Yu
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Yu Sha

🏫 Xidian University | 📍 Xi'an, China

🇨🇳❄️| ♂️ | 9️⃣6️⃣ | 🐭 | ♊

💪 | 📸 | 🏓

I am Yu Sha (🦈沙毓🦈), now a PhD candidate at Xidian University, where I was co-advised by Prof. Shuiping Gou and Prof. Bo Liu. In addition, I am a member of Xidian-FIAS Joint Research Center (XFJRC) and Giersch Science Center (GSC). My research interests includes AI in Industry (especially AI for acoustic damage detection and diagnosis, etc.), AI in Physics (especially traditional filters with deep learning), AI in Industry (especially cavitation intensity recognition and detection) and Deep Learning (especially Knowledge-guided DL, generative models and attention mechanisms). During 2020 to 2022, I am a PhD vising student in "Deepthinkers" group at Frankfurt Institute for Advanced Studies (FIAS), where I was co-advised by Prof. Horst Stöcker and Prof. Kai Zhou. Before that, I received the B.Sc degree from Lanzhou University of Technology in 2019.

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📰 News

🔍 Researches

💼 Experiences

  • 09/2019 - now, PhD Student, School of Artificial Intelligence, Xidian University (XDU), China.
  • 09/2020 - now, PhD Vising Student, Xidian-FIAS Joint Research Center (XFJRC), Germany.
  • 09/2020 - now, PhD Vising Student, Giersch Science Center (GSC), Germany.
  • 09/2020 - 10/2022, PhD Vising Student, Frankfurt Institute for Advanced Studies (FIAS), Germany.
  • 📖 Educations

  • 09/2019 - now, School of Artificial Intelligence, Xidian University (XDU), China.
  • 09/2015 - 06/2019, School of Science, Lanzhou University of Technology (LUT), China.
  • 📚 Publications

    Papers:

      KDD 2024 (Oral&Poster)
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    1. Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems
      Yu Sha, Shuiping Gou, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
      SIGKDD 2024 | CCF: A | Paper | Code
      • The paper explores hierarchical Knowledge of labels with GCN.
      • The paper presents the Hierarchical Knowledge Correlation Matrix.
      • The sound cavitation datasets provided by SAMSON AG.
      ESWA 2024
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    2. Hierarchical Cavitation Intensity Recognition Using Sub-Master Transition Network-based Acoustic Signals in Pipeline Systems
      Shuiping Gou, Yu Sha*, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou (If you know, you know)
      Expert Systems with Applications | 2024 |SCI: 1-Top | Paper
      • The paper presents a two-stage hierarchical classification network
      • The paper proposes a hierarchical label tree.
      • The sound cavitation datasets provided by SAMSON AG.
      KDD 2022 (Poster)
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    3. Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space
      Yu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
      SIGKDD 2022 | CCF: A | Paper | Code
      • The paper proposes a global filter layer based on a 1D FFT global filter for long-term interactions.
      • The paper extends the capability of discriminating real against fake signals to differentiating between local and regional reconstructions.
      • The paper designs a novel balanceable detection strategy.
      EAAI 2022
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    4. A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals
      Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
      Engineering Applications of Artificial Intelligence | 2022 | SCI: 2-Top | Paper | Code
      • The paper regards cavitation detection and cavitation intensity recognition as a multi-task learning.
      • The 1-D Double Hierarchical Residual Blocks with large kernel are proposed as an automatic feature extractor.
      • The sound cavitation datasets provided by SAMSON AG.
      Measurement 2022
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    5. An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering
      Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
      Measurement | 2022 | SCI: 2-Top | Paper | Code
      • The paper proposes a adaptive feature aggregation module.
      • The paper presents a adaptive feature crosses module.
      • The sound cavitation datasets provided by SAMSON AG.
      Front. Neurosci. 2025
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    6. Dynamic Spatio-Temporal Pruning for Efficient Spiking Neural Networks
      Shuiping Gou, Jiahui Fu, Yu Sha, Zhen Cao, Zhang Guo, Jason K. Eshraghian, Ruimin Li, Licheng Jiao
      Frontiers in Neuroscience | 2025 |SCI: 2-Top | Paper
      • A spatio-temporal pruning algorithm is proposed to reduce the temporal redundancy,
      • Spatial pruning leverages global and inter-layer parameter statistics to minimize model degradation under extreme sparsity.
      JBHI 2024
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    7. Self-supervised, Non-Contact Heartbeat Detection Based on Ballistocardiograms utilizing Physiological Information Guidance
      Changezhe Jiao, Aoyu Yang, Hantao Zhao, Ruhan Yi, Shuiping Gou, Yu Sha, Wanshun Wen, Licheng Jiao, Marjorie Skubic
      IEEE Journal of Biomedical and Health Informatics | 2024 |SCI: 1-Top | Paper
      • A non-contact, self-supervised heart rate detection method based on physiological information,
      • The paper proposes a heartbeat mapping algorithm based on Bidirectional Long Short-Term Memory Network.
      MIR 2023
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    8. Prioritization Hindsight Experience based on Spatial Position Attention for Robots
      Ye Yuan, Yu Sha, Feixiang Sun, Haofan Lu, Shuiping Gou, Jie Luo
      Machine Intelligence Research | 2025 | SCI: 4 | Paper
      • The paper proposes a spatial position attention module for the existing HER framework.
      • The paper presents a theoretical analysis of the total spatial position distance of manipulated object.
      • Eight robotic manipulation tasks in the Fetch and Hand robot environments of OpenAI Gym.
      DH3D 2022
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    9. Phase Retrieval for Terahertz Holography with Physics-Informed Deep Learning
      Mingjun Xiang, Lingxiao Wang, Yu Sha, Hui Yuan, Kai Zhou, Hartmut G Roskos
      Digital Holography and Three-Dimensional Imaging | 2022 | EI | Paper
      • The paper proposes a two novel phase retrieval methods for THz holography.
      • The paper employs unsupervised learning and supervised learning based on the MNIST dataset.
      AIIG 2022
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    10. A study on small magnitude seismic phase identification using 1D deep residual neural network
      Wei Li, Megha Chakraborty, Yu Sha, Kai Zhou, Johannes Faber, Georg Rümpker, Horst Stöcker, Nishtha Srivastava
      Artificial Intelligence in Geosciences | 2022 | SCI: 2 | Paper | Code
      • 1D deep Residual Neural Network for tackling the problem of seismic signal detection and phase identification.
      • The method is trained and tested on the dataset recorded by the Southern California Seismic Network.
      • The model generalizability is also tested further on the STanford EArthquake Dataset.

    11. Deep Learning-based Small Magnitude Earthquake Detection and Seismic Phase Classification
      Wei Li, Yu Sha, Kai Zhou, Johannes Faber, Georg Rümpker, Horst Stöcker, Nishtha Srivastava
      arXiv 2204.02870 | Paper | Code

    12. Smart home system based on STC89C52
      Liang Qin, Yu Sha, Yumeng Xu
      Practical Electronics | 2018 | Paper

    13. Study on operation analysis and decision making for sharing-bicycles
      Hong Zhang, Dixin Zhou, Chuanqi Cheng, Yu Sha
      Big Data Research | 2019 | Paper

    Patents:

    1. Heart rate estimation method based on cross-modal mapping of heart impact map signals
      Shuiping Gou, Yuanjie Liu, Ningtao Liu, Yu Sha, Changzhe Jiao, Dong Hai, Shasha Mao, Jiaxin Cheng
      Invention Patent | CN111887858B |

    2. Hierarchical Cavitation Intensity Recognition Using Sub-Master Transition Network-based Acoustic Signals in Pipeline Systems
      Shuiping Gou, Yu Sha, Zhang Guo, Bo Liu
      Invention Patent | 202310945885.1 |

    3. Face Aging Method Based on Adversarial Learning of Local and Global Region Policies
      Shuiping Gou, Ruichen Xue, Nuo Tong, Ruimin Li, Yu Sha, Ningtao Liu
      Invention Patent | 202310941541.3 |

    4. Physics-Guided Global Filtering Attention Convolutional Neural Networks for Image Classification
      Zhang Guo, Huiyu Chen, Shuiping Gou, Yu Sha, Xinlin Wang, Bo Liu
      Invention Patent | 202411474637.4 |

    🧰 Projects

    Xidian University (XDU):

    1. Analysis of battlefield situation of artificial intelligence in the context of big data
      The 20th Research Institute of China Electronics Technology Group Corporation-Xidian Joint Laboratory for Artificial Intelligence | Completed | Project Participant

    2. Knee intensity recognition for smart wearable devices based on machine learning
      Xijing Hospital | Completed | Project Participant

    Frankfurt Institute for Advanced Studies (FIAS):

    1. Cavitation and leakage detection in large pump/pipe using AI method
      SAMSON AG | Under Study | Project Participant

    Lanzhou University of Technology (LUT):

    1. LoRa based non-contact life detection system
      National Undergraduate Innovation and Entrepreneurship Training Project | Completed | Project Participant

    2. Evaluation of students' comprehensive ability and program design based on fuzzy theory
      LUT Innovation and Entrepreneurship Training Program | Completed | Project Leader

    3. Research on the cultivation of college students' creative ability by mathematical modeling competition
      LUT Technology Innovation Fund | Completed | Project Participant

    4. WeChat program design for second-hand transaction and donation platform on campus
      LUT Technology Innovation Fund | Completed | Project Participant

    🏆 Awards

    Xidian University (XDU):

  • 2022, Outstanding Doctoral Students, XDU

  • 2022, Graduate Student Academic Scholarships (First Level), XDU

  • 2021, Outstanding Doctoral Students, XDU

  • 2021, Graduate Student Academic Scholarships (Second Level), XDU

  • 2021, OGB Large-Scale Challenge, KDD Cup 2021, Team Name: yfishlab, World Ranking: Top 48

  • 2020, Outstanding Doctoral Students, XDU

  • 2020, Graduate Student Academic Scholarships (Second Level), XDU

  • 2020, ZhiPu AI: COVID-19 Prediction, Top 7

  • 2020, iFLYTEK Algorithm Competition: Temperature Prediction Challenge, Team Name: San Ren Xing, Top 5,

    Lanzhou University of Technology Technology (LUT):

  • 2019, Outstanding Graduates Awards, LUT

  • 2018, Meritorious Winner of Mathematical Contest in Modeling (MCM/ICM)

  • 2018, First Prize in the 8th MathorCup College Student Mathematical Modeling Challenge

  • 2018, First Prize in the 6th Teddy Cup Data Mining Challenge Competition

  • 2018, Pacemaker to Merit Student, LUT

  • 2017, First Prize of 2017 China Cup · Science and Technology Innovation Contest

  • 2017, Second Prize in 2017 Asia and Pacific Mathematical Contest in Modeling

  • 2017, First Prize of Gansu Division in 2017 National College Mathematical Modeling Contest of Higher Education Cup

  • 2017, Third Prize in the 7th MathorCup College Student Mathematical Modeling Challenge

  • 2017, Merit Student, LUT

  • 2017, Merit Student, Gansu Province

  • 2017, National Encouragement Scholarship

  • 2016, National Encouragement Scholarship

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