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Yushun Dong
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2020 – today
- 2024
- [j3]Song Wang
, Yushun Dong
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18(3): 67:1-67:20 (2024) - [c28]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c27]Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li:
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs. EMNLP (Findings) 2024: 7079-7096 - [c26]Binchi Zhang
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR 2024 - [c25]Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. ICML 2024 - [c24]Yushun Dong
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD 2024: 621-630 - [c23]Zhixun Li
Rethinking Fair Graph Neural Networks from Re-balancing. KDD 2024: 1736-1745 - [c22]Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li:
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) 2024: 352-363 - [c21]Yushun Dong
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) 2024: 1019-1022 - [i26]Song Wang, Yushun Dong, Binchi Zhang
Safety in Graph Machine Learning: Threats and Safeguards. CoRR abs/2405.11034 (2024) - [i25]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i24]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - [i23]Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR abs/2407.11624 (2024) - [i22]Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li:
A Benchmark for Fairness-Aware Graph Learning. CoRR abs/2407.12112 (2024) - [i21]Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR abs/2407.19398 (2024) - [i20]Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li:
Towards Certified Unlearning for Deep Neural Networks. CoRR abs/2408.00920 (2024) - [i19]Xihao Piao, Zheng Chen, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai:
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting. CoRR abs/2410.01860 (2024) - [i18]Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li:
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction. CoRR abs/2410.15165 (2024) - 2023
- [j2]Yushun Dong
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35(10): 10583-10602 (2023) - [c20]Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI 2023: 7441-7449 - [c19]Yucheng Shi
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM 2023: 2259-2269 - [c18]Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI 2023: 225-234 - [c17]Jihong Wang
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD 2023: 2349-2360 - [c16]Yushun Dong
Fairness in Graph Machine Learning: Recent Advances and Future Prospectives. KDD 2023: 5794-5795 - [c15]Yushun Dong, Binchi Zhang
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM 2023: 154-162 - [c14]Yushun Dong
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? SIGIR 2023: 942-952 - [c13]Song Wang
Few-shot Node Classification with Extremely Weak Supervision. WSDM 2023: 276-284 - [i17]Yushun Dong, Binchi Zhang
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR abs/2301.01150 (2023) - [i16]Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. CoRR abs/2301.02708 (2023) - [i15]Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR abs/2305.01761 (2023) - [i14]Yushun Dong, Jundong Li, Tobias Schnabel:
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? CoRR abs/2305.01801 (2023) - [i13]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR abs/2308.09663 (2023) - [i12]Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR abs/2310.13822 (2023) - [i11]Yushun Dong, Binchi Zhang
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR abs/2311.02757 (2023) - 2022
- [j1]Xingbo Fu, Binchi Zhang
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. SIGKDD Explor. 24(2): 32-47 (2022) - [c12]Song Wang, Yushun Dong, Xiao Huang, Chen Chen
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI 2022: 2284-2290 - [c11]Yushun Dong, Song Wang, Yu Wang, Tyler Derr
On Structural Explanation of Bias in Graph Neural Networks. KDD 2022: 316-326 - [c10]Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li:
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks. KDD 2022: 1625-1634 - [c9]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: 1938-1948 - [c8]Zhiming Xu, Xiao Huang
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) 2022: 444-457 - [c7]Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li:
Empowering Next POI Recommendation with Multi-Relational Modeling. SIGIR 2022: 2034-2038 - [c6]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW 2022: 1259-1269 - [c5]Jing Ma
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. WWW 2022: 2678-2686 - [i10]Yushun Dong, Jing Ma, Chen Chen, Jundong Li:
Fairness in Graph Mining: A Survey. CoRR abs/2204.09888 (2022) - [i9]Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li:
Empowering Next POI Recommendation with Multi-Relational Modeling. CoRR abs/2204.12288 (2022) - [i8]Song Wang, Yushun Dong, Xiao Huang
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR abs/2205.02435 (2022) - [i7]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR abs/2206.03426 (2022) - [i6]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. CoRR abs/2206.12104 (2022) - [i5]Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li:
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. CoRR abs/2207.11812 (2022) - [i4]Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR abs/2211.14383 (2022) - 2021
- [c4]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM 2021: 392-401 - [c3]Yushun Dong, Jian Kang
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD 2021: 300-310 - [i3]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
Graph Neural Networks with Adaptive Frequency Response Filter. CoRR abs/2104.12840 (2021) - [i2]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 abs/2106.01315 (2021) - [i1]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR abs/2108.05233 (2021)
2010 – 2019
- 2019
- [c2]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: 1953-1962 - [c1]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: 88-100
Coauthor Index
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last updated on 2024-12-01 00:12 CET by the dblp team
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