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Yujie Chen

Incoming Ph.D. student in Computer Science at The Chinese University of Hong Kong, Shenzhen

I work on learning-based forecasting for energy systems and markets, with recent research spanning photovoltaic power forecasting, electricity price forecasting, crude oil forecasting, hybrid physical-data models, and trustworthy evaluation of large language models.

Energy forecasting, time-series learning, electricity markets, trustworthy AI, and hybrid physical-data modeling.

2026 Fall

Ph.D. in Computer Science

The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)

2022.09 - 2026.07

B.Sc. in Economics and Statistics

Dongbei University of Finance and Economics, Dalian, China

GPA: 4.42/5.0 ยท Rank: 1/60

Sep 2024 - Present

Research Assistant

School of Data Science, The Chinese University of Hong Kong, Shenzhen

Shenzhen, China

Aug 2024 - Sep 2024

Visiting Student

Medical Artificial Intelligence Lab, Westlake University

Hangzhou, China

Sep 2023 - Jun 2025

Team Member

Key Laboratory of Big Data Management, Optimization and Decision [Website]

Dalian, Liaoning, China

Developed the bionic robot real-time dialogue system.

Academic Services

Reviewer, Applied Energy

Reviewer, IEEE Transactions on Sustainable Energy

Social Services

Sep 2023 - Jul 2026

Vice President

Yixing Association

Dalian, Liaoning, China

Organized and managed innovation and entrepreneurship projects.

Competition Awards

  • National First Prize, China Undergraduate Mathematical Contest in Modeling (Team Leader)
  • M Award, Mathematical Contest in Modeling (MCM) (Team Leader)
  • National First Prize, National Undergraduate Statistical Modeling Competition (Team Leader)
  • National Third Prize, China International College Students' "Internet+" Innovation Competition
  • National Project Grant, College Student Innovation and Entrepreneurship Project
  • Third Prize, Challenge Cup Liaoning Province College Student Entrepreneurship Plan Contest

Scholarships

  • 2024 National Scholarship
  • 2023 National Inspirational Scholarship
  • First-Class Comprehensive Scholarship from University
Main figure for the PV forecasting paper
Applied Energy 2025

Enhancing PV Power Forecasting Accuracy through Nonlinear Weather Correction Based on Multi-Task Learning

Zhirui Tian, Yujie Chen* (co-first author), and Guangyu Wang. Applied Energy, 386:125525, 2025.

Main figure for the crude oil forecasting paper
Applied Soft Computing 2025

A Crude Oil Price Forecasting Framework Based on Constraint Guarantee and Pareto Front Shrinking Strategy

Yujie Chen and Zhirui Tian*. Applied Soft Computing, 112996, 2025.

Introduction figure for the PEARL paper
IEEE PES International Meeting 2026

PEARL: A Physics-Enhanced Adaptive Residual Learning Framework for PV Modeling

Yikai Lu, Yujie Chen, and Tongxin Li. 2026 IEEE PES International Meeting (PES IM), pp. 1-5, 2026.

Introduction figure for the PRISM paper
ACL Main Conference 2026

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

Yuhe Wu, Guangyu Wang, Yuran Chen, Jiatong Zhang, Yutong Zhang, Yujie Chen, Jiaming Shang, Guang Zhang, and Zhuang Liu. ACL 2026 Main Conference, 2026.

Main figure for the electricity price forecasting review
European Energy Market 2026

Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Fabian Leimgruber, Tara Esterl, Yuchen Tao, Lianlian Qi, Yujie Chen, Wentao Wang, et al. EEM 2026, accepted, indexing pending.