Yushun Dong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 52

Top Topics

Frequency Response

Substructure Discovery

Top Venues

Publications

Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR (2024)
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR (2024)
Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR (2024)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) (2024)
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
Safety in Graph Machine Learning: Threats and Safeguards. CoRR (2024)
Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD (2024)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR (2024)
Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) (2024)
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
A Benchmark for Fairness-Aware Graph Learning. CoRR (2024)
Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
Rethinking Fair Graph Neural Networks from Re-balancing. KDD (2024)
Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) (2024)
Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD (2023)
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR (2023)
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM (2023)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR (2023)
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
Few-shot Node Classification with Extremely Weak Supervision. WSDM (2023)
Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD (2023)
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
Few-shot Node Classification with Extremely Weak Supervision. CoRR (2023)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR (2023)
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR (2023)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM (2023)
Yushun Dong, Jundong Li, Tobias Schnabel
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? SIGIR (2023)
Yushun Dong, Jundong Li, Tobias Schnabel
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? CoRR (2023)
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI (2023)
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
Empowering Next POI Recommendation with Multi-Relational Modeling. CoRR (2022)
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR (2022)
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. WWW (2022)
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR (2022)
Yushun Dong, Jing Ma, Chen Chen, Jundong Li
Fairness in Graph Mining: A Survey. CoRR (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD (2022)
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI (2022)
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. 24 (2) (2022)
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
On Structural Explanation of Bias in Graph Neural Networks. CoRR (2022)
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. CoRR (2022)
Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) (2022)
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW (2022)
Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
Empowering Next POI Recommendation with Multi-Relational Modeling. SIGIR (2022)
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
On Structural Explanation of Bias in Graph Neural Networks. KDD (2022)
Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks. KDD (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR (2022)
Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD (2021)
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
Graph Neural Networks with Adaptive Frequency Response Filter. CoRR (2021)
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. CoRR (2021)
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR (2021)
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM (2021)
Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li
Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network. IOV (2019)
Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du
Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. CIKM (2019)