Qiangchang Wang*, et al. Vision transformer with attentive pooling for robust facial expression recognition. IEEE Transactions on Affective Computing (TAC-2022，共同一作，IF:11.2，中科院一区)  

9.  Qiangchang Wang, et al. Multi-Scale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification. IEEE Journal of Biomedical and Health Informatics (JBHI-2018，第一作者， IF: 5.772，中科院一区)

10.  Qiangchang Wang, et al. Benchmarking deep learning techniques for face recognition. Journal of Visual Communication and Image Representation (JVCIR-2019，第一作者， IF:2.678，CCF-C 期刊，中科院三区) 

11.  Z. Wang*, Qiangchang Wang*, et al. Face Anti-Spoofing Using Transformers with Relation-aware Mechanism. IEEE transactions on biometrics behavior and identity science (TBIOM-2022，共同一作)

12.  Y. Yu, Qiangchang Wang, et al. Discriminative common feature subspace learning for age-invariant face recognition (IET Biometrics-2020)

13.  S. Jia, G. Guo, Z. Xu, Qiangchang Wang. Face presentation attack detection in mobile scenarios: A comprehensive evaluation. (Image and Vision Computing-2020，CCF-C 期刊，中科院三区)

14.  M. Yang, Qiangchang Wang, et al. Multi-feature joint dictionary learning for face recognition. IAPR Asian Conference on Pattern Recognition (ACPR-2017)