姓名 | 陈明轩 | 性别 | 男 |
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职称 | 讲师 | |||
研究方向 | 人工智能；深度学习；模式识别；工业智能化 | |||
电子邮箱 | mchen@sues.edu.cn | |||
个人简介 | 美国斯蒂文斯理工学院电子工程博士，主要研究人工智能算法、自然语言处理、计算机视觉、模式识别、深度学习和工业智能化。参与国家科技部重大项目1项，其他面上等纵向科研项目5项。主持横向课题2项。授权国家发明专利2项；软著1项。发表SCI、EI、会议论文10余篇。 | |||
主要成果 | 1. Mingxuan Chen, Shiqi Li, Xujun Wei, and Jiacheng Song. "MMIFR: Multi-modal industry focused data repository." Pattern Recognition Letters 186 (2024): 306-313. 2. Liming Hu*, Mingxuan Chen*, Anjie Wang, and Zhijun Fang. "Dual-stream multi-label image classification model enhanced by feature reconstruction." Multimedia Systems 30, no. 5 (2024): 281. 3. Mingxuan Chen, Xinqiao Chu, and K. P. Subbalakshmi. "MMCoVaR: multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification." In Proceedings of the 2021 IEEE/ACM international conference on advances in social networks analysis and mining, pp. 31-38. 2021. 4. Long-Long Hu, Ming-Xuan Chen, Meng-Meng Wang, and Nan-Run Zhou. "A multi-image encryption scheme based on block compressive sensing and nonlinear bifurcation diffusion." Chaos, Solitons & Fractals 188 (2024): 115521. 5. Jun-Zhuo Zou, Ming-Xuan Chen, and Li-Hua Gong. "Invisible and robust watermarking model based on hierarchical residual fusion multi-scale convolution." Neurocomputing 614 (2025): 128834. 6. 陈明轩。基于深度学习的钢结构板材故障检测方法及系统。CN116773544B（发明专利授权） 7. 陈明轩、叶逸航。一种基于图像融合的行人检测方法、设备和介质。CN117690161B （发明专利授权）
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