Tutorials

Yikun Ban, Yunzhe Qi, Jingrui He
Neural Contextual Bandits for Personalized Recommendation
The Web Conference, Tutorial ( WWW'24)           --[CCF-A]
[ ]   []

Preprints

Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban , Eunice Chan, Jingrui He, Hanghang Tong
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.
Preprint

Publications(^*Equal Contribution)

Yikun Ban^*, Yunzhe Qi^*, Tianxin Wei, Lihui Liu, Jingrui He
Meta Clustering of Neural Bandits
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( KDD'24 )           --[CCF-A]
To Appear
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
Neural Exploitation and Exploration of Contextual Bandits
Journal of Machine Learning Research ( JMLR'24 )           --[CCF-A]
To Appear
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, and Jingrui He
Neural Active Learning Beyond Bandits
International Conference on Learning Representations ( ICLR'24 )           --[CS Rankings]

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression
International Conference on Learning Representations ( ICLR'24 )           --[CS Rankings]

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 )           --[CCF-A]

Yunzhe Qi^*, Yikun Ban^*, and Jingrui He
Graph Neural Bandits
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( KDD'23 )           --[CCF-A]

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 )           --[CCF-A]

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 (Demo Track) ( CIKM'22 )           --[CCF-B]

Yunzhe Qi, Yikun Ban, and Jingrui He
Neural Bandit with Arm Group Graph
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( KDD'22 )           --[CCF-A]

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

Yikun Ban and Jingrui He
Convolutional Neural Bandit for Visual-aware Recommendation
Preprint: ArXiv:2107.07438

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

Yikun Ban and Jingrui He
Local Clustering in Contextual Multi-Armed Bandits
The Web Conference ( WWW'21 )           --[CCF-A]

Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, and Hanghang Tong
Dynamic Knowledge Graph Alignment
AAAI Conference on Artificial Intelligence ( AAAI'21 )           --[CCF-A]

Yikun Ban and Jingrui He
Generic Outlier Detection in Multi-Armed Bandit
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( KDD'20 )           --[CCF-A]

Yikun Ban, Xin liu, Ling Huang, Yitao Duan, Xue Liu, and Wei Xu
No Place to Hide: Catching Fraudulent Entities in Tensors
The Web Conference ( WWW ’19 )           --[CCF-A]

Education

Selected Awards and Honors

Internship

Services