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ORCIDYing Shen 0001
Person information
- affiliation: Sun Yat-Sen University, School of Intelligent Systens Engineering, China
- affiliation (2017 - 2020): Peking University, School of Electronics and Computer Engineering, China
- affiliation (PhD): Paris Nanterre University, France
Other persons with the same name
- Ying Shen — disambiguation page
- Ying Shen 0002
![[0000-0002-0828-8833]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0828-8833")
— Zhejiang University, Institute of Cyber-Systems and Control, Hangzhou, China (and 1 more) - Ying Shen 0003 — Tianjin University, School of Electrical and Information Engineering, China
- Ying Shen 0004 — Fuzhou University, College of Mechanical Engineering and Automation, China
- Ying Shen 0005 — Tongji University, School of Software Engineering, Shanghai, China
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Journal Articles
- 2024
[j45]Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen:
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. Artif. Intell. Medicine 147: 102735 (2024)- [j44]Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng:
A Unified Framework for Contextual and Factoid Question Generation. IEEE Trans. Knowl. Data Eng. 36(1): 21-34 (2024) - 2023
- [j43]Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. ACM Comput. Surv. 55(8): 173:1-173:38 (2023) - [j42]Ting Zhou, Ying Shen, Kang Chen, Qing Cao:
Hierarchical dual graph convolutional network for aspect-based sentiment analysis. Knowl. Based Syst. 276: 110740 (2023) - [j41]Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen:
Active relation discovery: Towards general and label-aware open relation extraction. Knowl. Based Syst. 282: 111094 (2023) - [j40]Yilin Zhang, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng, Ying Shen, Lan Zhou:
Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3858-3869 (2023) - [j39]Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen:
Automatic Context Pattern Generation for Entity Set Expansion. IEEE Trans. Knowl. Data Eng. 35(12): 12458-12469 (2023) - [j38]Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen:
Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5051-5063 (2023) - 2022
- [j37]Ying Shen, Dagang Li, Du Nan:
Modeling path information for knowledge graph completion. Neural Comput. Appl. 34(3): 1951-1961 (2022) - [j36]Ying Shen, Yilin Zhang, Kaiqi Yuan, Dagang Li, Hai-Tao Zheng:
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. IEEE Trans. Big Data 8(5): 1387-1398 (2022) - [j35]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. 40(1): 2:1-2:33 (2022) - 2021
- [j34]Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen:
Practical fine-grained learning based anomaly classification for ECG image. Artif. Intell. Medicine 119: 102130 (2021) - [j33]Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen:
FM-ECG: A fine-grained multi-label framework for ECG image classification. Inf. Sci. 549: 164-177 (2021) - [j32]Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian:
Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowl. Based Syst. 214: 106730 (2021) - [j31]Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen:
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12(3): 761-775 (2021) - [j30]Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang:
Modeling Relation Paths for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 33(11): 3607-3617 (2021) - [j29]Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei:
Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Trans. Neural Networks Learn. Syst. 32(1): 49-62 (2021) - [j28]Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen:
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2744-2757 (2021) - [j27]Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li:
An Effective Hybrid Learning Model for Real-Time Event Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4419-4431 (2021) - 2020
- [j26]Kai Lei, Bing Zhang, Yu Li, Min Yang, Ying Shen:
Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading. Expert Syst. Appl. 140 (2020) - [j25]Min Yang, Xintong Wang, Yao Lu, Jianming Lv, Ying Shen, Chengming Li:
Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint. Inf. Sci. 521: 46-61 (2020) - [j24]Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu:
Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. Neural Comput. Appl. 32(11): 6421-6433 (2020) - [j23]Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen:
Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. 32(11): 6957-6966 (2020) - [j22]Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen:
Generative adversarial fusion network for class imbalance credit scoring. Neural Comput. Appl. 32(12): 8451-8462 (2020) - [j21]Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu:
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. Neural Networks 132: 53-65 (2020) - [j20]Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen:
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. IEEE Trans. Cybern. 50(11): 4680-4693 (2020) - [j19]Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen:
An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. IEEE Trans. Cybern. 50(12): 4946-4957 (2020) - [j18]Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li:
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. IEEE Trans. Image Process. 29: 9627-9640 (2020) - 2019
- [j17]Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang:
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. BMC Bioinform. 20(1): 330:1-330:14 (2019) - [j16]Shuai Yu, Min Yang, Qiang Qu, Ying Shen:
Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Syst. Appl. 136: 365-375 (2019) - [j15]Jia Zhu, Gabriel Pui Cheong Fung, Zeyang Lei, Min Yang, Ying Shen:
An in-depth study of similarity predicate committee. Inf. Process. Manag. 56(3): 381-393 (2019) - [j14]Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu:
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486: 271-286 (2019) - [j13]Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei:
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics 11(1): 22:1-22:16 (2019) - [j12]Ying Shen, Kaiqi Yuan, Jingchao Dai, Buzhou Tang, Min Yang, Kai Lei:
KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. J. Medical Syst. 43(4): 92:1-92:9 (2019) - [j11]Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou:
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks 117: 240-248 (2019) - [j10]Min Yang, Wei Zhao, Lei Chen, Qiang Qu, Zhou Zhao, Ying Shen:
Investigating the transferring capability of capsule networks for text classification. Neural Networks 118: 247-261 (2019) - [j9]Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen:
MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22(2): 499-515 (2019) - 2018
- [j8]Kai Lei, Ying Liu, Shangru Zhong, Yongbin Liu, Kuai Xu, Ying Shen, Min Yang:
Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach. IEEE Access 6: 13302-13316 (2018) - [j7]Ying Shen, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, Kai Lei:
Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. IEEE Access 6: 52095-52104 (2018) - [j6]Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei:
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. Artif. Intell. Medicine 86: 20-32 (2018) - [j5]Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei:
EAPB: entropy-aware path-based metric for ontology quality. J. Biomed. Semant. 9(1): 20:1-20:11 (2018) - [j4]Kai Lei, Lizhu Zhang, Ying Liu, Ying Shen, Chenwei Liu, Qian Yu, WeiTao Weng:
An event summarizing algorithm based on the timeline relevance model in Sina Weibo. Sci. China Inf. Sci. 61(12): 129101:1-129101:3 (2018) - [j3]Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei:
Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307: 91-97 (2018) - [j2]Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei:
CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. J. Biomed. Informatics 88: 1-10 (2018) - 2015
- [j1]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Kai Lei:
Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system. J. Biomed. Informatics 56: 307-317 (2015)
Conference and Workshop Papers
- 2023
- [c65]Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen:
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. EMNLP 2023: 6174-6189 - [c64]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675 - [c63]Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen:
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP 2023: 1-5 - [c62]Jingyou Xie, Zishuo Zhao, Zhenzhou Lin, Ying Shen:
Multimodal Graph Learning for Cross-Modal Retrieval. SDM 2023: 145-153 - [c61]Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen:
Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. SIGIR 2023: 2047-2051 - 2022
- [c60]Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Yangning Li, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen:
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. EMNLP (Findings) 2022: 576-589 - [c59]Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Learning Purified Feature Representations from Task-irrelevant Labels. IJCNN 2022: 1-8 - [c58]Shiyang Lin, Chenhe Dong, Ying Shen:
Cross-perspective Graph Contrastive Learning. KSEM (1) 2022: 58-70 - [c57]Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. SIGIR 2022: 1077-1086 - 2021
- [c56]Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu:
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. AAAI 2021: 3022-3029 - [c55]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI 2021: 7422-7430 - [c54]Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang:
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. ACL/IJCNLP (2) 2021: 517-523 - [c53]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) 2021: 3126-3136 - [c52]Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen:
Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) 2021: 9772-9783 - [c51]Haozhuang Liu, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen:
Multi-Entity Collaborative Relation Extraction. ICASSP 2021: 7678-7682 - [c50]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [c49]Dong Wang, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen:
Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition. IJCNN 2021: 1-8 - [c48]Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu:
Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. SIGIR 2021: 2086-2090 - 2020
- [c47]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI 2020: 7651-7658 - [c46]Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao:
Integrating Linguistic Knowledge to Sentence Paraphrase Generation. AAAI 2020: 8368-8375 - [c45]Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei:
Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI 2020: 9322-9329 - [c44]Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu:
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. AAAI 2020: 9410-9417 - [c43]Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang:
Interactive Dual Generative Adversarial Networks for Image Captioning. AAAI 2020: 11588-11595 - [c42]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL 2020: 5940-5950 - [c41]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu:
Decision Support System for Acupuncture Treatment of Ischemic Stroke. ADMA 2020: 582-594 - [c40]Yang Deng, Dagang Li, Qiang Zhang, Ying Shen:
Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. BIBM 2020: 562-569 - [c39]Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen:
An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM 2020: 165-174 - [c38]Dongming Sheng, Dong Wang, Ying Shen, Haitao Zheng, Haozhuang Liu:
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition. COLING 2020: 4153-4163 - [c37]Dong Wang, Ziran Li, Haitao Zheng, Ying Shen:
Integrating User History into Heterogeneous Graph for Dialogue Act Recognition. COLING 2020: 4211-4221 - [c36]Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen:
Answer-driven Deep Question Generation based on Reinforcement Learning. COLING 2020: 5159-5170 - [c35]Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu:
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. EMNLP (1) 2020: 3498-3507 - [c34]Dong Wang, Ying Shen, Hai-Tao Zheng:
Knowledge Enhanced Latent Relevance Mining for Question Answering. ICASSP 2020: 4282-4286 - [c33]Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng:
Infobox-to-text Generation with Tree-like Planning based Attention Network. IJCAI 2020: 3773-3779 - [c32]Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen:
Triple-to-Text Generation with an Anchor-to-Prototype Framework. IJCAI 2020: 3780-3786 - [c31]Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR 2020: 1693-1696 - [c30]Min Yang, Ying Shen, Xiaojun Chen, Chengming Li:
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. SIGIR 2020: 1913-1916 - 2019
- [c29]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI 2019: 6318-6325 - [c28]Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI 2019: 7362-7369 - [c27]Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen:
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. AAAI 2019: 9935-9936 - [c26]Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai:
Learning Document Embeddings with Crossword Prediction. AAAI 2019: 9993-9994 - [c25]Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen:
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge. ACL (1) 2019: 4377-4386 - [c24]Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei:
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. CIKM 2019: 719-728 - [c23]Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen:
Knowledge-aware Textual Entailment with Graph Attention Network. CIKM 2019: 2145-2148 - [c22]Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang:
Cross-modal Image-Text Retrieval with Multitask Learning. CIKM 2019: 2309-2312 - [c21]Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. IJCAI 2019: 5349-5355 - [c20]Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen:
Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. KSEM (2) 2019: 313-325 - [c19]Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang:
Path-based Attribute-aware Representation Learning for Relation Prediction. SDM 2019: 639-647 - [c18]Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen:
Answer-enhanced Path-aware Relation Detection over Knowledge Base. SIGIR 2019: 1021-1024 - 2018
- [c17]Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei:
Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. BIBM 2018: 757-800 - [c16]Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao:
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. CIKM 2018: 1531-1534 - [c15]Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen:
Cooperative Denoising for Distantly Supervised Relation Extraction. COLING 2018: 426-436 - [c14]Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu:
Aspect and Sentiment Aware Abstractive Review Summarization. COLING 2018: 1110-1120 - [c13]Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. COLING 2018: 3295-3305 - [c12]Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei:
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. ICDM Workshops 2018: 1417-1422 - [c11]Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei:
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. ICISA 2018: 401-411 - [c10]Kai Lei, Jiyue Huang, Shangchun Si, Ying Shen:
Semantic Similarity Measures to Disambiguate Terms in Medical Text. ICONIP (7) 2018: 398-409 - [c9]Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen:
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. KSEM (1) 2018: 479-490 - [c8]Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei:
Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR 2018: 881-884 - [c7]Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. SIGIR 2018: 901-904 - 2017
- [c6]Joël Colloc, Relwendé Aristide Yameogo, Peter F. Summons, Ying Shen, Mira Park, Janine E. Aronson:
EPICE an emotion fuzzy vectorial space for time modeling in medical decision. IML 2017: 29:1-29:7 - [c5]Kai Lei, Yang Deng, Bing Zhang, Ying Shen:
Open Domain Question Answering with Character-Level Deep Learning Models. ISCID (2) 2017: 30-33 - [c4]Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. SmartCom 2017: 181-190 - [c3]Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. SmartCom 2017: 268-277 - [c2]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. SmartCom 2017: 278-288 - [c1]Desi Wen, Yong Liu, Kaiqi Yuan, Shangchun Si, Ying Shen:
Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph. SmartCom 2017: 321-331
Informal and Other Publications
- 2024
- [i31]Peng Xing, Yinghui Li, Shirong Ma, Xinnian Liang, Haojing Huang, Yangning Li, Hai-Tao Zheng, Wenhao Jiang, Ying Shen:
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework. CoRR abs/2402.11422 (2024) - [i30]Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu, Ying Shen:
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems. CoRR abs/2402.18013 (2024) - [i29]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR abs/2404.02505 (2024) - 2023
- [i28]Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen:
Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR abs/2305.10736 (2023) - [i27]Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen:
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. CoRR abs/2305.10819 (2023) - [i26]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i25]Shirong Ma, Yinghui Li, Haojing Huang, Shulin Huang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Progressive Multi-task Learning Framework for Chinese Text Error Correction. CoRR abs/2306.17447 (2023) - [i24]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. CoRR abs/2311.06805 (2023) - [i23]Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen:
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. CoRR abs/2311.11268 (2023) - 2022
- [i22]Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. CoRR abs/2204.07789 (2022) - [i21]Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen:
Automatic Context Pattern Generation for Entity Set Expansion. CoRR abs/2207.08087 (2022) - [i20]Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Yangning Li, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen:
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. CoRR abs/2210.10442 (2022) - [i19]Shulin Huang, Shirong Ma, Yinghui Li, Yangning Li, Shiyang Lin, Hai-Tao Zheng, Ying Shen:
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation. CoRR abs/2210.16557 (2022) - [i18]Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen, Hong-Gee Kim:
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction. CoRR abs/2211.04215 (2022) - [i17]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR abs/2212.05789 (2022) - 2021
- [i16]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR abs/2101.08106 (2021) - [i15]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. CoRR abs/2103.11647 (2021) - [i14]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR abs/2104.05216 (2021) - [i13]Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang:
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. CoRR abs/2107.08173 (2021) - [i12]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR abs/2110.08551 (2021) - [i11]Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. CoRR abs/2112.11739 (2021) - 2020
- [i10]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR abs/2004.09930 (2020) - 2019
- [i9]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR abs/1911.09801 (2019) - 2018
- [i8]Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei:
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. CoRR abs/1809.10404 (2018) - [i7]Kai Lei, Shangchun Si, Desi Wen, Ying Shen:
An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training. CoRR abs/1812.01879 (2018) - [i6]Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen:
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. CoRR abs/1812.01884 (2018) - [i5]Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei:
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. CoRR abs/1812.01885 (2018) - [i4]Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. CoRR abs/1812.01887 (2018) - [i3]Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. CoRR abs/1812.01889 (2018) - [i2]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. CoRR abs/1812.01891 (2018) - [i1]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR abs/1812.02354 (2018)
Coauthor Index
[j43] [j38] [j35] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j3] [j2] [c56] [c54] [c48] [c47] [c45] [c44] [c43] [c35] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c8] [c7] [i26] [i14] [i13] [i11] [i9] [i1]
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