Kaixuan Ji

According to our database1, Kaixuan Ji authored at least 22 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.
CoRR, 2024

Reinforcement Learning from Human Feedback with Active Queries.
CoRR, 2024

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
CoRR, 2024

2023
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR, 2023

BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR, 2023

Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.
CoRR, 2023

A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR, 2022

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

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

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
CoRR, 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
Delay-Minimization Link Selection for Heterogeneous VLC-DSRC VANETs.
Proceedings of the 91st IEEE Vehicular Technology Conference, 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
SVM-Based Network Access Type Decision in Hybrid LiFi and WiFi Networks.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019


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