Masked Gradient-Based Causal Structure Learning. - Ignavier Ng; Zhuangyan Fang; Shengyu Zhu 001; Zhitang Chen (CoRR, 2019)

A Graph Autoencoder Approach to Causal Structure Learning. - Ignavier Ng; Shengyu Zhu 001; Zhitang Chen; Zhuangyan Fang (CoRR, 2019)

IDA with Background Knowledge. - Zhuangyan Fang; Yangbo He (UAI, 2020)

Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects. - Yue Liu; Zhuangyan Fang; Yangbo He; Zhi Geng (UAI, 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)

A Local Method for Identifying Causal Relations under Markov Equivalence. - Zhuangyan Fang; Yue Liu; Zhi Geng; Yangbo He (CoRR, 2021)

Masked Gradient-Based Causal Structure Learning. - Ignavier Ng; Shengyu Zhu 001; Zhuangyan Fang; Haoyang Li 002; Zhitang Chen; Jun Wang 012 (SDM, 2022)

A local method for identifying causal relations under Markov equivalence. - Zhuangyan Fang; Yue Liu; Zhi Geng; Shengyu Zhu 001; Yangbo He (Artif. Intell., 2022)

On the Representation of Causal Background Knowledge and its Applications in Causal Inference. - Zhuangyan Fang; Ruiqi Zhao; Yue Liu; Yangbo He (CoRR, 2022)

On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. - Zhuangyan Fang; Shengyu Zhu 001; Jiji Zhang; Yue Liu; Zhitang Chen; Yangbo He (IEEE Trans. Neural Networks Learn. Syst., 2024)