个人简介
孟敏
广东工业大学教授
广东省"珠江人才计划"高层次人才 青年百人计划A+类
科研方向：图像处理，机器学习，模式识别，计算机图形学
发表国际重要期刊和会议论文40余篇，单篇最高引用100余次
研究方向
深度学习算法优化
研究深度神经网络的结构优化、训练效率提升和模型压缩技术， 致力于开发更高效、更轻量的深度学习模型。
计算机视觉应用
专注于图像识别、目标检测、语义分割等计算机视觉任务， 探索AI在医疗影像、自动驾驶等领域的应用。
机器学习理论
研究机器学习算法的理论基础，包括泛化能力分析、 模型解释性和鲁棒性提升等方面。
计算机图形学
研究计算机图形学算法与技术，包括三维建模、渲染技术、 虚拟现实和游戏开发等领域的应用研究。
教育背景
博士学位
应用数学浙江大学
2006.09 – 2011.06
学士学位
信息与计算科学郑州大学
2002.09 – 2006.06
工作经历
教授
广东工业大学计算机学院
2024.01 – 至今
副教授
广东工业大学计算机学院
2016.06 – 2023.12
研究员
新加坡理工学院机械与航天工程学系
2013.09 – 2016.06
博士后
新加坡南洋理工大学计算机科学与工程学院
2011.09 – 2013.08
科研项目
国家自然科学基金面上项目
项目编号：62172109
主持
国家自然科学基金青年项目
项目编号：61702114
主持
广东省自然科学基金项目
项目编号：2022A1515010322, 2020A1515011361
主持
期刊论文
[1] M. Lan, M. Meng(通信作者), J. Yu, J. Wu. Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach. IEEE Transactions on Image Processing, 2024, vol. 33, pp. 4090-4103. (CCF A, 中科院1区)
查看论文[2] M. Meng, H. Wang, J. Yu, H. Chen and J. Wu. Asymmetric Supervised Consistent and Specific Hashing for Cross-Modal Retrieval. IEEE Transactions on Image Processing, 2021, vol. 30, pp. 986-1000. (CCF A, 中科院1区)
查看论文[3] M. Meng, M. Lan, J. Yu, J. Wu and D. Tao. Constrained Discriminative Projection Learning for Image Classification. IEEE Transactions on Image Processing, 2020, vol. 29, pp. 186-198. (CCF A, 中科院1区)
查看论文[4] M. Meng and J. Yu. Zero-Shot Learning via Robust Latent Representation and Manifold Regularization. IEEE Transactions on Image Processing, 2019, 28(4), P1824-1836. (CCF A, 中科院1区)
查看论文[5] M. Meng, W. Chen, J. Liu, J. Yu and J. Wu. CoDi: Contrastive Disentanglement Generative Adversarial Networks for Zero-Shot Sketch-Based 3D Shape Retrieval. IEEE Circuits and Systems for Video Technology, 2025, 35(2), pp. 1910-1920. (CCF B, 中科院1区)
查看论文[6] M. Meng, J. Sun, J. Liu, J. Yu and J. Wu. Semantic Disentanglement Adversarial Hashing for Cross-Modal Retrieval. IEEE Circuits and Systems for Video Technology, 2024, 34(3), pp. 1914-1926. (CCF B, 中科院1区)
查看论文[7] M. Meng, M. Lan, J. Yu and J. Wu. Multiview Consensus Structure Discovery. IEEE Transactions on Cybernetics, 2022, 52(5), pp. 3469-3482. (CCF B, 中科院1区)
查看论文[8] M. Meng, M. Lan, J. Yu and J. Wu. Dual-Level Adaptive and Discriminative Knowledge Transfer for Cross-Domain Recognition. IEEE Transactions on Multimedia, 2023, 25, pp. 2266-2279. (CCF B, 中科院1区)
查看论文[9] M. Meng, Z. Wu, T. Liang, J. Yu and J. Wu. Exploring Fine-Grained Cluster Structure Knowledge for Unsupervised Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology, Aug., 2022, 32(8), pp. 5481-5494. (CCF B, 中科院1区)
查看论文[10] M. Lan, M. Meng(通讯作者), J. Yu and J. Wu. Generalized Multi-view Collaborative Subspace Clustering. IEEE Transactions on Circuits and Systems for Video Technology, Aug., 2022, 32(8), pp. 5481-5494. (CCF B, 中科院1区)
查看论文[11] M. Meng, M. Lan, J. Yu and J. Wu. Coupled Knowledge Transfer for Visual Data Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(5), P1176-1789. (CCF B, 中科院1区)
查看论文[12] J. Xu, M. Meng J. Liu and J. Wu. Deep Multi-view Clustering with Diverse and Discriminative Feature Learning. Pattern Recognition, 2025, 161, 111322-280. (CCF B, 中科院1区)
查看论文[13] M. Meng, Q. Chen and J. Wu. Structure Preservation Adversarial Network for Visual Domain Adaptation. Information Sciences, Nov. 2021, 579, pp. 266-280. (CCF B, 中科院1区)
查看论文[14] M. Meng, Jie Wei and J. Wu. Learning Multi-Part Attention Neural Network for Zero-shot Classification. IEEE Transactions on Cognitive and Developmental Systems, Jun., 2022, 16(2), pp. 414-423. (中科院2区)
查看论文[15] Z. Wu, M. Meng(通讯作者), T. Liang and J. Wu. Hierarchical Triple-Level Alignment for Multiple Source and Target Domain Adaptation. Applied Intelligence, Feb., 2023, vol. 53, pp. 3766-3782. (CCF C, 中科院2区)
查看论文[16] J. Guan, M. Meng(通讯作者), T. Liang, J. Liu and J. Wu. Dual-level Contrastive learning Network for Generalized Zero-Shot Learning. The Visual Computer, 2022, 38, pp. 3087-3095. (CCF C, 中科院3区)
查看论文[17] M. Meng, X. Zhan and J. Wu. Joint Discriminative Attributes and Similarity Embeddings for Zero-shot Recognition. Neurocomputing, 2020, vol. 399, pp. 117-128. (CCF C, 中科院2区)
查看论文[18] M. Meng, Y. Liu and J. Wu. Robust Discriminant Projection via Joint Margin and Locality Structure Preservation. Neural Processing Letters, 2021, vol. 53, pp. 959-982. (CCF C, 中科院3区)
查看论文[19] Z. Wu, M. Meng(通讯作者) and J. Wu. Visual Sentiment Prediction with Attribute Augmentation and Multi-Attention Mechanism. Neural Processing Letters, 2020, vol. 51, pp. 2403-2416. (CCF C, 中科院3区)
查看论文[20] M. Meng, X. Zhan. Zero-Shot Learning via Low Rank Representation Based Manifold Regularization. IEEE Signal Processing Letters, 2018, 25(9), P1379-1383. (CCF C, 中科院3区)
查看论文[21] M. Meng, Y.J. Chua, E. Wouterson, C.P.K. Ong. Ultrasonic signal classification and imaging system for composite materials via deep convolutional neural networks. Neurocomputing, 2017, 257:128-135. (CCF C, 中科院2区)
查看论文[22] M. Meng, and Y. He. Consistent quadrangulation for shape collections via feature line co-extraction. 2016, Computer-Aided Design, 70, P78-88. (CCF B, 中科院2区)
查看论文[23] M. Meng, J. Xia, J. Luo, and Y. He. Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization. 2013, Computer-Aided Design, 45(2), P312-320. (CCF B, 中科院2区)
查看论文[24] L. Fan, M. Meng, L. Liu. Sketch-based mesh cutting: a comparative study. 2012, Graphical Models, 74(6), P292-301. (CCF B, 中科院4区)
查看论文[25] M. Meng, L. Fan, L. Liu. A comparative evaluation of foreground/background sketch-based mesh segmentation algorithms. 2011, Computer & Graphics, 35(3), P650-660. (CCF C, 中科院3区)
查看论文[26] M. Meng, L. Fan, L. Liu. iCutter: a direct cutout-tool for 3D shapes. 2011, Computer Animation & Virtual Worlds, 22(4), P335-342. (CCF C, 中科院4区)
查看论文会议论文
[1] J. He, M. Meng(通讯作者), J. Liu and J. Wu. Multi-scale Similarity Information Fusion Hashing for Unsupervised Cross-Modal Retrieval. Computer Graphics International (CGI), Jul, 2024. (CCF C)
查看论文[2] T. Liang, M. Meng(通讯作者), M. Lan, J. Yu and J. Wu. Group Correspondence: A Statistical Perspective for Incomplete Multi-View Clustering Augmentation. IEEE International Conference on Multimedia and Expo (ICME), Jul, 2022. (CCF B)
查看论文[3] Z. Wu, T. Liang, M. Meng(通讯作者), J. Liu, J. Yu and J. Wu. Triple Disentangling Network for Unsupervised Domain Adaptation. IEEE International Conference on Multimedia and Expo (ICME), Jul, 2022. (CCF B)
查看论文[4] H. Lin, M. Meng(通讯作者) and J. Wu. Online Robust Specific and Consistent Hashing. IEEE International Conference on Multimedia and Expo (ICME), Jul, 2022. (CCF B)
查看论文[5] R. Yang, M. Meng(通讯作者), J. Yu and J. Wu. Learning Controlled Semantic Embedding for Cross-Modal Retrieval. IEEE International Conference on Multimedia and Expo (ICME), Jul, 2021, P1-7. (CCF B)
查看论文[6] H. Wang, J. Wu, T. Liang and M. Meng(通讯作者). Stack-VAE Network for Zero-Shot Learning. International Conference on Neural Information Processing (ICONIP), 2021, pp. 250-261. (CCF C)
查看论文[7] H. Wang, M. Meng(通讯作者), H. Chen and J. Wu. Supervised Consistent and Specific Hashing. IEEE International Conference on Multimedia and Expo (ICME), Aug, 2019, P1822-1827. (CCF B)
查看论文[8] H. Wang, H. Chen, M. Meng(通讯作者) and J. Wu. Robust Multi-view Hashing for Cross-Modal Retrieval. IEEE International Conference on Multimedia and Expo (ICME), Aug, 2019, P1012-1017. (CCF B)
查看论文联系方式
📧 邮箱: [email protected]
🏢 办公室: 广东工业大学计算机系, 广东省广州市大学城