Zixiao Jin (金子潇)

Zixiao Jin (金子潇)

元、亨、利、贞

About Me

I am a senior student and will pursue postgraduate studies in China University of Geosciences, Wuhan.

I am studying under Professor Tang and my current research interests include:

  1. multi-modal learning and its application.
  2. graph neural network and its application.
  3. diffusion model and its application.

If you are interested in the research direction I am interested in and want to communicate with me or have any questions you would like to consult me, please contact me!

Education

China University of Geosciences, Wuhan, School of Computer Science
September 2020 - June 2024
B.S. in Intelligent Science and Technology

“I” on Many Skills

  1. I can independently based on pytorch framework to build models and training and testing.

  2. I also have some data analysis ability and frequently use numpy, pandas, scipy, matplotlib and other toolkits to participate in many mathematical modeling and data analysis competitions and have won good awards.

  3. I can use QT(GUI) to make software with a visual interface and successfully apply for software copyright.

  4. I know a little bit about C++, because my frequent use of C++ ended at the end of my sophomore semester.

  5. I have a little knowledge of JAVA, because I often use JAVA, until success submit JAVA course design of the course.

  6. I can implement simple optimization algorithms such as particle swarm, simulated annealing, etc., because I took a course on intelligent optimization algorithms in my junior year.

  7. I am teaching myself MySQL, because I hope it will be helpful for my future research.

Recent News

Waiting for updated.

Recent Publications

2024




(IF: 8.5, 中科院1区top) Jin, Z., Wang, M., Zheng, X., Chen, J., & Tang, C. Drug side effects prediction via cross attention learning and feature aggregation. Expert Systems with Applications, 248, 123346.





(IF: 7.7, 中科院2区top) Jin, Z., Wang, M., Tang, C., Zheng, X., Zhang, W., Sha, X., & An, S. Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion. Computers in Biology and Medicine, 169, 107904.