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Kaixuan Ji
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 24
Top Topics
Diffusion Models
Reinforcement Learning
Energy Efficiency
Data Center
Top Venues
CoRR
e-Energy
Sustain. Comput. Informatics Syst.
ICCCN
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Publications
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Yue Wu
,
Zhiqing Sun
,
Huizhuo Yuan
,
Kaixuan Ji
,
Yiming Yang
,
Quanquan Gu
Self-Play Preference Optimization for Language Model Alignment.
CoRR
(2024)
Zixiang Chen
,
Yihe Deng
,
Huizhuo Yuan
,
Kaixuan Ji
,
Quanquan Gu
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
CoRR
(2024)
Huizhuo Yuan
,
Zixiang Chen
,
Kaixuan Ji
,
Quanquan Gu
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.
CoRR
(2024)
Kaixuan Ji
,
Qingyue Zhao
,
Jiafan He
,
Weitong Zhang
,
Quanquan Gu
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.
ICLR
(2024)
Kaixuan Ji
,
Jiafan He
,
Quanquan Gu
Reinforcement Learning from Human Feedback with Active Queries.
CoRR
(2024)
Ruiqi Si
,
Ji Qiao
,
Xiaohui Wang
,
Kaixuan Ji
,
Zibo Wang
,
Zhang Jun
,
Xuanying Pan
,
Zhengyan Zhang
A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration.
SMC
(2023)
Weng Tam
,
Xiao Liu
,
Kaixuan Ji
,
Lilong Xue
,
Jiahua Liu
,
Tao Li
,
Yuxiao Dong
,
Jie Tang
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
EMNLP (Findings)
(2023)
Ji Qi
,
Kaixuan Ji
,
Xiaozhi Wang
,
Jifan Yu
,
Kaisheng Zeng
,
Lei Hou
,
Juanzi Li
,
Bin Xu
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.
CoRR
(2023)
Kaixuan Ji
,
Qingyue Zhao
,
Jiafan He
,
Weitong Zhang
,
Quanquan Gu
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.
CoRR
(2023)
Ji Qi
,
Kaixuan Ji
,
Jifan Yu
,
Duokang Wang
,
Bin Xu
,
Lei Hou
,
Juanzi Li
BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation.
CoRR
(2023)
Xiao Liu
,
Kaixuan Ji
,
Yicheng Fu
,
Weng Tam
,
Zhengxiao Du
,
Zhilin Yang
,
Jie Tang
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
ACL (2)
(2022)
Weng Lam Tam
,
Xiao Liu
,
Kaixuan Ji
,
Lilong Xue
,
Xingjian Zhang
,
Yuxiao Dong
,
Jiahua Liu
,
Maodi Hu
,
Jie Tang
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR
(2022)
Ce Chi
,
Fa Zhang
,
Kaixuan Ji
,
Avinab Marahatta
,
Zhiyong Liu
Improving energy efficiency in colocation data centers for demand response.
Sustain. Comput. Informatics Syst.
29 (Part) (2021)
Kaixuan Ji
,
Fa Zhang
,
Ce Chi
,
Penglei Song
,
Biyu Zhou
,
Avinab Marahatta
,
Zhiyong Liu
A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers.
Sustain. Comput. Informatics Syst.
32 (2021)
Penglei Song
,
Ce Chi
,
Kaixuan Ji
,
Zhiyong Liu
,
Fa Zhang
,
Shikui Zhang
,
Dehui Qiu
,
Xiaohua Wan
A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers.
ICCCN
(2021)
Shikui Zhang
,
Ce Chi
,
Kaixuan Ji
,
Zhiyong Liu
,
Fa Zhang
,
Penglei Song
,
Huimei Yuan
,
Dehui Qiu
,
Xiaohua Wan
A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers.
ISPA/BDCloud/SocialCom/SustainCom
(2021)
Xiao Liu
,
Kaixuan Ji
,
Yicheng Fu
,
Zhengxiao Du
,
Zhilin Yang
,
Jie Tang
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
CoRR
(2021)
Ce Chi
,
Kaixuan Ji
,
Avinab Marahatta
,
Fa Zhang
,
Youshi Wang
,
Zhiyong Liu
An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction.
ISCC
(2020)
Ce Chi
,
Kaixuan Ji
,
Avinab Marahatta
,
Fa Zhang
,
Youshi Wang
,
Zhiyong Liu
An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers.
ICCCN
(2020)
Avinab Marahatta
,
Ce Chi
,
Kaixuan Ji
,
Carlos Juiz
,
Fa Zhang
,
Zhiyong Liu
Eco-friendly Dynamic Task Scheduling for Regional Data Center.
e-Energy
(2020)
Ce Chi
,
Kaixuan Ji
,
Avinab Marahatta
,
Penglei Song
,
Fa Zhang
,
Zhiyong Liu
Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning.
e-Energy
(2020)
Kaixuan Ji
,
Yuhan Dong
,
Jiaxuan Chen
,
Tianqi Mao
,
Zhaocheng Wang
Delay-Minimization Link Selection for Heterogeneous VLC-DSRC VANETs.
VTC Spring
(2020)
Kaixuan Ji
,
Ce Chi
,
Avinab Marahatta
,
Fa Zhang
,
Zhiyong Liu
Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers.
e-Energy
(2020)
Kaixuan Ji
,
Tianqi Mao
,
Jiaxuan Chen
,
Yuhan Dong
,
Zhaocheng Wang
SVM-Based Network Access Type Decision in Hybrid LiFi and WiFi Networks.
VTC Fall
(2019)