Yikun Ban

Reinforcement learning and data mining

• NeurIPS Scholar Award
• ICML Outstanding Reviewer

• Fall 2024 - Data, Stat, and Info - IS507CC

Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, and Jingrui He. "Neural Active Learning beyond Bandits." 12th International Conference on Learning Representations (ICLR'24).

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee. "Contextual Bandits with Online Neural Regression." 12th International Conference on Learning Representations (ICLR24).

Yikun Ban, Yunzhe Qi, Jingrui He. "Neural Contextual Bandits for Personalized Recommendation." The Web Conference 2024, Tutorial (WWW'24).

Yunzhe Qi∗, Yikun Ban∗, Tianxin Wei, Jiaru Zou, Huaxiu Yao, and Jingrui He. "Meta-Learning with Neural Bandit Scheduler." Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23)

Yunzhe Qi∗, Yikun Ban∗, and Jingrui He. "Graph Neural Bandits." 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23)

Yikun Ban∗, Yuheng Zhang∗, Hanghang Tong, Arindam Banerjee, and Jingrui He. "Improved Algorithms for Neural Active Learning." Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22)

Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, and Jingrui He. "DISCO: Comprehensive and Explainable Disinformation Detection." ACM International Conference on Information and Knowledge Management (CIKM'22)

Yunzhe Qi, Yikun Ban, and Jingrui He. "Neural Bandit with Arm Group Graph." 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22)

Yikun Ban, Yuchen Yan, Arindam Banerjee, and Jingrui He. "EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits." 10th International Conference on Learning Representations (ICLR'22, Spotlight)

Yikun Ban, Jingrui He, and Curtiss B. Cook. "Multi-Facet Contextual Bandits: A Neural Network Perspective." 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21)