近日，中国电子学会公示了2022年中国电子学会优秀博士硕士学位论文名单，我指导的2021届毕业硕士生陈曼笙同学荣获中国电子学会优秀硕士学位论文奖！详细见中国电子学会微信公众号：https://mp.weixin.qq.com/s/JHQZRcIxI_UAtzjxX45i1w

这个奖励来自不易：当时申报的时候只有10篇一作英文期刊/会议论文，缺乏中文期刊代表作，本来不抱任何希望，但最后却荣获该殊荣。

陈曼笙同学2018年本科毕业于华南农业大学数学与信息学院，保研到中山大学计算机学院之后，非常刻苦努力学习和做研究！在硕士期间专注多视图聚类研究，做出了若干重要的研究成果，以第一作者身份发表10篇论文，即IEEE TKDE（CCF A）、IEEE TCYB（中科院一区）、IEEE TNNLS（中科院一区） 、Information Fusion（中科院一区）、DSE（CCF C，CCF发起的英文国际期刊）等国际期刊和KDD（CCF A）、AAAI（CCF A） 、ACM MM（CCF A） 、DASFAA（CCF B）、 PRCV（CCF C、中国人发起的权威会议）等国际会议。

天道酬勤！祝贺曼笙！

非常感谢中山大学计算机学院提供一流的科研环境和学生科研氛围！

---以下为摘抄自推荐表的代表性成果（学生整理，未按照重要度排序）---

攻读学位期间及获得学位后获得的与学位论文有关的成果

（包括学术论文(参评博士学位论文的作者需要至少发表过一篇国内期刊代表作至少包含一篇国内期刊论文)、专著、获奖项目、专利项目和制定的国内外标准等，不多于10项）

1. Man-Sheng Chen, Chang-Dong Wang*, Dong Huang, Jian-Huang Lai, and Philip S. Yu. Efficient Orthogonal Multi-view Subspace Clustering. In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’22, CCF A类, Acceptance rate 15%), Washington, USA, August 14-18, 2022.

2．Man-Sheng Chen, Tuo Liu, Chang-Dong Wang*, Dong Huang, and Jian-Huang Lai. Adaptively-weighted Integral Space for Fast Multiview Clustering. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM’22, CCF A类), Lisbon, Portugal, Oct. 10-14, 2022.

3．Man-Sheng Chen, Chang-Dong Wang*, and Jian-Huang Lai. Low-rank Tensor Based Proximity Learning for Multi-view Clustering. IEEE Transactions on Knowledge and Data Engineering (IF=6.977,中科院分区表2区), in press, 2022. DOI: 10.1109/TKDE.2022.3151861.

4. Man-Sheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang*, Dong Huang and Jian-Huang Lai. Representation Learning in Multi-view Clustering: A Literature Review. Data Science and Engineering (EI), 2022.

5. Man-Sheng Chen, Chang-Dong Wang*, Dong Huang and Jian-Huang Lai. Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. Pattern Recognition and Computer Vision - 5th Chinese Conference (PRCV’22, EI), Shenzhen, China, Oct. 14-17, 2022

6．Chang-Dong Wang*, Man-Sheng Chen, Ling Huang, Jian-Huang Lai and Philip S. Yu. Smoothness Regularized Multiview Subspace Clustering with Kernel Learning. IEEE Transactions on Neural Networks and Learning Systems (IF=11.683, 中科院分区表1区), Vol. 32, No. 11, pp. 5047-5060, Nov., 2021. 

7. Man-Sheng Chen, Ling Huang, Chang-Dong Wang*, Dong Huang and Philip S. Yu. Multiview Subspace Clustering with Grouping Effect. IEEE Transactions on Cybernetics (IF=11.079,中科院分区表1区), in press, 2020. DOI: 10.1109/TCYB.2020.3035043.

8. Man-Sheng Chen, Ling Huang, Chang-Dong Wang*, Dong Huang and Jian-Huang Lai. Relaxed Multi-view Clustering in Latent Embedding Space. Information Fusion (IF=13.669, 中科院分区表1区), Vol. 68, pp. 8-21, 2021.

9．Man-Sheng Chen, Ling Huang, Chang-Dong Wang* and Dong Huang. Multi-view Clustering in Latent Embedding Space. In Proc. of the 34th AAAI Conf. on Artificial Intelligence (AAAI'20, CCF A类, Acceptance rate 20.6%, Oral), New York, NY, USA, Feb. 7-Feb. 12, 2020, pp. 3513-3520.

10．Man-Sheng Chen, Ling Huang, Chang-Dong Wang*, and Dong Huang. Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-decomposition based Discretization. In Proc. of the 24th International Conference on Database Systems for Advanced Applications (DASFAA'19, CCF B类), Chiang Mai, Thailand, 22-25 April 2019, pp. 175-190.

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