SVM-Based Network Access Type Decision in Hybrid LiFi and WiFi Networks. - Kaixuan Ji; Tianqi Mao; Jiaxuan Chen 001; Yuhan Dong; Zhaocheng Wang 001 (VTC Fall, 2019)

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 001; Zhiyong Liu 002 (e-Energy, 2020)

Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers. - Kaixuan Ji; Ce Chi; Avinab Marahatta; Fa Zhang 001; Zhiyong Liu 002 (e-Energy, 2020)

Eco-friendly Dynamic Task Scheduling for Regional Data Center. - Avinab Marahatta; Ce Chi; Kaixuan Ji; Carlos Juiz; Fa Zhang 001; Zhiyong Liu 002 (e-Energy, 2020)

An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers. - Ce Chi; Kaixuan Ji; Avinab Marahatta; Fa Zhang 001; Youshi Wang; Zhiyong Liu 002 (ICCCN, 2020)

An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction. - Ce Chi; Kaixuan Ji; Avinab Marahatta; Fa Zhang 001; Youshi Wang; Zhiyong Liu 002 (ISCC, 2020)

Delay-Minimization Link Selection for Heterogeneous VLC-DSRC VANETs. - Kaixuan Ji; Yuhan Dong; Jiaxuan Chen 001; Tianqi Mao; Zhaocheng Wang 001 (VTC Spring, 2020)

A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers. - Penglei Song; Ce Chi; Kaixuan Ji; Zhiyong Liu 002; Fa Zhang 001; Shikui Zhang; Dehui Qiu; Xiaohua Wan (ICCCN, 2021)

A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers. - Shikui Zhang; Ce Chi; Kaixuan Ji; Zhiyong Liu 002; Fa Zhang 001; Penglei Song; Huimei Yuan; Dehui Qiu; Xiaohua Wan (ISPA/BDCloud/SocialCom/SustainCom, 2021)

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (CoRR, 2021)

Improving energy efficiency in colocation data centers for demand response. - Ce Chi; Fa Zhang 001; Kaixuan Ji; Avinab Marahatta; Zhiyong Liu 002 (Sustain. Comput. Informatics Syst., 2021)

A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers. - Kaixuan Ji; Fa Zhang 001; Ce Chi; Penglei Song; Biyu Zhou; Avinab Marahatta; Zhiyong Liu 002 (Sustain. Comput. Informatics Syst., 2021)

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. - Xiao Liu 036; Kaixuan Ji; Yicheng Fu; Weng Tam; Zhengxiao Du; Zhilin Yang 001; Jie Tang 001 (ACL (2), 2022)

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. - Weng Lam Tam; Xiao Liu 036; Kaixuan Ji; Lilong Xue; Xingjian Zhang 009; Yuxiao Dong; Jiahua Liu; Maodi Hu; Jie Tang 001 (CoRR, 2022)

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. - Weng Tam; Xiao Liu 036; Kaixuan Ji; Lilong Xue; Jiahua Liu; Tao Li; Yuxiao Dong; Jie Tang 001 (EMNLP (Findings), 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 (SMC, 2023)

BiLL-VTG: Bridging Large Language Models and Lightweight Visual Tools for Video-based Texts Generation. - Ji Qi 003; Kaixuan Ji; Jifan Yu; Duokang Wang; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2023)

Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment. - Ji Qi 003; Kaixuan Ji; Xiaozhi Wang; Jifan Yu; Kaisheng Zeng; Lei Hou 001; Juanzi Li; Bin Xu 001 (CoRR, 2023)

Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. - Kaixuan Ji; Qingyue Zhao; Jiafan He; Weitong Zhang; Quanquan Gu (ICLR, 2024)

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. - Zixiang Chen; Yihe Deng; Huizhuo Yuan; Kaixuan Ji; Quanquan Gu (ICML, 2024)

Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation. - Huizhuo Yuan; Zixiang Chen; Kaixuan Ji; Quanquan Gu (NeurIPS, 2024)

Adversarial Attacks to Manipulate Target Localization of Object Detector. - Kai Xu; Xiao Cheng; Ji Qiao; Jia-Teng Li; Kaixuan Ji; Jiayong Zhong; Peng Tian; Jian-Xun Mi (IEEE Access, 2024)

Reinforcement Learning from Human Feedback with Active Queries. - Kaixuan Ji; Jiafan He; Quanquan Gu (CoRR, 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 (ICLR, 2025)

Nearly Optimal Sample Complexity of Offline KL-Regularized Contextual Bandits under Single-Policy Concentrability. - Qingyue Zhao; Kaixuan Ji; Heyang Zhao; Tong Zhang 001; Quanquan Gu (CoRR, 2025)