Biography

Hi🖖

I am Zonggen Li, just graduated at the Ludwig Maximilian University of Munich LMU majoring in Computer Science, with a minor in Computational Linguistics. I completed my undergraduate thesis on Domain Adaptation under the supervision of Prof. Dr. Thomas Seidl. During this period thanks to LMU's academic excellence in the field of NLP, I was fortunate enough to attend the introductory course of Prof. Dr. Hinrich Schütze. I am currently working as a Student Assistant in the MaiNLP Lab for Prof. Dr. Barbara Plank. Previously, I was fortunate to work on Cryptography with Prof. Dr. Shengke Zeng.

In the last application season, I was fortunate to receive admissions to the Advanced Computing program at Imperial College London and Oxford. Although I decided to stay in Germany for personal reasons, I made many lifelong friends based on this experience. We established the Global CS Global CS project together, hoping to provide advice for students applying for CS programs through this website. Welcome to join us! I'm trying to update my undergraduate course notes in blogs about my major and minor. Hopefully I'll have time to perfect it😊.

I possess a profound curiosity about humanity and the vast expanse of our world, while simultaneously embodying the qualities of a swift and unwavering learner and adept problem solver. Furthermore, I adamantly oppose the utilization of societal conventions as the sole measure of accomplishment. Personally, I find immense fulfillment in engaging with captivating ventures. When dusk settles, even if I don't reach the stars, I can rest assured knowing that I have elevated myself from the earthly plane and made a meaningful contribution to something truly significant.

„Übers endlose Sternenzelt musst du reisen.“

Whether you'd like to work with me, collaborate on a cool project or something else, feel free to get in touch!

🥨 Btw, perhaps you are interested in the German grading system, which I know can be quite complex. Here, you can see a conversion formula for German grades to a percentage-based system, as provided by the Conference of Ministers of Education and Cultural Affairs (Kultusministerkonferenz). For a clearer understanding, here you can also see the conversion tables provided by the University of Munich and RWTH Aachen (please note that the highest grade in the Computer Science department is 1.0). Just for fun, you can also try using the tool provided by the TU Munich to convert your grades into the German grading system :)

Interests
  • Semantic Representation
  • Sentiment Classification
  • Low-Resource NLP
  • Large Language Models
  • Deep Learning
  • Active Domain Adaptation
Education
Assistant Responsibilities

Timeline

 
 
 
 
 
University of Munich
Undergraduate Dissertation: Exploring the Gap between Unsupervised, Semi-Supervised and Active Domain Adaptation
Jul. 2023 – Jan. 2024
 
 
 
 
 
Microsoft
Germany's National Scholarship
Oct. 2023 – Present
Awarded by University of Munich (1.5%).
Funded by The Federal Ministry of Education and Research of Germany and Amazon Deutschland.
 
 
 
 
 
ByteDance
AGCVT-Prompt: A Prompt Learning Method for Automatically Generating Chain of Thought and Verbalize
Aug. 2023 – Jan. 2024
 
 
 
 
 
PingCAP
Amazon Future Engineer Program
Jun. 2023 – Sept. 2024
Career planning and training.
 
 
 
 
 
Microsoft
Germany's National Scholarship
Oct. 2022 – Sept. 2023
Awarded by University of Munich (1.5%).
Funded by The Federal Ministry of Education and Research of Germany and Amazon Deutschland.
 
 
 
 
 
ByteDance
Peer Reviewer for Journal
since 2023