• I am WU JUNCHAO (吴俊潮). Currently, I am a first-year Ph.D. student in Computer Science at NLP2CT Lab, University of Macau, fortunately advised by Prof. Derek F. Wong. Previously, I completed my M.S. in Data Science (Computational Lingustics) at the same lab, co-advised by Prof. Derek F. Wong and Prof. Yuan Yulin. I achineved my bachelor’s degree at Beijing Normal University, Zhuhai, supervised by Prof. JiangYing and Prof. Yangjing.
• My current research interests are Natural Language Processing, Machine Translation and Trustworthy AI. Please feel free to contact me via email!

Research Interests

• Machine Translation: Low-Resource, LLM for MT
• Large Language Models: LLMs Evaluation, LLM-generated Text Detection, Data Selection
• Other Interests: Knowledge Graphs and Ontology, Public Opinion Analysis

News

• [2024-09-27] One paper accepted by NeurIPS 2024 D&B Track as first-author: DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios. We introduce a new benchmark, DetectEval, which covers multiple realistic scenarios, including usage of various prompts, human revisions of LLM-generated text, adversarial spelling errors, taking measures to attack detectors, etc., provide real utility to researchers on the topic and practitioners looking for consistent evaluation methods.
• [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

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

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

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

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

Services

• Conference Reviewer: ICLR (2025), NeurIPS (2024), CCL (2024), NLPCC (2024)
• Student Volunteer: MT Summit 2023
• Teaching Assistant
  • TA for Computational Linguistics (MSc) programme (2023 Fall)
  • AHGC7315 Language and Linguistics (2023 Spring)

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.