Yazheng Liu

12 papers A* 3A 1B 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges.
ICLR
Yazheng Liu, Sihong Xie
2024 J jnl
A Differential Geometric View and Explainability of GNN on Evolving Graphs.
CoRR
Yazheng Liu, Xi Zhang, Sihong Xie
2023 A* conf
A Differential Geometric View and Explainability of GNN on Evolving Graphs.
ICLR
Yazheng Liu, Xi Zhang, Sihong Xie
2023 J jnl
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection.
IEEE Trans. Knowl. Data Eng.
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023 J jnl
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection.
CoRR
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023 J jnl
Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming.
IEEE Trans. Reliab.
Zhiwu Xu, Yazheng Liu, Shengchao Qin, Zhong Ming
2022 B conf
Trade less Accuracy for Fairness and Trade-off Explanation for GNN.
IEEE Big Data
Yazheng Liu, Xi Zhang, Sihong Xie
2021 J jnl
Explaining GNN over Evolving Graphs using Information Flow.
CoRR
Yazheng Liu, Xi Zhang, Sihong Xie
2021 — conf
Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection.
EMNLP (Findings)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Yazheng Liu
2021 A* conf
Multi-objective Explanations of GNN Predictions.
ICDM
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2021 J jnl
Multi-objective Explanations of GNN Predictions.
CoRR
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2020 A conf
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference.
CIKM
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie