Fuxin Jiang

According to our database, Fuxin Jiang authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling.

Jiadong Chen, Xiao He, Hengyu Ye, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao

CoRR, August, 2025

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services.

Jiadong Chen, Hengyu Ye, Fuxin Jiang, Xiao He, Tieying Zhang, Jianjun Chen, Xiaofeng Gao

CoRR, July, 2025

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale.

Haoyang Li, Shang Wu, Xiaokang Zhang, Xinmei Huang, Jing Zhang, Fuxin Jiang, Shuai Wang, Tieying Zhang, Jianjun Chen, Rui Shi, Hong Chen, Cuiping Li

CoRR, March, 2025

A deep multi-agent reinforcement learning approach for the micro-service migration problem with affinity in the cloud.

Ning Ma, Angjun Tang, Zifeng Xiong, Fuxin Jiang

Expert Syst. Appl., 2025

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments.

Rong Kang, Yanbin Chen, Ye Liu, Fuxin Jiang, Qingshuo Li, Miao Ma, Jian Liu, Guangliang Zhao, Tieying Zhang, Jianjun Chen, Lei Zhang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024

Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting.

Yuang Zhao, Tianyu Li, Jiadong Chen, Shenrong Ye, Fuxin Jiang, Tieying Zhang, Xiaofeng Gao

CoRR, 2024

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting.

Hengyu Ye, Jiadong Chen, Shijin Gong, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao

CoRR, 2024

Resource Allocation with Service Affinity in Large-Scale Cloud Environments.

Zuzhi Chen, Fuxin Jiang, Binbin Chen, Yu Li, Yunkai Zhang, Chao Huang, Rui Yang, Fan Jiang, Jianjun Chen, Wu Xiang, Guozhu Cheng, Rui Shi, Ning Ma, Wei Zhang, Tieying Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems.

Jiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, Xiaofeng Gao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SUFS: A Generic Storage Usage Forecasting Service Through Adaptive Ensemble Learning.

Luming Sun, Shijin Gong, Tieying Zhang, Fuxin Jiang, Zhibing Zhao, Jianjun Chen, Xinyu Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method.

Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, Jingyun Sun

Appl. Soft Comput., 2021

Forecasting Port Container Throughput with Deep Learning Approach.

Fuxin Jiang, Gang Xie, Shouyang Wang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network.

Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, Jingyun Sun

CoRR, 2020

A Novel Hybrid Approach with A Decomposition Method and The RVFL Model for Crude Oil Price Prediction.

Chengyuan Zhang, Fuxin Jiang, Shouyang Wang, Wei Shang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Stock Index Forecasting by Hidden Markov Models with Trends Recognition.

Xiaoning Cui, Wei Shang, Fuxin Jiang, Shouyang Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Prediction of Movie Playback Based on Ordinal Support Vector Machine Classification.

Fuxin Jiang, Wei Shang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018