Ce Chi

Orcid: 0000-0002-2951-3585

According to our database1, Ce Chi authored at least 19 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs.
CoRR, January, 2026

2025
JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models.
CoRR, December, 2025

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models.
CoRR, June, 2025

STNet: Spatial-Temporal Transformers are Effective for Multivariate Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2025

InjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.
CoRR, 2024

2021
PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center.
IEEE Trans. Sustain. Comput., 2021

A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers.
Sustain. Comput. Informatics Syst., 2021

Improving energy efficiency in colocation data centers for demand response.
Sustain. Comput. Informatics Syst., 2021

A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020
An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Eco-friendly Dynamic Task Scheduling for Regional Data Center.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019
A market-oriented incentive mechanism for emergency demand response in colocation data centers.
Sustain. Comput. Informatics Syst., 2019

2018
Energy-aware Fault-tolerant Scheduling Scheme based on Intelligent Prediction Model for Cloud Data Center.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

2017
An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center.
Proceedings of the 2nd International Conference on Intelligent Information Processing, 2017


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