WU JUNCHAO

I am WU JUNCHAO (吴俊潮). Currently, I am an M.S. Student at Data Science - Computational Lingustics, University of Macau, fortunately advised by Prof. Derek F. Wong and Prof. Yuan Yulin. Previously,I am an undergraduate student at Beijing Normal University, Zhuhai, supervised by Prof. JiangYing and Prof. Yangjing.
My current research interests are Natural Language Processing, Machine Translation and Knowledge Graphs. Please feel free to contact me via email!

Research Interests

Machine Translation: Unsupervised Machine Translation, Low-resource Translation
Large Language Models: Evaluation of LLMs, LLM-generated Text Detection, Prompt Engineering
Other Interests: Knowledge Graphs and Ontology, Public Opinion Analysis

News

[2024-05-08] We release a new black-box zero-shot LLM-generated text detection method called GECScore 🔍, a really simple but effective approach based on the observation that human-written texts often contain more grammatical errors than LLM-generated texts. You can check it on arxiv: Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore.
[2024-01-30] Fortunately, I have been admitted to the Ph.D. program and will continue to pursue my Ph.D. degree in the NLP2CT Lab at UM, starting in August 2024. 💪
[2023-12-23] Really excited that my girlfriend and I published our first paper. It is worth commemorating this moment. Welcome to access it: Evolutionary game analysis of prefabricated buildings adoption under carbon emission trading scheme.
[2023-10-23] Our survey paper on LLM-generated Text Detection is now available on arxiv: A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions.
[2023-10-13] One paper accepted by MT Summit 2023 as co-author, and is now available on arxiv: Human-in-the-loop Machine Translation with Large Language Model.

Publications

2024

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore

Junchao Wu , Runzhe Zhan, Derek F. Wong*, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang

Preprint 2024

[PAPER] [CODE]

2023

A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions

Junchao Wu , Shu Yang, Runzhe Zhan, Yulin Yuan*, Derek F. Wong*, Lidia S. Chao

Preprint 2023

[PAPER] [CODE]

Human-in-the-loop Machine Translation with Large Language Model

Xinyi Yang, Runzhe Zhan, Derek F. Wong*, Junchao Wu , Lidia S. Chao

Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track 2023

[PAPER] [CODE]

A Hybrid Medium and Long-Term Relative Humidity Point and Interval Prediction Method for Intensive Poultry Farming

Hang Yin *, Zeyu Wu, Junchao Wu , Junjie Jiang, Yalin Chen, Mingxuan Chen, Shixuan Luo, Lijun Gao *

Mathematics 2023

[PAPER] [CODE]

A Multistep Interval Prediction Method Combining Environmental Variables and Attention Mechanism for Egg Production Rate

Hang Yin *, Zeyu Wu, Junchao Wu , Yalin Chen, Mingxuan Chen, Shixuan Luo, Lijun Gao, Shahbaz Gul Hassan *

Agriculture 2023

[PAPER] [CODE]

2022

The Topic Evolution of Danmaku Text Based on BTM – Taking the Context of COVID-19 as an Example

Xin Chen, Yixin Zhang, Junchao Wu , Lingyu Guo, Jiaxuan Chen and Jing Yang

BDAI（2022 IEEE the 6th International Conference on Big Data and Artificial Intelligence）2022 2022

[PAPER] [CODE]

Best Oral Presentation Award

多特征融合的弹幕新词发现模型(A New Word Discovery Model for Screen-bullet based on fusion of Multiple Features)

Jing Yang*, Xin Chen, Junchao Wu , Lingyu Guo, Jiaxuan Chen and Daoming Lai

计算机应用研究（Computer Application Research） 2022

[PAPER] [CODE]

历时弹幕语料库的构建与探析——以青年亚文化弹幕为例(Construction and Analysis of Diachronic Bullet Corpus——Taking Youth Subculture Bullet as an Example)

Xin Chen, Yixin Zhang, Junchao Wu , Lingyu Guo, Zehui Yu and Jing Yang*

情报探索（Information Research） 2022

[PAPER] [CODE]

基于知识图谱的长征红色文化资源数字化研究与应用(Research and Application of Digitalization of Long March Red Cultural Resources Based on Knowledge Graph)

Lingyu Guo*, Junchao Wu , Xin Chen, Ying Jiang and Zhizhu Geng

电子技术与软件工程（Electronic Technology and Software Engineering） 2022

[PAPER] [CODE]

2021

“The Canton Canon” Digital Library Based on Knowledge Graph - Taking the Revolutionary Archives of Canton in the Republic of China as an Example

Junchao Wu *, Ying Jiang, Xin Chen, Lingyu Guo, Xiaotong Wei and Xiaoyan Yang

ICEIT（2021 IEEE 10th International Conference on Educational and Information Technology）2021 2021

[PAPER] [CODE]

Best Presentation Award

Awards

Outstanding graduate of Beijing Normal University,Zhuhai, 2022
The Outstanding Graduation Thesis of Beijing Normal University, Zhuhai, 2022
Professional Scholarship of Beijing Normal University, Zhuhai, 2019, 2020, 2021
Academic Scholarship of Beijing Normal University, Zhuhai, 2021
Outstanding student cadre Honor of Beijing Normal University, Zhuhai, 2019, 2020
National Second Prize & Guangdong First Prize in the 7th Teddy Cup Data Mining Challenge (Title: Analysis of Safe Driving Behavior of Transport Vehicles), 2019
First Prize in China University Students Mathematical Contest in Modeling, Guangdong Division (Title: Credit Decisions of Small, Medium and Micro Enterprises), 2020
Best Presentation Award in the 10th IEEE International Conference on Education and Information Technology, ICEIT 2021
Third Prize in the 8th “Challenge Cup” College Students’ Extracurricular Academic Science and Technology Works Competition in Beijing Normal University, Zhuhai, 2020
Third Prize in the 2nd Guangdong-Hong Kong-Macau College Student Public Administration Data Analysis Contest, 2022

Professional skills

English Level: IELTS(6.5), CET-6(507)
Programming Languages: C, Python, Java, JavaScript, SQL, Bash
Development Frameworks: SpringBoot, React.js, Flask
Deep Learning Tools: Scikit-learn, PyTorch, Keras, Fairseq, Transformers
DB Tools: Neo4j, MySQL, Oracle DB
Other Tools: WebLogic, Apache Ant, Jena, Git, Hanlp, Echart
Soft Skills: Leadership, Event Management, Writing, Public Speaking, Time Management

Others

🎓 If you are also interested in natural language processing and machine translation, you can follow my lab and lab members: NLP2CT LAB, I love them.
⭐Zhan Runzhe is my current advisor, who focus on machine translation and LLMs. He is a brilliant scientist and one of the nicest people I have ever met.
✨Chen Weiyu was my advisor when I was an undergraduate student, and he is planning his own business territory now.
🌈Chen Xin is one of my best friends, who focus on Fintech and NLP at University of Southampton currently, he has many interesting dreams.