About me

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Prof. Dr.-Ing. Wentao Feng has significantly contributed to intelligent simulation, multi-view learning, the modeling of deep energy development based on hydraulic fracturing, engineering applications of multi-stage fracturing in geothermal resource development, and strategic planning for reducing and enhancing seismic risks in geothermal systems. His research results have been applied to the large-scale geothermal research project MAGS2 funded by the Federal Ministry of Economic Affairs and Energy (BMWi) in Germany and the DGMK-680 series project financed by the DGMK German Society for Sustainable Energy Carriers, Mobility and Carbon Cycles e.V. The industrial intelligence methods and technologies for nuclear industry scenarios that were involved in the research have also been applied to engineering projects under China National Nuclear Corporation (CNNC).

Curriculum Vitae

Work experience:
2024.09 to now   Associate Professor at Sichuan University
2021.05 - 2024.08   Postdoctoral Researcher at Sichuan University
2021.08 - 2022.01   Temporarily Transfer to the China Academic Degrees and Graduate Education Development Center (CDGDC)
2015.04 - 2020.06   A full-time researcher at TU Clausthal and the Lower Saxony Energy Research Center (EFZN), Germany

Education:
2015.04 - 2019.12   Promotion at TU Clausthal, Doktorvater: Prof. Dr.-Ing. habil. Michael Z. Hou
2012.10 - 2015.03   Studying for a Master’s degree at TU Clausthal
2010.10 - 2013.03   Studying for a Bachelor’s degree at TU Clausthal
2008.09 - 2012.06   Studying for a Bachelor’s degree at Sichuan University

Some academic works:
a) At present, more than 40 papers have been published in authoritative international and domestic academic journals and international conferences, including 21 papers indexed by SCI;
b) 2 academic monographs were published in English, and one is a solo work;
c) More than 10 national patents have been applied for, and 10 have been authorized;
d) Responsible for and participated in a total of 25 government-sponsored research projects as well as consulting projects at all levels in China and Germany;
e) A reviewer for many authoritative academic journals and international conferences, including IEEE Transactions on Neural Networks and Learning Systems (TNNLS, ISSN: 2162-2388), Renewable Energy (ISSN: 0960-1481), IEEE Transactions on Multimedia (TMM, ISSN: 1520-9210), IEEE Transactions on Image Processing (TIP, ISSN: 1057-7149), IEEE Transactions on Cybernetics (TCYB, ISSN: 2168-2267), and the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).

Highlight publications

  1. Shudong Huang, Rui Huang, Ming Hu, Wentao Feng*, Jiancheng Lv, “DONIS: Importance Sampling for Training Physics-Informed DeepONet”, The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), PP. 5417-5425, Aug. 2025. Original Link (CCF-A)

  2. Shudong Huang1, Wentao Feng1, Chenwei Tang, Zhenan He, Caiyang Yu, Jiancheng Lv*, “Partial Differential Equations Meet Deep Neural Networks: A Survey”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 36(8), pp. 13649-13669, Mar. 2025. Original Link (CAS Journal Ranking Q1Top and CCF-B)

  3. Shudong Huang, Hecheng Cai, Hao Dai, Wentao Feng*, Jiancheng Lv, “Adaptive Instance-wise Multi-view Clustering”, in Proceedings of the 32nd ACM Multimedia Conference (MM ‘24), pp. 1-9, Oct. 2024. Original Link (CCF-A)

  4. Jizhe Zhou, Xiaochen Ma, Xia Du, Ahmad Khayyat, Wentao Feng*, “Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning”, in Proceedings of the International Conference on Computer Vision (ICCV) 2023, PP. 1-10, Jul. 2023. Original Link (CCF-A)

  5. Muhammad Haris, Michael Z. Hou, Wentao Feng*, Faisal Mehmood, Ammar bin Saleem, “A regenerative Enhanced Geothermal System for heat and electricity production as well as energy storage”, Renewable Energy, Vol. 197, pp. 342-358, Sep. 2022. Original Link (CAS Journal Ranking Q1Top)

  6. Shudong Huang1, Hongjie Wu1, Yazhou Ren, Ivor Tsang, Zenglin Xu, Wentao Feng*, Jiancheng Lv*, “Multi-view Subspace Clustering on Topological Manifold”, in Proceedings of the Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pp. 1-12, Nov. 2022. Original Link (CCF-A)

  7. Wentao Feng, “Numerical study of the stimulation related thermo-hydro-mechanical processes in tight gas and deep geothermal reservoirs”, Cuvillier Verlag Göttingen, 2020. Original Link (Monograph, a solo work)

  8. Wentao Feng, Patrick Were, Mengting Li, Zhengmeng Hou, Lei Zhou*, “Numerical study on hydraulic fracturing in tight gas formation in consideration of thermal effects and THM coupled processes”, Journal of Petroleum Science and Engineering, Vol. 146, pp. 241-254, Oct. 2016. Original Link (CAS Journal Ranking Q2Top, 42 citations on Google Scholar)

*: Corresponding author.
1: First author.
CAS: Chinese Academy of Sciences