I am a Ph.D student in Stevens Institute of Technology under the supervison of Prof.K.P.(Suba)Subbalakshmi. I also obtained a M.S degree in Applied Artificial Intelligence at Stevens Institute of Technology. Before that I received my M.S degree in Multimedia Telecommunication at University of Liverpool and was a member of LCCAT Lab, directed by Prof.Qiufeng Wang and Prof.Kaizhu Huang. I received my B.Eng degree in Department of Electrical Engineering & Electronics at Xi’an Jiaotong-Liverpool University.

In General, I’m interested in Natural Language Processing, Multimodal and Deep Learning. Specially, I have the research/project experience in Misinformation Detection, Mental Healthcare, Generative Model for Tabular Data, Scene text classification and recognition.

Education

• Stevens Institute of Technology, 2021 - 2025 (expected)
  • Ph.D in Computer Engineering
• Stevens Institute of Technology, 2019 - 2021
  • M.S. in Applied Artifical Intelligence
• University of Liverpool, 2017 - 2019
  • M.S. in Multimedia Telecommunication (Merit)
• Xi’an Jiaotong-Liverpool University, 2013 - 2017
  • B.Eng. (Honours) in Telecommunication Engineering

Awards

• Provost Doctoral Fellowship Award, 2021-2025
• Best Master Thesis Award, 2021.5
• ECE 2020 Honours Summer Research Program 3rd Award, 2020.8

Professional Experience

• Research Fellowship, Stevens Institute of Technology, 2021.09 - Now
  • Infinity Lab @ Stevens
• Thesis Student, Stevens Institute of Technology, 2020.09 - 2021.06
  • Infinity Lab @ Stevens
  • Supervisor: Prof. Suba and Prof. Mouli
• Research Assisstant, Xi’an Jiaotong-Liverpool University, 2019.01 - 2019.08
  • Laboratory of Cognitive Computation and Applied Technology
  • Supervisor: Prof. Qiufeng Wang and Prof. Kaizhu Huang

Selected Publications

• Causal-TGAN: Modeling Tabular Data Using Causally-Aware GAN
  B Wen, Y Cao, F Yang, K Subbalakshmi, R Chandramouli
  ICLR 2022 Workshop on Deep Generative Models for Highly Structured Data
  

• Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data
  N Wang, Y Cao, S Hao, Z Shao, KP Subbalakshmi
  Interspeech 2021, 3835-3839
  

• Improving script identification by intergating text recognition information
  Y Cao, J Li, QF Wang, K Huang, R Zhang
  26th International Conference on Neural Information Processing.
  

Skills

• Languages
  • Mandarin (Native), English (Fluent)
• Programming Language
  • Python, C/C++, CUDA C/C++, Assembly, MATLAB
• Deep Learning Framework
  • PyTorch = Keras > Tensorflow2.x > Tensorflow1.x > Caffee
• Tools
  • Linux, LaTeX, Git, Vim, Shell