Ying Shen

Orcid: 0000-0002-3220-904X

Affiliations:
  • Sun Yat-Sen University, School of Intelligent Systens Engineering, China
  • Peking University, School of Electronics and Computer Engineering, China (2017 - 2020)
  • Paris Nanterre University, France (PhD)


According to our database1, Ying Shen authored at least 142 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
ACM Comput. Surv., November, 2024

Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Improving Semi-Supervised Text Classification with Dual Meta-Learning.
ACM Trans. Inf. Syst., July, 2024

A Unified Framework for Contextual and Factoid Question Generation.
IEEE Trans. Knowl. Data Eng., January, 2024

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.
Artif. Intell. Medicine, January, 2024

CEPTNER: Contrastive learning Enhanced Prototypical network for Two-stage few-shot Named Entity Recognition.
Knowl. Based Syst., 2024

Multi-label text classification based on semantic-sensitive graph convolutional network.
Knowl. Based Syst., 2024

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models.
CoRR, 2024

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models.
CoRR, 2024

CLEME2.0: Towards More Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction.
CoRR, 2024

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.
CoRR, 2024

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework.
CoRR, 2024

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study.
CoRR, 2024

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Explore the Textual Perception Ability on the Images for Multimodal Large Language Models.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MSIF: Multi-source Information Fusion for Financial Question Answering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Automatic Context Pattern Generation for Entity Set Expansion.
IEEE Trans. Knowl. Data Eng., December, 2023

Active relation discovery: Towards general and label-aware open relation extraction.
Knowl. Based Syst., December, 2023

Knowledge-Based Reasoning Network for Relation Detection.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical dual graph convolutional network for aspect-based sentiment analysis.
Knowl. Based Syst., 2023

A Survey of Natural Language Generation.
ACM Comput. Surv., 2023

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
CoRR, 2023

Progressive Multi-task Learning Framework for Chinese Text Error Correction.
CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023

Counterfactual Debiasing for Generating Factually Consistent Text Summaries.
CoRR, 2023

Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Graph Learning for Cross-Modal Retrieval.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Source-Free Unsupervised Domain Adaptation for Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unifying Text, Tables, and Images for Multimodal Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Tunable Soft Prompts are Messengers in Federated Learning.
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.
ACM Trans. Inf. Syst., 2022

A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction.
IEEE Trans. Big Data, 2022

Modeling path information for knowledge graph completion.
Neural Comput. Appl., 2022

ANGraph: attribute-interactive neighborhood-aggregative graph representation learning.
Neural Comput. Appl., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.
CoRR, 2022

Active Relation Discovery: Towards General and Label-aware Open Relation Extraction.
CoRR, 2022

Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation.
CoRR, 2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Learning Purified Feature Representations from Task-irrelevant Labels.
Proceedings of the International Joint Conference on Neural Networks, 2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
An Effective Hybrid Learning Model for Real-Time Event Summarization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.
IEEE Trans. Neural Networks Learn. Syst., 2021

Modeling Relation Paths for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., 2021

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.
IEEE Trans. Affect. Comput., 2021

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning.
Knowl. Based Syst., 2021

FM-ECG: A fine-grained multi-label framework for ECG image classification.
Inf. Sci., 2021

Forecasting Stock Index Using a Volume-Aware Positional Attention-Based Recurrent Neural Network.
Int. J. Softw. Eng. Knowl. Eng., 2021

Practical fine-grained learning based anomaly classification for ECG image.
Artif. Intell. Medicine, 2021

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory.
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.
Proceedings of the International Joint Conference on Neural Networks, 2021

Prototypical Representation Learning for Relation Extraction.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Entity Collaborative Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2021

Wasserstein Selective Transfer Learning for Cross-domain Text Mining.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression.
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.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation.
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.
IEEE Trans. Image Process., 2020

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.
IEEE Trans. Cybern., 2020

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.
IEEE Trans. Cybern., 2020

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.
Neural Networks, 2020

Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning.
Neural Comput. Appl., 2020

Path-based reasoning with constrained type attention for knowledge graph completion.
Neural Comput. Appl., 2020

Generative adversarial fusion network for class imbalance credit scoring.
Neural Comput. Appl., 2020

Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint.
Inf. Sci., 2020

Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading.
Expert Syst. Appl., 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.
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.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Infobox-to-text Generation with Tree-like Planning based Attention Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Knowledge Enhanced Latent Relevance Mining for Question Answering.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Answer-driven Deep Question Generation based on Reinforcement Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Integrating User History into Heterogeneous Graph for Dialogue Act Recognition.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Adaptive Embedding Framework for Heterogeneous Information Networks.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Decision Support System for Acupuncture Treatment of Ischemic Stroke.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Interactive Dual Generative Adversarial Networks for Image Captioning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Integrating Linguistic Knowledge to Sentence Paraphrase Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MARES: multitask learning algorithm for Web-scale real-time event summarization.
World Wide Web, 2019

Investigating the transferring capability of capsule networks for text classification.
Neural Networks, 2019

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.
Neural Networks, 2019

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.
J. Medical Syst., 2019

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics, 2019

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.
Inf. Sci., 2019

An in-depth study of similarity predicate committee.
Inf. Process. Manag., 2019

Contextual-boosted deep neural collaborative filtering model for interpretable recommendation.
Expert Syst. Appl., 2019

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.
BMC Bioinform., 2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.
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.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Feature-Aware Attentive Convolutional Neural Network for Sequence Processing.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-modal Image-Text Retrieval with Multitask Learning.
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.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models.
Proceedings of the AMIA 2019, 2019

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Human-Like Reading Strategy for Abstractive Text Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Document Embeddings with Crossword Prediction.
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.
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.
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.
J. Biomed. Informatics, 2018

Feature-enhanced attention network for target-dependent sentiment classification.
Neurocomputing, 2018

An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training.
CoRR, 2018

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR, 2018

An event summarizing algorithm based on the timeline relevance model in Sina Weibo.
Sci. China Inf. Sci., 2018

EAPB: entropy-aware path-based metric for ontology quality.
J. Biomed. Semant., 2018

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.
Artif. Intell. Medicine, 2018

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.
IEEE Access, 2018

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach.
IEEE Access, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Semantic Similarity Measures to Disambiguate Terms in Medical Text.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding.
Proceedings of the Information Science and Applications 2018, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Aspect and Sentiment Aware Abstractive Review Summarization.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph.
Proceedings of the Smart Computing and Communication, 2017

Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking.
Proceedings of the Smart Computing and Communication, 2017

Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning.
Proceedings of the Smart Computing and Communication, 2017

A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions.
Proceedings of the Smart Computing and Communication, 2017

Open Domain Question Answering with Character-Level Deep Learning Models.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

EPICE an emotion fuzzy vectorial space for time modeling in medical decision.
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.
J. Biomed. Informatics, 2015


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