I am pursuing a Master’s degree in Computer Science at the University of Electronic Science and Technology of China (UESTC). I am working as an Artificial Intelligence Algorithm Intern at Baidu. My research focuses on time series forecasting, parameter-efficient fine-tuning (PEFT) methods, and multimodal large language models (MLLM).

🔥 News

• 2023.06:  🎉🎉 One paper is accepted by IEEE Transactions on Sustainable Energy.
• 2023.05:  🎉🎉 Two papers are accepted by The 17th International Workshop on Semantic Evaluation, ACL 2023.

📝 Publications

📈 Time Series Forecasting

IEEE TSTE

A Hybrid Model for Long-Term Wind Power Forecasting Utilizing NWP Subsequence Correction and Multi-Scale Deep Learning Regression Methods

Yu Chang, Han Yang, Yuxi Chen, Mingrui Zhou, Huabin Yang, Yan Wang, Yanru Zhang

💬 Natural Language Processing

• niceNLP at SemEval-2023 Task 10: Dual Model Alternate Pseudo-labeling Improves Your Predictions, Yu Chang, Yuxi Chen, and Yanru Zhang, ACL 2023 Workshop.
• Sea_and_Wine at SemEval-2023 Task 9: A Regression Model with Data Augmentation for Multilingual Intimacy Analysis, Yuxi Chen, Yu Chang, Yanqing Tao, and Yanru Zhang, ACL 2023 Workshop.

🎖 Honors and Awards

• 2018.11, 🥉 The National College Student Mathematics Competition (Non Mathematics Majors).
• 2018.12, 🥈 The Shaanxi Division of the National College Student Mathematical Modeling Competition.
• 2019.03, 🥈 The Mathematics Contest in Modeling.
• 2019.11, 🥇 The National College Student Mathematics Competition (Non Mathematics Majors).
• 2020.03, 🥈 The Mathematics Contest in Modeling.

📖 Educations

• 2021.09 - now, Master, University of Electronic Science and Technology of China, Chengdu.
• 2017.09 - 2021.06, Undergraduate, Xi’an University of Posts and Telecommunications, Xi’an.

💻 Internships

• 2023.03 - now, Baidu, Beijing.