## Research It can be described as having a basic understanding of academia.
During her doctoral studies, she worked on GPUs and chips, but when she couldn't make it at NVIDIA, she started working on medical imaging at Jiaotong University.
She has no medical background, lacks knowledge of medicine, and cannot identify various components in the images.
Most of the first-authored papers are written by students who write code, run experiments, create visualizations, and write the papers. In the end, she claims to polish them and puts her name as the first author, while the students become second authors.
She has no understanding of code and straightforwardly admits, "Don't show me the code. I haven't run any neural network experiments, and I can't understand the code."
During project progress, she is very pushy, often asking in the group chat why things haven't been done yet, even at late hours past 11 or 12. She has no understanding of how long it takes to train a neural network, always indulging in wishful thinking, focusing only on results without considering the process.
Most of the awards are obtained through superficial projects and the support of the department for young teachers. Her defense always avoids critical topics and only touches on trivial matters. The demos involving software can only be clicked in a specific sequence, and demos involving papers use special methods to obtain good visualization results.
There is a senior student in the laboratory who is very talented and provides many useful ideas and suggestions. He speaks concisely, but he only guides others when the teacher is present. It's almost impossible to reach him privately.
## Expectations for Ph.D. students She doesn't have Ph.D. students but has some master's students.
She doesn't allow master's students to intern elsewhere; they can only work for her.
## Funding and Support The research funds allocated by the department are only spent on the senior student; other students don't get to see it. The laboratory has eight A10 GPUs, which are shared among around ten people. She frequently emphasizes that renting these eight A10 GPUs costs a fortune, and when students suggest more cost-effective alternatives, she ignores them. It's all about exploiting others! As for support for the students, there's a gathering once every two months? And she always tells students to eat less. Apart from that, there is nothing.
## Laboratory Atmosphere The relationship between the teacher and students is strained. She often criticizes students and shows no human care. She only cares about producing results, fabricating them, and solving problems on her own.
## Working Hours From Monday to Saturday, from 8 am to 10 pm, is the norm. There are no summer or winter vacations. There are biweekly group meetings, and competition within the group is encouraged. The daily motto is "suffer first, enjoy later," so students suffer daily while she enjoys.
## Students' Future Prospects The longer they stay, the worse their prospects become. She often claims to have collaborations with NVIDIA, but in reality, no one she recommended has been able to join there in recent years. Except for the senior student, no one else continues researching in the field of medical imaging. They all switch careers.
It can be described as having a basic understanding of academia.
During her doctoral studies, she worked on GPUs and chips, but when she couldn't make it at NVIDIA, she started working on medical imaging at Jiaotong University.
She has no medical background, lacks knowledge of medicine, and cannot identify various components in the images.
Most of the first-authored papers are written by students who write code, run experiments, create visualizations, and write the papers. In the end, she claims to polish them and puts her name as the first author, while the students become second authors.
She has no understanding of code and straightforwardly admits, "Don't show me the code. I haven't run any neural network experiments, and I can't understand the code."
During project progress, she is very pushy, often asking in the group chat why things haven't been done yet, even at late hours past 11 or 12. She has no understanding of how long it takes to train a neural network, always indulging in wishful thinking, focusing only on results without considering the process.
Most of the awards are obtained through superficial projects and the support of the department for young teachers. Her defense always avoids critical topics and only touches on trivial matters. The demos involving software can only be clicked in a specific sequence, and demos involving papers use special methods to obtain good visualization results.
There is a senior student in the laboratory who is very talented and provides many useful ideas and suggestions. He speaks concisely, but he only guides others when the teacher is present. It's almost impossible to reach him privately.
## Expectations for Ph.D. students
She doesn't have Ph.D. students but has some master's students.
She doesn't allow master's students to intern elsewhere; they can only work for her.
## Funding and Support
The research funds allocated by the department are only spent on the senior student; other students don't get to see it. The laboratory has eight A10 GPUs, which are shared among around ten people. She frequently emphasizes that renting these eight A10 GPUs costs a fortune, and when students suggest more cost-effective alternatives, she ignores them. It's all about exploiting others! As for support for the students, there's a gathering once every two months? And she always tells students to eat less. Apart from that, there is nothing.
## Laboratory Atmosphere
The relationship between the teacher and students is strained. She often criticizes students and shows no human care. She only cares about producing results, fabricating them, and solving problems on her own.
## Working Hours
From Monday to Saturday, from 8 am to 10 pm, is the norm. There are no summer or winter vacations. There are biweekly group meetings, and competition within the group is encouraged. The daily motto is "suffer first, enjoy later," so students suffer daily while she enjoys.
## Students' Future Prospects
The longer they stay, the worse their prospects become. She often claims to have collaborations with NVIDIA, but in reality, no one she recommended has been able to join there in recent years. Except for the senior student, no one else continues researching in the field of medical imaging. They all switch careers.
No, I don't recommend this PI.