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Dongdong Chen

陈东东




Dongdong Chen is currently a Post-doctoral Research Associate in Computational Sensing and Machine Learning at the Institute for Digital Communications in the University of Edinburgh, Edinburgh, UK. He is directed by Prof. Mike E Davies. He received his Ph.D. degree from Sichuan University in 2017, under the supervision of Prof. Jiancheng Lv. His research interests mainly lie in machine learning, especially for subspace learning and unsupervised representation learning, his current interests mainly focus on deep learning and its application in computer vision and signal processing.

Contact

  • Mailing: Institute for Digital Communications (IDCOM), School of Engineering, University of Edinburgh, The King's buildings, Edinburgh, EH9 3JL, UK.

  • Office: Rm 201.A11, Alexander Graham Bell Building, Thomas Bayes Road, Edinburgh, EH9 3JL.

  • Email: D.Chen@ed.ac.uk or dongdongchen.scu@gmail.com

  • News

  • One paper on deep learning and subspace learning was accepted by the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), April 5, 2017.

  • One paper on deep learning and subspace clustering was accepted by AAAI 2017 , the conference was held in 4–9th, February, 2017, San Francisco, CA, USA.

  • One paper related to outlier detection won the Outstanding Student Paper Award of IES 2014, the conference was held in 10-12th, November, 2014, Singapore.

  • One paper on subspace structure preservation was accepted by AAAI 2014, the conference was held in 27-31th, July, 2014, Quebec City, Canada.


  • Publications

    Journal Article

  • Dongdong Chen, Jian Cheng Lv, Zhang Yi, Graph regularized Restricted Boltzmann Machines, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2017.2692773, 2017.[PDF]

  • Dongdong Chen, Jian Cheng Lv, Zhang Yi, Manifold Structure Preserving Embedding using Local Non-negative Pursuit, Artificial Intelligence Journal (AI, major revision), 2017.

  • Dongdong Chen, Jiancheng Lv, Jing Yin, Haixian Zhang, Xiaojie Li, Angle-based Embedding Quality Assessment Method for Manifold Learning, Neural Computing & Applications (NCAA), DOI: 10.1007/s00521-017-3113-6, 2017.[PDF]

  • Conference Paper

  • Dongdong Chen, Jiancheng Lv, Zhang Yi, Unsupervised Multi-Manifold Clustering by Learning Deep Representation, In Workshops at the 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA. 2017. [PDF] [OR] [BibTex]

  • Dongdong Chen, Jian Cheng Lv, Zhang Yi, A Local Non-negative Pursuit Method for Intrinsic Manifold Structure Preservation, In Proceddings of The 28th AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, 2014. [PDF] [OR] [CODE] [BibTex]

  • Xiaojie Li, Jian Cheng Lv, Dongdong Chen, Angle-based Outlier Detection Algorithm with More Stable Relationships, The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES-2014), Singapore (Outstanding Student Paper Award) , 2014. [PDF] [BibTex]

  • Benjun Guo, Peng Wang, Dongdong Chen, Gaoyun Chen, Decide by Information Enthalpy Based on Intelligent Algorithm, Information Technology and Applications, (IFITA'09), Chengdu, China, 2009. [PDF] [BibTex]

  • Benjun Guo, Dongdong Chen, Jian Huang, Peng Wang, Intelligent Algorithms Analysis and Judgements Based on Thermodynamics, International Symposium on Web Information Systems and Applications, (WISA'09), Nanchang, China, 2009. [PDF] [OR] [BibTex]

  • Honors and Awards

  • 2017, SCF-2017 Outstanding Student Paper warded by SCF

  • 2014, National Scholarship (Top 0.2% students in Chinese universities, awarded by the Ministry of Education)

  • 2014, Outstanding Student Paper Awarded by IES 2014

  • 2012~2014, second-class Scholarship of SCU

  • 2010, Excellent Graduation Thesis of CUIT (bachelor degree)
  • Academic Activities

  • Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

  • Reviewer of IEEE Transactions on Cybernetics (TCYB)

  • Reviewer of Information Sciences (INS)

  • Student Member of IEEE

  • Member of IEEE Computational Intelligence Society (CIS)

  • Patents

  • An identification method based on subspace learning and sparse encoding (基于子空间学习与稀疏编码的真迹鉴定方法). Application number: 201410664778, 2014/11/19


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    Updated on 30th-DEC-2017