Strong Faithfulness and Uniform Consistency in Causal Inference. - Jiji Zhang; Peter Spirtes (UAI, 2003)

Probabilistic workflow mining. - Ricardo Bezerra de Andrade e Silva; Jiji Zhang; James G. Shanahan (KDD, 2005)

Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. - Ayesha R. Ali; Thomas S. Richardson 001; Peter Spirtes; Jiji Zhang (UAI, 2005)

A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. - Jiji Zhang; Peter Spirtes (UAI, 2005)

Adjacency-Faithfulness and Conservative Causal Inference. - Joseph D. Ramsey; Jiji Zhang; Peter Spirtes (UAI, 2006)

A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. - Jiji Zhang (UAI, 2007)

Generalized Do-Calculus with Testable Causal Assumptions. - Jiji Zhang (AISTATS, 2007)

On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias. - Jiji Zhang (Artif. Intell., 2008)

Causal Reasoning with Ancestral Graphs. - Jiji Zhang (J. Mach. Learn. Res., 2008)

Detection of Unfaithfulness and Robust Causal Inference. - Jiji Zhang; Peter Spirtes (Minds Mach., 2008)

Error probabilities for inference of causal directions. - Jiji Zhang (Synth., 2008)

Actual causation: a stone soup essay. - Clark Glymour; David Danks; Bruce Glymour; Frederick Eberhardt; Joseph D. Ramsey; Richard Scheines; Peter Spirtes; Choh Man Teng 001; Jiji Zhang (Synth., 2010)

Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". - Jiji Zhang; Ricardo Bezerra de Andrade e Silva (AISTATS, 2011)

Intervention, determinism, and the causal minimality condition. - Jiji Zhang; Peter Spirtes (Synth., 2011)

A Peculiarity in Pearl's Logic of Interventionist Counterfactuals. - Jiji Zhang; Wai-Yin Lam; Rafael De Clercq (J. Philos. Log., 2013)

A Lewisian Logic of Causal Counterfactuals. - Jiji Zhang (Minds Mach., 2013)

Distinguishing Cause from Effect Based on Exogeneity. - Kun Zhang 001; Jiji Zhang; Bernhard Schölkopf (CoRR, 2015)

On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection. - Kun Zhang 001; Jiji Zhang; Biwei Huang; Bernhard Schölkopf; Clark Glymour (UAI, 2016)

The three faces of faithfulness. - Jiji Zhang; Peter Spirtes (Synth., 2016)

On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model. - Kun Zhang 001; Zhikun Wang; Jiji Zhang; Bernhard Schölkopf (ACM Trans. Intell. Syst. Technol., 2016)

Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. - Biwei Huang; Kun Zhang 001; Jiji Zhang; Ruben Sanchez-Romero; Clark Glymour; Bernhard Schölkopf (ICDM, 2017)

Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. - Kun Zhang 001; Biwei Huang; Jiji Zhang; Clark Glymour; Bernhard Schölkopf (IJCAI, 2017)

SAT-Based Causal Discovery under Weaker Assumptions. - Zhalama; Jiji Zhang; Frederick Eberhardt; Wolfgang Mayer (UAI, 2017)

Weakening faithfulness: some heuristic causal discovery algorithms. - Zhalama; Jiji Zhang; Wolfgang Mayer (Int. J. Data Sci. Anal., 2017)

A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. - Amin Jaber; Jiji Zhang; Elias Bareinboim (IJCAI, 2018)

How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like. - Hanti Lin; Jiji Zhang (CoRR, 2018)

Agreeing to disagree and dilation. - Jiji Zhang; Hailin Liu 004; Teddy Seidenfeld (Int. J. Approx. Reason., 2018)

Causal Identification under Markov Equivalence: Completeness Results. - Amin Jaber; Jiji Zhang; Elias Bareinboim (ICML, 2019)

On Causal Identification under Markov Equivalence. - Amin Jaber; Jiji Zhang; Elias Bareinboim (IJCAI, 2019)

ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. - Zhalama; Jiji Zhang; Frederick Eberhardt; Wolfgang Mayer; Mark Junjie Li (IJCAI, 2019)

Identification of Conditional Causal Effects under Markov Equivalence. - Amin Jaber; Jiji Zhang; Elias Bareinboim (NeurIPS, 2019)

On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption. - Hanti Lin; Jiji Zhang (ALT, 2020)

Causal Discovery from Heterogeneous/Nonstationary Data. - Biwei Huang; Kun Zhang 001; Jiji Zhang; Joseph D. Ramsey; Ruben Sanchez-Romero; Clark Glymour; Bernhard Schölkopf (J. Mach. Learn. Res., 2020)

Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. - Ignavier Ng; Yujia Zheng 001; Jiji Zhang; Kun Zhang 001 (NeurIPS, 2021)

Subjective causal networks and indeterminate suppositional credences. - Jiji Zhang; Teddy Seidenfeld; Hailin Liu 004 (Synth., 2021)

Ancestral Instrument Method for Causal Inference without Complete Knowledge. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (IJCAI, 2022)

Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness. - Amin Jaber; Adèle H. Ribeiro; Jiji Zhang; Elias Bareinboim (NeurIPS, 2022)

Reframed GES with a neural conditional dependence measure. - Xinwei Shen 002; Shengyu Zhu 001; Jiji Zhang; Shoubo Hu; Zhitang Chen (UAI, 2022)

Ancestral instrument method for causal inference without a causal graph. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Thuc Duy Le; Jixue Liu (CoRR, 2022)

Markov categories, causal theories, and the do-calculus. - Yimu Yin; Jiji Zhang (CoRR, 2022)

Pathway to Future Symbiotic Creativity. - Yike Guo; Qifeng Liu; Jie Chen 026; Wei Xue 002; Henrik J. Jensen; Fernando Rosas; Jeffrey Shaw; Xing Wu 001; Jiji Zhang; Jianliang Xu (CoRR, 2022)

A Characterization of Lewisian Causal Models. - Jingzhi Fang; Jiji Zhang (LORI, 2023)

What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective. - Zeyu Tang 002; Jiji Zhang; Kun Zhang 001 (ACM Comput. Surv., 2023)

Local Search for Efficient Causal Effect Estimation. - Debo Cheng; Jiuyong Li; Lin Liu 003; Jiji Zhang; Jixue Liu; Thuc Duy Le (IEEE Trans. Knowl. Data Eng., 2023)

Natural Counterfactuals With Necessary Backtracking. - Guang-Yuan Hao; Jiji Zhang; Biwei Huang; Hao Wang 014; Kun Zhang 001 (NeurIPS, 2024)

On Causal Discovery in the Presence of Deterministic Relations. - Loka Li; Haoyue Dai; Hanin Al Ghothani; Biwei Huang; Jiji Zhang; Shahar Harel; Isaac Bentwich; Guangyi Chen 002; Kun Zhang 001 (NeurIPS, 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)