The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. - Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen (IEA/AIE (2), 2011)

Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. - Xuan Zhang 007; B. John Oommen; Ole-Christoffer Granmo (AIAI, 2011)

Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning. - Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen (IEA/AIE, 2012)

On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton. - Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen; Lei Jiao 001 (IEA/AIE, 2013)

Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. - Xuan Zhang 007; Lei Jiao 001; Ole-Christoffer Granmo; B. John Oommen (PIMRC, 2013)

On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. - Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen (Appl. Intell., 2013)

A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks. - Lei Jiao 001; Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen (IEA/AIE (2), 2014)

Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. - Xuan Zhang 007; B. John Oommen; Ole-Christoffer Granmo; Lei Jiao 001 (IEA/AIE (1), 2014)

A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. - Xuan Zhang 007; Ole-Christoffer Granmo; B. John Oommen; Lei Jiao 001 (Appl. Intell., 2014)

Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. - Lei Jiao 001; Xuan Zhang 007; B. John Oommen; Ole-Christoffer Granmo (Appl. Intell., 2016)

A formal proof of the 𝜀-optimality of discretized pursuit algorithms. - Xuan Zhang 007; B. John Oommen; Ole-Christoffer Granmo; Lei Jiao 001 (Appl. Intell., 2016)

The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. - Xuan Zhang 007; B. John Oommen; Ole-Christoffer Granmo (Pattern Anal. Appl., 2017)

The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions. - Anis Yazidi; Xuan Zhang 007; Lei Jiao 001; B. John Oommen (AIAI, 2018)

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (IEA/AIE, 2019)

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (SSCI, 2020)

The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. - Anis Yazidi; Xuan Zhang 007; Lei Jiao 001; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. - Xuan Zhang 007; Lei Jiao 001; B. John Oommen; Ole-Christoffer Granmo (IEEE Trans. Neural Networks Learn. Syst., 2020)

On the Convergence of Tsetlin Machines for the AND and the OR Operators. - Lei Jiao 001; Xuan Zhang 007; Ole-Christoffer Granmo (CoRR, 2021)

The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (AI, 2022)

A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results. - B. John Oommen; Xuan Zhang 007; Lei Jiao 001 (Honoring Professor Mohammad S. Obaidat, 2022)

On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. - Xuan Zhang 007; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. - Kuruge Darshana Abeyrathna; Ahmed Abdulrahem Othman Abouzeid; Bimal Bhattarai; Charul Giri; Sondre Glimsdal; Ole-Christoffer Granmo; Lei Jiao 001; Rupsa Saha; Jivitesh Sharma; Svein Anders Tunheim; Xuan Zhang 007 (IJCAI, 2023)

Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. - Jinbao Zhang; Xuan Zhang 007; Lei Jiao 001; Ole-Christoffer Granmo; Yongjun Qian; Fan Pan (CoRR, 2023)

Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. - Ole-Christoffer Granmo; Per-Arne Andersen; Lei Jiao 001; Xuan Zhang 007; Christian D. Blakely; Tor Oddbjørn Tveit (CoRR, 2023)

On the Convergence of Tsetlin Machines for the XOR Operator. - Lei Jiao 001; Xuan Zhang 007; Ole-Christoffer Granmo; Kuruge Darshana Abeyrathna (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2024)

MDTNet: Partial transformer with degradation-aware module for restoring old photos with multiple degradations. - Liqin Cao; Yuan Zhao; Fan Zhang; Xuan Zhang 007; Ju Hua Liu; Yanfei Zhong (Neurocomputing, 2025)

GC3: Grouped convolutional color constancy. - Song Zhengguang; Zhijiang Li; Liqin Cao; Lei Jiao 001; Xuan Zhang 007 (Pattern Recognit., 2025)

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs. - Ole-Christoffer Granmo; Youmna Abdelwahab; Per-Arne Andersen; Paul F. A. Clarke; Kunal Ganesh Dumbre; Ylva Grønningsæter; Vojtech Halenka; Runar Helin; Lei Jiao 001; Ahmed Khalid; Rebekka Olsson Omslandseter; Rupsa Saha; et al. (CoRR, 2025)