Ban, Yikun

11 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
NeurIPS 2025 Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang
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 2024 Contextual Bandits with Online Neural Regression Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
ICLR 2024 Neural Active Learning Beyond Bandits Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
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
ICLR 2022 EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
NeurIPS 2022 Improved Algorithms for Neural Active Learning Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
AAAI 2021 Dynamic Knowledge Graph Alignment Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong