Fuxin Jiang

According to our database, Fuxin Jiang authored at least 24 papers between 2018 and 2026.

Collaborative distances:

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

2026

Column generation-based diving heuristic and segmentation approach for the micro-service allocation problem with affinity in cloud computing.

Ning Ma, Angjun Tang, Yu Li, Wei Zhang, Fuxin Jiang, Zuzhi Chen

Oper. Res., June, 2026

Uncertainty-Aware Online Time Series Multi-Step Forecasting Framework in Cloud Systems.

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

IEEE Trans. Knowl. Data Eng., May, 2026

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation.

Huawei Lin, Peng Li, Jie Song, Fuxin Jiang, Tieying Zhang

CoRR, May, 2026

Can Large Language Models be a Cardinality Estimator? An Empirical study.

Liangzu Liu, Yiyan Wang, Yinjun Wu, Runze Su, Zhuo Chang, Peizhi Wu, Jianjun Chen, Fuxin Jiang, Rui Shi, Bin Cui, Tieying Zhang

CoRR, March, 2026

Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning.

Dan Qiao, Binbin Chen, Fengyu Cai, Jianlong Chen, Wenhao Li, Fuxin Jiang, Zuzhi Chen, Hongyuan Zha, Tieying Zhang, Baoxiang Wang

CoRR, March, 2026

DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation.

Meihao Fan, Ju Fan, Yuxin Zhang, Shaolei Zhang, Xiaoyong Du, Jie Song, Peng Li, Fuxin Jiang, Tieying Zhang, Jianjun Chen

CoRR, February, 2026

Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning.

Yu Li, Mingyang Yi, Xiuyu Li, Ju Fan, Fuxin Jiang, Binbin Chen, Peng Li, Jie Song, Tieying Zhang

CoRR, February, 2026

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting.

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

Proceedings of the Database Systems for Advanced Applications, 2026

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.

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

Proc. VLDB Endow., 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

Proc. VLDB Endow., July, 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