| Learning contextual representations for semantic parsing with generation-augmented pre-training P Shi, P Ng, Z Wang, H Zhu, AH Li, J Wang, CN Santos, B Xiang AAAI 2020, 2020 | 96 | 2020 |
| Boosting in the presence of outliers: adaptive classification with nonconvex loss functions AH Li, J Bradic Journal of the American Statistical Association (JASA), Theory and Methods …, 2018 | 37 | 2018 |
| Decaf: Joint decoding of answers and logical forms for question answering over knowledge bases D Yu, S Zhang, P Ng, H Zhu, AH Li, J Wang, Y Hu, W Wang, Z Wang, ... arXiv preprint arXiv:2210.00063, 2022 | 32 | 2022 |
| Knowledge Enhanced Attention for Robust Natural Language Inference AH Li, A Sethy arXiv preprint arXiv:1909.00102, 2019 | 30* | 2019 |
| Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering AH Li, P Ng, P Xu, H Zhu, Z Wang, B Xiang ACL 2021, 2021 | 24 | 2021 |
| Forest-type regression with general losses and robust forest AH Li, A Martin International Conference on Machine Learning (ICML 2017), 2091-2100, 2017 | 24 | 2017 |
| Censored quantile regression forests AH Li, J Bradic International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019 | 20 | 2019 |
| Semi-Supervised Learning for Text Classification by Layer Partitioning AH Li, A Sethy International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2019 | 15 | 2019 |
| Contextual Rephrase Detection for Reducing Friction in Dialogue Systems Z Wang, S Gupta, J Hao, X Fan, D Li, AH Li, C Guo EMNLP 2021, 2021 | 10 | 2021 |
| Learning to Selectively Learn for Weakly-supervised Paraphrase Generation K Ding, D Li, AH Li, X Fan, C Guo, Y Liu, H Liu EMNLP 2021, 2021 | 8 | 2021 |
| Unite: A unified benchmark for text-to-sql evaluation W Lan, Z Wang, A Chauhan, H Zhu, A Li, J Guo, S Zhang, CW Hang, ... arXiv preprint arXiv:2305.16265, 2023 | 7 | 2023 |
| Generation-focused table-based intermediate pre-training for free-form question answering P Shi, P Ng, F Nan, H Zhu, J Wang, J Jiang, AH Li, R Chakravarti, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11312 …, 2022 | 7 | 2022 |
| Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, et al. 2023. Dr. spider: A diagnostic evaluation benchmark towards text-to-sql robustness S Chang, J Wang, M Dong, L Pan, H Zhu, AH Li arXiv preprint arXiv:2301.08881, 2023 | 6 | 2023 |
| Decomposed adversarial learned inference AH Li, Y Wang, C Chen, J Gao arXiv preprint arXiv:2004.10267, 2020 | 5 | 2020 |
| Generate then select: Open-ended visual question answering guided by world knowledge X Fu, S Zhang, G Kwon, P Perera, H Zhu, Y Zhang, AH Li, WY Wang, ... arXiv preprint arXiv:2305.18842, 2023 | 4 | 2023 |
| Dr. spider: A diagnostic evaluation benchmark towards text-to-sql robustness S Chang, J Wang, M Dong, L Pan, H Zhu, AH Li, W Lan, S Zhang, J Jiang, ... arXiv preprint arXiv:2301.08881, 2023 | 4 | 2023 |
| Importance of synthesizing high-quality data for text-to-SQL parsing Y Zhao, J Jiang, Y Hu, W Lan, H Zhu, A Chauhan, A Li, L Pan, J Wang, ... arXiv preprint arXiv:2212.08785, 2022 | 4 | 2022 |
| Benchmarking diverse-modal entity linking with generative models S Wang, AH Li, H Zhu, S Zhang, CW Hang, P Perera, J Ma, W Wang, ... arXiv preprint arXiv:2305.17337, 2023 | 3 | 2023 |
| Unified denoising pretraining and finetuning for data and text J Xian, D Li, AH Li, D Liu, X Fan, CE Guo, Y Liu, Y Tang WeCNLP 2021, 2021 | 1 | 2021 |
| Few-shot data-to-text generation via unified representation and multi-source learning AH Li, M Shang, E Spiliopoulou, J Ma, P Ng, Z Wang, B Min, W Wang, ... arXiv preprint arXiv:2308.05317, 2023 | | 2023 |
Patrick NgSenior Applied Scientist at Amazon AI LabsVerified email at cornell.edu
