1. Reviewer: Applied Soft Computing, ISSN: 1568-4946, Elsevier Journal
  2. Reviewer: Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop at the Genetic and Evolutionary Computation Conference (GECCO 2019), July 13-17, 2019, Prague, Czech Republic
  3. Reviewer: 2019 IEEE Congress on Evolutionary Computation (CEC'19), June 10-13, 2019 in Wellington, New Zealand.
  4. Reviewer: Special Session on Benchmarking of Evolutionary Algorithms for Discrete Optimization (BEADO) at the 2019 IEEE Congress on Evolutionary Computation (CEC'19), June 10-13, 2019 in Wellington, New Zealand.

1. Work Experience

  • Researcher
    • When: since 2018 (ongoing)
    • Where: Institute of Applied Optimization [应用优化研究所], School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥学院] in Hefei [合肥], Anhui [安徽], China [中国]
    • What: industry collaboration, research, teaching, and supervising students

2. Education and Training


Here you can find a compilation of my scientific publications.

international journal articles

  • Yan Chen, Ming Tan, Jiahua Wan, Thomas Weise, and Zhize Wu. Effectiveness Evaluation of the Coupled LIDs from the Watershed Scale based on Remote Sensing Image Processing and SWMM Simulation. European Journal of Remote Sensing (TEJR), 2020. Accepted for publication, in production.
    Indexing: EI, SCIE, 4区

  • Thomas Weise, Yan Chen, Xinlu Li, and Zhize Wu. Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms. Applied Soft Computing Journal (ASOC), Accepted for publication and in press. Available online 6 April 2020, 106269.
    doi:10.1016/j.asoc.2020.106269, freely online available until June 4, 2020
    Indexing: EI, WOS, ESCI, 1区

  • Zhi-Ze Wu, Shou-Hong Wan, Xiao-Feng Wang, Ming Tan, Le Zou, Xin-Lu Li, and Yan Chen. A Benchmark Data Set for Aircraft Type Recognition from Remote Sensing Images. Applied Soft Computing Journal (ASOC). 89:106132. April 2020.
    Indexing: EI, WOS, ESCI, 1区

  • Zhize Wu, Shouhong Wan, L. Yan, and Lihua Yue. Autoencoder-based Feature Learning from 2D Depth Maps and 3D Skeleton for Action Recognition. Journal of Computers 29(4):82-95, August 2018.
    doi:10.3966/199115992018082904007 / pdf
    Indexing: EI

  • Zhize Wu, Miao Zhang, Shouhong Wan, and Lihua Yue. A New Multiple Instance Learning Algorithm based on Instance-Consistency. International Journal of Performability Engineering 13(4):519–529, July 2017
    doi:10.23940/ijpe.17.04.p19.519529 / pdf

conference papers

  • Miao Zhang, Zhize Wu, Shouhong Wan, Lihua Yue, and Bangjie Yin, Multi-Instance Learning based on Instance Consistency for Image Retrieval, In Charles M. Falco and Xudong Jiang, editors, Proceedings of the Ninth International Conference on Digital Image Processing (ICDIP 2017), May 19-22, 2017, Hong Kong, China, pages 104204J. Proceedings Volume 10420, Bellingham, WA, USA: Society of Photo-Optical Instrumentation Engineers (SPIE)
    Indexing: EI:20174104254974

  • Yunhao Zhao, Shouhong Wan, Zhize Wu, Bangjie Yin, and Lihua Yue. Multi-Scale and Multi-GMM Pooling Based on Fisher Kernel for Image Representation. Proceedings of the Eighth International Conference on Digital Image Processing (ICDIP 2016). May 20-22, 2016, Chengu, China, pages 100334V. Proceedings Volume 10033, ISBN: 978-1510605039, Bellingham, WA, USA: Society of Photo-Optical Instrumentation Engineers (SPIE)
    Indexing: EI:20164903101533

  • Haiyang Zhang, Shouhong Wan, Lihua Yue, Zhize Wu, and Yunhao Zhao. A New Fast Object Detection Architecture Combing Manually-Designed Feature and CNN. In Proceedings of the 8th International Congress on Image and Signal Processing (CISP'15), October 14-16, 2015, Shenyang, China, pages 572–577. ISBN: 978-1-4673-9098-9, IEEE
    Indexing: EI:20162002391466, WOS:000380502000105

  • Zhize Wu, Shouhong Wan, Peiquan Jin, and Lihua Yue. Discriminative Feature Learning with Constraints of Category and Temporal for Action Recognition. In Yu-Jin Zhang, editor, Proceedings of the 8th International Conference on Image and Graphics (ICIG 2015), Part II, August 13-16, 2015, Tianjin, China, pages 173–184. Lecture Notes in Computer Science (LNCS) volume 9218, Springer. ISBN: 978-3-319-21962-2
    Indexing: EI:20154201380936

  • Zhize Wu, Shouhong Wan, Lihua Yue, and Ruoxin Sang. Discriminative Image Representation for Classification. In Jeng-Shyang Pan, Vaclav Snasel, Emilio S. Corchado, Ajith Abraham, and Shyue-Liang Wang, editors, Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, Volume II, June 13-15, 2014, Shenzhen, China, pages 331–341. Advances in Intelligent Systems and Computing (AISC), volume 298, Springer, Cham. ISBN–978-3-319-07772-7.
    Indexing: EI:20151900835335


  • Zhize Wu, Thomas Weise, Le Zou, Fei Sun, and Ming Tan. Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information. Preprint available at arXiv:2003.05684v1 [cs.CV] 12 Mar 2020.

  • Thomas Weise, Zhize Wu, Xinlu Li, and Yan Chen. Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function. Submitted to IEEE Transactions on Evolutionary Computation in January 2020. Preprint available at arXiv:2001.01416v2 [cs.NE] 7 Jan 2020.
    pdf / paper@arxiv / experimental results and source code data set @ doi:10.5281/zenodo.3598171

You may use the following electronic methods to contact me:

Contact: Dr. Zhize Wu [吴志泽]
Mobile Phone: +86 151 5689 9179 [手机]
Email: This email address is being protected from spambots. You need JavaScript enabled to view it. [电邮]
Website: Dr. Zhize Wu [网页]
WeChat: jacob_xiaoze
Portrait of Prof. Dr. Thomas Weise.

I am Dr. Zhize Wu [吴志泽], researcher at the Institute of Applied Optimization [应用优化研究所] of the School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥学院]. Before joining in this institute, I received my Ph.D. Candidate from the School of Computer Science and Technology (SCST) of the University of Science and Technology of China (USTC) [中国科学技术大学] in 2017. I mainly study Image Processing, Neural Network, and Machine Learning.