Meng Min

Associate professor at Guangdong University of Technology

About Me

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
My research interest includes image processing, machine learning, pattern recognition and computer graphics.

Education

2006.09-2011.06, 浙江大学应用数学博士

2002.09-2006.06, 郑州大学信息与计算科学学士

Work Experiences

2016.06 - 至今广东工业大学计算机学院副教授

2013.09-2016.06 新加坡理工学院机械与航天工程学系研究员

2011.09-2013.08 新加坡南洋理工大学计算机科学与工程学院博士后

Research Fundings

国家自然科学基金面上项目，“面向分层标签数据的跨媒体检索关键技术研究”（62172109）(主持)

国家自然科学基金青年项目，“基于低秩表示的高精度跨模态形状检索研究”（61702114）(主持)

广东省自然科学基金面上项目，“跨域迁移学习关键技术研究”（2022A1515010322）(主持)

广东省自然科学基金面上项目，“视觉问答关键技术研究”（2020A1515011361）(主持)

Publication

[1] 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)
[2] 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)
[3] M. Meng and J. Yu. Zero-Shot Learning via Robust Latent Representation and Manifold Regularization. *IEEE Transactions on Image Processing*, Apr. 2019, 28(4): 1824-1836. (CCF A, 中科院1区)
[4] M. Meng, M. Lan, J. Yu and J. Wu, L. Liu. Dual-Level Adaptive and Discriminative Knowledge Transfer for Cross-Domain Recognition. *IEEE Transactions on Multimedia*, 2022, doi:10.1109/TMM.2022.3145235. (CCF B, 中科院1区)
[5] 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*, 2022, 32(8), pp. 5481-5494. (CCF B, 中科院1区)
[6] 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)
[7] M. Lan, M. Meng(#), J. Yu and J. Wu. Generalized Multi-view Collaborative Subspace Clustering. *IEEE Transactions on Circuits and Systems for Video Technology*, 2022, 32(6), pp. 3561-3574. (CCF B, 中科院1区)
[8] 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)/li>
[9] 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)
[10] M. Meng, Jie Wei and J. Wu. Learning Multipart Attention Neural Network for Zero-Shot Classification. *IEEE Transactions on Cognitive and Developmental Systems,* Jun., 2022, 16(2), pp. 414-423. (中科院3区)
[11] Z. Wu, M. Meng(#), T. Liang and J. Wu. Hierarchical Triple-Level Alignment for Multiple Source and Target Domain Adaptation. *Applied Intelligence*, 2023, 53, pp. 3766-3782. (CCF C, 中科院2区)
[12] M. Meng, X. Zhan and J. Wu. Joint Discriminative Attributes and Similarity Embeddings Modeling for Zero-shot Recognition. *Neurocomputing*, 2020, vol. 399, pp. 117-128. (CCF C, 中科院2区)
[13] 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)
[14] J. Guan, M. Meng(#), T. Liang, J. Liu and J. Wu. Dual-level Contrastive learning Network for Generalized Zero-Shot Learning. *The Visual Computer*, 2022, doi: 10.1007/s00371-022-02539-6. (CCF C, 中科院3区)
[15] Z. Wu, M. Meng(#) 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)
[16] 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)
[17] 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)
Conference Paper (# Corresponding author)
[1] T. Liang, M. Meng(#), 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)
[2] Z. Wu, T. Liang, M. Meng(#), 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)
[3] H. Lin, M. Meng(#) and J. Wu. Online Robust Specific and Consistent Hashing. *IEEE International Conference on Multimedia and Expo (ICME)*, Jul, 2022. (CCF B)
[4] R. Yang, M. Meng(#), 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)
[5] H. Wang, M. Meng(#), H. Chen and J. Wu. Supervised Consistent and Specific Hashing. *IEEE International Conference on Multimedia and Expo (ICME)*, 2019. (CCF B)
[6] H. Wang, H. Chen, M. Meng(#) and J. Wu. Robust Multi-view Hashing for Cross-Modal Retrieval. *IEEE International Conference on Multimedia and Expo (ICME)*, 2019. (CCF B)