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Yazheng Liu
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2020 – today
- 2025
- [c6]Yazheng Liu, Sihong Xie:
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges. ICLR 2025 - 2024
- [i4]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR abs/2403.06425 (2024) - 2023
- [j2]Mengzhu Sun
, Xi Zhang
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12736-12749 (2023) - [j1]Zhiwu Xu
Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming. IEEE Trans. Reliab. 72(3): 1191-1205 (2023) - [c5]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR 2023 - [i3]Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu:
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR abs/2306.02137 (2023) - 2022
- [c4]Yazheng Liu, Xi Zhang, Sihong Xie:
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. IEEE Big Data 2022: 4681-4690 - 2021
- [c3]Mengzhu Sun, Xi Zhang, Jianqiang Ma, Yazheng Liu:
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection. EMNLP (Findings) 2021: 1412-1423 - [c2]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. ICDM 2021: 409-418 - [i2]Yazheng Liu, Xi Zhang, Sihong Xie:
Explaining GNN over Evolving Graphs using Information Flow. CoRR abs/2111.10037 (2021) - [i1]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. CoRR abs/2111.14651 (2021) - 2020
- [c1]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. CIKM 2020: 945-954
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