Mingyuan Yang/杨明远

I am an undergraduate majoring in Computer Science from Honors College, Northwestern Polytechnical University (CHN).

At School of Artificial Intelligence, OPtics and ElectroNics, Northwestern Polytechnical University. My research interests focus on diffusion language models and multi-modal learning.

I has done research on Bayesian statistics and time series analysis at Center for Quantitative Economics, JiLin University.

Email  /  Google Scholar  /  Github

profile photo
News

[2024-12] A software copyright and a patent on deep learning were accepted, thanks to all co-authors!

[2024-11] Awarded the China National Scholarship for undergraduate student!

[2024-11] Awarded the Academic Star and the Science and Technology Star!

[2024-07] Attended 2024 Asian Summer School in Econometrics and Statistics!

[2024-07] A patent on Bayesian algorithm is being submitted, thanks to all co-authors!

[2024-05] Start scientific research on diffusion language models and effective mechanism of multi-modal learning at iOPEN institute of NWPU!

[2024-05] Our team won the championship in Robocup China Robot Competition, thanks to all teammates!

[2023-12] Start scientific research on Bayesian statistics and time series analysis at Center for Quantitative Economics of JiLin University!

[2023-10] Awarded the School Scholarship for undergraduate student!

[2023-06] Two of the team's projects were selected as National-level Undergraduate Training Programs for Innovation and Entrepreneurship!

[2023-05] Successfully join the NWPU Dancing Robot Research & Training Base!

[2022-09] Start undergraduate studies at Northwestern Polytechnical University!

Selected Honors

• China National Scholarship for undergraduate student (highest student honor in China, awarded to top 0.2%) , 2024.


Publications(* equal contribution)

Projects
clean-usnob NWPU Dancing Robot Research & Training Base

Mingyuan Yang, Yilin Han, Zixuan Zhang, Liao Feng, Yuchi Duan, Qingyuan Sun, Haojie Sun

RoboCup, 2024
Organizations (Previous version) / Code

Using deep learning algorithms combined with multi-sensor, search for several victims placed in the disaster scene simulation site and draw site map.

clean-usnob Financial forecast acceleration algorithm development (Based on FPGA chip)

Mingyuan Yang, Mingda Yang, Xuejing Ding, Yixin Han, Jinyun Fan, Jiaqi Li, Yang Liu

Code(Only part of it is made public)

Bayesian algorithms and finite scoring algorithms that accelerate financial market forecasting.



Updated at Feb. 2025
Thanks Jon Barron for this amazing template.