
陈树煌,男,中共党员,博士,讲师,硕士生导师,于2025年11月入职厦门理工学院计算机与信息工程学院,福建省模式识别与图像理解重点实验室成员。在国际著名期刊及会议IJCV、SCIS、TNNLS、TEC、TETCI、CVPR、ACM MM等上发表了若干篇论文。担任TIP、TNNLS、ACMMM等国际期刊会议审稿人。
研究兴趣:计算机视觉、零样本学习、迁移学习、大模型事后可解释性
研究生招生专业:计算机技术(专硕)/软件工程(专硕)/智能科学与技术(学硕)
电子邮箱:shchen@xmut.edu.cn
教育背景:
l 2021.09-2025.09:华中科技大学,电子信息,博士(导师:尤新革教授)
l 2017.09-2020.03:上海交通大学,电子与通信工程,硕士
l 2013.09-2017.06:湖北大学,电子科学与技术,学士
科研项目:
l 厦门理工高层次人才项目, 基于异质平均场和异构图神经网络面向大模型可信知识更新的定位后编辑方法研究/YKJ26001R,研究经费:12万元,项目负责人。
l 厦门市自然科学基金,基于参数统计分布特性的大模型知识编辑方法研究/3502Z202672011,研究经费:5万元,项目负责人。
主要发表论文 (近5年)
l Shuhuang Chen, Dingjie Fu, Shiming Chen, Shuo Ye, Wenjin Hou, Xinge You*. Causal Visual-semantic Correlation for Zero-Shot Learning, ACM Multimedia, 2024: 4246-4255 (CCF-A会议)
l Shuhuang Chen, Shiming Chen, Guosen Xie, Xiangbo Shu, Xinge You*, Xuelong Li. Rethinking Attribute Localization for Zero-Shot Learning, Science China Information Sciences, 2024, 67(7): 172103 (CCF-A期刊;JCR-Q1)
l Shiming Chen*, Shuhuang Chen*, Guosen Xie, Xinge You. Mutually Causal Semantic Distillation Network for Zero-Shot Learning[J]. International Journal of Computer Vision, 2026, 134(5): 246. (CCF-A期刊;JCR-Q1,通讯作者)
l Shuhuang Chen, Shiming Chen, Ziming Hong, Yuanjie Shao, Xinge You*. Dynamic Semantic Complementary Network for Zero-Shot Learning, IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, doi: 10.1109/TETCI.2025.3573239(JCR-Q1)
l Shuhuang Chen, Shiming Chen, Shuo Ye, Yuetian Wang, Xinge You*. Towards Disentangled and Controllable Deep Metric Learning with Human-Like Concept Decomposition, IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(10): 18628-18641(JCR-Q1)
l Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, Xinge You*. EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning, IEEE Transactions on Evolutionary Computation, 2023, 28(3): 582-596 (JCR-Q1)
l Wenjin Hou, Shiming Chen, Shuhuang Chen, Ziming Hong, Yan Wang, Xuetao Feng, Salman Khan, Fahad Shahbaz Khan, Xinge You*. Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning, Conference on Computer Vision and Pattern Recognition, 2024: 23627-23637 (CCF-A会议)
l Tianxu Wu, Shuo Ye, Shuhuang Chen, Qinmu Peng*, Xinge You. Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 9(1): 630-640 (JCR-Q1)
l Wang Yuetian, Shuo Ye*, Hou W, Shuhuang Chen. VCE: Visual Concept Embedding for Open-set Fine-grained Image Retrieval[J]. Knowledge-Based Systems, 2025: 114311. (JCR-Q1)