Bounding Entities within Dense Subtensors. - Yikun Ban; Xin Liu (CoRR, 2018)

On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms. - Yikun Ban (CoRR, 2018)

Catching Loosely Synchronized Behavior in Face of Camouflage. - Yikun Ban; Jiao Sun; Xin Liu (CoRR, 2018)

No Place to Hide: Catching Fraudulent Entities in Tensors. - Yikun Ban; Xin Liu; Ling Huang 001; Yitao Duan; Xue Liu 001; Wei Xu 005 (WWW, 2019)

Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping. - Yikun Ban; Yuchen Zhou; Jingrui He; Xu Cheng 001; Jiangfang Yi (CoRR, 2019)

Generic Outlier Detection in Multi-Armed Bandit. - Yikun Ban; Jingrui He (KDD, 2020)

Dynamic Knowledge Graph Alignment. - Yuchen Yan; Lihui Liu; Yikun Ban; Baoyu Jing; Hanghang Tong (AAAI, 2021)

Multi-facet Contextual Bandits: A Neural Network Perspective. - Yikun Ban; Jingrui He; Curtiss B. Cook (KDD, 2021)

Local Clustering in Contextual Multi-Armed Bandits. - Yikun Ban; Jingrui He (WWW, 2021)

Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. - Yikun Ban; Jingrui He (CoRR, 2021)

DISCO: Comprehensive and Explainable Disinformation Detection. - Dongqi Fu; Yikun Ban; Hanghang Tong; Ross Maciejewski; Jingrui He (CIKM, 2022)

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. - Yikun Ban; Yuchen Yan; Arindam Banerjee 001; Jingrui He (ICLR, 2022)

Neural Bandit with Arm Group Graph. - Yunzhe Qi; Yikun Ban; Jingrui He (KDD, 2022)

Improved Algorithms for Neural Active Learning. - Yikun Ban; Yuheng Zhang; Hanghang Tong; Arindam Banerjee 001; Jingrui He (NeurIPS, 2022)

Neural Collaborative Filtering Bandits via Meta Learning. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Jingrui He (CoRR, 2022)

Graph Neural Bandits. - Yunzhe Qi; Yikun Ban; Jingrui He (KDD, 2023)

Meta-Learning with Neural Bandit Scheduler. - Yunzhe Qi; Yikun Ban; Tianxin Wei; Jiaru Zou; Huaxiu Yao; Jingrui He (NeurIPS, 2023)

Neural Exploitation and Exploration of Contextual Bandits. - Yikun Ban; Yuchen Yan; Arindam Banerjee 001; Jingrui He (CoRR, 2023)

Neural Active Learning Beyond Bandits. - Yikun Ban; Ishika Agarwal; Ziwei Wu; Yada Zhu; Kommy Weldemariam; Hanghang Tong; Jingrui He (ICLR, 2024)

Contextual Bandits with Online Neural Regression. - Rohan Deb; Yikun Ban; Shiliang Zuo; Jingrui He; Arindam Banerjee 001 (ICLR, 2024)

Meta Clustering of Neural Bandits. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Lihui Liu; Jingrui He (KDD, 2024)

PageRank Bandits for Link Prediction. - Yikun Ban; Jiaru Zou; Zihao Li 006; Yunzhe Qi; Dongqi Fu; Jian Kang 008; Hanghang Tong; Jingrui He (NeurIPS, 2024)

Robust Neural Contextual Bandit against Adversarial Corruptions. - Yunzhe Qi; Yikun Ban; Arindam Banerjee 001; Jingrui He (NeurIPS, 2024)

Neural Contextual Bandits for Personalized Recommendation. - Yikun Ban; Yunzhe Qi; Jingrui He (WWW (Companion Volume), 2024)

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. - Lihui Liu; Zihao Wang 001; Ruizhong Qiu; Yikun Ban; Eunice Chan; Yangqiu Song; Jingrui He; Hanghang Tong (CoRR, 2024)

LLM-Forest for Health Tabular Data Imputation. - Xinrui He; Yikun Ban; Jiaru Zou; Tianxin Wei; Curtiss B. Cook; Jingrui He (CoRR, 2024)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? - Zihao Li 006; Lecheng Zheng; Bowen Jin; Dongqi Fu; Baoyu Jing; Yikun Ban; Jingrui He; Jiawei Han 001 (ACL (1), 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 (ACL (Findings), 2025)

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. - Jiaru Zou; Yikun Ban; Zihao Li 006; Yunzhe Qi; Ruizhong Qiu; Ling Yang; Jingrui He (CoRR, 2025)

Adaptive Sample Scheduling for Direct Preference Optimization. - Zixuan Huang; Yikun Ban; Lean Fu; Xiaojie Li; Zhongxiang Dai; Jianxin Li; Deqing Wang (CoRR, 2025)

Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. - Xiaodong Lu; Mingzhe Liu 002; Tongyu Zhu; Leilei Sun; Jibin Wang; Weifeng Lv; Yikun Ban; Deqing Wang (ACM Trans. Inf. Syst., 2025)