Zhuangyan Fang

13 papers A* 1A 3Journal 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness.
ICML
Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang
2025 J jnl
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference.
J. Mach. Learn. Res.
Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He
2024 J jnl
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2022 J jnl
A local method for identifying causal relations under Markov equivalence.
Artif. Intell.
Zhuangyan Fang, Yue Liu, Zhi Geng, Shengyu Zhu, Yangbo He
2022 A conf
Masked Gradient-Based Causal Structure Learning.
SDM
Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
2022 J jnl
On the Representation of Causal Background Knowledge and its Applications in Causal Inference.
CoRR
Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He
2021 J jnl
A Local Method for Identifying Causal Relations under Markov Equivalence.
CoRR
Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He
2020 A conf
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects.
UAI
Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng
2020 A conf
IDA with Background Knowledge.
UAI
Zhuangyan Fang, Yangbo He
2020 J jnl
Local Causal Network Learning for Finding Pairs of Total and Direct Effects.
J. Mach. Learn. Res.
Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng, Chunchen Liu
2020 J jnl
Low Rank Directed Acyclic Graphs and Causal Structure Learning.
CoRR
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2019 J jnl
A Graph Autoencoder Approach to Causal Structure Learning.
CoRR
Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang
2019 J jnl
Masked Gradient-Based Causal Structure Learning.
CoRR
Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen