♊️ Yukun Zhu ♊️

♊️ Yukun Zhu ♊️

University of Edinburgh

🥰 Welcome!

I am pursuing an MScR at The University of Edinburgh. Currently, I am reasearching in Institute for Imaging, Data and Communications(IDCOMs), supervisd by Dr. Chang Liu from the Department of Engineering.

From 2020 to 2024, I completed a Bachelor’s degree in Intelligent Manufacturing at Jianghan University, under the supervision of Dr. Cong Yu. During this period, I also collaborated closely with leading scholars from many schools, Dr. Wei Fan, Prof. Ling Shi, Prof. Xia Liu, Dr. Shaojun Ren, Prof. Xiaoli Hu, and Haotian Xiao, et al. In collaboration with these scholars, my work has spanned multiple areas, including Optimized computational methods for quantum detuning, Real-time dynamic data coordination of full-condition power units via spatiotemporal redundancy techniques, Data-driven modeling of industrial processes fault diagnosis, Microstructure–interface heat-transfer analysis, Human posture detection and action-recognition algorithms, Empirical asset pricing and Robot simulation control and motion-planning strategies.

In recent years, I has participated as a core member in multiple key research and engineering projects, including grants from the National Natural Science Foundation of China (NSFC), the Ministry of Industry and Information Technology (MIIT) pilot program on Internet + Safety Production in Civil Explosives, open projects at the Hubei Provincial Key Laboratory, and funding from the Hubei Enterprise‑University Joint Innovation Center. One of the research outcomes achieved an internationally advanced level appraised by MIIT.

In the meantime, I have published over ten papers in reputable domestic and international journals such as Energy, JTICE, and FRL et al.; secured three invention patents; and obtained one software copyright.I served as a reviewer for international journals including Energy and AI, EIT, and IEEE Access，et al. In addition, I won more than twenty awards in competitions at various levels, comprising two international awards, eleven national awards, and nine provincial awards.

🔥 News

📝 Publications

📄 Papers and Conferences

FRL 2025
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Does multi-scale GARCH information enhance volatility prediction? Rentian Yu, Haotian Xiao, Yukun Zhu, Gongqiu Zhang📧

Project｜ Citations 0 ｜ Finance Research Letters (Q1,IF=7.4)

  • We integrate GARCH information with a multi-scale network for volatility prediction.
  • The GENSHIN outperforms other deep learning models for Chinese volatility indices.
  • The results highlight the multi-scale information in improving volatility prediction.
ACS OMEGA 2024
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Forecast of NOx Emissions for a 660MW Coal-Fired Boiler with Multilayered Gradient Boosting Decision Tree Considering Multiple Operating Modes

Ziwei Wang, Yongzan Zhou, Yukun Zhu, Haiquan Yu, Wei Fan📧

Project｜ Citations 1 ｜ ACS OMEGA (Q2,IF=3.7)

  • Feature extraction & fusion: Use KICA to remove nonlinear correlations, then fuse independent components with key physics-based variables.
  • Multimode segmentation: Apply RGMM to identify distinct boiler operating modes and split data accordingly.
Energy 2024
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Mechanism-enhanced data-driven method for the joint optimization of boiler combustion and selective catalytic reduction systems considering gas temperature deviations

Yukun Zhu, Cong Yu📧, Wei Jin📧, Ling Shi, Bo Chen, Pei Xu

Project｜ Citations 5 ｜ Energy (Q1,IF=9)

  • A novel framework was proposed for the joint optimization of boiler subsystems.
  • Mechanism relationships were integrated into the data-driven characteristic models.
  • Effect of incorporating prior knowledge on modeling and optimization was validated.
  • A trade-off between eliminating gas temperature deviation and reducing NOx was found.
JTICE 2023
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NOx formation model for utility boilers using robust two-step steady-state detection and multimodal residual convolutional auto-encoder

Shuo Chen, Cong Yu📧, Yukun Zhu,Wei Fan, Haiquan Yu, Tihua Zhang

Project｜ Citations 8 ｜ Journal of the Taiwan Institute of Chemical Engineers (Q1,IF=5.5)

  • A novel data-driven NOx modelling framework towards peak-shaving utility boilers was proposed.
  • A robust two-step steady-state detection approach was proposed to obtain high-quality steady-state training samples from the operational data.
  • A multimodal residual convolutional auto-encoder was developed to learn the particular data distribution and feature contributions of each operating mode.
Energy 2023
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A novel NOx emission prediction model for multimodal operational utility boilers considering local features and prior knowledge

Yukun Zhu, Cong Yu📧, Wei Fan, Haiquan Yu, Wei Jin, Shuo Chen, Xia Liu

Project｜ Citations 9 ｜ Energy (Q1,IF=9)

  • The monotonous LightGBM model fits better and presents a more stable performance in the single factor variation experiment than the model without prior information.
  • The robust multivariate steady-state algorithm can effectively reduce the impacts of outliers and accurately distinguish the boundaries between the steady-state interval and the non-steady-state interval

🧑‍🔬 Patents and Softwares

🎖 Research Projects

  • 企业项目（湖北中烟工业有限责任公司武汉卷烟厂）：基于二维码的卷烟质量追溯能力提升的研究与应用, 核心成员，2024.08-2025.10，在研
  • 东南大学外委项目：循环流化床锅炉燃烧过程数值模拟平台开发及试验测试分析，核心成员，2024.08-2025.12，在研
  • 企业项目（湖北凯龙化工集团股份有限公司）：工业互联网+民用爆炸物品生产及仓储智能化安全监控系统，核心成员，2023.06-2026.06，结题(工信部鉴定, 国际领先水平)
  • 工业烟尘污染控制湖北省重点实验室开放课题（重点项目）：物理启发机器学习助力深调燃煤锅炉氮氧化物迁移行为预测与调控，核心成员，2023.09-2025.08，结题；
  • 湖北省环保型汽车油管智能制造企校联合创新中心基金：基于层析成像的高温炉精准光学测温技术及其数字化平台研发，核心成员，2022.8-2025.12，结题；
  • 国家自然科学基金：煤粉富氧燃烧锅炉火焰稳定性与蒸发受热管热力特性的耦合机制研究，核心成员，2021.1-2023.12，结题；
  • 江汉大学高层次人才科研项目：数据与机理融合驱动的燃煤电站脱硝催化剂寿命预测模型研究，核心成员，2021.1-2023.12，结题；

🎖 Honors and Awards

  • 2025 M Prize, Mathematical Contest in Modeling for American College Students(MCM/ICM)
  • 2024 President’s Scholarship of Jianghan University (Only 10 people in the whole school)
  • 2023 First Prize, The 4th MathorCup College Mathematical Modeling Challenge (Top 5 percent)
  • 2023 First Prize, The 3rd MathorCup Mathematical Modeling Challenge in Colleges and Universities (Top 5 percent)
  • 2022 First Prize, The 14th Huazhong Cup College Student Mathematical Modeling Challenge (Top 5 percent)
  • 2022 First Prize, The 7th Shuwei Cup National Undergraduate Mathematical Modeling Challenge (Top 5 percent)
  • 2022 First Prize, The First “Dingding Cup” College Student Big Data Challenge (The first of 2439 teams)
  • 2022 Second Prize, The 12th International Mathematical Contest in Modeling for University Students in the Asia-Pacific Region
  • 2022 Second Prize, The 3rd National Undergraduate Algorithm Design and Programming Challenge (Top 10 percent)
  • 2021 Second Prize, The 13th National Undergraduate Mathematics Competition (Top 10 percent)

📖 Educations

  • 2025.04 - 2025 (now), MScR of Digital Conmmunications, University of Edinburgh
  • 2020.09 - 2024.06, Bachelor of Process Equipment & Control Engineering, Jianghan University