| Dynamic knowledge graph alignment Y Yan, L Liu, Y Ban, B Jing, H Tong Proceedings of the AAAI conference on artificial intelligence 35 (5), 4564-4572, 2021 | 81 | 2021 |
| Local clustering in contextual multi-armed bandits Y Ban, J He Proceedings of the Web Conference 2021, 2335-2346, 2021 | 34 | 2021 |
| No place to hide: Catching fraudulent entities in tensors B Yikun, L Xin, H Ling, D Yitao, L Xue, X Wei The World Wide Web Conference, 83-93, 2019 | 28* | 2019 |
| Ee-net: Exploitation-exploration neural networks in contextual bandits Y Ban, Y Yan, A Banerjee, J He International Conference on Learning Representations, 2022 | 24 | 2022 |
| Multi-facet contextual bandits: A neural network perspective Y Ban, J He, CB Cook Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 20 | 2021 |
| Generic outlier detection in multi-armed bandit Y Ban, J He Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 19 | 2020 |
| DISCO: Comprehensive and explainable disinformation detection D Fu, Y Ban, H Tong, R Maciejewski, J He Proceedings of the 31st ACM International Conference on Information …, 2022 | 13 | 2022 |
| Convolutional neural bandit: Provable algorithm for visual-aware advertising Y Ban, J He arXiv preprint arXiv:2107.07438, 2021 | 11 | 2021 |
| Neural bandit with arm group graph Y Qi, Y Ban, J He Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Neural Collaborative Filtering Bandits via Meta Learning Y Ban, Y Qi, T Wei, J He arXiv preprint arXiv:2201.13395, 2022 | 8 | 2022 |
| Improved algorithms for neural active learning Y Ban, Y Zhang, H Tong, A Banerjee, J He Advances in Neural Information Processing Systems 35, 27497-27509, 2022 | 7 | 2022 |
| Graph neural bandits Y Qi, Y Ban, J He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| Neural exploitation and exploration of contextual bandits Y Ban, Y Yan, A Banerjee, J He arXiv preprint arXiv:2305.03784, 2023 | 6 | 2023 |
| On finding dense subgraphs in bipartite graphs: Linear algorithms Y Ban arXiv preprint arXiv:1810.06809, 2018 | 4 | 2018 |
| Neural active learning beyond bandits Y Ban, I Agarwal, Z Wu, Y Zhu, K Weldemariam, H Tong, J He arXiv preprint arXiv:2404.12522, 2024 | 1 | 2024 |
| Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs L Liu, Z Wang, R Qiu, Y Ban, H Tong arXiv preprint arXiv:2404.04264, 2024 | 1 | 2024 |
| Meta-learning with neural bandit scheduler Y Qi, Y Ban, T Wei, J Zou, H Yao, J He Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Contextual bandits with online neural regression R Deb, Y Ban, S Zuo, J He, A Banerjee arXiv preprint arXiv:2312.07145, 2023 | 1 | 2023 |
| Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping Y Ban, Y Zhou, X Cheng, J Yi arXiv preprint arXiv:1908.08774, 2019 | 1 | 2019 |
| Neural Contextual Bandits for Personalized Recommendation Y Ban, Y Qi, J He Companion Proceedings of the ACM on Web Conference 2024, 1246-1249, 2024 | | 2024 |
Jingrui HeUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
