Curriculum vitae

Ph.D. Candidate at Syracuse University, School of information studies,
in Information Science and Techology

Publications#

Journal

Ke Q.,Liang L, Ding Y., David S.V., Acuna D.E., (2022), A dataset of mentorship in science with semantic and demographic estimations. Scientific Data

Long Conference Paper

Acuna D. E., Liang L., (2021), Are AI ethics conferences different and more diverse compared to traditional computer science conferences? AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 2021

Liang L., Acuna D.E., (2020), Artificial Mental Phenomena: Psychophysics as a Framework to Detect Perception Biases in AI Models. ACM Fairness Acountability Trancparency (FAT) 2020

Short Conference Paper

Acuna D.E., Yi Z., Liang L., Zhuang H., (2021), Predicting the usage of scientific datasets based on article, author, institution, and journal bibliometrics. International Conference on Information

Sang Y., Liang L., Stanton J., (2021), Content Moderation of Speech in Political Discussions, In Association for Information Science and Technology, Salt Lake, Utah, USA

Liang L., Acuna D.E., (2020), Don’t Judge a Journal by its Cover? Appearance of a Journal’s Website as Predictor of Blacklisted Open-Access Status, In Association for Information Science and Technology, Maryland, USA

Extended Abstract

Covington L., Zhuang H., Liang L., Acuna D.E., (2022), Defining innovation in science and automating its production through knowledge graphs. In International Conference on Computational Social Science, Chicago, IL, USA

Introne J., Das D., Kumar A., Liang L., (2022), Mapping Belief Landscapes in Social Media. In International Conference on Computational Social Science, Chicago, IL, USA

Liang L., Acuna D.E., (2020), Are author, affiliation, and citation networks predictive of a journal getting blacklisted?. In International Conference on Computational Social Science, Cambridge, MA, USA

Honors & Awards#

iSchool Summer Doctoral Research Funding Competition (Winner)
Syracuse University April 2022.

Amy E. Everett Memorial Award for Ethics in Information Management
Syracuse University May 2020.

Travel Award FAT 2020 Conference
Barcelona, Spain Dec 2019.

Invited Talks#

Science of Science Summer School
Science of Science and Computation Discovery Lab, Aug 2021 & Aug 2022.

Machine Learning and Artificial Intelligence for Science of Science and Computational Discovery: Principles, Applications, and Future Opportunities
iConference Workshop, Feb 2021.

TEDxSyracuseUniversity
Syracuse University, Feb 2020.

Software#

Demographicx
A Python package for estimating gender and ethnicity using deep learning transformers

psycho_ai
Analyzing biases in AI models using Psychophysics

Previous Education#

Syracuse University, School of information studies,
Master of Science in Information Management
with Certificate of Advanced Study in Data Science
Syracuse, New York, May 2020

South China Agricultural University, College of Mathematics and Informatics,
Bachelor of Science in Information and Computing Science
Guangzhou, Guangdong, Jun 2018