Zhi Geng

Orcid: 0000-0002-1771-2528

According to our database1, Zhi Geng authored at least 56 papers between 2003 and 2023.

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Bibliography

2023
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions.
Neurocomputing, March, 2023

Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables.
CoRR, 2023

Study on Virtual Gear Hobbing Simulation and Gear Tooth Surface Accuracy.
CoRR, 2023

Conditional counterfactual causal effect for individual attribution.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.
Proceedings of the International Conference on Machine Learning, 2023

2022
A Fault Detection Scheme in MTDC Systems Using a Superconducting Fault Current Limiter.
IEEE Syst. J., 2022

Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models.
Entropy, 2022

A local method for identifying causal relations under Markov equivalence.
Artif. Intell., 2022

Identification of Linear Non-Gaussian Latent Hierarchical Structure.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Wide Range Unidirectional Isolated DC-DC Converter for Fuel Cell Electric Vehicles.
IEEE Trans. Ind. Electron., 2021

Switching Signals Based Condition Monitoring for Submodule Capacitors in Modular Multilevel Converters.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Local Method for Identifying Causal Relations under Markov Equivalence.
CoRR, 2021

2020
A Constant-Current Transmission Converter for Semi-airborne Transient Electromagnetic Surveying.
IEEE Trans. Ind. Electron., 2020

Fault Localization Strategy for Modular Multilevel Converters in Rectifier Mode Under Submodule Switch Open-Circuit Failure.
IEEE Trans. Circuits Syst., 2020

Local Causal Network Learning for Finding Pairs of Total and Direct Effects.
J. Mach. Learn. Res., 2020

Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Local Learning Approaches for Finding Effects of a Specified Cause and Their Causal Paths.
ACM Trans. Intell. Syst. Technol., 2019

2018
Modular Regenerative Emulation System for DC-DC Converters in Hybrid Fuel Cell Vehicle Applications.
IEEE Trans. Veh. Technol., 2018

Safety Message Propagation Using Vehicle-Infrastructure Cooperation in Urban Vehicular Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017
Data Dissemination Based on Fuzzy Logic and Network Coding in Vehicular Networks.
Wirel. Commun. Mob. Comput., 2017

A Bipolar Half-Sine Current Inverter for Airship-Borne Electromagnetic (AEM) Surveying.
IEEE Trans. Ind. Electron., 2017

A Study on Chinese Vocabulary Learning Strategies of Second Language Learners.
Proceedings of the Chinese Lexical Semantics - 18th Workshop, 2017

2016
Bounds on Direct and Indirect Effects of Treatment on a Continuous Endpoint.
ACM Trans. Intell. Syst. Technol., 2016

Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes.
ACM Trans. Intell. Syst. Technol., 2016

Efficient Dynamic Integrity Verification for Big Data Supporting Users Revocability.
Inf., 2016

Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders.
Comput. Stat. Data Anal., 2016

Causal Network Learning from Multiple Interventions of Unknown Manipulated Targets.
CoRR, 2016

2015
Sender- and Reciever-specific Blockmodels.
J. Soc. Struct., 2015

Improving the vector (ϵ) acceleration for the EM algorithm using a re-starting procedure.
Comput. Stat., 2015

2014
Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach.
Comput. Stat. Data Anal., 2014

2013
Detection of Target Maneuver from Bearings-Only Measurements.
IEEE Trans. Aerosp. Electron. Syst., 2013

MCMC using Markov bases for computing p-values in decomposable log-linear models.
Comput. Stat., 2013

2012
On Delay Tomography: Fast Algorithms and Spatially Dependent Models.
IEEE Trans. Signal Process., 2012

Matching of infrared and visible images.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Simpson's Paradox.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2010
Discover Local Causal Network around a Target to a Given Depth.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Reverse Engineering of Asynchronous Boolean Networks.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

A Study on Pig Slaughter Traceability Solution Based on RFID.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

2008
Partial orientation and local structural learning of causal networks for prediction.
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

A Recursive Method for Structural Learning of Directed Acyclic Graphs.
J. Mach. Learn. Res., 2008

Acceleration of the EM algorithm using the vector epsilon algorithm.
Comput. Stat., 2008

2007
Structural Learning About Independence Graphs from Multiple Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A gradually locating method of indoor locating estimation based on likelihood.
Proceedings of the 4th International Conference on Mobile Technology, 2007

Hidden Markov Models with Multiple Observers.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

A Novel Real Time Method of Signal Strength Based Indoor Localization.
Proceedings of the Computational Science and Its Applications, 2007

2006
Decomposition of structural learning about directed acyclic graphs.
Artif. Intell., 2006

Identifiability and Estimation of Probabilities from Multiple Databases with Incomplete Data and Sampling Selection.
Proceedings of the Structural, 2006

Combination of Network Construction and Cluster Analysis and Its Application to Traditional Chinese Medicine.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A bottom-up inference of loss rate.
Comput. Commun., 2005

Structural Learning of Graphical Models and Its Applications to Traditional Chinese Medicine.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Learning Causal Structures Based on Markov Equivalence Class.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

An Approach to Mining Local Causal Relationships from Databases.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
A Fast Method to Estimate Loss Rate.
Proceedings of the Information Networking, 2004

2003
Bayesian method for learning graphical models with incompletely categorical data.
Comput. Stat. Data Anal., 2003

Agent-based Model for Intelligent Shopping Assistant and its Application.
Proceedings of the Online Proceeding of the 13th International Conference on Artificial Reality and Telexistence, 2003


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