Ph.D. Candidate at Syracuse University, School of information studies,
in Information Science and Techology
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
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.
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.
Syracuse University, Feb 2020.
A Python package for estimating gender and ethnicity using deep learning transformers
Analyzing biases in AI models using Psychophysics
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