Research

(W10) Zhihang Dong ”Maximum Entropy Inverse Reinforcement Learning Identifying Multiple Layers of Human Interactions” Technical Report
(W9) Q. Yu, Z. Dong, Y. Li, ”MetaRec: A Meta-Learning Framework for Improved Antimicrobial Peptide Recognition”
(S8) ”A Multi-Modal Learning Framework for Classical Music Auto-completion and Genre Identification” Manuscript Submitted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021).
(S7) Zhihang Dong “Aspect-Aware Conversation Sentiment Models” Manuscript Submitted to 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021).
(J6) Nora Kenworthy, Zhihang Dong, A. Montgomery, E. Fuller, L. Berliner (2020) ”A cross-sectional study of social inequities in medical crowdfunding campaigns in the United States” Accepted to: PLoS ONE [Preprint].
(W5) Dong, Zhihang, Birjal, A., Yan, X. ”Solving Complex Network Link Prediction Problems using Auxiliary Graphs” (Microsoft Internship Project)
(P4) T. Wu, Zhihang Dong, S. Song and M. Zhang (2020) “Interactive Attention Model Explorer for NLP Tasks with Unbalanced Data Sizes” Accepted: The 13th IEEE Pacific Visualization Symposium (PacificVis 2020) [Full Paper].
(J3) Zhihang Dong, A. Dobra and Y. Chen (2019) “A statistical framework for measuring the temporal stability of human mobility patterns”. Accepted to: Journal of Applied Statistics [Full Paper].
(P2) — (2017). “Estimation and Extrapolation of Spatial Trends in Mortality Data using Bayesian APC Modeling”. Accepted to International Conference on Population Geography.
(P1) — (2016). “Theorizing Urban Neighborhoods: Mapping the Interneighborhood and Intraneighborhood Networks and Criminogenic Factors on Street Crime Victimization”. Accepted to American Society of Criminology Annual Meeting.