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2020 – today
- 2025
[j6]Wei Chen
, Xiangdong Su, Hongxu Hou:
Fine-grained Automatic Augmentation for handwritten character recognition. Pattern Recognit. 159: 111079 (2025)- 2024
- [c46]Jipeng Ma, Hongxu Hou, Yuan Zhao, Shuo Sun, Wei Chen, Guodong Shi:
Optimizing Multi-feature Dependent Story Generation Model. ICIC (LNAI 3) 2024: 151-162 - [c45]Guodong Shi, Hongxu Hou, Wei Chen, Shuo Sun, Yuan Zhao, Jipeng Ma:
Improving Empathetic Response Generation by Emotion Recognition and Information Filtration. ICIC (LNAI 3) 2024: 163-176 - [c44]Yuying Lang, Hongxu Hou, Wei Chen, Shuo Sun:
MJP: A Meta-learning Approach for Chinese Legal Judgment Prediction. NLPCC (4) 2024: 16-27 - 2023
- [c43]Shuo Sun, Hongxu Hou, Yisong Wang:
Higher Target Relevance Parallel Machine Translation with Low-Frequency Word Enhancement. ICANN (8) 2023: 331-344 - [c42]Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang:
Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. IJCNN 2023: 1-7 - [c41]Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang:
Faster and More Robust Low-Resource Nearest Neighbor Machine Translation. NLPCC (2) 2023: 404-415 - 2022
- [c40]Pengcong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Yisong Wang:
Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation. CCMT 2022: 12-23 - [c39]Shuo Sun, Hongxu Hou, Nier Wu, Zongheng Yang, Yisong Wang, Pengcong Wang, Weichen Jian:
Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples. CCMT 2022: 60-71 - [c38]Yisong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Pengcong Wang:
Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation. CCMT 2022: 72-81 - [c37]Zongheng Yang, Hongxu Hou, Shuo Sun, Nier Wu, Yisong Wang, Weichen Jian, Pengcong Wang:
Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory. CCMT 2022: 82-92 - [c36]Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang, Nier Wu:
Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning. ICTAI 2022: 1175-1180 - [c35]Weichen Jian, Hongxu Hou, Nier Wu, Shuo Sun, Zongheng Yang, Yisong Wang, Pengcong Wang:
Multimodal Neural Machine Translation for Mongolian to Chinese. IJCNN 2022: 1-8 - 2021
- [c34]Nier Wu, Hongxu Hou, Xiaoning Jia, Xin Chang, Haoran Li:
Low-Resource Neural Machine Translation Based on Improved Reptile Meta-learning Method. CCMT 2021: 39-50 - [c33]Nier Wu, Hongxu Hou, Haoran Li, Xin Chang, Xiaoning Jia:
Semantic Perception-Oriented Low-Resource Neural Machine Translation. CCMT 2021: 51-62 - [c32]Xiaoning Jia, Hongxu Hou, Nier Wu, Haoran Li, Xin Chang:
Low-Resource Machine Translation Based on Asynchronous Dynamic Programming. CCL 2021: 16-28 - [c31]Nier Wu, Hongxu Hou, Ziyue Guo, Wei Zheng:
Low-Resource Neural Machine Translation Using XLNet Pre-training Model. ICANN (5) 2021: 503-514 - [c30]Nier Wu, Hongxu Hou, Wei Zheng, Shuo Sun:
Low-Resource Neural Machine Translation Using Fast Meta-learning Method. ICONIP (4) 2021: 188-199 - [c29]Haoran Li, Hongxu Hou, Nier Wu, Xiaoning Jia, Xin Chang:
Semantically Constrained Document-Level Chinese-Mongolian Neural Machine Translation. IJCNN 2021: 1-8 - [c28]Nier Wu, Hongxu Hou, Shuo Sun, Wei Zheng:
Low-Resource Neural Machine Translation with Neural Episodic Control. IJCNN 2021: 1-7 - [c27]Wei Zheng, Hongxu Hou, Nier Wu, Shuo Sun:
Bayesian Belief Network Model Using Sematic Concept for Expert Finding. KSEM 2021: 114-125 - [c26]Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng:
Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation. PRICAI (2) 2021: 46-57 - 2020
- [j5]Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu:
Adversarial Training for Unknown Word Problems in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 17:1-17:12 (2020) - [j4]Junjie Chen, Hongxu Hou, Jing Gao:
Inside Importance Factors of Graph-Based Keyword Extraction on Chinese Short Text. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 63:1-63:15 (2020) - [c25]Shuo Sun, Hongxu Hou, Nier Wu, Ziyue Guo, Chaowei Zhang:
Multi-reward Based Reinforcement Learning for Neural Machine Translation. CNCL 2020: 214-227 - [c24]Ziyue Guo, Hongxu Hou, Nier Wu, Shuo Sun:
Neural Machine Translation Based on Improved Actor-Critic Method. ICANN (2) 2020: 346-357 - [c23]Shuo Sun, Hongxu Hou, Nier Wu, Ziyue Guo:
Neural Machine Translation Based on Prioritized Experience Replay. ICANN (2) 2020: 358-368 - [c22]Ziyue Guo, Hongxu Hou, Nier Wu, Shuo Sun:
Word-Level Error Correction in Non-autoregressive Neural Machine Translation. ICONIP (4) 2020: 726-733 - [c21]Shuo Sun, Hongxu Hou, Nier Wu, Ziyue Guo:
Improving Mongolian-Chinese Machine Translation with Automatic Post-editing. ICONIP (1) 2020: 766-775 - [c20]Tiangang Bai, Hongxu Hou, Yatu Ji:
Sub-word Embedding Auxiliary Encoding in Mongolian-Chinese Neural Machine Translation. ICSCA 2020: 292-296
2010 – 2019
- 2019
- [c19]Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu:
Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise. ACL (2) 2019: 123-129 - [c18]Ziyu Wu, Hongxu Hou, Ziyue Guo, Xuejiao Wang, Shuo Sun:
Mongolian-Chinese Unsupervised Neural Machine Translation with Lexical Feature. CCL 2019: 334-345 - [c17]Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen:
Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language. ICANN (4) 2019: 326-336 - [c16]Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai, Yi Jing:
GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis. ICONIP (4) 2019: 189-197 - [c15]Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai:
Graph-Based Attention Networks for Aspect Level Sentiment Analysis. ICTAI 2019: 1188-1194 - [c14]Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao:
Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. IJCNN 2019: 1-7 - [c13]Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang Bai:
RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis. KSEM (1) 2019: 667-675 - [c12]Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu:
Training with Additional Semantic Constraints for Enhancing Neural Machine Translation. PRICAI (1) 2019: 300-313 - [c11]Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu:
Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation. PRICAI (1) 2019: 392-396 - 2018
- [c10]Yatu Ji, Hongxu Hou, Ying Lei, Zhong Ren:
An Optimized Regularization Method to Enhance Low-Resource MT. PDCAT 2018: 285-295 - 2017
- [j3]Jinting Li, Hongxu Hou, Jing Wu, Hongbin Wang, Wenting Fan:
语料预处理对蒙古文-汉文统计机器翻译的影响 (Effect of Preprocessing on Corpus of Mongolian-Chinese Statistical Machine Translation). 计算机科学 44(10): 259-264 (2017) - [c9]Jinting Li, Hongxu Hou, Jing Wu, Hongbin Wang, Wenting Fan, Zhong Ren:
Combining Discrete Lexicon Probabilities with NMT for Low-Resource Mongolian-Chinese Translation. PDCAT 2017: 104-111 - [c8]Hongbin Wang, Hongxu Hou, Jing Wu, Jinting Li, Wenting Fan:
Exploring Different Granularity in Mongolian-Chinese Machine Translation Based on CNN. PDCAT 2017: 112-116 - 2016
- [j2]Jing Wu, Hongxu Hou, Feilong Bao, Yupeng Jiang:
Template-Based Model for Mongolian-Chinese Machine Translation. J. Adv. Comput. Intell. Intell. Informatics 20(6): 893-901 (2016) - [c7]Jing Wu, Hongxu Hou, Zhipeng Shen, Jian Du, Jinting Li:
Adapting Attention-Based Neural Network to Low-Resource Mongolian-Chinese Machine Translation. NLPCC/ICCPOL 2016: 470-480 - 2015
- [c6]Yupeng Jiang, Hongxu Hou, Ping Yang:
LSA-Based Chinese-Slavic Mongolian NER Disambiguation. CIT/IUCC/DASC/PICom 2015: 703-708 - [c5]Congjiao Xie, Hongxu Hou, Jing Wu:
Fusion of multi-features for Mongolian part of speech. FSKD 2015: 1291-1295 - [c4]Jing Wu, Hongxu Hou, Congjiao Xie:
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT. PACLIC 2015 - [c3]Jing Wu, Hongxu Hou, Feilong Bao, Yupeng Jiang:
Template-based model for Mongolian - Chinese machine translation. TAAI 2015: 352-357
2000 – 2009
- 2008
- [c2]Guanglai Gao, Wei Jin, Fei Long, Hongxu Hou:
A First Investigation on Mongolian Information Retrieval. EVIA@NTCIR 2008 - 2007
- [j1]Qun Liu, Xiangdong Wang, Hong Liu, Le Sun, Sheng Tang, Deyi Xiong, Hongxu Hou, Yuanhua Lv, Wenbo Li, Shouxun Lin, Yueliang Qian:
HTRDP evaluations on Chinese information processing and intelligent human-machine interface. Frontiers Comput. Sci. China 1(1): 58-93 (2007) - 2004
- [c1]Hongxu Hou, Dan Dang, Gang Zou, Hongkui Yu, Yang Liu, Deyi Xiong, Qun Liu:
An EBMT system based on word alignment. IWSLT 2004: 47-49
Coauthor Index
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