Feng Jiang

The Research on the User Behavior of Adjustment Power Flow based on Deep Learning Algorithm

2018

The arrangement of operation mode is very important for the safe and stable operation of the power grid. The calculation of the operation mode of the power system starts from the load forecasting, realizes the …

Text Sentiment Analysis of Movie Reviews Based on Word2Vec-LSTM

2022

A hybrid model based on Word2Vec-LSTM is utilized to analyze movie review sentiment in this paper. Word2Vec integrates text context semantics to generate text vector, and LSTM extracts semantic information to classify positive and negative …

An Ensemble Learning Algorithm Based on Resampling and Hybrid Feature Selection, with an Application to Software Defect Prediction

2022

In recent years, software defect prediction(SDP) based on ensemble learning has attracted extensive attention. Hevertheless, the forthcoming integrated learning means still have some shortcomings in improving the divergence of base classifiers. How to improve the …

Service Level Objective Adaptive Energy Efficiency Management

2023

Cloud applications are transforming to microservice based deployment. Microservice comes with many advantages-scalability, agility, availability – and it suits the complicated cloud applications. For microservice deployment, service quality metrics play important role to ensure reliable …

Learning cooperative strategies in StarCraft through role-based monotonic value function factorization

2024 · Electronic Research Archive

<abstract><p>StarCraft is a popular real-time strategy game that has been widely used as a research platform for artificial intelligence. Micromanagement refers to the process of making each unit perform appropriate actions separately, depending on the …

Comparative Evaluation of Large Reasoning Models and Large Language Models in Radiation Oncology: Performance in Nasopharyngeal Carcinoma-Related Queries (Preprint)

2025

<sec> <title>BACKGROUND</title> Large language models (LLMs), such as ChatGPT-4, have demonstrated potential in supporting medical decision-making but remain limited in scenarios requiring subjective judgment and complex clinical reasoning. Emerging large reasoning models (LRMs), including DeepSeek-R1 …

Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Deep learning has significantly advanced numerous fields by training on extensive annotated datasets. However, this data-driven paradigm faces limitations such as limited adaptability and high annotation costs, particularly when precise adherence to detailed, domain-specific guidelines …