CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

The Cycle-consistent Adversarial Semantics-Texture Learning For Image Synthesis In Internet Of Medical Things

Zhang J, Chen Z, Liu Y, et al. The Cycle-consistent Adversarial Semantics-Texture Learning For Image Synthesis In Internet Of Medical Things[J]. Journal of Applied Science and Engineering, 2024, 28(5): 1029-1040.

Deep Multiview Adaptive Clustering With Semantic Invariance

Gao J, Liu M, Li P, et al. Deep multiview adaptive clustering with semantic invariance[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(9): 12965-12978.

Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT

Gao J, Li P, Laghari A A, et al. Incomplete multiview clustering via semidiscrete optimal transport for multimedia data mining in IoT[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2024, 20(6): 1-20.

Deep Reinforcement Clustering

Li P, Gao J, Zhang J, et al. Deep Reinforcement Clustering[J]. IEEE Transactions on Multimedia, 2023, 25: 8183-8193.

A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation

Zhang J, Gao J, Chen Z, et al. A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation[C]//2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 3962-3967.

Multimodal Data Fusion

Chen Z, Zhao L, Li Q, et al. Multimodal Data Fusion[M]//Advances in Computing, Informatics, Networking and Cybersecurity: A Book Honoring Professor Mohammad S. Obaidat’s Significant Scientific Contributions. Cham: Springer International Publishing, 2022: 53-91.

A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine

Zhang X, Chen Z, Gao J, et al. A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine[J]. Knowledge-based systems, 2022, 239: 108060.

A deep non-negative matrix factorization model for big data representation learning

Chen Z, Jin S, Liu R, et al. A deep non-negative matrix factorization model for big data representation learning[J]. Frontiers in Neurorobotics, 2021, 15: 701194.

Multi-View Representation Learning via Dual Optimal Transportation

Li P, Gao J, Zhai B, et al. Multi-view representation learning via dual optimal transportation[J]. IEEE Access, 2021, 9: 144976-144984.

Semisupervised Deep Embedded Clustering with Adaptive Labels

Chen Z, Li C, Gao J, et al. Semisupervised deep embedded clustering with adaptive labels[J]. Scientific Programming, 2021, 2021(1): 6613452.

A Survey on Deep Learning for Multimodal Data Fusion

Gao J, Li P, Chen Z, et al. A survey on deep learning for multimodal data fusion[J]. Neural Computation, 2020, 32(5): 829-864.

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering

Li P, Chen Z, Gao J, et al. A deep fusion Gaussian mixture model for multiview land data clustering[J]. Wireless Communications and Mobile Computing, 2020, 2020(1): 8880430.

Research progress in data mining-based TCM diagnoses

Zhikui C, Xin S, Jing G, et al. Research progress in data mining-based TCM diagnoses[J]. Chinese J Traditional Chinese Med, 2020, 38(12): 1-9.

Privacy-preserving deep learning models for law big data feature learning

Yuan X, Zhang J, Chen Z, et al. Privacy-preserving deep learning models for law big data feature learning[C]//2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2019: 128-134.

Talks

Teaching

Service and leadership

• Currently signed in to 43 different slack teams