Learning context-specific word/character embeddings X Zheng, J Feng, Y Chen, H Peng, W Zhang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 27 | 2017 |
Character-based parsing with convolutional neural network X Zheng, H Peng, Y Chen, P Zhang, W Zhang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 12 | 2015 |
OSAN: A one-stage alignment network to unify multimodal alignment and unsupervised domain adaptation Y Liu, L Qiao, C Lu, D Yin, C Lin, H Peng, B Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
RNN-based sequence-preserved attention for dependency parsing Y Zhou, J Zhou, L Liu, J Feng, H Peng, X Zheng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 4 | 2018 |
Grafting pre-trained models for multimodal headline generation L Qiao, C Wu, Y Liu, H Peng, D Yin, B Ren Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
Attention-based belief or disbelief feature extraction for dependency parsing H Peng, L Liu, Y Zhou, J Zhou, X Zheng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 2 | 2018 |
Detecting Abnormal Start-Ups, Unusual Resource Consumptions of the Smart Phone: A Deep Learning Approach X ZHENG, Y LU, H PENG, J FENG, Y ZHOU, M JIANG, L MA, J ZHANG, ... ZTE Communications 17 (2), 38, 2019 | 1 | 2019 |
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought Z Jiang, H Peng, S Feng, F Li, D Li arXiv preprint arXiv:2405.06705, 2024 | | 2024 |
VKIE: The Application of Key Information Extraction on Video Text S An, Y Liu, H Peng, D Yin Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |