Yikun Ban

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Multi Armed Bandits

Dense Subgraphs

Top Venues

Publications

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression. ICLR (2024)
Yikun Ban, Yunzhe Qi, Jingrui He
Neural Contextual Bandits for Personalized Recommendation. WWW (Companion Volume) (2024)
Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR (2024)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
Meta Clustering of Neural Bandits. KDD (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. CoRR (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. ICLR (2024)
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Neural Bandits. CoRR (2023)
Yikun Ban, Yunzhe Qi, Jingrui He
Neural Contextual Bandits for Personalized Recommendation. CoRR (2023)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
Neural Exploitation and Exploration of Contextual Bandits. CoRR (2023)
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression. CoRR (2023)
Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
Meta-Learning with Neural Bandit Scheduler. NeurIPS (2023)
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Neural Bandits. KDD (2023)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR (2022)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
Neural Collaborative Filtering Bandits via Meta Learning. CoRR (2022)
Yunzhe Qi, Yikun Ban, Jingrui He
Neural Bandit with Arm Group Graph. KDD (2022)
Yunzhe Qi, Yikun Ban, Jingrui He
Neural Bandit with Arm Group Graph. CoRR (2022)
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. NeurIPS (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. CoRR (2022)
Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM (2022)
Yikun Ban, Jingrui He, Curtiss B. Cook
Multi-facet Contextual Bandits: A Neural Network Perspective. CoRR (2021)
Yikun Ban, Jingrui He
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. CoRR (2021)
Yikun Ban, Jingrui He, Curtiss B. Cook
Multi-facet Contextual Bandits: A Neural Network Perspective. KDD (2021)
Yikun Ban, Jingrui He
Local Clustering in Contextual Multi-Armed Bandits. WWW (2021)
Yikun Ban, Jingrui He
Local Clustering in Contextual Multi-Armed Bandits. CoRR (2021)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR (2021)
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
Dynamic Knowledge Graph Alignment. AAAI (2021)
Yikun Ban, Jingrui He
Generic Outlier Detection in Multi-Armed Bandit. CoRR (2020)
Yikun Ban, Jingrui He
Generic Outlier Detection in Multi-Armed Bandit. KDD (2020)
Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu
No Place to Hide: Catching Fraudulent Entities in Tensors. WWW (2019)
Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping. CoRR (2019)
Yikun Ban, Xin Liu
Bounding Entities within Dense Subtensors. CoRR (2018)
Yikun Ban, Jiao Sun, Xin Liu
Catching Loosely Synchronized Behavior in Face of Camouflage. CoRR (2018)
Yikun Ban
On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms. CoRR (2018)