| Jellyfish: Online performance tuning with adaptive configuration and elastic container in hadoop yarn X Ding, Y Liu, D Qian 2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015 | 45 | 2015 |
| Generating diverse story continuations with controllable semantics L Tu, X Ding, D Yu, K Gimpel arXiv preprint arXiv:1909.13434, 2019 | 19 | 2019 |
| An empirical study on model-agnostic debiasing strategies for robust natural language inference T Liu, X Zheng, X Ding, B Chang, Z Sui arXiv preprint arXiv:2010.03777, 2020 | 13 | 2020 |
| Discriminatively-tuned generative classifiers for robust natural language inference X Ding, T Liu, B Chang, Z Sui, K Gimpel arXiv preprint arXiv:2010.03760, 2020 | 8 | 2020 |
| FlowPrior: Learning expressive priors for latent variable sentence models X Ding, K Gimpel Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 7 | 2021 |
| Latent-variable generative models for data-efficient text classification X Ding, K Gimpel arXiv preprint arXiv:1910.00382, 2019 | 5 | 2019 |
| Cross-layer refresh mitigation for efficient and reliable DRAM systems: A comparative study X Ding, X Liang, Y Li 2017 IEEE International Test Conference (ITC), 1-10, 2017 | 2 | 2017 |
| Beyond Accuracy: Modeling Text for Robust NLP X Ding The University of Chicago, 2022 | | 2022 |
