Zhuangyan Fang

According to our database, Zhuangyan Fang authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

On Low-Rank Directed Acyclic Graphs and Causal Structure Learning.

Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2022

On the Representation of Causal Background Knowledge and its Applications in Causal Inference.

Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He

CoRR, 2022

A local method for identifying causal relations under Markov equivalence.

Zhuangyan Fang, Yue Liu, Zhi Geng, Shengyu Zhu, Yangbo He

Artif. Intell., 2022

Masked Gradient-Based Causal Structure Learning.

Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

A Local Method for Identifying Causal Relations under Markov Equivalence.

Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He

CoRR, 2021

2020

Local Causal Network Learning for Finding Pairs of Total and Direct Effects.

Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng, Chunchen Liu

J. Mach. Learn. Res., 2020

Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects.

Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

IDA with Background Knowledge.

Zhuangyan Fang, Yangbo He

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

A Graph Autoencoder Approach to Causal Structure Learning.

Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang

CoRR, 2019

Masked Gradient-Based Causal Structure Learning.

Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen

CoRR, 2019