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，入选山东大学青年学者未来计划。迄今以第一/通讯作者发表CCF-A类论文十余篇，包括TPAMI、ICLR、NeurIPS、CVPR、ICCV、AAAI、ACM MM、IEEE T-IP、IEEE T-IFS等。主持国家自然科学基金青年项目、山东省优秀青年科学基金项目（海外）、山东省自然科学基金青年项目、济南市高层次人才项目、山东大学青年学者未来计划等项目。
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。欢迎确认被录取的2026级同学与我联系。（qiangchang.wangsdu.edu.cn）。
代表性论文：
Qiangchang Wang, et al. M3R++: Masked Token Mixup and Dual Cross-Modal Masking for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI-2026，第一作者，CCF-A 期刊)
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)
Qiangchang Wang, et al. CQA-Face: Contrastive Quality-aware Attentions for Face Recognition. Association for the Advancement of Artificial Intelligence (AAAI-2022，第一作者，CCF-A 会议)
Qiangchang Wang, et al. Motion-Phase Collaborative Learning for Dynamic Facial Expression Recognition. ACM International Conference on Multimedia (ACM MM-2026，第一作者，CCF-A 会议)
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)
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)
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)
P. Zhao, Qiangchang Wang, et al. M3R: Masked Token Mixup and Cross-Modal Reconstruction for Zero-Shot Learning. ACM Multimedia (ACM MM-2023，通讯作者，CCF-A 会议)
W. Li, Qiangchang Wang, et al. VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning. Conference on Neural Information Processing Systems (NeurIPS-2025，通讯作者，CCF-A 会议)
W. Li, X. Meng, Qiangchang Wang, et al. DVLA-RL: Dual-Level Vision-Language Alignment with Reinforcement Learning Gating for Few-Shot Learning. The Fifteenth International Conference on Learning Representations (ICLR-2026，通讯作者，CCF-A 会议)
W. Li, Qiangchang Wang, et al. KNN Transformer with Pyramid Prompts for Few-Shot Learning. ACM Multimedia (ACM MM-2024，通讯作者，CCF-A 会议)
L. Chen, Qiangchang Wang, et al. Hypergraph-guided Intra- and Inter-category Relation Modeling for Fine-grained Visual Recognition. ACM Multimedia (ACM MM-2024，通讯作者，CCF-A 会议)
Z. Wu, W. Li, Z. Qin, Qiangchang Wang. Expanding Intra-modal and Compressing Inter-modal Embedding Space for Incomplete Multimodal Emotion Recognition. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT-2026，通讯作者, 中科院一区)
P. Zhao, X. Xi, Qiangchang Wang, et al. TransZSL: Characterizing Hierarchical Semantic-Aware Parts with Transformers for Generalized Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT-2024，通讯作者, 中科院一区)
