Yue Pang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
Developing A Domain-Specific LLM for Optical Networks: A Reinforcement Learning-Based Fine-Tuning Framework.
IEEE Trans. Netw. Serv. Manag., 2026

Label noise learning based SAR target classification method.
Neural Networks, 2026

2025
Resilience-Aware Elastic Scaling for Cloud-Native Online DL Training on Multi-Tenant GPU Clusters.
Proc. VLDB Endow., November, 2025

Clustering Ensemble Based on Fuzzy Matrix Self-Enhancement.
IEEE Trans. Knowl. Data Eng., January, 2025

Design and Evaluation of an LLM-Based Agent for QoT Estimation and Performance Optimization in Optical Networks.
IEEE Open J. Commun. Soc., 2025

Graph Structure-Enhanced Large Language Model for Optical Network Fault Diagnosis: An Explainable Alarm Root Cause Localization Approach.
IEEE Internet Things J., 2025

Large Language Model for Optical Network Automation: Prospects and Challenges.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

2024
AlarmGPT: an intelligent alarm analyzer for optical networks using a generative pre-trained transformer.
J. Opt. Commun. Netw., June, 2024

Blockchain for the digital twin-driven autonomous optical network.
J. Opt. Commun. Netw., March, 2024

Geomorphology, Mineralogy, and Chronology of Mare Basalts in the Oceanus Procellarum Region.
Remote. Sens., February, 2024

Large language model-based optical network log analysis using LLaMA2 with instruction tuning.
J. Opt. Commun. Netw., 2024

When Large Language Models Meet Optical Networks: Paving the Way for Automation.
CoRR, 2024

CPFU-Net: A Channel Position Wide Focus Mechanism based on U-Net for Building Image Segmentation Algorithm.
Proceedings of the 2024 4th International Conference on Artificial Intelligence, 2024

Exploring Therapeutic Indications and Clinical Applications of Music Therapy via Data Mining.
Proceedings of the 2024 International Conference on Big Data Mining and Information Processing, 2024

2022
Hierarchical electricity time series prediction with cluster analysis and sparse penalty.
Pattern Recognit., 2022

Blockchain-Based Reliable Traceability System for Telecom Big Data Transactions.
IEEE Internet Things J., 2022

Exploring Enterprise Operating Indicator Data by Hierarchical Forecasting and Root Cause Analysis.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021
DRAM-Based Processor for Deep Neural Networks Without SRAM Cache.
Proceedings of the Intelligent Computing, 2021

2020
Solar cell surface defect inspection based on multispectral convolutional neural network.
J. Intell. Manuf., 2020

The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data.
CoRR, 2020

A Space-Air-Ground Integrated Network Assisted Maritime Communication Network Based on Mobile Edge Computing.
Proceedings of the 2020 IEEE World Congress on Services, 2020

Breaking the Memory Wall for AI Chip with a New Dimension.
Proceedings of the 5th South-East Europe Design Automation, 2020

2019
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder.
Proceedings of the Database Systems for Advanced Applications, 2019

Inertial Sensors to Detect Multiple Gait Disorders.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Electricity Consumption Model Analysis based on Sparse Principal Components.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Hierarchical Electricity Demand Forecasting by Exploring the Electricity Consumption Patterns.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018


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