Xiao-Hui Li

According to our database, Xiao-Hui Li authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Two-stage holistic and contrastive explanation of image classification.

Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

ViT-CX: Causal Explanation of Vision Transformers.

Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A Survey of Data-Driven and Knowledge-Aware eXplainable AI.

Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen

IEEE Trans. Knowl. Data Eng., 2022

Example Perplexity.

Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang

CoRR, 2022

Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems.

Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Counterfactual Explanations in Explainable AI: A Tutorial.

Cong Wang, Xiao-Hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Experimental Study of Quantitative Evaluations on Saliency Methods.

Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Quantitative Evaluations on Saliency Methods: An Experimental Study.

Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen

CoRR, 2020