Yikun Ban

Orcid: 0000-0003-3035-4849

According to our database1, Yikun Ban authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
PageRank Bandits for Link Prediction.
CoRR, 2024

LLM-Forest for Health Tabular Data Imputation.
CoRR, 2024

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.
CoRR, 2024

Neural Contextual Bandits for Personalized Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Meta Clustering of Neural Bandits.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Contextual Bandits with Online Neural Regression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Neural Exploitation and Exploration of Contextual Bandits.
CoRR, 2023

Meta-Learning with Neural Bandit Scheduler.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Bandits.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Neural Collaborative Filtering Bandits via Meta Learning.
CoRR, 2022

Improved Algorithms for Neural Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Bandit with Arm Group Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising.
CoRR, 2021

Local Clustering in Contextual Multi-Armed Bandits.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-facet Contextual Bandits: A Neural Network Perspective.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dynamic Knowledge Graph Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Generic Outlier Detection in Multi-Armed Bandit.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping.
CoRR, 2019

No Place to Hide: Catching Fraudulent Entities in Tensors.
Proceedings of the World Wide Web Conference, 2019

2018
Catching Loosely Synchronized Behavior in Face of Camouflage.
CoRR, 2018

On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms.
CoRR, 2018

Bounding Entities within Dense Subtensors.
CoRR, 2018


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