Hua Shen

Hua Shen 申华

Ph.D Student @PennState

Codes        Google Scholar        @SarahHShen1       


Currently, I am a third-year Ph.D. student in IST College at PennState University, I am fortunate to be advised by Dr. Ting-hao (Kenneth) Huang at amazing CrowdAI Lab. I received my M.S. in School of Information at the Renmin University of China, advised by Dr. Xun Liang. I received my B.S. in Information Security at the University of Science and Technology Beijing.

In 2021 summer, I am an applied scientist intern at Amazon Alexa AI working on fairness in speaker verification with amazing supervisors Dr. Yuguang Yang, Dr. Andreas Stolcke, Dr. Jasha Droppo, Dr. Christine Han, etc. I also appreciate the time working with Prof. Ting Wang at PennState and the wonderful year working with Prof. Brian D. Davison from Lehigh University.


I am broadly interested in the area of human interaction with AI machine. My current research interests lie in facilitating the usefulness of ethical AI techniques from human-centered perspective. I'm particularly interested in improving human-centered AI interpretability and fairness in speech and natural language processing, conversational AI, and other deep learning fields.

  • Apr-2022 I'm attending CHI'22 in person. Looking forward to hanging out with my old and new friends in New Orleans!
  • Feb-2022 Our short paper, Are Shortest Rationales the Best Explanations for Human Understanding? is accepted by ACL 2022 main conference. Thank you, my co-authors and advisor!
  • Jan-2022 Our paper, Improving Fairness in Speaker Verification via Group-adapted Fusion Network is accepted by ICASSP 2022. Thank you to all my advisors!
  • Aug-2021 I am fortunately nominated for Microsoft Research PhD Fellowship by the office of the department chair at The PennState University. Thank you!
  • May-2021 Our paper on analyzing gaps between user needs and NLP explanations is accepted by CHI'21 HCXAI Workshop as an oral presentation. Our Paper and the Website are available!
  • Mar-2021 I will join Amazon Alexa Speech research group as an Applied Scientist Intern in 2021 summer! I appreciate everyone who helped me and look forward to joining the research team to learn!
  • Feb-2021 I serve as a PC member of the NLP Interpretability Track for ACL-IJCNLP 2021. Grateful to my First-time ACL reviewer mentor, Dr. Marco Tulio Ribeiro, Thank you, ACL'21!
  • Feb-2021 PennState IST award for Graduate Student Travel Grant on our AI Interpretation work. Thank you, IST!
  • Oct-2020 Penn State News wrote a nice post about our AI Interpretation work. Thank you, PennState!
  • Oct-2020 Our paper on usefulness evaluatation for AI interpretations is accepted by HCOMP 2020! I will present our work with a talk at HCOMP on Oct 28, 2020.
  • May-2020 I passed the Ph.D. Qualifying Exam of IST College at PennState!