A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography. - Yihong Ma; Qingkai Zeng 001; Tianwen Jiang; Liang Cai; Meng Jiang 001 (EYRE@CIKM, 2019)

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. - Yihong Ma; Patrick Gérard; Yijun Tian 001; Zhichun Guo; Nitesh V. Chawla (CIKM, 2022)

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. - Yijun Tian 001; Chuxu Zhang; Zhichun Guo; Yihong Ma; Ronald A. Metoyer; Nitesh V. Chawla (IJCAI, 2022)

RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers. - Md Nafee Al Islam; Yihong Ma; Pedro Alarcon Granadeno; Nitesh V. Chawla; Jane Cleland-Huang (RE, 2022)

Graph-based Molecular Representation Learning. - Zhichun Guo; Kehan Guo; Bozhao Nan; Yijun Tian 001; Roshni G. Iyer; Yihong Ma; Olaf Wiest; Xiangliang Zhang 001; Wei Wang 010; Chuxu Zhang; Nitesh V. Chawla (IJCAI, 2023)

Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows. - Yihong Ma; Md Nafee Al Islam; Jane Cleland-Huang; Nitesh V. Chawla (IEEE Intell. Syst., 2023)

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. - Yihong Ma; Xiaobao Huang; Bozhao Nan; Nuno Moniz; Xiangliang Zhang 001; Olaf Wiest; Nitesh V. Chawla (WWW (Companion Volume), 2024)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. - Yihong Ma; Ning Yan; Jiayu Li 002; Masood S. Mortazavi; Nitesh V. Chawla (WWW, 2024)

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning. - Jiayu Li 002; Masood Mortazavi; Ning Yan; Yihong Ma; Reza Zafarani (CoRR, 2025)

ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery. - Xiaobao Huang; Yihong Ma; Anjali Gurajapu; Jules Schleinitz; Zhichun Guo; Sarah E. Reisman; Nitesh V. Chawla (CoRR, 2025)

Class-Imbalanced Learning on Graphs: A Survey. - Yihong Ma; Yijun Tian 001; Nuno Moniz; Nitesh V. Chawla (ACM Comput. Surv., 2025)