Yikun Ban

According to our database, Yikun Ban authored at least 30 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive Sample Scheduling for Direct Preference Optimization.

Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang

CoRR, June, 2025

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning.

Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

CoRR, May, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

LLM-Forest for Health Tabular Data Imputation.

Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He

CoRR, 2024

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

Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong

CoRR, 2024

Neural Contextual Bandits for Personalized Recommendation.

Yikun Ban, Yunzhe Qi, Jingrui He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Robust Neural Contextual Bandit against Adversarial Corruptions.

Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PageRank Bandits for Link Prediction.

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Meta Clustering of Neural Bandits.

Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Contextual Bandits with Online Neural Regression.

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.

Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Neural Exploitation and Exploration of Contextual Bandits.

Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

CoRR, 2023

Meta-Learning with Neural Bandit Scheduler.

Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Bandits.

Yunzhe Qi, Yikun Ban, Jingrui He

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

2022

Neural Collaborative Filtering Bandits via Meta Learning.

Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He

CoRR, 2022

Improved Algorithms for Neural Active Learning.

Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He

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.

Yunzhe Qi, Yikun Ban, Jingrui He

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.

Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

Proceedings of the Tenth International Conference on Learning Representations, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.

Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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

Yikun Ban, Jingrui He

CoRR, 2021

Local Clustering in Contextual Multi-Armed Bandits.

Yikun Ban, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-facet Contextual Bandits: A Neural Network Perspective.

Yikun Ban, Jingrui He, Curtiss B. Cook

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dynamic Knowledge Graph Alignment.

Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Generic Outlier Detection in Multi-Armed Bandit.

Yikun Ban, Jingrui He

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.

Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi

CoRR, 2019

No Place to Hide: Catching Fraudulent Entities in Tensors.

Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu

Proceedings of the World Wide Web Conference, 2019

2018

Catching Loosely Synchronized Behavior in Face of Camouflage.

Yikun Ban, Jiao Sun, Xin Liu

CoRR, 2018

On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms.

Yikun Ban

CoRR, 2018

Bounding Entities within Dense Subtensors.

Yikun Ban, Xin Liu

CoRR, 2018