I am Yu Sha (🦈沙毓🦈), now a Postdoctoral Researcher / Assistant Researcher at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), a member of Xidian-FIAS Joint Research Center (XFJRC) and Giersch Science Center (GSC), as well as a council member of the Artificial Intelligence and Robotics Medical Society in Lintong District, Xi’an. During 2019 to 2025, I was a PhD student at Xidian University, co-advised by Prof. Bo Liu and Prof. Shuiping Gou. During 2020 to 2022, I was a visiting scientist in "Deepthinkers" group at Frankfurt Institute for Advanced Studies (FIAS), 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.
My research interests include AI for Industry/Science (especially AI for acoustic damage detection and diagnosis) and Physics-Informed Machine Learning / Deep Learning. I have published 11+ papers (
🔥 News
- 25/10/2025 📢📢 I received the Best Oral Presentation Award at 2025 IEEE International Conference on Low Carbon and Smart Energy.
- 01/08/2025 📢📢 I joined The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) as a Postdoctoral Researcher.
- 17/06/2025 📢📢 I obtained PhD degree from Xidian University (XDU).
- 03/03/2025 🎉🎉 one paper has been accepted by Frontiers in Neuroscience.
- 29/11/2024 🎉🎉 one paper has been accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).
- 19/08/2024 🎉🎉 one paper has been accepted by Expert Systems with Applications (ESWA).
- 17/05/2024 🎉🎉 one paper has been accepted by ACM SIGKDD 2024 (CCF-A).
- 16/08/2023 🎉🎉 one paper has been accepted by Machine Intelligence Research.
- 01/12/2022 🎉🎉 one paper has been accepted by Artificial Intelligence in Geosciences (AIG).
- 30/09/2022 📢📢 I came back to Xidian University (XDU) as a PhD visiting student.
- 01/08/2022 🎉🎉 one paper has been accepted by Digital Holography and Three-Dimensional Imaging 2022.
- 19/05/2022 🎉🎉 one paper has been accepted by ACM SIGKDD 2022 (CCF-A).
- 19/04/2022 🎉🎉 one paper has been accepted by Engineering Applications of Artificial Intelligence (EAAI).
- 30/09/2020 📢📢 I went to Frankfurt Institute for Advanced Studies (FIAS) as a PhD visiting student.
- 10/09/2019 📢📢 I was admitted to Xidian University (XDU) as a Fast-Track PhD student.
🔍 Researches
AI in Industry
- Supervised learning for acoustic damage detection and diagnosis.
- Unsupervised learning for acoustic signal anomalous sound detection.
AI for Science
- Supervised / Unsupervised learning for medical images / signals.
Phyeical Knowledge-Informed Machine Learning/Deep Learning
- Physics knowledge-designed network.
- Physics knowledge-embedded methods.
- Physics knowlegde Constraint losses.
💼 Experiences
- 08/2025 – present, Postdoctoral Researcher, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China.
- 09/2020 – 06/2025, PhD Visiting Student, Xidian-FIAS Joint Research Center (XFJRC), Germany.
- 09/2020 – 06/2025, PhD Visiting Student, Giersch Science Center (GSC), Germany.
- 09/2020 – 10/2022, PhD Visiting Student, Frankfurt Institute for Advanced Studies (FIAS), Germany.
- 09/2019 – 06/2025, PhD Student, School of Artificial Intelligence, Xidian University (XDU), China.
🎓 Educations
- 09/2019 – 06/2025, School of Artificial Intelligence, Xidian University (XDU), China.
- 09/2015 – 06/2019, School of Science, Lanzhou University of Technology (LUT), China.
📚 Publications
📝 Papers:
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
Expert Systems with Applications | JCR: Q1 | SCI: 1-Top | Paper
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
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 | JCR: Q1 | SCI: 1-Top | Paper | Code
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
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 | JCR: Q1 | SCI: 2 | Paper
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 | JCR: Q1| SCI: 2-Top | Paper | 
Self-supervised, Non-Contact Heartbeat Detection Based on Ballistocardiograms utilizing Physiological Information Guidance. Shuiping Gou, Jiahui Fu, Yu Sha, Zhen Cao, Zhang Guo, Jason K. Eshraghian, Ruimin Li, Licheng Jiao (IEEE Journal of Biomedical and Health Informatics | JCR: Q1 | SCI: 1-Top | Paper | 
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 | EI | Paper | 
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 | JCR: Q1 | SCI: 2 | Paper | Code | 
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 | 
Smart home system based on STC89C52. Liang Qin, Yu Sha, Yumeng Xu (Practical Electronics | 2018 | Paper)
Study on operation analysis and decision making for sharing-bicycles. Hong Zhang, Dixin Zhou, Chuanqi Cheng, Yu Sha (Big Data Research | 2019 | Paper)
💡 Patents:
-
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 -
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 -
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 -
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)
- 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 | 450000 RMB | Project Participant | Completed
- Knee intensity recognition for smart wearable devices based on machine learning
Xijing Hospital | 200000 RMB | Project Participant | Completed
Frankfurt Institute for Advanced Studies (FIAS)
- Cavitation and leakage detection in large pump/pipe using AI method
SAMSON AG | 500000 Euro | Project Participant | Completed
Lanzhou University of Technology (LUT)
- LoRa based non-contact life detection system
National Undergraduate Innovation and Entrepreneurship Training Project | Project Participant | Completed - Evaluation of students’ comprehensive ability and program design based on fuzzy theory
LUT Innovation and Entrepreneurship Training Program | Project Leader | Completed - Research on the cultivation of college students’ creative ability by mathematical modeling competition
LUT Technology Innovation Fund | Project Participant | Completed - WeChat program design for second-hand transaction and donation platform on campus
LUT Technology Innovation Fund | Project Participant | Completed
🏆 Honors and Awards
The Chinese University of Hong Kong, ShenZhen (CUHK-SZ)
- 2025, Best Oral Presentation Award, ICLCSE 2025
Xidian University (XDU)
- 2025, Outstanding Graduate Doctoral Student, 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 (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
💬 Invited Talks
- 25/10/2025, 2025 IEEE International Conference on Low Caebon and Smart Energy (Best Oral Presentation Award).
- 27/10/2024, Academy of Advanced Interdisciplinary Research Sub-Forum, The 9th Huashan International Forum for Young Scholars.
- 27/08/2024, Industrial / Manufacturing Applications, ACM SIGKDD2024.
- 16/05/2022, Elite Scholars Sub Forum, International Advanced Interdisciplinary Forum.
- 16/07/2021, “AI + “ Sub Forum, International Advanced Interdisciplinary Forum & Sino-German International Academic Salon.