Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. - Yifei Liu; Chao Chen; Yazheng Liu; Xi Zhang 008; Sihong Xie (CIKM, 2020)

Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection. - Mengzhu Sun; Xi Zhang 008; Jianqiang Ma; Yazheng Liu (EMNLP (Findings), 2021)

Multi-objective Explanations of GNN Predictions. - Yifei Liu; Chao Chen; Yazheng Liu; Xi Zhang 008; Sihong Xie (ICDM, 2021)

Explaining GNN over Evolving Graphs using Information Flow. - Yazheng Liu; Xi Zhang 008; Sihong Xie (CoRR, 2021)

Trade less Accuracy for Fairness and Trade-off Explanation for GNN. - Yazheng Liu; Xi Zhang 008; Sihong Xie (IEEE Big Data, 2022)

A Differential Geometric View and Explainability of GNN on Evolving Graphs. - Yazheng Liu; Xi Zhang 008; Sihong Xie (ICLR, 2023)

Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming. - Zhiwu Xu 001; Yazheng Liu; Shengchao Qin; Zhong Ming 001 (IEEE Trans. Reliab., 2023)

Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. - Mengzhu Sun; Xi Zhang 008; Jianqiang Ma; Sihong Xie; Yazheng Liu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Explanations of GNN on Evolving Graphs via Axiomatic Layer edges. - Yazheng Liu; Sihong Xie (ICLR, 2025)