Quantitative Evaluations on Saliency Methods: An Experimental Study. - Xiao-Hui Li 009; Yuhan Shi; Haoyang Li 002; Wei Bai; Yuanwei Song; Caleb Chen Cao; Lei Chen 002 (CoRR, 2020)

An Experimental Study of Quantitative Evaluations on Saliency Methods. - Xiao-Hui Li 009; Yuhan Shi; Haoyang Li 002; Wei Bai; Caleb Chen Cao; Lei Chen 002 (KDD, 2021)

Counterfactual Explanations in Explainable AI: A Tutorial. - Cong Wang; Xiao-Hui Li 009; Haocheng Han; Shendi Wang; Luning Wang; Caleb Chen Cao; Lei Chen 002 (KDD, 2021)

Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. - Shendi Wang; Haoyang Li 002; Caleb Chen Cao; Xiao-Hui Li 009; Ng Ngai Fai; Jianxin Liu; Xun Xue; Hu Song; Jinyu Li; Guangye Gu; Lei Chen 002 (ICDE, 2022)

Example Perplexity. - Nevin L. Zhang; Weiyan Xie; Zhi Lin; Guanfang Dong; Xiao-Hui Li 009; Caleb Chen Cao; Yunpeng Wang (CoRR, 2022)

A Survey of Data-Driven and Knowledge-Aware eXplainable AI. - Xiao-Hui Li 009; Caleb Chen Cao; Yuhan Shi; Wei Bai; Han Gao; Luyu Qiu; Cong Wang; Yuanyuan Gao; Shenjia Zhang; Xun Xue; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2022)

ViT-CX: Causal Explanation of Vision Transformers. - Weiyan Xie; Xiao-Hui Li 009; Caleb Chen Cao; Nevin L. Zhang (IJCAI, 2023)

Two-stage holistic and contrastive explanation of image classification. - Weiyan Xie; Xiao-Hui Li 009; Zhi Lin; Leonard K. M. Poon; Caleb Chen Cao; Nevin L. Zhang (UAI, 2023)