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2020 – today
- 2025
[j16]Shuheng Wang
, Heyan Huang, Shumin Shi, Dongbai Li, Dongen Guo:
Correcting translation for non-autoregressive transformer. Appl. Soft Comput. 168: 112488 (2025)- 2024
- [j15]Heyan Huang, Puhai Yang, Wei Wei, Shumin Shi, Xian-Ling Mao:
OSTOD: One-Step Task-Oriented Dialogue with activated state and retelling response. Knowl. Based Syst. 293: 111677 (2024) - [j14]Shuheng Wang, Shumin Shi, Heyan Huang:
Alleviating repetitive tokens in non-autoregressive machine translation with unlikelihood training. Soft Comput. 28(5): 4681-4688 (2024) - [j13]Puhai Yang, Heyan Huang, Shumin Shi, Xian-Ling Mao:
STN4DST: A Scalable Dialogue State Tracking Based on Slot Tagging Navigation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2494-2507 (2024) - [c39]Yusong Mu, Shumin Shi:
Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis. Intelligent Information Processing (2) 2024: 46-57 - 2023
- [b1]Gaoyan Ou, Zhanxing Zhu, Bin Dong, Weinan E, Binyang Li, Shumin Shi:
Introduction to Data Science. WorldScientific 2023, ISBN 9789811263897, pp. 1-444 - [j12]Chenghao Wu, Shumin Shi, Jiaxing Hu, Heyan Huang:
Knowledge-enriched joint-learning model for implicit emotion cause extraction. CAAI Trans. Intell. Technol. 8(1): 118-128 (2023) - [j11]Shuheng Wang, Heyan Huang, Shumin Shi:
Incorporating history and future into non-autoregressive machine translation. Comput. Speech Lang. 77: 101439 (2023) - [j10]Shuheng Wang, Heyan Huang, Shumin Shi:
Better Localness for Non-Autoregressive Transformer. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 125:1-125:11 (2023) - [c38]Shichen Chen, Shumin Shi, Weiye Jiang:
Graph-Enhanced Question Generation with Question Type Prediction and Statement Recovery. CCEAI 2023: 60-65 - [c37]Sichen Liu, Shumin Shi, Dongyang Liu:
Interest Aware Dual-Channel Graph Contrastive Learning for Session-Based Recommendation. NLPCC (1) 2023: 147-158 - 2022
- [j9]Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, Heyan Huang, Shumin Shi, Hao Wu:
Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. Appl. Soft Comput. 131: 109795 (2022) - [j8]Chao Su, Heyan Huang, Shumin Shi, Ping Jian:
Improving Neural Machine Translation by Transferring Knowledge from Syntactic Constituent Alignment Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(5): 91:1-91:15 (2022) - [j7]Shumin Shi, Xing Wu, Rihai Su, Heyan Huang:
Low-resource Neural Machine Translation: Methods and Trends. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(5): 103:1-103:22 (2022) - [c36]Suzhe He, Shumin Shi, Chenghao Wu, Heyan Huang:
U3E: Unsupervised and Erasure-based Evidence Extraction for Machine Reading Comprehension. CCIS 2022: 585-589 - [c35]Dongyang Liu, Shumin Shi, Sichen Liu:
An Adaptive Session Selection Method for Recommendation System. IALP 2022: 464-469 - [c34]Junyu Tian, Zhikun Yang, Shumin Shi:
Unsupervised Style Control for Image Captioning. ICPCSEE (1) 2022: 413-424 - [c33]En Li, Shumin Shi, Zhikun Yang, He Yan Huang:
Augmenting Context Representation with Triggers Knowledge for Relation Extraction. Intelligent Information Processing 2022: 124-135 - [c32]Zhikun Yang, Shumin Shi, Junyu Tian, En Li, Heyan Huang:
LACNNER: Lexicon-Aware Character Representation for Chinese Nested Named Entity Recognition. ICSI (2) 2022: 254-264 - [i1]Suzhe He, Shumin Shi, Chenghao Wu:
U3E: Unsupervised and Erasure-based Evidence Extraction for Machine Reading Comprehension. CoRR abs/2210.02621 (2022) - 2021
- [j6]Shuheng Wang, Shumin Shi, Heyan Huang:
Enhanced encoder for non-autoregressive machine translation. Mach. Transl. 35(4): 595-609 (2021) - [j5]Shumin Shi, Dan Luo, Xing Wu, Congjun Long, Heyan Huang:
Multi-level Chunk-based Constituent-to-Dependency Treebank Transformation for Tibetan Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(2): 26:1-26:12 (2021) - [c31]Yuan Xu, Shumin Shi, Heyan Huang:
Incorporating Option and Out-of-domain Knowledge for Multi-choice Machine Reading Comprehension. CCIS 2021: 493-497 - [c30]Le Zhu, Shumin Shi, Heyan Huang:
Pseudo Label based Contrastive Sampling for Long Text Retrieval. IALP 2021: 95-98 - [c29]Xing Wu, Shumin Shi, Heyan Huang:
RESA: Relation Enhanced Self-Attention for Low-Resource Neural Machine Translation. IALP 2021: 159-164 - [c28]Shuheng Wang, Shumin Shi, Heyan Huang:
Improving Non-autoregressive Machine Translation with Soft-Masking. NLPCC (1) 2021: 141-152 - 2020
- [j4]Chao Su, Heyan Huang, Shumin Shi, Ping Jian, Xuewen Shi:
Neural machine translation with Gumbel Tree-LSTM based encoder. J. Vis. Commun. Image Represent. 71: 102811 (2020) - [c27]Yueyang Zhou, Shumin Shi, Heyan Huang:
Weighted Aggregator for the Open-World Knowledge Graph Completion. ICPCSEE (1) 2020: 283-291 - [c26]JiaRui Zhang, Hongzheng Li, Shumin Shi, Heyan Huang, Yue Hu, Xiangpeng Wei:
Dynamic Attention Aggregation with BERT for Neural Machine Translation. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j3]Huu-Anh Tran, Heyan Huang, Phuoc Tran, Shumin Shi, Huu Nguyen:
Preordering for Chinese-Vietnamese Statistical Machine Translation. IEICE Trans. Inf. Syst. 102-D(2): 375-382 (2019) - [j2]Heyan Huang, Hao Wu, Xiaochi Wei, Yang Gao, Shumin Shi:
Mapping sentences to concept transferred space for semantic textual similarity. Knowl. Inf. Syst. 60(3): 1353-1376 (2019) - [c25]Dan Luo, Shumin Shi, Rihai Su, Heyan Huang:
Data Augmentation Under Scarce Condition for Neural Machine Translation. CCIS 2019: 36-40 - [c24]Hongyu Liu, Shumin Shi, Heyan Huang:
Coarse-to-Fine Document Ranking for Multi-Document Reading Comprehension with Answer-Completion. IALP 2019: 407-412 - [c23]Jiaxing Hu, Shumin Shi, Heyan Huang:
Combining External Sentiment Knowledge for Emotion Cause Detection. NLPCC (1) 2019: 711-722 - 2018
- [c22]Shumin Shi, Heyan Huang, Kan Li:
The construction and practice of integration cultivation mechanism for innovative talents in CS discipline. TURC 2018: 110-114 - 2017
- [j1]Chao Su, Yuhang Guo, Heyan Huang, Shumin Shi, Chong Feng:
Incorporating target language semantic roles into a string-to-tree translation model. Frontiers Inf. Technol. Electron. Eng. 18(10): 1534-1542 (2017) - [c21]Shumin Shi, Heyan Huang, Jun Zheng:
From the perspective of teaching scheme: cultivating and training undergraduates driven by engineering education accreditation. ACM TUR-C 2017: 14:1-14:4 - [c20]Shumin Shi, Yujian Liu, Tianhang Wang, Congjun Long, Heyan Huang:
Tibetan Syllable-Based Functional Chunk Boundary Identification. CCL 2017: 439-448 - [c19]Shumin Shi, Meng Zhao, Jun Guan, Yaxuan Li, Heyan Huang:
A hierarchical lstm model with multiple features for sentiment analysis of sina weibo texts. IALP 2017: 379-382 - [c18]Rihai Su, Shumin Shi, Meng Zhao, Heyan Huang:
Utilizing Crowdsourcing for the Construction of Chinese-Mongolian Speech Corpus with Evaluation Mechanism. ICPCSEE (2) 2017: 55-65 - [c17]Chao Su, Heyan Huang, Shumin Shi, Yuhang Guo, Hao Wu:
A Parallel Recurrent Neural Network for Language Modeling with POS Tags. PACLIC 2017: 140-147 - [c16]Fanqing Meng, Wenpeng Lu, Yuteng Zhang, Ping Jian, Shumin Shi, Heyan Huang:
QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base. SemEval@ACL 2017: 235-238 - [c15]Rihai Su, Shumin Shi, Meng Zhao, Heyan Huang:
Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing. ICSI (2) 2017: 547-555 - 2016
- [c14]Shumin Shi, Xinyu Zhou, Meng Zhao, Heyan Huang:
Identifying Suspected Cybermob on Tieba. CCL 2016: 375-386 - 2015
- [c13]Chao Su, Heyan Huang, Shumin Shi, Ping Jian:
Chinese Text Analysis Based on Minimal Recursion Semantics. CLSW 2015: 421-429 - 2014
- [c12]Ruijing Li, Shumin Shi, Heyan Huang, Chao Su, Tianhang Wang:
A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution. CICLing (2) 2014: 53-61 - [c11]Haijun Zhang, Shumin Shi:
Which performs better for new word detection, character based or Chinese Word Segmentation based? IALP 2014: 10-14 - [c10]Tianhang Wang, Shumin Shi, Heyan Huang, Congjun Long, Ruijing Li:
Research on recognition of semantic chunk boundary in Tibetan. IALP 2014: 78-82 - 2013
- [c9]Yegang Li, Heyan Huang, Xingjian Zhao, Shumin Shi:
Named Entity Recognition Based on Bilingual Co-training. CLSW 2013: 480-489 - [c8]Chunlei Yan, Shumin Shi, Heyan Huang, Ruijing Li:
A Method for Network Topic Attention Forecast Based on Feature Words. IALP 2013: 211-214 - [c7]Haijun Zhang, Shumin Shi:
An Efficient Algorithm of Chinese String Sort in User-Defined Sequence. IALP 2013: 253-256 - 2011
- [c6]Chao-Yong Zhu, Shumin Shi, Haijun Zhang:
Gloss-based word domain assignment. NLPKE 2011: 150-155 - 2010
- [c5]Dongsheng Liu, Mei Zhong, Shumin Shi, Yanbo Zhao:
An AST Plagiarism Detection Model for Procedural Programming Languages. FCS 2010: 187-191 - [c4]Shumin Shi, Heyan Huang, Rui-Yang Chen:
A method of Chinese coreference resolution combined multi-features in discourse. ICMLC 2010: 1311-1316 - [c3]Haijun Zhang, Wei-Min Pan, Shumin Shi, Chao-Yong Zhu:
Application of Conditional Random Fields model in unknown words identification. ICMLC 2010: 1839-1843 - [c2]Haijun Zhang, Heyan Huang, Chao-Yong Zhu, Shumin Shi:
A pragmatic model for new Chinese word extraction. NLPKE 2010: 1-8
2000 – 2009
- 2008
- [c1]Chengqing Zong, Heyan Huang, Shumin Shi:
Applications of MT during Olympic Games 2008. GovAndCom@AMTA 2008: 470-479
Coauthor Index
aka: He Yan Huang
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last updated on 2025-01-23 20:32 CET by the dblp team
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