Kaixuan Ji

According to our database, Kaixuan Ji authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization.

Guanlin Liu, Kaixuan Ji, Renjie Zheng, Zheng Wu, Chen Dun, Quanquan Gu, Lin Yan

CoRR, 2024

Self-Play Preference Optimization for Language Model Alignment.

Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu

CoRR, 2024

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

Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu

CoRR, 2024

Reinforcement Learning from Human Feedback with Active Queries.

Kaixuan Ji, Jiafan He, Quanquan Gu

CoRR, 2024

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

Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs.

Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

Ji Qi, Kaixuan Ji, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Bin Xu

CoRR, 2023

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

Ji Qi, Kaixuan Ji, Jifan Yu, Duokang Wang, Bin Xu, Lei Hou, Juanzi Li

CoRR, 2023

A Transferable Multi-Agent Reinforcement Learning Method for Distribution Service Restoration.

Ruiqi Si, Ji Qiao, Xiaohui Wang, Kaixuan Ji, Zibo Wang, Zhang Jun, Xuanying Pan, Zhengyan Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

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

Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang

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.

Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Xingjian Zhang, Yuxiao Dong, Jiahua Liu, Maodi Hu, Jie Tang

CoRR, 2022

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.

Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang

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.

Kaixuan Ji, Fa Zhang, Ce Chi, Penglei Song, Biyu Zhou, Avinab Marahatta, Zhiyong Liu

Sustain. Comput. Informatics Syst., 2021

Improving energy efficiency in colocation data centers for demand response.

Ce Chi, Fa Zhang, Kaixuan Ji, Avinab Marahatta, Zhiyong Liu

Sustain. Comput. Informatics Syst., 2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang

CoRR, 2021

A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers.

Shikui Zhang, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Penglei Song, Huimei Yuan, Dehui Qiu, Xiaohua Wan

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.

Penglei Song, Ce Chi, Kaixuan Ji, Zhiyong Liu, Fa Zhang, Shikui Zhang, Dehui Qiu, Xiaohua Wan

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020

Delay-Minimization Link Selection for Heterogeneous VLC-DSRC VANETs.

Kaixuan Ji, Yuhan Dong, Jiaxuan Chen, Tianqi Mao, Zhaocheng Wang

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction.

Ce Chi, Kaixuan Ji, Avinab Marahatta, Fa Zhang, Youshi Wang, Zhiyong Liu

Proceedings of the IEEE Symposium on Computers and Communications, 2020

An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers.

Ce Chi, Kaixuan Ji, Avinab Marahatta, Fa Zhang, Youshi Wang, Zhiyong Liu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Eco-friendly Dynamic Task Scheduling for Regional Data Center.

Avinab Marahatta, Ce Chi, Kaixuan Ji, Carlos Juiz, Fa Zhang, Zhiyong Liu

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.

Kaixuan Ji, Ce Chi, Avinab Marahatta, Fa Zhang, Zhiyong Liu

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.

Ce Chi, Kaixuan Ji, Avinab Marahatta, Penglei Song, Fa Zhang, Zhiyong Liu

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.

Kaixuan Ji, Tianqi Mao, Jiaxuan Chen, Yuhan Dong, Zhaocheng Wang

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019