陳俊龍 Tanny, Dave

  • 學歷:中原大學化工碩士

  • 碩士論文題目:Developing Semi-Supervised Variational Autoencoder/ Generative Adversarial Network for Static and Dynamic Nonlinear Process Soft Sensor model

  • 碩士班 109級畢

  • 博士研究方向:Dynamic Semi-supervised VAE



  • S. K. Ooi, D. Tanny, J. Chen, and K. Wang, Developing Semi-supervised Variational Autoencoder-Generative Adversarial Network Models to Enhance Quality Prediction Performance, Chemometer Intell. Lab., 2021.  (Accepted)
  • Y.-S. Lee, O. S. Kit, D. Tanny and J. Chen, Maintaining Soft-Sensor Models Using Latent Dynamic Variational Autoencoders, 11th International Symposium on Advanced Control of Chemical Processes (ADCHEM), July 13-16, 2021, Venice, Italy. (Virtual) (Accepted)

  • D. Tanny and J. Chen, Developing Dynamic Soft Sensor Based Variational Autoencoders, 9th The International Symposium on Design, Operation & Control of Chemical Processes (PSE Asia 2019), Nov. 4-6, 2020, Taipei. (Virtual)

  • D. Tanny, J. Chen and K. Wang, Developing Variational Autoencoders with Differential Entropy Soft Sensor Models for Nonlinear Processes, 21st IFAC World Congres, July 12-17, 2020, Berlin, Germany. (Virtual)

  • Y.-S. Lee, O.-S. Kit, D. Tanny, L. L. T. Chan and J. Chen, Reducing Energy Cost of Absorber-Stripper CO2 Capture Process through Economic Neural Network Model Predictive Control, 6th International Symposium on Process Intensification, Nov. 7-8, 2018, Taipei, Taiwan.