Yushun Dong

According to our database, Yushun Dong authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Learning Hierarchical Task Structures for Few-shot Graph Classification.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

ACM Trans. Knowl. Discov. Data, April, 2024

SD-Attack: Targeted Spectral Attacks on Graphs.

Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li

IEEE Trans. Knowl. Data Eng., October, 2023

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.

Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li

CoRR, 2023

Adversarial Attacks on Fairness of Graph Neural Networks.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

CoRR, 2023

Few-shot Node Classification with Extremely Weak Supervision.

Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

Yushun Dong, Jundong Li, Tobias Schnabel

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RELIANT: Fair Knowledge Distillation for Graph Neural Networks.

Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.

Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.

Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.

Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.

Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li

SIGKDD Explor., 2022

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Chen Chen, Jundong Li

CoRR, 2022

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.

Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.

Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Empowering Next POI Recommendation with Multi-Relational Modeling.

Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Contrastive Attributed Network Anomaly Detection with Data Augmentation.

Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.

Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On Structural Explanation of Bias in Graph Neural Networks.

Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Graph Neural Networks with Adaptive Frequency Response Filter.

Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li

CoRR, 2021

Individual Fairness for Graph Neural Networks: A Ranking based Approach.

Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.

Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network.

Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model.

Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019