吴帅，西安电子科技大学华山准聘副教授，硕士生导师，工学博士，于2021年在哈尔滨工业大学（深圳）获得博士学位。2022年入职西安电子科技大学计算机科学与技术学院，并加入大数据与视觉智能研究所，主要研究方向为视觉目标检测、医学影像分析处理、生物信息学、模式识别等。目前，在IEEE TNNLS TMM, TSMCS, TCSVT, Pattern Recognition，Bioinfomatics，IJCAI，BIBM等高水平期刊会议上共发表论文20余篇。主持国自然项目与陕西省秦创原创新创业人才项目，承担与中铁建合作的铁路智能钻探管理系统项目。

硕士研究生招生：2027级有一名保研名额！欢迎基础扎实、有热情、主观能动性强的同学加入！有意报考的同学请尽早发送个人简历和支撑材料至我的邮箱wushuai@xidian.edu.cn。

主要发表论文：

医学影像分析：

1)      Shuai Wu, Ruyi Liu, et al. Boosting Semi-Supervised Medical Image Segmentation Through Inter-Instance Information Complementarity. IEEE Transactions on Neural Networks and Learning Systems, 2026. (中科院一区top, 第一作者)

2)      Zhen Yang, Dongshuai Zhang, Shuai Wu*. A Local-Rotation-Driven Global Consistency Framework with Dual-View Decoding for Semi-Supervised Medical Image Segmentation. IJCAI, 2026. (CCF A 人工智能顶级会议, 通讯作者)

3)      Jiahao Liu, Hang Wei, Shuai Wu*. SNR-Adaptive Unified Diffusion for Multi-Task Medical Image Segmentation . IEEE SMC, 2026. (CCF C类会议，通讯作者)

视觉分析：

1)      Shuai Wu, Chunwei Tian, et al. An Effective Interval Normalization Weighting Method for Accurate Object Detection. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026, 56: 387-399. (中科院一区top, 第一作者)

2)      Shuai Wu, Qiguang Miao, et al. ITDRCNN: An Interactive Task-Decoupled RCNN for enhanced object detection. Pattern Recognition, 2026: 114190. (中科院一区top, 第一作者)

3)      Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang, Deformable Template Network (DTN) for Object Detection, IEEE Transactions on Multimedia, 2022, 24: 2058-2068. (中科院1区top, 第一作者)

4)      Shuai Wu, Yong Xu. DSN: A new deformable subnetwork for object detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 30(7): 2057-2066. (中科院一区top, 第一作者)

5)      Qi Zhang, Weiqiang Xin, Shuai Wu. A Cluster Tree Network for Image Super-Resolution[J]. IEEE Transactions on Consumer Electronics, 2025. (中科院二区, 通讯作者)

6)      Ruyi Liu, Shuai Wu, et al. A Systematic Review of Skeleton-Based Action Recognition: Methods, Challenges, and Future Directions[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025. (中科院一区top)

生物信息学分析：

1)     Yuran Xie, Wei Wang, Shuai Wu*, et al. ncRD-LG: A unified framework integrating molecular language models and subgraph learning for drug–ncRNA target prediction. Pattern Recognition, 2026, 13556. (中科院一区top, 通讯作者)

2)     Hang Wei, Yuran Xie, Shuai Wu*, et al. Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance. Bioinformatics, 2026: btag029. (CCF A 类期刊, 通讯作者)

3)    Hang Wei, Xiayue Fan, Shuai Wu*. iCircDA-ENR identification of circRNA-disease associations based on ensemble network representation. BIBM, 2022. (生物信息领域顶级会议，通讯作者)

4)    Hang Wei, Lin Gao, Shuai Wu, et al. DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity[J]. Bioinformatics, 2024, 40(5): btae306. (CCF A 类期刊)

5)    Guangsheng Huang, Yali Peng, Shuai Wu, et al. MPHGNN: metapath-guided heterogeneous graph neural network for miRNA-drug resistance association prediction[J]. Briefings in Bioinformatics, 2026, 27(1). (中科院2区，生物信息领域权威期刊)