Yunzhe Qi

According to our database, Yunzhe Qi authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning.

Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He

CoRR, February, 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

Trans. Mach. Learn. Res., 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

Trans. Mach. Learn. Res., 2026

2025

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning.

Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang

CoRR, December, 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

CoRR, May, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.

Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Neural Contextual Bandits for Personalized Recommendation.

Yikun Ban, Yunzhe Qi, Jingrui He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Robust Neural Contextual Bandit against Adversarial Corruptions.

Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PageRank Bandits for Link Prediction.

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Meta Clustering of Neural Bandits.

Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Meta-Learning with Neural Bandit Scheduler.

Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Bandits.

Yunzhe Qi, Yikun Ban, Jingrui He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Neural Collaborative Filtering Bandits via Meta Learning.

Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He

CoRR, 2022

Neural Bandit with Arm Group Graph.

Yunzhe Qi, Yikun Ban, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2019

Big Data Prediction in Location-Aware Wireless Caching: A Machine Learning Approach.

Yunzhe Qi, Zhong Yang, Zhijin Qin, Yuanwei Liu, Yue Chen

Proceedings of the 2019 IEEE Global Communications Conference, 2019