Publications

Yunzhe Qi^*, Yikun Ban^*, and Jingrui He
Graph Neural Bandits
ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( KDD'23 )
To appear
Yikun Ban^*, Yuheng Zhang^*, Hanghang Tong, Arindam Banerjee, and Jingrui He (* Equal Contribution)
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 (Demo Track) ( CIKM'22 )

Yunzhe Qi, Yikun Ban, and Jingrui He
Neural Bandit with Arm Group Graph
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
International Conference on Learning Representations ( ICLR'22, Spotlight (176/3391))

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 )

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

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

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

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 )

Internship

Selected Awards and Honors

Education

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