Zijun Wu

About

Zijun Wu is a Chinese researcher working in the field of Operations Research. He received his Ph.D from TU Clausthal in April 2015, and currently serves as a full Professor at Hefei University of Technology. Before joining Hefei University of Technology, he has ever been a post-doc at BISEC from July 2015 to July 2017, a senior researcher at Hefei University from Nov. 2017 to Nov. 2020, and a full Professor at Hefei University from Dec. 2020 to Jun. 2024.

Employment

• Hefei University of Technology Professor
  2024 - Present
• Hefei University Senior Researcher (11/2017 - 11/2020) and Professor (12/2020 to 06/2024)
  2017 - 2024
• Beijing Institute for Scientific and Engineering Computing Postdoc
  2015 - 2017

Education

• Technische Universität Clausthal Dr. rer. nat.
  2010 - 2015
• Sichuan University M.Sc.
  2007 - 2010
• Anhui University of Technology B.Ec.
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• SCOPE: A Hierarchical Event-Triggered Framework for Spatio-Temporal Coverage Maximization in WRSNs With Zeno-Free Scheduling Guarantees
  Pei Xu, Shilong Han, Zijun Wu +2 more
  IEEE Sensors Journal 2026 DOI: 10.1109/JSEN.2026.3724657
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• Overlapping Coalition Formation-Enabled Noncooperative Game-Combined Multi-Agent DRL for UAV-Assisted Resource Allocation
  IEEE Transactions on Sustainable Computing 2026 DOI: 10.1109/TSUSC.2025.3642616
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• Endogenous Resilience: Yield-Driven Portfolio in Semiconductor Supply Chains
  IEEE Transactions on Engineering Management 2026 DOI: 10.1109/TEM.2026.3709585
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• The dynamic system optimal departure time choice problem for a bottleneck with a stochastic capacity: Model formulation and solution algorithm
  Transportation Research Part C Emerging Technologies 2026 DOI: 10.1016/j.trc.2025.105510
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• Computing approximate pure Nash equilibria for weighted congestion games
  Fundamental Research 2025 DOI: 10.1016/j.fmre.2025.11.014
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• A hybrid algorithm for the traveling salesman problem
  2025 4th International Conference on Cloud Computing Big Data Application and Software Engineering Cbase 2025 2025 DOI: 10.1109/CBASE67452.2025.11335427
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• Computing Approximate Mixed Nash Equilibria for Symmetric Weighted Congestion Games
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-4448-3_9
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• A Sensitivity Analysis of the Price of Anarchy in Nonatomic Congestion Games
  Mathematics of Operations Research 2023 DOI: 10.1287/moor.2022.1292
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• A convergence analysis of the price of anarchy in atomic congestion games
  Mathematical Programming 2023 DOI: 10.1007/s10107-022-01853-0
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• A game-theoretic perspective of deep neural networks
  Theoretical Computer Science 2023 DOI: 10.1016/j.tcs.2022.09.035
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• Approximate Nash Equilibria Algorithms for Weighted Congestion Games and Their Runtimes
  Ssrn 2023 DOI: 10.2139/ssrn.4655155
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• Approximation Algorithms for the Capacitated Min-Max Correlation Clustering Problem
  Asia Pacific Journal of Operational Research 2023 DOI: 10.1142/S0217595922400085
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• Improving the Performance of the Single Shot Multibox Detector for Steel Surface Defects with Context Fusion and Feature Refinement
  Electronics Switzerland 2023 DOI: 10.3390/electronics12112440
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• 1− ρ ǫ-approximate pure Nash equilibria algorithms for weighted congestion games and their runtimes
  Arxiv 2022 DOI: 10.48550/arXiv.2208.11309
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• New Benchmark for Household Garbage Image Recognition
  Tsinghua Science and Technology 2022 DOI: 10.26599/TST.2021.9010072
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• New Benchmark for Household Garbage Image Recognition
  Arxiv 2022 DOI: 10.48550/arxiv.2202.11878
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• Selfishness Need Not Be Bad
  Operations Research 2021 DOI: 10.1287/opre.2020.2036
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• A Game-Theoretic Analysis of Deep Neural Networks
  Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 2021 DOI: 10.1007/978-3-030-93176-6_31
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• Household Garbage Classification: A Transfer Learning Based Method and a Benchmark
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-0010-4_18
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• Lightweight Neural Network Based Garbage Image Classification Using a Deep Mutual Learning
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-0010-4_19
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