ZHANG Jiji

Associate Professor

Academic Qualifications

  • Ph.D. in Logic, Computation and Methodology, Department of Philosophy, Carnegie Mellon University (2006)
  • M.S. in Logic and Computation, Department of Philosophy, Carnegie Mellon University (2002)
  • B.A. in Logic and Philosophy, Department of Philosophy, Peking University, China (2000)

Areas of Interest

Causal Modeling, Philosophy of Science, Epistemology, Artificial Intelligence

Work Experience

  • Associate Professor of Philosophy, Department of Philosophy, Lingnan University (Aug 2011 – present)
  • Assistant Professor of Philosophy, Department of Philosophy, Lingnan University (Aug 2008 – Aug 2011)
  • Assistant Professor of Philosophy, Division of the Humanities and Social Sciences, California Institute of Technology (Aug 2006 – Jul 2008)

Publications

  • Zhang, J. and K. Zhang (forthcoming) “Likelihood and consilience: on Forster’s counterexamples to the likelihood theory of evidence”, Philosophy of Science (Supplementary Volume).
  • Zhang, J. and P. Spirtes (2015) “The three faces of faithfulness”, Synthese.
  • Spirtes, P. and J. Zhang (2014) “A uniformly consistent estimator of causal effects under the k-triangle-faithfulness assumption”, Statistical Science.
  • Zhang, K., Z. Wang, J. Zhang, and B. Schölkopf (2014) “On estimation of functional causal models: general results and application to post-nonlinear causal model”, ACM Transactions on Intelligent Systems and Technology.
  • Zhang, J. (2013) “Can the incompatibilist get past the no past objection?”, dialectica.
  • De Clercq, R., W. Lam, and J. Zhang (2013) “Is there a problem with the causal criterion of event identity?”, American Philosophical Quarterly.
  • Zhang, J., W. Lam, and R. De Clercq (2013) “A Peculiarity in Pearl’s Logic of Interventionist Counterfactuals”, Journal of Philosophical Logic.
  • Zhang, J. (2012) “A comparison of three Occam’s razors for Markovian causal models”, British Journal for the Philosophy of Science.
  • Bicchieri, C., and J. Zhang (2012) “An embarrassment of riches: modeling social preferences in ultimatum games”, in U. maki (ed.) Elsevier Handbook of the Philosophy of Economics.
  • Zhang, J. (2011) “A Lewisian logic of causal counterfactuals”, Minds and Machines.
  • Zhang, J., and P. Spirtes (2010) “Intervention, determinism, and the causal minimality condition”, Synthese.
  • Zhang, J. (2009) “Underdetermination in causal inference”, Studies in Logic.
  • Glymour, C., D. Danks, B. Glymour, F. Eberhardt, J. Ramsey, R. Scheines, P. Spirtes, C. Teng, and J. Zhang (2009) “Actual cusation: a stone soup essay”, Synthese.
  • Zhang, J. (2008) “On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias”. Artificial Intelligence.
  • Zhang, J. (2008) “Causal Reasoning with Ancestral Graphical Models”. Journal of Machine Learning Research.
  • Zhang, J., and P. Spirtes (2008) “Detection of Unfaithfulness and Robust Causal Inference”. Minds and Machines.
  • Zhang, J. (2008) “Error Probabilities for Inference of Causal Directions”. Synthese.
  • Zhang, J. (2007) “A Characterization of Markov Equivalence Classes for Causal Models with Latent Variables”.  Proceedings of Uncertainty in Artificial Intelligence. (Runner-up for the best paper award.)
  • Zhang, J. (2007) “Generalized Do-Calculus with Testable Causal Assumptions”. Proceedings of the 11th International Conference on Artificial Intelligence and Statistics.
  • Ramsey, J., P. Spirtes, and J. Zhang (2006) “Adjacency Faithfulness and Conservative Causal Inference”. Proceedings of Uncertainty in Artificial Intelligence.
  • Zhang, J. and P. Spirtes (2005) “A Transformational Characterization of Markov Equivalence between Causal Models with Latent Variables”. Proceedings of Uncertainty in Artificial Intelligence.
  • Silva, R., J. Zhang and J.G. Shanahan (2005) “Probabilistic Workflow Mining”. Proceedings of Knowledge Discovery and Data Mining.
  • Ali, A., T. Richardson, P. Spirtes and J. Zhang (2005) “A Step towards Characterizing Markov Equivalence Classes of Latent Variable Causal Models”. Proceedings of Uncertainty in Artificial Intelligence.
  • Zhang, J. and P. Spirtes (2003) “Strong Faithfulness and Uniform Consistency in Causal Inference”. Proceedings of Uncertainty in Artificial Intelligence.