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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j18]Yu Hong, Jie Zhang, Hu Fan, Zhixiang Lang, Jiazhen Pang, Yukan Hou:
A marker-less assembly stage recognition method based on corner feature. Adv. Eng. Informatics 56: 101950 (2023)- [j17]Yu Hong
, Yi Li, Haining Tan:
A noninterference trusted dual system security guarantee method based on secure memory. Concurr. Comput. Pract. Exp. 35(2) (2023) - [j16]Yu Wang, Yu Hong, Yue Wang, Xin Zhou, Xin Gao, Chenyan Yu, Jiaxi Lin, Lu Liu, Jingwen Gao, Minyue Yin, Guoting Xu, Xiaolin Liu, Jinzhou Zhu:
Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data. J. Digit. Imaging 36(1): 326-338 (2023) - [c109]Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li, Jianfeng Qu, Yanghua Xiao, Wei Wang:
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction. AAAI 2023: 12872-12880 - [c108]Rui Peng, Yu Hong, Zhiling Jin, Jianmin Yao, Guodong Zhou:
Feature Differentiation and Fusion for Semantic Text Matching. ECIR (2) 2023: 32-46 - [c107]Mengxing Dong, Bowei Zou, Yanling Li, Yu Hong:
CoLISA: Inner Interaction via Contrastive Learning for Multi-choice Reading Comprehension. ECIR (1) 2023: 264-278 - [c106]Zhiling Jin, Yu Hong, Rui Peng, Jianmin Yao, Guodong Zhou:
Intention-Aware Neural Networks for Question Paraphrase Identification. ECIR (1) 2023: 474-488 - [c105]Zhongqiu Li, Yu Hong, Shiming He, Shuai Yang, Guodong Zhou:
A Mixture of Experts with Adaptive Semantic Encoding for Event Detection. IJCNN 2023: 1-7 - [c104]Yanling Li, Bowei Zou, Yifan Fan, Mengxing Dong, Yu Hong:
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension. IJCNN 2023: 1-8 - [c103]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. IJCNN 2023: 1-8 - [c102]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
UFO: Unified Fact Obtaining for Commonsense Question Answering. IJCNN 2023: 1-8 - [c101]Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou:
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. IJCNN 2023: 1-8 - [c100]Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou:
Question Generation via Generative Adversarial Networks. IJCNN 2023: 1-8 - [c99]Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou:
Data Augmentation via Back-translation for Aspect Term Extraction. IJCNN 2023: 1-8 - [c98]Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Jiaxiang Chen, Yangyang Kang, Guodong Zhou:
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction. IJCNN 2023: 1-6 - [c97]Junjie Wang, Rui Peng, Yu Hong:
Learning to Attentively Represent Distinctive Information for Semantic Text Matching. NLPCC (1) 2023: 95-107 - [c96]Haoyu Xu, Xing Wang, Xiaolin Xing, Yu Hong:
Monolingual Denoising with Large Language Models for Low-Resource Machine Translation. NLPCC (1) 2023: 413-425 - [e10]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14302, Springer 2023, ISBN 978-3-031-44692-4 [contents] - [e9]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14303, Springer 2023, ISBN 978-3-031-44695-5 [contents] - [e8]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14304, Springer 2023, ISBN 978-3-031-44698-6 [contents] - [i11]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. CoRR abs/2305.08347 (2023) - [i10]Yanling Li, Bowei Zou, Yifan Fan, Mengxing Dong, Yu Hong:
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension. CoRR abs/2305.08348 (2023) - [i9]Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai:
CopyNE: Better Contextual ASR by Copying Named Entities. CoRR abs/2305.12839 (2023) - [i8]Zhifeng Li, Yifan Fan, Bowei Zou, Yu Hong:
UFO: Unified Fact Obtaining for Commonsense Question Answering. CoRR abs/2305.16048 (2023) - 2022
- [j15]Yu Hong, Zhenhu Ning, Yu Sun, Changxiang Shen:
A dual-system trusted computing node construction method based on ARM multi-core CPU architecture. Concurr. Comput. Pract. Exp. 34(19) (2022) - [j14]Yu Hong:
Application of convolution neural networks-based hierarchical perception technology in 3D clothing designs. IET Networks 11(6): 257-263 (2022) - [j13]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Trans. Cybern. 52(6): 4949-4959 (2022) - [c95]Minhan Xu, Yu Hong:
Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation. ACL (2) 2022: 613-619 - [c94]Yu Hong, Zhixu Li, Jianfeng Qu, Jiaqing Liang, Yi Luo, Miyu Zhang, Yanghua Xiao, Wei Wang:
Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. CIKM 2022: 758-767 - [c93]Zhongqiu Li, Yu Hong, Jie Wang, Shiming He, Jianmin Yao, Guodong Zhou:
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection. COLING 2022: 2633-2638 - [c92]Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Yu Hong, Min Zhang:
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing. COLING 2022: 4160-4171 - [c91]Xiaolin Xing, Yu Hong, Minhan Xu, Jianmin Yao, Guodong Zhou:
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation. COLING 2022: 4481-4491 - [c90]Yu Hong, Yanghua Xiao, Wei Wang, Yunwen Chen:
Modeling Uncertainty in Neural Relation Extraction. DASFAA (3) 2022: 340-348 - [c89]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. ECCV (10) 2022: 87-104 - [c88]Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao, Min Zhang:
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval. ECIR (1) 2022: 322-335 - [c87]Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang:
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. EMNLP 2022: 7782-7794 - [c86]Yu Hong, Zhenhu Ning:
A trusted construction mechanism for sever based on trusted hard disk. ICCNS 2022: 90-97 - [c85]Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou:
Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features. ICTAI 2022: 303-310 - [c84]Xibo Li, Bowei Zou, Mengxing Dong, Jianmin Yao, Yu Hong:
Concession-First Learning and Coarse-to-Fine Retrieval for Open-Domain Conversational Question Answering. ICTAI 2022: 317-325 - [c83]Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou:
Event Detection with Cross-Sentence Graph Convolutional Networks. ICTAI 2022: 334-341 - [c82]Zujun Dou, Yu Hong, Yu Sun, Xiao Li, Guodong Zhou:
Enhancing Implicit Discourse Relation Classification by Perceiving External Semantics and Convolving Internal Semantics. ICTAI 2022: 500-507 - [c81]Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao:
Aspect Term Extraction via Contrastive Learning over Self-augmented Data. IJCNN 2022: 1-8 - [c80]Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang:
Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation. IJCNN 2022: 1-8 - [c79]Jin Qian, Bowei Zou, Mengxing Dong, Xiao Li, AiTi Aw, Yu Hong:
Capturing Conversational Interaction for Question Answering via Global History Reasoning. NAACL-HLT (Findings) 2022: 2071-2078 - [c78]Hao Liu, Yu Hong, Qiaoming Zhu:
Entity-Aware Social Media Reading Comprehension. PRICAI (2) 2022: 197-210 - [c77]Yuxiang Lu, Yu Hong, Xiao Li, Guodong Zhou:
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism. PRICAI (2) 2022: 347-358 - [e7]Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou:
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13551, Springer 2022, ISBN 978-3-031-17119-2 [contents] - [e6]Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou:
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13552, Springer 2022, ISBN 978-3-031-17188-8 [contents] - [i7]Minhan Xu, Yu Hong:
Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation. CoRR abs/2205.04067 (2022) - [i6]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. CoRR abs/2211.07171 (2022) - 2021
- [j12]Chih-Wei Lin, Yu Hong, Jinfu Liu:
Aggregation-and-Attention Network for brain tumor segmentation. BMC Medical Imaging 21(1): 109 (2021) - [j11]Bowei Zou, Rongtao Huang, Zengzhuang Xu, Yu Hong, Guodong Zhou:
Language Adaptation for Entity Relation Classification via Adversarial Neural Networks. J. Comput. Sci. Technol. 36(1): 207-220 (2021) - [j10]Yu Liu, Yan Wang, Yu Hong, Qianyun Shi, Shan Gao, Xueliang Huang:
Toward Robust Non-Intrusive Load Monitoring via Probability Model Framed Ensemble Method. Sensors 21(21): 7272 (2021) - [c76]Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu, Haifeng Wang:
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications. ACL/IJCNLP (2) 2021: 955-963 - [c75]Yeqiu Li, Bowei Zou, Zhifeng Li, Ai Ti Aw, Yu Hong, Qiaoming Zhu:
Winnowing Knowledge for Multi-choice Question Answering. EMNLP (Findings) 2021: 1157-1165 - [c74]Zujun Dou, Yu Hong, Yu Sun, Guodong Zhou:
CVAE-based Re-anchoring for Implicit Discourse Relation Classification. EMNLP (Findings) 2021: 1275-1283 - [c73]Hongyu Zhu, Zhilin Jin, Yan Bai, Yu Hong, Min Zhang:
Multi-granularity Interaction Fusion for Neural Answer Source Selection. IALP 2021: 13-18 - [c72]Mengxing Dong, Bowei Zou, Jin Qian, Rongtao Huang, Yu Hong:
ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension. NLPCC (1) 2021: 427-438 - [e5]Lu Wang, Yansong Feng, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13028, Springer 2021, ISBN 978-3-030-88479-6 [contents] - [e4]Lu Wang, Yansong Feng, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13029, Springer 2021, ISBN 978-3-030-88482-6 [contents] - [i5]Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang:
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. CoRR abs/2112.08609 (2021) - 2020
- [j9]Lei Xiao, Huaikou Miao, Tingting Shi, Yu Hong:
LSTM-based deep learning for spatial-temporal software testing. Distributed Parallel Databases 38(3): 687-712 (2020) - [j8]Jingli Zhang, Yu Hong, Wenxuan Zhou, Jianmin Yao, Min Zhang:
Interactive learning for joint event and relation extraction. Int. J. Mach. Learn. Cybern. 11(2): 449-461 (2020) - [c71]Hao Tan, Jiayong Peng, Zhiwei Xiong, Dong Liu, Xin Huang, Zheng-Ping Li, Yu Hong, Feihu Xu:
Deep Learning Based Single-Photon 3D Imaging with Multiple Returns. 3DV 2020: 1196-1205 - [c70]Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng, Jianmin Yao:
Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction. ACL 2020: 3678-3684 - [c69]Minhan Xu, Yu Hong:
Improving Word Alignment with Contextualized Embedding and Bilingual Dictionary. Big Data (CCF) 2020: 180-194 - [c68]Xiao Li, Yu Hong, Huibin Ruan, Zhen Huang:
Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification. COLING 2020: 1513-1518 - [c67]Rongtao Huang, Bowei Zou, Yu Hong, Wei Zhang, AiTi Aw, Guodong Zhou:
NUT-RC: Noisy User-generated Text-oriented Reading Comprehension. COLING 2020: 2687-2698 - [c66]Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang:
Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition. COLING 2020: 3168-3178 - [c65]Hao Wang, Zhen Huang, Yong Dou, Yu Hong:
Argumentation Mining on Essays at Multi Scales. COLING 2020: 5480-5493 - [c64]Yu Hong, Suo Feng, Yanghua Xiao:
EntityLDA: A Topic Model for Entity Retrieval on Knowledge Graph. ICKG 2020: 388-395 - [c63]Rongtao Huang, Jing Ye, Bowei Zou, Yu Hong, Guodong Zhou:
Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution. NLPCC (2) 2020: 156-168 - [e3]Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12430, Springer 2020, ISBN 978-3-030-60449-3 [contents] - [e2]Xiaodan Zhu, Min Zhang, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12431, Springer 2020, ISBN 978-3-030-60456-1 [contents] - [i4]Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhixin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. CoRR abs/2001.04803 (2020) - [i3]Hongxuan Tang, Jing Liu, Hongyu Li, Yu Hong, Hua Wu, Haifeng Wang:
DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models. CoRR abs/2004.11142 (2020)
2010 – 2019
- 2019
- [j7]Yu Hong, Kai Wang, Weiyi Ge, Yingying Qiu, Guodong Zhou:
Cursor momentum for fascination measurement. Frontiers Comput. Sci. 13(2): 396-412 (2019) - [j6]Yu Hong, Siyuan Ding, Yang Xu, Xiaoxia Jiang, Yu Wang, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
Focus-sensitive relation disambiguation for implicit discourse relation detection. Frontiers Comput. Sci. 13(6): 1266-1281 (2019) - [c62]Scott C. Douglas, Yu Hong:
Simple Iterative Algorithms for Approximate And Bounded Parameter Orthonormality. ACSSC 2019: 2101-2105 - [c61]Xirong Xu, Zhiyang Wang, Yu Hong, Tianfan Xia, Jun Cheng, Jingqing Jiang:
Classification of Spectrum Images of Solar Radio Bursts Based on Deep Learning. CIS 2019: 241-246 - [c60]Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw:
Negative Focus Detection via Contextual Attention Mechanism. EMNLP/IJCNLP (1) 2019: 2251-2261 - [c59]Kaili Wu, Yu Hong, Mengmeng Zhu, Hongxuan Tang, Min Zhang:
Separate Answer Decoding for Multi-class Question Generation. IALP 2019: 325-330 - [c58]Hongxuan Tang, Yu Hong, Xin Chen, Kaili Wu, Min Zhang:
How to Answer Comparison Questions. IALP 2019: 337-342 - [c57]Huibin Ruan, Yu Hong, Yu Sun, Yang Xu, Min Zhang:
Using WHY-type Question-Answer Pairs to Improve Implicit Causal Relation Recognition. IALP 2019: 355-360 - [c56]Jiali Chen, Yu Hong, Jingli Zhang, Jianmin Yao:
Using Mention Segmentation to Improve Event Detection with Multi-head Attention. IALP 2019: 367-372 - [c55]Jiaxuan Sheng, Bowei Zou, Zhengxian Gong, Yu Hong, Guodong Zhou:
Chinese Event Factuality Detection. NLPCC (2) 2019: 486-496 - [c54]Yu Sun, Huibin Ruan, Yu Hong, Chenghao Wu, Min Zhang, Guodong Zhou:
Multi-grain Representation Learning for Implicit Discourse Relation Recognition. NLPCC (1) 2019: 725-736 - 2018
- [c53]Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou:
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection. ACL (1) 2018: 515-526 - [c52]Yu Hong, Yang Xu, Huibin Ruan, Bowei Zou, Jianmin Yao, Guodong Zhou:
Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition. COLING 2018: 177-189 - [c51]Bowei Zou, Zengzhuang Xu, Yu Hong, Guodong Zhou:
Adversarial Feature Adaptation for Cross-lingual Relation Classification. COLING 2018: 437-448 - [c50]Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou:
Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition. EMNLP 2018: 725-731 - [c49]Yu Hong, Ronald K. Mo, Andrew Horner:
The Effects of Mode, Pitch, and Dynamics on Valence in Piano Scales and Chord Progressions. ICMC 2018 - [c48]Jingli Zhang, Wenxuan Zhou, Yu Hong, Jianmin Yao, Min Zhang:
Using Entity Relation to Improve Event Detection via Attention Mechanism. NLPCC (1) 2018: 171-183 - [c47]Xiaozheng Dong, Yu Hong, Xin Chen, Weikang Li, Min Zhang, Qiaoming Zhu:
Neural Question Generation with Semantics of Question Type. NLPCC (2) 2018: 213-223 - [c46]Yu Hong, Jingli Zhang, Rui Song, Jianmin Yao:
Cross-Scenario Inference Based Event-Event Relation Detection. NLPCC (2) 2018: 257-267 - [e1]Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong:
Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8-12, 2017, Proceedings. Lecture Notes in Computer Science 10619, Springer 2018, ISBN 978-3-319-73617-4 [contents] - 2017
- [c45]Yang Xu, Huibin Ruan, Yu Hong:
Stacked Learning for Implicit Discourse Relation Recognition. CCIR 2017: 161-169 - [c44]Yu Hong, Chuck-Jee Chau, Andrew Horner:
Mode and Register Categorizations for Predicting Mood in Classical Piano Music2. ICMC 2017 - [c43]Yu Hong, Chuck-Jee Chau, Andrew Horner:
A Study of What Makes Calm and Sad Music So Difficult to Distinguish in Music Emotion Recognition. ICMC 2017 - [c42]Jian Tang, Yu Hong, Mengyi Liu, Jiashuo Zhang, Jianmin Yao:
Optimizing Topic Distributions of Descriptions for Image Description Translation. NLPCC 2017: 293-304 - [c41]Zengzhuang Xu, Rui Song, Bowei Zou, Yu Hong:
Unsupervised Slot Filler Refinement via Entity Community Construction. NLPCC 2017: 642-651 - [c40]Fenhong Zhu, Xiaozheng Dong, Rui Song, Yu Hong, Qiaoming Zhu:
A Multiple Learning Model Based Voting System for News Headline Classification. NLPCC 2017: 797-806 - [c39]Mengyi Liu, Jian Tang, Yu Hong, Jianmin Yao:
Terminology Translation Error Identification and Correction. SMP 2017: 141-152 - 2016
- [j5]Qi Yue, Lei Johnny Zhang, Yongshan Peng, Bingwen Yu, Yu Hong, Quan Xiao:
Decision method for two-sided matching with interval-valued intuitionistic fuzzy sets considering matching aspirations. J. Intell. Fuzzy Syst. 31(6): 2903-2910 (2016) - [c38]Yu Hong, Tongtao Zhang, Tim O'Gorman, Sharone Horowit-Hendler, Heng Ji, Martha Palmer:
Building a Cross-document Event-Event Relation Corpus. LAW@ACL 2016 - [c37]Yu Hong, XiaoLing Xia, Jiajin Le, Xiangdong Zhou:
Learning Bayesian Network Structure from Large-Scale Datasets. CBD 2016: 258-264 - [c36]Siyuan Ding, Yu Hong, Shanshan Zhu, Jianmin Yao, Qiaoming Zhu:
Combining Event-Level and Cross-Event Semantic Information for Event-Oriented Relation Classification by SCNN. CCL 2016: 216-224 - [c35]Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, Heng Ji:
Image-Image Search for Comparable Corpora Construction. HyTra@COLING 2016: 16-25 - [c34]Xiaobin Wang, Yu Hong, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
A Novel Approach for Relation Extraction with Few Labeled Data. SMP 2016: 73-84 - [c33]Kai Wang, Yingying Qiu, Yu Hong, Yadong Chen, Jianming Yao, Qiaoming Zhu, Guodong Zhou:
A Case Study on Active Learning for Event Extraction. SMP 2016: 134-142 - [c32]Liang Yao, Mengyi Liu, Yu Hong, Hao Liu, Jianmin Yao:
Topic Model Based Adaptation Data Selection for Domain-Specific Machine Translation. SMP 2016: 162-171 - [i2]Yu Hong, Yingying Qiu, Zengzhuang Xu, Wenxuan Zhou, Jian Tang, Xiaobin Wang, Liang Yao, Jianmin Yao:
SoochowNLP Team System Description for 2016 KBP Slot Filling and Nugget Detection Tasks. TAC 2016 - 2015
- [j4]Jun Wu, Zhifeng Zhang, Yu Hong, Yonggang Wen:
Cloud radio access network (C-RAN): a primer. IEEE Netw. 29(1): 35-41 (2015) - [c31]Yu Hong, Xiaobin Wang, Yadong Chen, Jian Wang, Tongtao Zhang, Heng Ji:
Biography-Dependent Collaborative Entity Archiving for Slot Filling. EMNLP 2015: 665-675 - [c30]Hao Liu, Yu Hong, Liang Yao, Le Liu, Jianmin Yao, Qiaoming Zhu:
A novel method to optimize training data for translation model adaptation. IALP 2015: 1-4 - [c29]