An investigation by The Paper found that in the National Youth Science and Technology Innovation Competition, a student has won the award for three consecutive years, and the award-winning achievements span physics, computer storage and calculation, and artificial intelligence. One of the award-winning achievements of the student surnamed Duan is highly similar to a national patent he had applied for earlier, and the inventor of the patent has the same name as the instructor of the student's award-winning project.
In addition, the second inventor of the patent is named Duan Shukai, who currently works as a professor, doctoral supervisor, and deputy dean of the School of Artificial Intelligence of Southwest University. The official website of the National Youth Science and Technology Innovation Competition shows that Duan won three awards when he was in his second year of junior high school, his third year in junior high school, and his first year in high school (2017-2019). The schools he belonged to were all the high schools affiliated with Southwest University.
Duan Mouyan has participated in the National Youth Science and Technology Innovation Competition for three consecutive years since the second year of junior high school, and won the third prize in the 32nd National Youth Science and Technology Innovation Competition, the Youth Science and Technology Innovation Achievements Competition, and the 33rd National Youth Science and Technology Innovation Achievement Competition respectively. The third prize in the Youth Science and Technology Innovation Achievements Competition in the Innovation Competition, and the first prize in the Youth Science and Technology Innovation Achievements Competition in the 34th National Youth Science and Technology Innovation Competition. The winning works are "Quantitative Analysis and Intelligent Optimization Methods for the "Picking Fish in Water" Problem", " Unmanned Driving Eagle - Intelligent Traffic Sign Recognition and APP Implementation Based on Deep Learning", "Using egg white as a component - research and preparation of flexible memristor and cross array".
An award-winning project of this student, the unmanned Eagle Eye, stated that after testing the traffic sign recognition database, the recognition accuracy of the system he designed reached 99.75, exceeding the current highest accuracy of 99.65. A professor of computer vision at a 985 university told The Paper after reading the introduction to the project, "It feels like it is at least the level of an undergraduate thesis. It would be a bit incredible if a third-year junior high school student could complete it independently without much help. It can be called Gotta be a prodigy. ?
But he also mentioned that if it is completed under guidance, it is not completely impossible, because he does not know the basics of the student's relevant aspects, how much time he invested, and how to guide him, so it is not clear. Not easy to say. ?
Based on the introduction to the project on the official website of the National Youth Science and Technology Innovation Competition, an engineer from an autonomous driving algorithm company told The Paper that the system recognition accuracy mentioned in the entries reached 99.75? ,? If it really surpasses other current scholars and achieves an accuracy of 99.75, it will be possible to publish a top paper in computer vision, so I feel that the water level is relatively high. ?