Yihong Ma - RankMe

18 papers A* 3A 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery. CoRR Xiaobao Huang, Yihong Ma, Anjali Gurajapu, Jules Schleinitz, Zhichun Guo, Sarah E. Reisman, Nitesh V. Chawla
2025	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. ACM Comput. Surv. Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning. CoRR Jiayu Li, Masood Mortazavi, Ning Yan, Yihong Ma, Reza Zafarani
2024	—	`conf`	Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	J	`jnl`	Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	A*	`conf`	HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. WWW Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, Nitesh V. Chawla
2023	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. CoRR Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2023	J	`jnl`	Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows. IEEE Intell. Syst. Yihong Ma, Md Nafee Al Islam, Jane Cleland-Huang, Nitesh V. Chawla
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	J	`jnl`	HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. CoRR Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, Nitesh V. Chawla
2023	J	`jnl`	Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2022	A	`conf`	Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. CIKM Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
2022	A	`conf`	RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers. RE Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh V. Chawla, Jane Cleland-Huang
2022	J	`jnl`	RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers. CoRR Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh V. Chawla, Jane Cleland-Huang
2022	A*	`conf`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2020	J	`jnl`	Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2019	—	`conf`	A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography. EYRE@CIKM Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang