Ying Shen

According to our database, Ying Shen authored at least 121 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Unified Framework for Contextual and Factoid Question Generation.

Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng

IEEE Trans. Knowl. Data Eng., January, 2024

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen

Artif. Intell. Medicine, January, 2024

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu, Ying Shen

CoRR, 2024

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework.

Peng Xing, Yinghui Li, Shirong Ma, Xinnian Liang, Haojing Huang, Yangning Li, Hai-Tao Zheng, Wenhao Jiang, Ying Shen

CoRR, 2024

2023

Automatic Context Pattern Generation for Entity Set Expansion.

Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen

IEEE Trans. Knowl. Data Eng., December, 2023

Active relation discovery: Towards general and label-aware open relation extraction.

Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen

Knowl. Based Syst., December, 2023

Knowledge-Based Reasoning Network for Relation Detection.

Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks.

Yilin Zhang, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng, Ying Shen, Lan Zhou

IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical dual graph convolutional network for aspect-based sentiment analysis.

Ting Zhou, Ying Shen, Kang Chen, Qing Cao

Knowl. Based Syst., 2023

A Survey of Natural Language Generation.

Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang

ACM Comput. Surv., 2023

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.

Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen

CoRR, 2023

Progressive Multi-task Learning Framework for Chinese Text Error Correction.

Shirong Ma, Yinghui Li, Haojing Huang, Shulin Huang, Yangning Li, Hai-Tao Zheng, Ying Shen

CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

CoRR, 2023

Counterfactual Debiasing for Generating Factually Consistent Text Summaries.

Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen

CoRR, 2023

Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding.

Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Graph Learning for Cross-Modal Retrieval.

Jingyou Xie, Zishuo Zhao, Zhenzhou Lin, Ying Shen

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Source-Free Unsupervised Domain Adaptation for Question Answering.

Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen

Proceedings of the IEEE International Conference on Acoustics, 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.

Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Tunable Soft Prompts are Messengers in Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

ACM Trans. Inf. Syst., 2022

A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction.

Ying Shen, Yilin Zhang, Kaiqi Yuan, Dagang Li, Hai-Tao Zheng

IEEE Trans. Big Data, 2022

Modeling path information for knowledge graph completion.

Ying Shen, Dagang Li, Du Nan

Neural Comput. Appl., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

CoRR, 2022

Active Relation Discovery: Towards General and Label-aware Open Relation Extraction.

Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen, Hong-Gee Kim

CoRR, 2022

Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation.

Shulin Huang, Shirong Ma, Yinghui Li, Yangning Li, Shiyang Lin, Hai-Tao Zheng, Ying Shen

CoRR, 2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion.

Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-perspective Graph Contrastive Learning.

Shiyang Lin, Chenhe Dong, Ying Shen

Proceedings of the Knowledge Science, Engineering and Management, 2022

Learning Purified Feature Representations from Task-irrelevant Labels.

Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen

Proceedings of the International Joint Conference on Neural Networks, 2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.

Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Yangning Li, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

An Effective Hybrid Learning Model for Real-Time Event Summarization.

Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.

Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.

Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei

IEEE Trans. Neural Networks Learn. Syst., 2021

Modeling Relation Paths for Knowledge Graph Completion.

Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang

IEEE Trans. Knowl. Data Eng., 2021

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.

Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen

IEEE Trans. Affect. Comput., 2021

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning.

Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian

Knowl. Based Syst., 2021

FM-ECG: A fine-grained multi-label framework for ECG image classification.

Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen

Inf. Sci., 2021

Practical fine-grained learning based anomaly classification for ECG image.

Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen

Artif. Intell. Medicine, 2021

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory.

Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition.

Dong Wang, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen

Proceedings of the International Joint Conference on Neural Networks, 2021

Prototypical Representation Learning for Relation Extraction.

Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Entity Collaborative Relation Extraction.

Haozhuang Liu, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen

Proceedings of the IEEE International Conference on Acoustics, 2021

Wasserstein Selective Transfer Learning for Cross-domain Text Mining.

Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression.

Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking.

Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning.

Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation.

Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.

Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li

IEEE Trans. Image Process., 2020

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.

Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen

IEEE Trans. Cybern., 2020

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.

Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen

IEEE Trans. Cybern., 2020

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.

Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu

Neural Networks, 2020

Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning.

Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu

Neural Comput. Appl., 2020

Path-based reasoning with constrained type attention for knowledge graph completion.

Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen

Neural Comput. Appl., 2020

Generative adversarial fusion network for class imbalance credit scoring.

Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen

Neural Comput. Appl., 2020

Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint.

Min Yang, Xintong Wang, Yao Lu, Jianming Lv, Ying Shen, Chengming Li

Inf. Sci., 2020

Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading.

Kai Lei, Bing Zhang, Yu Li, Min Yang, Ying Shen

Expert Syst. Appl., 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.

Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference.

Min Yang, Ying Shen, Xiaojun Chen, Chengming Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Triple-to-Text Generation with an Anchor-to-Prototype Framework.

Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Infobox-to-text Generation with Tree-like Planning based Attention Network.

Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Knowledge Enhanced Latent Relevance Mining for Question Answering.

Dong Wang, Ying Shen, Hai-Tao Zheng

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training.

Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Answer-driven Deep Question Generation based on Reinforcement Learning.

Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Integrating User History into Heterogeneous Graph for Dialogue Act Recognition.

Dong Wang, Ziran Li, Haitao Zheng, Ying Shen

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition.

Dongming Sheng, Dong Wang, Ying Shen, Haitao Zheng, Haozhuang Liu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Adaptive Embedding Framework for Heterogeneous Information Networks.

Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation.

Yang Deng, Dagang Li, Qiang Zhang, Ying Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Decision Support System for Acupuncture Treatment of Ischemic Stroke.

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents.

Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization.

Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.

Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Interactive Dual Generative Adversarial Networks for Image Captioning.

Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Integrating Linguistic Knowledge to Sentence Paraphrase Generation.

Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

MARES: multitask learning algorithm for Web-scale real-time event summarization.

Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen

World Wide Web, 2019

Investigating the transferring capability of capsule networks for text classification.

Min Yang, Wei Zhao, Lei Chen, Qiang Qu, Zhou Zhao, Ying Shen

Neural Networks, 2019

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.

Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou

Neural Networks, 2019

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.

Ying Shen, Kaiqi Yuan, Jingchao Dai, Buzhou Tang, Min Yang, Kai Lei

J. Medical Syst., 2019

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.

Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei

J. Cheminformatics, 2019

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.

Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu

Inf. Sci., 2019

An in-depth study of similarity predicate committee.

Jia Zhu, Gabriel Pui Cheong Fung, Zeyang Lei, Min Yang, Ying Shen

Inf. Process. Manag., 2019

Contextual-boosted deep neural collaborative filtering model for interpretable recommendation.

Shuai Yu, Min Yang, Qiang Qu, Ying Shen

Expert Syst. Appl., 2019

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang

BMC Bioinform., 2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.

Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Path-based Attribute-aware Representation Learning for Relation Prediction.

Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Feature-Aware Attentive Convolutional Neural Network for Sequence Processing.

Jingchao Dai, Kaiqi Yuan, Yuexiang Xie, Ying Shen

Proceedings of the Knowledge Science, Engineering and Management, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.

Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-modal Image-Text Retrieval with Multitask Learning.

Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.

Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.

Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge.

Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Human-Like Reading Strategy for Abstractive Text Summarization.

Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Document Embeddings with Crossword Prediction.

Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset.

Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.

Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei

J. Biomed. Informatics, 2018

Feature-enhanced attention network for target-dependent sentiment classification.

Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei

Neurocomputing, 2018

An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training.

Kai Lei, Shangchun Si, Desi Wen, Ying Shen

CoRR, 2018

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.

Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei

CoRR, 2018

An event summarizing algorithm based on the timeline relevance model in Sina Weibo.

Kai Lei, Lizhu Zhang, Ying Liu, Ying Shen, Chenwei Liu, Qian Yu, WeiTao Weng

Sci. China Inf. Sci., 2018

EAPB: entropy-aware path-based metric for ontology quality.

Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei

J. Biomed. Semant., 2018

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei

Artif. Intell. Medicine, 2018

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.

Ying Shen, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, Kai Lei

IEEE Access, 2018

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach.

Kai Lei, Ying Liu, Shangru Zhong, Yongbin Liu, Kuai Xu, Ying Shen, Min Yang

IEEE Access, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.

Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.

Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs.

Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen

Proceedings of the Knowledge Science, Engineering and Management, 2018

Semantic Similarity Measures to Disambiguate Terms in Medical Text.

Kai Lei, Jiyue Huang, Shangchun Si, Ying Shen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding.

Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei

Proceedings of the Information Science and Applications 2018, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.

Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Aspect and Sentiment Aware Abstractive Review Summarization.

Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.

Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.

Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization.

Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.

Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph.

Desi Wen, Yong Liu, Kaiqi Yuan, Shangchun Si, Ying Shen

Proceedings of the Smart Computing and Communication, 2017

Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking.

Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu

Proceedings of the Smart Computing and Communication, 2017

Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning.

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu

Proceedings of the Smart Computing and Communication, 2017

A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions.

Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen

Proceedings of the Smart Computing and Communication, 2017

Open Domain Question Answering with Character-Level Deep Learning Models.

Kai Lei, Yang Deng, Bing Zhang, Ying Shen

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

EPICE an emotion fuzzy vectorial space for time modeling in medical decision.

Joël Colloc, Relwendé Aristide Yameogo, Peter F. Summons, Ying Shen, Mira Park, Janine E. Aronson

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2015

Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Kai Lei

J. Biomed. Informatics, 2015