Qi, Yunzhe

8 publications

TMLR 2026 Bi-Level Hierarchical Neural Contextual Bandits for Online Recommendation Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He

TMLR 2026 DiffKGW: Stealthy and Robust Diffusion Model Watermarking Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang

ICLR 2026 Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He

NeurIPS 2025 Transformer Copilot: Learning from the Mistake Log in LLM Fine-Tuning Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

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

NeurIPS 2024 PageRank Bandits for Link Prediction Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

NeurIPS 2024 Robust Neural Contextual Bandit Against Adversarial Corruptions Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He

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