| Beyond random walk and metropolis-hastings samplers: why you should not backtrack for unbiased graph sampling CH Lee, X Xu, DY Eun ACM SIGMETRICS Performance evaluation review 40 (1), 319-330, 2012 | 184 | 2012 |
| Method and system for predicting task completion of a time period based on task completion rates and data trend of prior time periods in view of attributes of tasks using … X Xu, L Tang, V Rangan US Patent 10,846,643, 2020 | 123 | 2020 |
| Method and system for predicting task completion of a time period based on task completion rates of prior time periods using machine learning L Tang, MS Sun, X Xu US Patent 10,430,239, 2019 | 97 | 2019 |
| Lambada: Backward chaining for automated reasoning in natural language M Kazemi, N Kim, D Bhatia, X Xu, D Ramachandran arXiv preprint arXiv:2212.13894, 2022 | 42 | 2022 |
| A general framework of hybrid graph sampling for complex network analysis X Xu, CH Lee IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 2795-2803, 2014 | 36 | 2014 |
| Smoking May Lead to Marginal Bone Loss Around Non‐Submerged Implants During Bone Healing by Altering Salivary Microbiome: A Prospective Study X Duan, T Wu, X Xu, D Chen, A Mo, Y Lei, L Cheng, Y Man, X Zhou, ... Journal of Periodontology 88 (12), 1297-1308, 2017 | 32 | 2017 |
| Deepke: A deep learning based knowledge extraction toolkit for knowledge base population N Zhang, X Xu, L Tao, H Yu, H Ye, S Qiao, X Xie, X Chen, Z Li, L Li, ... arXiv preprint arXiv:2201.03335, 2022 | 31 | 2022 |
| Marginal bone loss around non-submerged implants is associated with salivary microbiome during bone healing XB Duan, TX Wu, YC Guo, XD Zhou, YL Lei, X Xu, AC Mo, YY Wang, ... International Journal of Oral Science 9 (2), 95-103, 2017 | 26 | 2017 |
| Estrogen deficiency leads to further bone loss in the mandible of CKD mice Y Guo, N Sun, X Duan, X Xu, L Zheng, D Seriwatanachai, Y Wang, ... PloS one 11 (2), e0148804, 2016 | 22 | 2016 |
| Dr. icl: Demonstration-retrieved in-context learning M Luo, X Xu, Z Dai, P Pasupat, M Kazemi, C Baral, V Imbrasaite, VY Zhao arXiv preprint arXiv:2305.14128, 2023 | 19 | 2023 |
| How to unleash the power of large language models for few-shot relation extraction? X Xu, Y Zhu, X Wang, N Zhang arXiv preprint arXiv:2305.01555, 2023 | 17 | 2023 |
| Challenging the limits: Sampling online social networks with cost constraints X Xu, CH Lee IEEE Infocom 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 15 | 2017 |
| Hitting your number or not? A robust & intelligent sales forecast system X Xu, L Tang, V Rangan 2017 IEEE International Conference on Big Data (Big Data), 3613-3622, 2017 | 13 | 2017 |
| Compensative mechanism based on steerable antennas for High Altitude Platform movement H Li, X Xu, M Yang, Q Guo 2011 6th International ICST Conference on Communications and Networking in …, 2011 | 10 | 2011 |
| A comprehensive study of knowledge editing for large language models N Zhang, Y Yao, B Tian, P Wang, S Deng, M Wang, Z Xi, S Mao, J Zhang, ... arXiv preprint arXiv:2401.01286, 2024 | 8 | 2024 |
| Towards realistic low-resource relation extraction: A benchmark with empirical baseline study X Xu, X Chen, N Zhang, X Xie, X Chen, H Chen arXiv preprint arXiv:2210.10678, 2022 | 8 | 2022 |
| Boardgameqa: A dataset for natural language reasoning with contradictory information M Kazemi, Q Yuan, D Bhatia, N Kim, X Xu, V Imbrasaite, ... Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| In-context learning with retrieved demonstrations for language models: A survey X Xu, Y Liu, P Pasupat, M Kazemi arXiv preprint arXiv:2401.11624, 2024 | 7 | 2024 |
| Modeling time-sensitive information diffusion in online social networks X Xu, X Chen 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2015 | 5 | 2015 |
| Tasklama: probing the complex task understanding of language models Q Yuan, M Kazemi, X Xu, I Noble, V Imbrasaite, D Ramachandran Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19468 …, 2024 | 4 | 2024 |
