| Eda: Easy data augmentation techniques for boosting performance on text classification tasks J Wei, K Zou arXiv preprint arXiv:1901.11196, 2019 | 2102 | 2019 |
| Unsupervised temporal video grounding with deep semantic clustering D Liu, X Qu, Y Wang, X Di, K Zou, Y Cheng, Z Xu, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1683-1691, 2022 | 39 | 2022 |
| M³vit: Mixture-of-experts vision transformer for efficient multi-task learning with model-accelerator co-design Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, Z Wang Advances in Neural Information Processing Systems 35, 28441-28457, 2022 | 33 | 2022 |
| Trajectory analyses of virologic outcomes reflecting community-based HIV treatment in Washington DC 1994–2012 JMF Ocampo, M Plankey, K Zou, J Collmann, C Wang, MA Young, C Liu, ... BMC Public Health 15, 1-11, 2015 | 18 | 2015 |
| Measuring the potential for mass displacement in menacing contexts J Collmann, J Blake, D Bridgeland, L Kinne, NS Yossinger, R Dillon, ... Journal of Refugee Studies 29 (3), 273-294, 2016 | 13 | 2016 |
| You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks? Z Yuan, P Zhou, K Zou, Y Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Evaluation metrics in the era of GPT-4: reliably evaluating large language models on sequence to sequence tasks A Sottana, B Liang, K Zou, Z Yuan arXiv preprint arXiv:2310.13800, 2023 | 11 | 2023 |
| Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding X Fang, D Liu, W Fang, P Zhou, Y Cheng, K Tang, K Zou Findings of the Association for Computational Linguistics: EMNLP 2023, 8721-8733, 2023 | 2 | 2023 |
| Inherent limitations of LLMs regarding spatial information H Yan, X Hu, X Wan, C Huang, K Zou, S Xu arXiv preprint arXiv:2312.03042, 2023 | | 2023 |
| Refugee Studies J COLLMANN, J BLAKE, D BRIDGELAND, L KINNE, NS YOSSINGER, ... | | 2016 |
| Supplementary Materials for M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design H Liang, Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, ... | | |
Jason WeiOpenAIVerified email at google.com
