| 2026 | AAAI | GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs. | Yating Ren, Yikun Ban, Huobin Tan |
| 2025 | ACL | Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? | Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han |
| 2025 | ACL | LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. | Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He |
| 2024 | ICLR | Neural Active Learning Beyond Bandits. | Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He |
| 2024 | ICLR | Contextual Bandits with Online Neural Regression. | Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee |
| 2024 | KDD | Meta Clustering of Neural Bandits. | Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He |
| 2024 | WWW | Neural Contextual Bandits for Personalized Recommendation. | Yikun Ban, Yunzhe Qi, Jingrui He |
| 2023 | KDD | Graph Neural Bandits. | Yunzhe Qi, Yikun Ban, Jingrui He |
| 2022 | CIKM | DISCO: Comprehensive and Explainable Disinformation Detection. | Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2022 | ICLR | EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. | Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He |
| 2022 | KDD | Neural Bandit with Arm Group Graph. | Yunzhe Qi, Yikun Ban, Jingrui He |
| 2021 | AAAI | Dynamic Knowledge Graph Alignment. | Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong |
| 2021 | KDD | Multi-facet Contextual Bandits: A Neural Network Perspective. | Yikun Ban, Jingrui He, Curtiss B. Cook |
| 2021 | WWW | Local Clustering in Contextual Multi-Armed Bandits. | Yikun Ban, Jingrui He |
| 2020 | KDD | Generic Outlier Detection in Multi-Armed Bandit. | Yikun Ban, Jingrui He |
| 2019 | WWW | No Place to Hide: Catching Fraudulent Entities in Tensors. | Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu |