Yikun Ban

Orcid: 0000-0003-3035-4849

According to our database¹, Yikun Ban authored at least 51 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Policy Improvement Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

Adaptive Robust Estimator for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Counterfactual Credit Policy Optimization for Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, March, 2026

CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling.

[BibT_eX]

[DOI]

CoRR, March, 2026

Heterogeneous Agent Collaborative Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents.

[BibT_eX]

[DOI]

CoRR, February, 2026

Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation.

[BibT_eX]

[DOI]

CoRR, February, 2026

UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment.

[BibT_eX]

[DOI]

CoRR, February, 2026

Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards.

[BibT_eX]

[DOI]

CoRR, February, 2026

Does Your Reasoning Model Implicitly Know When to Stop Thinking?

[BibT_eX]

[DOI]

CoRR, February, 2026

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger.

[BibT_eX]

[DOI]

CoRR, February, 2026

Real-Time Aligned Reward Model beyond Semantics.

[BibT_eX]

[DOI]

CoRR, January, 2026

Your Group-Relative Advantage Is Biased.

[BibT_eX]

[DOI]

CoRR, January, 2026

Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs.

[BibT_eX]

[DOI]

Yating Ren

Yikun Ban

Huobin Tan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process.

[BibT_eX]

[DOI]

CoRR, December, 2025

LLMBoost: Make Large Language Models Stronger with Boosting.

[BibT_eX]

[DOI]

CoRR, December, 2025

Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., September, 2025

FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits.

[BibT_eX]

[DOI]

CoRR, September, 2025

T-POP: Test-Time Personalization with Online Preference Feedback.

[BibT_eX]

[DOI]

CoRR, September, 2025

Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation.

[BibT_eX]

[DOI]

CoRR, September, 2025

Adaptive Sample Scheduling for Direct Preference Optimization.

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation.

[BibT_eX]

[DOI]

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

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Neural Contextual Bandits for Personalized Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PageRank Bandits for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Meta Clustering of Neural Bandits.

[BibT_eX]

[DOI]

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

Contextual Bandits with Online Neural Regression.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Neural Exploitation and Exploration of Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Learning with Neural Bandit Scheduler.

[BibT_eX]

[DOI]

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

Graph Neural Bandits.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Improved Algorithms for Neural Active Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Yikun Ban

Jingrui He

CoRR, 2021

Local Clustering in Contextual Multi-Armed Bandits.

[BibT_eX]

[DOI]

Yikun Ban

Jingrui He

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

Multi-facet Contextual Bandits: A Neural Network Perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Generic Outlier Detection in Multi-Armed Bandit.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

No Place to Hide: Catching Fraudulent Entities in Tensors.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

2018

Catching Loosely Synchronized Behavior in Face of Camouflage.

[BibT_eX]

[DOI]

Yikun Ban

Jiao Sun

Xin Liu

CoRR, 2018

On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms.

[BibT_eX]

[DOI]

Yikun Ban

CoRR, 2018

Bounding Entities within Dense Subtensors.

[BibT_eX]

[DOI]

Yikun Ban

Xin Liu

CoRR, 2018

Yikun Ban

Timeline

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Links

On csauthors.net:

Bibliography

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