Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs - Yangbo He; Jinzhu Jia; Bin Yu 001 (CoRR, 2012)

Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. - Yangbo He; Jinzhu Jia; Bin Yu 001 (J. Mach. Learn. Res., 2015)

Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs. - Yangbo He; Bin Yu 001 (CoRR, 2016)

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)

Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data. - Ziyi Xu; Xue Cheng; Yangbo He (AAMAS, 2022)

Identification of Linear Non-Gaussian Latent Hierarchical Structure. - Feng Xie 002; Biwei Huang; Zhengming Chen; Yangbo He; Zhi Geng; Kun Zhang 001 (ICML, 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)

Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models. - Feng Xie 002; Yangbo He; Zhi Geng; Zhengming Chen; Ru Hou; Kun Zhang 001 (Entropy, 2022)

Conditional counterfactual causal effect for individual attribution. - Ruiqi Zhao; Lei Zhang; Shengyu Zhu 001; Zitong Lu; Zhenhua Dong; Chaoliang Zhang; Jun Xu 001; Zhi Geng; Yangbo He (UAI, 2023)

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. - Feng Xie 002; Yan Zeng 002; Zhengming Chen; Yangbo He; Zhi Geng; Kun Zhang 001 (Neurocomputing, 2023)

Local Causal Discovery with Background Knowledge. - Qingyuan Zheng; Yue Liu; Yangbo He (CoRR, 2024)

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)

Learning Causes of Functional Dynamic Targets: Screening and Local Methods. - Ruiqi Zhao; Xiaoxia Yang; Yangbo He (Entropy, 2024)

VACT: A Video Automatic Causal Testing System and a Benchmark. - Haotong Yang; Qingyuan Zheng; Yunjian Gao; Yongkun Yang; Yangbo He; Zhouchen Lin; Muhan Zhang (CoRR, 2025)