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Yu Hong 0001
Person information
- affiliation: Soochow University, Computer Science and Technology, Suzhou, China
Other persons with the same name
- Yu Hong — disambiguation page
- Yu Hong 0002 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Tai Po Tsai, Hong Kong
- Yu Hong 0003 — Beijing University of Technology, Faculty of Information Technology, Beijing, China
- Yu Hong 0004 — University of Science and Technology of China, CAS Center for Excellence in Quantum Information and Quantum Physics, China
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2020 – today
- 2024
- [j7]Qingting Xu, Yu Hong, Jiaxiang Chen, Jianming Yao, Guodong Zhou:
Self-augmented sequentiality-aware encoding for aspect term extraction. Inf. Process. Manag. 61(2): 103656 (2024) - [c84]Shilin Zhou, Zhenghua Li, Chen Gong, Lei Zhang, Yu Hong, Min Zhang:
Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches. ACL (Findings) 2024: 1872-1884 - [c83]Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai:
CopyNE: Better Contextual ASR by Copying Named Entities. ACL (1) 2024: 2675-2686 - [c82]Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou:
Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition. CIKM 2024: 2503-2512 - [c81]Shiming He, Yu Hong, Shuai Yang, Jianmin Yao, Guodong Zhou:
Demonstration Retrieval-Augmented Generative Event Argument Extraction. LREC/COLING 2024: 4617-4625 - [c80]Chaoqun Liu, Yu Hong, Qingting Xu, Jianming Yao:
WKE: Word-Level Knowledge Enrichment for Aspect Term Extraction. ICANN (7) 2024: 381-394 - [c79]Jiaxiang Chen, Yu Hong, Chaoqun Liu, Qingting Xu, Guodong Zhou:
Decoupling and Refilling: A Simple Data Augmentation Method for Aspect Term Extraction. ICASSP 2024: 12582-12586 - [i7]Xiaolin Xing, Zhiwei He, Haoyu Xu, Xing Wang, Rui Wang, Yu Hong:
Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models. CoRR abs/2407.01358 (2024) - 2023
- [j6]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) - [c78]Rui Peng, Yu Hong, Zhiling Jin, Jianmin Yao, Guodong Zhou:
Feature Differentiation and Fusion for Semantic Text Matching. ECIR (2) 2023: 32-46 - [c77]Zhiling Jin, Yu Hong, Rui Peng, Jianmin Yao, Guodong Zhou:
Intention-Aware Neural Networks for Question Paraphrase Identification. ECIR (1) 2023: 474-488 - [c76]Yanling Li, Bowei Zou, Yifan Fan, Xibo Li, Ai Ti Aw, Yu Hong:
GLGR: Question-aware Global-to-Local Graph Reasoning for Multi-party Dialogue Reading Comprehension. EMNLP (Findings) 2023: 1817-1826 - [c75]Xibo Li, Bowei Zou, Yifan Fan, Yanling Li, Ai Ti Aw, Yu Hong:
Interview Evaluation: A Novel Approach for Automatic Evaluation of Conversational Question Answering Models. EMNLP 2023: 3435-3446 - [c74]Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Yangyang Kang, Jiaxiang Chen, Guodong Zhou:
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting. EMNLP (Findings) 2023: 3892-3897 - [c73]Yuxiang Lu, Yu Hong, Zhipang Wang, Guodong Zhou:
Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition. EMNLP (Findings) 2023: 5634-5640 - [c72]Yuxiang Lu, Yu Hong, Zujun Dou, Guodong Zhou:
Enhance Representational Differentiation Step by Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification. ICANN (6) 2023: 369-381 - [c71]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 - [c70]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 - [c69]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. IJCNN 2023: 1-8 - [c68]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
UFO: Unified Fact Obtaining for Commonsense Question Answering. IJCNN 2023: 1-8 - [c67]Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou:
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. IJCNN 2023: 1-8 - [c66]Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou:
Question Generation via Generative Adversarial Networks. IJCNN 2023: 1-8 - [c65]Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou:
Data Augmentation via Back-translation for Aspect Term Extraction. IJCNN 2023: 1-8 - [c64]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 - [i6]Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong:
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. CoRR abs/2305.08347 (2023) - [i5]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) - [i4]Zhifeng Li, Yifan Fan, Bowei Zou, Yu Hong:
UFO: Unified Fact Obtaining for Commonsense Question Answering. CoRR abs/2305.16048 (2023) - 2022
- [c63]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 - [c62]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 - [c61]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 - [c60]Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao, Min Zhang:
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval. ECIR (1) 2022: 322-335 - [c59]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 - [c58]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 - [c57]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 - [c56]Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou:
Event Detection with Cross-Sentence Graph Convolutional Networks. ICTAI 2022: 334-341 - [c55]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 - [c54]Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao:
Aspect Term Extraction via Contrastive Learning over Self-augmented Data. IJCNN 2022: 1-8 - [c53]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 - [c52]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 - [c51]Hao Liu, Yu Hong, Qiaoming Zhu:
Entity-Aware Social Media Reading Comprehension. PRICAI (2) 2022: 197-210 - [c50]Yuxiang Lu, Yu Hong, Xiao Li, Guodong Zhou:
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism. PRICAI (2) 2022: 347-358 - 2021
- [j5]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) - [c49]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 - [c48]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 - [c47]Zujun Dou, Yu Hong, Yu Sun, Guodong Zhou:
CVAE-based Re-anchoring for Implicit Discourse Relation Classification. EMNLP (Findings) 2021: 1275-1283 - [c46]Hongyu Zhu, Zhilin Jin, Yan Bai, Yu Hong, Min Zhang:
Multi-granularity Interaction Fusion for Neural Answer Source Selection. IALP 2021: 13-18 - [c45]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 - [i3]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
- [j4]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) - [c44]Minhan Xu, Yu Hong:
Improving Word Alignment with Contextualized Embedding and Bilingual Dictionary. Big Data (CCF) 2020: 180-194 - [c43]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 - [c42]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 - [c41]Rongtao Huang, Jing Ye, Bowei Zou, Yu Hong, Guodong Zhou:
Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution. NLPCC (2) 2020: 156-168 - [i2]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
- [j3]Yu Hong, Kai Wang, Weiyi Ge, Yingying Qiu, Guodong Zhou:
Cursor momentum for fascination measurement. Frontiers Comput. Sci. 13(2): 396-412 (2019) - [j2]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) - [c40]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 - [c39]Kaili Wu, Yu Hong, Mengmeng Zhu, Hongxuan Tang, Min Zhang:
Separate Answer Decoding for Multi-class Question Generation. IALP 2019: 325-330 - [c38]Hongxuan Tang, Yu Hong, Xin Chen, Kaili Wu, Min Zhang:
How to Answer Comparison Questions. IALP 2019: 337-342 - [c37]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 - [c36]Jiali Chen, Yu Hong, Jingli Zhang, Jianmin Yao:
Using Mention Segmentation to Improve Event Detection with Multi-head Attention. IALP 2019: 367-372 - [c35]Jiaxuan Sheng, Bowei Zou, Zhengxian Gong, Yu Hong, Guodong Zhou:
Chinese Event Factuality Detection. NLPCC (2) 2019: 486-496 - [c34]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
- [c33]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 - [c32]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 - [c31]Bowei Zou, Zengzhuang Xu, Yu Hong, Guodong Zhou:
Adversarial Feature Adaptation for Cross-lingual Relation Classification. COLING 2018: 437-448 - [c30]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 - [c29]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 - [c28]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 - [c27]Yu Hong, Jingli Zhang, Rui Song, Jianmin Yao:
Cross-Scenario Inference Based Event-Event Relation Detection. NLPCC (2) 2018: 257-267 - 2017
- [c26]Yang Xu, Huibin Ruan, Yu Hong:
Stacked Learning for Implicit Discourse Relation Recognition. CCIR 2017: 161-169 - [c25]Jian Tang, Yu Hong, Mengyi Liu, Jiashuo Zhang, Jianmin Yao:
Optimizing Topic Distributions of Descriptions for Image Description Translation. NLPCC 2017: 293-304 - [c24]Zengzhuang Xu, Rui Song, Bowei Zou, Yu Hong:
Unsupervised Slot Filler Refinement via Entity Community Construction. NLPCC 2017: 642-651 - [c23]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 - [c22]Mengyi Liu, Jian Tang, Yu Hong, Jianmin Yao:
Terminology Translation Error Identification and Correction. SMP 2017: 141-152 - 2016
- [c21]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 - [c20]Xiaobin Wang, Yu Hong, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
A Novel Approach for Relation Extraction with Few Labeled Data. SMP 2016: 73-84 - [c19]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 - [c18]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 - [i1]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
- [c17]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 - [c16]Jian Wang, Yu Hong, Kai Wang, Jianmin Yao, Qiaoming Zhu:
Correlation analysis between social network content and query intention. IALP 2015: 111-114 - 2014
- [c15]Le Liu, Yu Hong, Hao Liu, Xing Wang, Jian-Min Yao:
Effective Selection of Translation Model Training Data. ACL (2) 2014: 569-573 - [c14]Xing Wang, Deyi Xiong, Min Zhang, Yu Hong, Jianmin Yao:
A Topic-Based Reordering Model for Statistical Machine Translation. NLPCC 2014: 414-421 - [c13]Yu Hong, Shanshan Zhu, Weirong Yan, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
Expanding Native Training Data for Implicit Discourse Relation Classification. SMP 2014: 67-75 - 2012
- [c12]Yu Hong, Xiaopei Zhou, Tingting Che, Jian-Min Yao, Qiaoming Zhu, Guodong Zhou:
Cross-argument inference for implicit discourse relation recognition. CIKM 2012: 295-304 - [c11]Shengfeng Ju, Shoushan Li, Yan Su, Guodong Zhou, Yu Hong, Xiaojun Li:
Dual word and document seed selection for semi-supervised sentiment classification. CIKM 2012: 2295-2298 - [c10]Yu Hong, Jun Lu, Jian-Min Yao, Qiaoming Zhu, Guodong Zhou:
What reviews are satisfactory: novel features for automatic helpfulness voting. SIGIR 2012: 495-504 - 2011
- [c9]Yu Hong, Jianfeng Zhang, Bin Ma, Jian-Min Yao, Guodong Zhou, Qiaoming Zhu:
Using Cross-Entity Inference to Improve Event Extraction. ACL 2011: 1127-1136 - [c8]Yanhui Feng, Yu Hong, Wei Tang, Jian-Min Yao, Qiaoming Zhu:
Using HTML Tags to Improve Parallel Resources Extraction. IALP 2011: 255-259 - [c7]Jianfeng Zhang, Yunqing Xia, Bin Ma, Jian-Min Yao, Yu Hong:
Thread Cleaning and Merging for Microblog Topic Detection. IJCNLP 2011: 589-597 - 2010
- [j1]Jianfeng Zhang, Yu Hong, Bin Ma, Jian-Min Yao, Qiaoming Zhu:
Chinese Volitive Words Mining. Int. J. Asian Lang. Process. 20(4): 157-170 (2010) - [c6]Yu Hong, Fei Pei, Yuehui Yang, Jian-Min Yao, Qiaoming Zhu:
Jumping Distance based Chinese Person Name Disambiguation. CIPS-SIGHAN 2010 - [c5]Yun-Dong Ge, Yu Hong, Jian-Min Yao, Qiao-Ming Zhu:
Improving Web-Based OOV Translation Mining for Query Translation. AIRS 2010: 576-587 - [c4]Yanhui Feng, Yu Hong, Zhenxiang Yan, Jian-Min Yao, Qiaoming Zhu:
A Novel Method for Bilingual Web Page Acquisition from Search Engine Web Records. COLING (Posters) 2010: 294-302 - [c3]Yu Hong, Qing-qing Cai, Song Hua, Jian-Min Yao, Qiaoming Zhu:
Negative Feedback: The Forsaken Nature Available for Re-ranking. COLING (Posters) 2010: 436-444 - [c2]Jianfeng Zhang, Yu Hong, Yuehui Yang, Jian-Min Yao, Qiaoming Zhu:
A Grammar-Based Unsupervised Method of Mining Volitive Words. IALP 2010: 137-141 - [c1]Jian-Min Yao, Changlong Sun, Yu Hong, Yun-Dong Ge, Qiao-Ming Zhu:
Study on Wikipedia for translation mining for CLIR. ICMLC 2010: 3374-3379
Coauthor Index
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