Xuan Zhang

33 papers A* 1B 1C 3Misc 3Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
GC3: Grouped convolutional color constancy.
Pattern Recognit.
Song Zhengguang, Zhijiang Li, Liqin Cao, Lei Jiao, Xuan Zhang
2025 J jnl
MDTNet: Partial transformer with degradation-aware module for restoring old photos with multiple degradations.
Neurocomputing
Liqin Cao, Yuan Zhao, Fan Zhang, Xuan Zhang, Ju Hua Liu, Yanfei Zhong
2025 J jnl
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs.
CoRR
Ole-Christoffer Granmo, Youmna Abdelwahab, Per-Arne Andersen, Paul F. A. Clarke, Kunal Ganesh Dumbre, Ylva Grønningsæter, Vojtech Halenka, Runar Helin, Lei Jiao, Ahmed Khalid, Rebekka Olsson Omslandseter, Rupsa Saha, Mayur Shende, Xuan Zhang
2024 J jnl
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality.
IEEE Trans. Neural Networks Learn. Syst.
Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
2023 A* conf
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size.
IJCAI
Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
2023 J jnl
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size.
CoRR
Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
2023 J jnl
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification.
CoRR
Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan
2023 J jnl
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning.
CoRR
Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit
2023 J jnl
On the Convergence of Tsetlin Machines for the XOR Operator.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
2022 — conf
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results.
Honoring Professor Mohammad S. Obaidat
B. John Oommen, Xuan Zhang, Lei Jiao
2022 J jnl
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2022 Misc conf
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
AI
Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen
2021 J jnl
On the Convergence of Tsetlin Machines for the AND and the OR Operators.
CoRR
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo
2021 J jnl
On the Convergence of Tsetlin Machines for the XOR Operator.
CoRR
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
2020 J jnl
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo
2020 — conf
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines.
SSCI
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2020 J jnl
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators.
CoRR
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2020 J jnl
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst.
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
2019 C conf
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks.
IEA/AIE
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2019 J jnl
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks.
CoRR
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2018 Misc conf
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions.
AIAI
Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen
2017 J jnl
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality.
Pattern Anal. Appl.
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2016 J jnl
A formal proof of the 𝜀-optimality of discretized pursuit algorithms.
Appl. Intell.
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2016 J jnl
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell.
Lei Jiao, Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2014 — conf
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks.
IEA/AIE (2)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2014 J jnl
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell.
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2014 — conf
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms.
IEA/AIE (1)
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2013 B conf
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach.
PIMRC
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, B. John Oommen
2013 C conf
On Using the Theory of Regular Functions to Prove the
IEA/AIE
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2013 J jnl
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata.
Appl. Intell.
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2012 C conf
Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning.
IEA/AIE
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2011 Misc conf
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems.
AIAI
Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2011 — conf
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata.
IEA/AIE (2)
Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen