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Xuan Zhang 0007
Person information
- affiliation: University of Agder, Grimstad, Norway
Other persons with the same name
- Xuan Zhang — disambiguation page
- Xuan Zhang 0001 — Harvard University, Cambridge, MA, USA (and 1 more)
- Xuan Zhang 0002 — Yunnan University, School of Software, Yunnan, China
- Xuan Zhang 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Xuan Zhang 0004 — Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China (and 3 more)
- Xuan Zhang 0005 — Virginia Tech, Blacksburg, USA
- Xuan Zhang 0006 — Tsinghua University, Institute for Network Sciences and Cyberspace, Beijing, China
- Xuan Zhang 0008 — Johns Hopkins University, Baltimore, MD, USA
- Xuan Zhang 0009 (aka: Alex X. Zhang 0002) — Renmin University of China, Beijing, China
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2020 – today
- 2025
- [j12]Liqin Cao, Yuan Zhao, Fan Zhang, Xuan Zhang, Ju Hua Liu, Yanfei Zhong:
MDTNet: Partial transformer with degradation-aware module for restoring old photos with multiple degradations. Neurocomputing 616: 128866 (2025) - [j11]Song Zhengguang, Zhijiang Li, Liqin Cao, Lei Jiao, Xuan Zhang:
GC3: Grouped convolutional color constancy. Pattern Recognit. 158: 110957 (2025) - 2024
- [j10]Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen:
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8278-8292 (2024) - 2023
- [j9]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna:
On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6072-6085 (2023) - [c13]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:
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI 2023: 3395-3403 - [i7]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:
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. CoRR abs/2301.08190 (2023) - [i6]Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan:
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. CoRR abs/2301.10181 (2023) - [i5]Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit:
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. CoRR abs/2309.06315 (2023) - 2022
- [j8]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6345-6359 (2022) - [c12]Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen:
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. AI 2022: 507-518 - [c11]B. John Oommen, Xuan Zhang, Lei Jiao:
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results. Honoring Professor Mohammad S. Obaidat 2022: 33-52 - 2021
- [i4]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna:
On the Convergence of Tsetlin Machines for the XOR Operator. CoRR abs/2101.02547 (2021) - [i3]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo:
On the Convergence of Tsetlin Machines for the AND and the OR Operators. CoRR abs/2109.09488 (2021) - 2020
- [j7]Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo:
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Trans. Neural Networks Learn. Syst. 31(1): 284-294 (2020) - [j6]Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen:
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. IEEE Trans. Neural Networks Learn. Syst. 31(2): 512-526 (2020) - [c10]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI 2020: 2084-2092 - [i2]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR abs/2007.14268 (2020)
2010 – 2019
- 2019
- [c9]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. IEA/AIE 2019: 564-578 - [i1]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. CoRR abs/1905.04199 (2019) - 2018
- [c8]Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen:
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions. AIAI 2018: 451-461 - 2017
- [j5]Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo:
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. Pattern Anal. Appl. 20(3): 797-808 (2017) - 2016
- [j4]Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao:
A formal proof of the 𝜀-optimality of discretized pursuit algorithms. Appl. Intell. 44(2): 282-294 (2016) - [j3]Lei Jiao, Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo:
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Appl. Intell. 44(2): 307-321 (2016) - 2014
- [j2]Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao:
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Appl. Intell. 41(3): 974-985 (2014) - [c7]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen:
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks. IEA/AIE (2) 2014: 48-57 - [c6]Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao:
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. IEA/AIE (1) 2014: 379-388 - 2013
- [j1]Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen:
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. Appl. Intell. 39(4): 782-792 (2013) - [c5]Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao:
On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton. IEA/AIE 2013: 262-271 - [c4]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, B. John Oommen:
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. PIMRC 2013: 2362-2367 - 2012
- [c3]Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen:
Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning. IEA/AIE 2012: 784-793 - 2011
- [c2]Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen:
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. IEA/AIE (2) 2011: 522-531 - [c1]Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo:
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. EANN/AIAI (2) 2011: 122-131
Coauthor Index
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