Big Data Prediction in Location-Aware Wireless Caching: A Machine Learning Approach. - Yunzhe Qi; Zhong Yang 001; Zhijin Qin; Yuanwei Liu; Yue Chen 002 (GLOBECOM, 2019)

Neural Bandit with Arm Group Graph. - Yunzhe Qi; Yikun Ban; Jingrui He (KDD, 2022)

Neural Collaborative Filtering Bandits via Meta Learning. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Jingrui He (CoRR, 2022)

Graph Neural Bandits. - Yunzhe Qi; Yikun Ban; Jingrui He (KDD, 2023)

Meta-Learning with Neural Bandit Scheduler. - Yunzhe Qi; Yikun Ban; Tianxin Wei; Jiaru Zou; Huaxiu Yao; Jingrui He (NeurIPS, 2023)

Meta Clustering of Neural Bandits. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Lihui Liu; Jingrui He (KDD, 2024)

PageRank Bandits for Link Prediction. - Yikun Ban; Jiaru Zou; Zihao Li 006; Yunzhe Qi; Dongqi Fu; Jian Kang 008; Hanghang Tong; Jingrui He (NeurIPS, 2024)

Robust Neural Contextual Bandit against Adversarial Corruptions. - Yunzhe Qi; Yikun Ban; Arindam Banerjee 001; Jingrui He (NeurIPS, 2024)

Neural Contextual Bandits for Personalized Recommendation. - Yikun Ban; Yunzhe Qi; Jingrui He (WWW (Companion Volume), 2024)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Tianci Liu 003; Ruirui Li 002; Yunzhe Qi; Hui Liu 031; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang 004; Jing Gao 004 (ICLR, 2025)

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. - Jiaru Zou; Yikun Ban; Zihao Li 006; Yunzhe Qi; Ruizhong Qiu; Ling Yang; Jingrui He (CoRR, 2025)