Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system. - Ying Shen 001; Joël Colloc; Armelle Jacquet-Andrieu; Kai Lei (J. Biomed. Informatics, 2015)

EPICE an emotion fuzzy vectorial space for time modeling in medical decision. - Joël Colloc; Relwendé Aristide Yameogo; Peter F. Summons; Ying Shen 001; Mira Park 001; Janine E. Aronson (IML, 2017)

Open Domain Question Answering with Character-Level Deep Learning Models. - Kai Lei; Yang Deng 002; Bing Zhang; Ying Shen 001 (ISCID (2), 2017)

A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. - Kai Lei; Bing Zhang; Yong Liu 007; Yang Deng 002; Dongyu Zhang; Ying Shen 001 (SmartCom, 2017)

Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. - Ying Shen 001; Joël Colloc; Armelle Jacquet-Andrieu; Ziyi Guo; Yong Liu 007 (SmartCom, 2017)

Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. - Ying Shen 001; Yang Deng 002; Kaiqi Yuan; Li Liu; Yong Liu 007 (SmartCom, 2017)

Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph. - Desi Wen; Yong Liu 007; Kaiqi Yuan; Shangchun Si; Ying Shen 001 (SmartCom, 2017)

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. - Ying Shen 001; Kaiqi Yuan; Yaliang Li; Buzhou Tang; Min Yang 007; Nan Du 001; Kai Lei (BIBM, 2018)

Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. - Min Yang 007; Qiang Qu; Jia Zhu 003; Ying Shen 001; Zhou Zhao 001 (CIKM, 2018)

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. - Yang Deng 002; Ying Shen 001; Min Yang 007; Yaliang Li; Nan Du 001; Wei Fan 001; Kai Lei (COLING, 2018)

Cooperative Denoising for Distantly Supervised Relation Extraction. - Kai Lei; Daoyuan Chen; Yaliang Li; Nan Du 001; Min Yang 007; Wei Fan 001; Ying Shen 001 (COLING, 2018)

Aspect and Sentiment Aware Abstractive Review Summarization. - Min Yang 007; Qiang Qu; Ying Shen 001; Qiao Liu 003; Wei Zhao 033; Jia Zhu 003 (COLING, 2018)

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. - Ying Shen 001; Yang Deng 002; Jin Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Min Yang 007; Kai Lei (ICDM Workshops, 2018)

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. - Ying Shen 001; Qiang Zhang 015; Jin Zhang; Jiyue Huang; Yuming Lu; Kai Lei (ICISA, 2018)

Semantic Similarity Measures to Disambiguate Terms in Medical Text. - Kai Lei; Jiyue Huang; Shangchun Si; Ying Shen 001 (ICONIP (7), 2018)

MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. - Kai Lei; Kaiqi Yuan; Qiang Zhang 015; Ying Shen 001 (KSEM (1), 2018)

Ontology Evaluation with Path-based Text-aware Entropy Computation. - Ying Shen 001; Daoyuan Chen; Min Yang 007; Yaliang Li; Nan Du 001; Kai Lei (SIGIR, 2018)

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. - Ying Shen 001; Yang Deng 002; Min Yang 007; Yaliang Li; Nan Du 001; Wei Fan 001; Kai Lei (SIGIR, 2018)

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach. - Kai Lei; Ying Liu 021; Shangru Zhong; Yongbin Liu; Kuai Xu; Ying Shen 001; Min Yang 007 (IEEE Access, 2018)

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. - Ying Shen 001; Yaliang Li; Yang Deng 002; Jin Zhang; Min Yang 007; Jinsong Chen; Shangchun Si; Kai Lei (IEEE Access, 2018)

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. - Ying Shen 001; Kaiqi Yuan; Daoyuan Chen; Joël Colloc; Min Yang 007; Yaliang Li; Kai Lei (Artif. Intell. Medicine, 2018)

EAPB: entropy-aware path-based metric for ontology quality. - Ying Shen 001; Daoyuan Chen; Buzhou Tang; Min Yang 007; Kai Lei (J. Biomed. Semant., 2018)

An event summarizing algorithm based on the timeline relevance model in Sina Weibo. - Kai Lei; Lizhu Zhang; Ying Liu 021; Ying Shen 001; Chenwei Liu; Qian Yu; WeiTao Weng (Sci. China Inf. Sci., 2018)

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. - Yang Deng 002; Yaliang Li; Nan Du 001; Wei Fan 001; Ying Shen 001; Kai Lei (CoRR, 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 001 (CoRR, 2018)

Feature-enhanced attention network for target-dependent sentiment classification. - Min Yang 007; Qiang Qu; Xiaojun Chen 006; Chaoxue Guo; Ying Shen 001; Kai Lei (Neurocomputing, 2018)

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. - Ying Shen 001; Lizhu Zhang; Jin Zhang; Min Yang 007; Buzhou Tang; Yaliang Li; Kai Lei (J. Biomed. Informatics, 2018)

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Nan Du 001; Wei Fan 001; Kai Lei; Ying Shen 001 (AAAI, 2019)

A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset. - Wenyu Du; Baocheng Li; Min Yang 007; Qiang Qu; Ying Shen 001 (AAAI, 2019)

Learning Document Embeddings with Crossword Prediction. - Junyu Luo 001; Min Yang 007; Ying Shen 001; Qiang Qu; Haixia Chai (AAAI, 2019)

Exploring Human-Like Reading Strategy for Abstractive Text Summarization. - Min Yang 007; Qiang Qu; Wenting Tu; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006 (AAAI, 2019)

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge. - Ziran Li; Ning Ding 002; Zhiyuan Liu 001; Haitao Zheng 002; Ying Shen 001 (ACL (1), 2019)

De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models. - Buzhou Tang; Dehuan Jiang; Qingcai Chen; Xiaolong Wang 001; Jun Yan 010; Ying Shen 001 (AMIA, 2019)

Knowledge-aware Textual Entailment with Graph Attention Network. - Daoyuan Chen; Yaliang Li; Min Yang 007; Hai-Tao Zheng 002; Ying Shen 001 (CIKM, 2019)

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. - Yang Deng 002; Yaliang Li; Ying Shen 001; Nan Du 001; Wei Fan 001; Min Yang 007; Kai Lei (CIKM, 2019)

Cross-modal Image-Text Retrieval with Multitask Learning. - Junyu Luo 001; Ying Shen 001; Xiang Ao 001; Zhou Zhao 001; Min Yang 007 (CIKM, 2019)

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. - Min Yang 007; Lei Chen 072; Xiaojun Chen 006; Qingyao Wu; Wei Zhou 028; Ying Shen 001 (IJCAI, 2019)

Feature-Aware Attentive Convolutional Neural Network for Sequence Processing. - Jingchao Dai; Kaiqi Yuan; Yuexiang Xie; Ying Shen 001 (KSEM (2), 2019)

Path-based Attribute-aware Representation Learning for Relation Prediction. - Ying Shen 001; Desi Wen; Yaliang Li; Nan Du 001; Haitao Zheng 002; Min Yang 007 (SDM, 2019)

Answer-enhanced Path-aware Relation Detection over Knowledge Base. - Daoyuan Chen; Min Yang 007; Hai-Tao Zheng 002; Yaliang Li; Ying Shen 001 (SIGIR, 2019)

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. - Ying Shen 001; Yaliang Li; Hai-Tao Zheng 002; Buzhou Tang; Min Yang 007 (BMC Bioinform., 2019)

Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. - Shuai Yu 002; Min Yang 007; Qiang Qu; Ying Shen 001 (Expert Syst. Appl., 2019)

An in-depth study of similarity predicate committee. - Jia Zhu 003; Gabriel Pui Cheong Fung; Zeyang Lei; Min Yang 007; Ying Shen 001 (Inf. Process. Manag., 2019)

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. - Min Yang 007; Qiang Qu; Xiaojun Chen 006; Wenting Tu; Ying Shen 001; Jia Zhu 003 (Inf. Sci., 2019)

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. - Ying Shen 001; Kaiqi Yuan; Min Yang 007; Buzhou Tang; Yaliang Li; Nan Du 001; Kai Lei (J. Cheminformatics, 2019)

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. - Ying Shen 001; Kaiqi Yuan; Jingchao Dai; Buzhou Tang; Min Yang 007; Kai Lei (J. Medical Syst., 2019)

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. - Min Yang 007; Qingnan Jiang; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Wei Zhou 028 (Neural Networks, 2019)

Investigating the transferring capability of capsule networks for text classification. - Min Yang 007; Wei Zhao 033; Lei Chen 072; Qiang Qu; Zhou Zhao 001; Ying Shen 001 (Neural Networks, 2019)

MARES: multitask learning algorithm for Web-scale real-time event summarization. - Min Yang 007; Wenting Tu; Qiang Qu; Kai Lei; Xiaojun Chen 006; Jia Zhu 003; Ying Shen 001 (World Wide Web, 2019)

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. - Yang Deng 002; Wai Lam; Yuexiang Xie; Daoyuan Chen; Yaliang Li; Min Yang 007; Ying Shen 001 (AAAI, 2020)

Integrating Linguistic Knowledge to Sentence Paraphrase Generation. - Zibo Lin; Ziran Li; Ning Ding 002; Haitao Zheng 002; Ying Shen 001; Wei Wang 138; Cong-Zhi Zhao (AAAI, 2020)

Interactive Dual Generative Adversarial Networks for Image Captioning. - Junhao Liu 001; Kai Wang 036; Chunpu Xu; Zhou Zhao 001; Ruifeng Xu 001; Ying Shen 001; Min Yang 007 (AAAI, 2020)

Attentive User-Engaged Adversarial Neural Network for Community Question Answering. - Yuexiang Xie; Ying Shen 001; Yaliang Li; Min Yang 007; Kai Lei (AAAI, 2020)

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. - Min Yang 007; Chengming Li; Fei Sun 001; Zhou Zhao 001; Ying Shen 001; Chenglin Wu (AAAI, 2020)

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. - Daoyuan Chen; Yaliang Li; Kai Lei; Ying Shen 001 (ACL, 2020)

Decision Support System for Acupuncture Treatment of Ischemic Stroke. - Ying Shen 001; Joël Colloc; Armelle Jacquet-Andrieu (ADMA, 2020)

Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. - Yang Deng 002; Dagang Li 001; Qiang Zhang 015; Ying Shen 001 (BIBM, 2020)

An Adaptive Embedding Framework for Heterogeneous Information Networks. - Daoyuan Chen; Yaliang Li; Bolin Ding; Ying Shen 001 (CIKM, 2020)

Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition. - Dongming Sheng; Dong Wang; Ying Shen 001; Haitao Zheng 002; Haozhuang Liu (COLING, 2020)

Integrating User History into Heterogeneous Graph for Dialogue Act Recognition. - Dong Wang; Ziran Li; Haitao Zheng 002; Ying Shen 001 (COLING, 2020)

Answer-driven Deep Question Generation based on Reinforcement Learning. - Liuyin Wang; Zihan Xu; Zibo Lin; Haitao Zheng 002; Ying Shen 001 (COLING, 2020)

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. - Wanwei He; Min Yang 007; Rui Yan 001; Chengming Li; Ying Shen 001; Ruifeng Xu 001 (EMNLP (1), 2020)

Knowledge Enhanced Latent Relevance Mining for Question Answering. - Dong Wang; Ying Shen 001; Hai-Tao Zheng 002 (ICASSP, 2020)

Infobox-to-text Generation with Tree-like Planning based Attention Network. - Yang Bai; Ziran Li; Ning Ding 002; Ying Shen 001; Hai-Tao Zheng 002 (IJCAI, 2020)

Triple-to-Text Generation with an Anchor-to-Prototype Framework. - Ziran Li; Zibo Lin; Ning Ding 002; Hai-Tao Zheng 002; Ying Shen 001 (IJCAI, 2020)

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. - Min Yang 007; Ying Shen 001; Xiaojun Chen 006; Chengming Li (SIGIR, 2020)

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. - Yang Deng 002; Wenxuan Zhang 001; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (SIGIR, 2020)

Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading. - Kai Lei; Bing Zhang; Yu Li; Min Yang 007; Ying Shen 001 (Expert Syst. Appl., 2020)

Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint. - Min Yang 007; Xintong Wang 001; Yao Lu; Jianming Lv; Ying Shen 001; Chengming Li (Inf. Sci., 2020)

Generative adversarial fusion network for class imbalance credit scoring. - Kai Lei; Yuexiang Xie; Shangru Zhong; Jingchao Dai; Min Yang 007; Ying Shen 001 (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 007; Ying Shen 001 (Neural Comput. Appl., 2020)

Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. - Min Yang 007; Qiang Qu; Ying Shen 001; Kai Lei; Jia Zhu 003 (Neural Comput. Appl., 2020)

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. - Min Yang 007; Lei Chen 072; Ziyu Lyu; Junhao Liu 001; Ying Shen 001; Qingyao Wu (Neural Networks, 2020)

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. - Min Yang 007; Junhao Liu 001; Lei Chen 072; Zhou Zhao 001; Xiaojun Chen 006; Ying Shen 001 (IEEE Trans. Cybern., 2020)

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. - Wei Zhao 033; Benyou Wang; Min Yang 007; Jianbo Ye; Zhou Zhao 001; Xiaojun Chen 006; Ying Shen 001 (IEEE Trans. Cybern., 2020)

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. - Min Yang 007; Junhao Liu 001; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006; Qingyao Wu; Chengming Li (IEEE Trans. Image Process., 2020)

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. - Lingyun Feng; Minghui Qiu; Yaliang Li; Hai-Tao Zheng 002; Ying Shen 001 (AAAI, 2021)

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. - Chunpu Xu; Min Yang 007; Chengming Li; Ying Shen 001; Xiang Ao 001; Ruifeng Xu 001 (AAAI, 2021)

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. - Binzong Geng; Fajie Yuan; Qiancheng Xu; Ying Shen 001; Ruifeng Xu 001; Min Yang 007 (ACL/IJCNLP (2), 2021)

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. - Chenhe Dong; Yaliang Li; Ying Shen 001; Minghui Qiu (EMNLP (1), 2021)

Wasserstein Selective Transfer Learning for Cross-domain Text Mining. - Lingyun Feng; Minghui Qiu; Yaliang Li; Haitao Zheng 002; Ying Shen 001 (EMNLP (1), 2021)

Multi-Entity Collaborative Relation Extraction. - Haozhuang Liu; Ziran Li; Dongming Sheng; Hai-Tao Zheng 002; Ying Shen 001 (ICASSP, 2021)

Prototypical Representation Learning for Relation Extraction. - Ning Ding 002; Xiaobin Wang; Yao Fu; Guangwei Xu; Rui Wang 005; Pengjun Xie; Ying Shen 001; Fei Huang 002; Haitao Zheng 002; Rui Zhang 003 (ICLR, 2021)

Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition. - Dong Wang; Ziran Li; Dongming Sheng; Hai-Tao Zheng 002; Ying Shen 001 (IJCNN, 2021)

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. - Lihan Wang; Min Yang 007; Chengming Li; Ying Shen 001; Ruifeng Xu 001 (SIGIR, 2021)

Practical fine-grained learning based anomaly classification for ECG image. - Qing Cao; Nan Du 001; Li Yu; Ming Zuo; Jingsheng Lin; Nathan Liu; Erheng Zhong; Zizhu Liu; Qiaoran Chen; Ying Shen 001; Kang Chen (Artif. Intell. Medicine, 2021)

Forecasting Stock Index Using a Volume-Aware Positional Attention-Based Recurrent Neural Network. - Xinpeng Yu; Dagang Li 001; Ying Shen 001 (Int. J. Softw. Eng. Knowl. Eng., 2021)

FM-ECG: A fine-grained multi-label framework for ECG image classification. - Nan Du 001; Qing Cao; Li Yu; Nathan Liu; Erheng Zhong; Zizhu Liu; Ying Shen 001; Kang Chen (Inf. Sci., 2021)

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. - Chunpu Xu; Min Yang 007; Xiang Ao 001; Ying Shen 001; Ruifeng Xu 001; Jinwen Tian (Knowl. Based Syst., 2021)

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. - Min Yang 007; Wenpeng Yin 001; Qiang Qu; Wenting Tu; Ying Shen 001; Xiaojun Chen 006 (IEEE Trans. Affect. Comput., 2021)

Modeling Relation Paths for Knowledge Graph Completion. - Ying Shen 001; Ning Ding 002; Hai-Tao Zheng 002; Yaliang Li; Min Yang 007 (IEEE Trans. Knowl. Data Eng., 2021)

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. - Min Yang 007; Weiyi Huang; Wenting Tu; Qiang Qu; Ying Shen 001; Kai Lei (IEEE Trans. Neural Networks Learn. Syst., 2021)

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. - Min Yang 007; Chengming Li; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Xiaojun Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Effective Hybrid Learning Model for Real-Time Event Summarization. - Min Yang 007; Qiang Qu; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006; Chengming Li (IEEE Trans. Neural Networks Learn. Syst., 2021)

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 002; Ying Shen 001 (EMNLP (Findings), 2022)

Learning Purified Feature Representations from Task-irrelevant Labels. - Yinghui Li; Chen Wang 049; Yangning Li; Hai-Tao Zheng 002; Ying Shen 001 (IJCNN, 2022)

Cross-perspective Graph Contrastive Learning. - Shiyang Lin; Chenhe Dong; Ying Shen 001 (KSEM (1), 2022)

Contrastive Learning with Hard Negative Entities for Entity Set Expansion. - Yinghui Li; Yangning Li; Yuxin He; Tianyu Yu 002; Ying Shen 001; Hai-Tao Zheng 002 (SIGIR, 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 002; Ying Shen 001 (CoRR, 2022)

Active Relation Discovery: Towards General and Label-aware Open Relation Extraction. - Yangning Li; Yinghui Li; Xi Chen 003; Hai-Tao Zheng 002; Ying Shen 001; Hong-Gee Kim (CoRR, 2022)

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (CoRR, 2022)

ANGraph: attribute-interactive neighborhood-aggregative graph representation learning. - Ying Shen 001; Huizhi Li; Dagang Li 001; Jingwei Zheng; Wenmin Wang 001 (Neural Comput. Appl., 2022)

Modeling path information for knowledge graph completion. - Ying Shen 001; Dagang Li 001; Nan Du 001 (Neural Comput. Appl., 2022)

A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. - Ying Shen 001; Yilin Zhang; Kaiqi Yuan; Dagang Li 001; Hai-Tao Zheng 002 (IEEE Trans. Big Data, 2022)

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (ACM Trans. Inf. Syst., 2022)

Tunable Soft Prompts are Messengers in Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (EMNLP (Findings), 2023)

Unifying Text, Tables, and Images for Multimodal Question Answering. - Haohao Luo; Ying Shen 001; Yang Deng 002 (EMNLP (Findings), 2023)

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. - Jingheng Ye; Yinghui Li; Qingyu Zhou; Yangning Li; Shirong Ma; Hai-Tao Zheng 002; Ying Shen 001 (EMNLP, 2023)

Source-Free Unsupervised Domain Adaptation for Question Answering. - Zishuo Zhao; Yuexiang Xie; Jingyou Xie; Zhenzhou Lin; Yaliang Li; Ying Shen 001 (ICASSP, 2023)

Multimodal Graph Learning for Cross-Modal Retrieval. - Jingyou Xie; Zishuo Zhao; Zhenzhou Lin; Ying Shen 001 (SDM, 2023)

Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. - Zhenzhou Lin; Zishuo Zhao; Jingyou Xie; Ying Shen 001 (SIGIR, 2023)

Counterfactual Debiasing for Generating Factually Consistent Text Summaries. - Chenhe Dong; Yuexiang Xie; Yaliang Li; Ying Shen 001 (CoRR, 2023)

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. - Xiaoyan Zhao 005; Yang Deng 002; Min Yang 007; Lingzhi Wang 001; Rui Zhang 003; Hong Cheng 001; Wai Lam; Ying Shen 001; Ruifeng Xu 001 (CoRR, 2023)

Progressive Multi-task Learning Framework for Chinese Text Error Correction. - Shirong Ma; Yinghui Li; Haojing Huang 001; Shulin Huang; Yangning Li; Hai-Tao Zheng 002; Ying Shen 001 (CoRR, 2023)

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. - Yinghui Li; Zishan Xu; Shaoshen Chen; Haojing Huang 001; Yangning Li; Yong Jiang 001; Zhongli Li; Qingyu Zhou; Hai-Tao Zheng 002; Ying Shen 001 (CoRR, 2023)

A Survey of Natural Language Generation. - Chenhe Dong; Yinghui Li; Haifan Gong; Miaoxin Chen; Junxin Li; Ying Shen 001; Min Yang 007 (ACM Comput. Surv., 2023)

Hierarchical dual graph convolutional network for aspect-based sentiment analysis. - Ting Zhou; Ying Shen 001; Kang Chen; Qing Cao (Knowl. Based Syst., 2023)

Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks. - Yilin Zhang; Ziran Li; Zhiyuan Liu 001; Hai-Tao Zheng 002; Ying Shen 001; Lan Zhou (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge-Based Reasoning Network for Relation Detection. - Ying Shen 001; Min Yang 007; Yaliang Li; Dong Wang; Hai-Tao Zheng 002; Daoyuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Active relation discovery: Towards general and label-aware open relation extraction. - Yangning Li; Yinghui Li; Xi Chen 003; Hai-Tao Zheng 002; Ying Shen 001 (Knowl. Based Syst., 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 002; Ying Shen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. - Yinghui Li; Zishan Xu; Shaoshen Chen; Haojing Huang 001; Yangning Li; Shirong Ma; Yong Jiang 001; Zhongli Li; Qingyu Zhou; Hai-Tao Zheng 002; Ying Shen 001 (ACL (1), 2024)

Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. - Haohao Luo; Yang Deng 002; Ying Shen 001; See-Kiong Ng; Tat-Seng Chua (ACL (1), 2024)

Multimodal Instruction Tuning with Conditional Mixture of LoRA. - Ying Shen 001; Zhiyang Xu; Qifan Wang 001; Yu Cheng; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. - Mengsha Liu; Daoyuan Chen; Yaliang Li; Guian Fang; Ying Shen 001 (LREC/COLING, 2024)

Source-free Domain Adaptation for Aspect-based Sentiment Analysis. - Zishuo Zhao; Ziyang Ma 003; Zhenzhou Lin; Jingyou Xie; Yinghui Li; Ying Shen 001 (LREC/COLING, 2024)

MSIF: Multi-source Information Fusion for Financial Question Answering. - Man Lin; De-Long Zeng; Jiarui Ouyang; Ying Shen 001 (ICANN (9), 2024)

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (KDD, 2024)

Explore the Textual Perception Ability on the Images for Multimodal Large Language Models. - Jiayi Kuang; Jiarui Ouyang; Ying Shen 001 (NLPCC (5), 2024)

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. - Zhe Xu 009; Daoyuan Chen; Jiayi Kuang; Zihao Yi; Yaliang Li; Ying Shen 001 (SIGIR, 2024)

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (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 001; Yangning Li; Hai-Tao Zheng 002; Wenhao Jiang; Ying Shen 001 (CoRR, 2024)

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems. - Zihao Yi; Jiarui Ouyang; Yuwen Liu; Tianhao Liao; Zhe Xu 009; Ying Shen 001 (CoRR, 2024)

CLEME2.0: Towards More Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. - Jingheng Ye; Zishan Xu; Yinghui Li; Xuxin Cheng; Linlin Song; Qingyu Zhou; Hai-Tao Zheng 002; Ying Shen 001; Xin Su (CoRR, 2024)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (CoRR, 2024)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (CoRR, 2024)

FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval. - Jingyou Xie; Jiayi Kuang; Zhenzhou Lin; Jiarui Ouyang; Zishuo Zhao; Ying Shen 001 (CoRR, 2024)

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey. - Jiayi Kuang; Jingyou Xie; Haohao Luo; Ronghao Li; Zhe Xu 009; Xianfeng Cheng; Yinghui Li; Xika Lin; Ying Shen 001 (CoRR, 2024)

HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. - Ting Zhou; Daoyuan Chen; Qirui Jiao; Bolin Ding; Yaliang Li; Ying Shen 001 (CoRR, 2024)

Multi-label text classification based on semantic-sensitive graph convolutional network. - De-Long Zeng; Enze Zha; Jiayi Kuang; Ying Shen 001 (Knowl. Based Syst., 2024)

CEPTNER: Contrastive learning Enhanced Prototypical network for Two-stage few-shot Named Entity Recognition. - Enze Zha; De-Long Zeng; Man Lin; Ying Shen 001 (Knowl. Based Syst., 2024)

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. - Zizhu Liu; Qing Cao; Nan Du 001; Huizhen Shu; Erheng Zhong; Nan Jiang; Qiaoran Chen; Ying Shen 001; Kang Chen (Artif. Intell. Medicine, 2024)

A Unified Framework for Contextual and Factoid Question Generation. - Chenhe Dong; Ying Shen 001; Shiyang Lin; Zhenzhou Lin; Yang Deng 002 (IEEE Trans. Knowl. Data Eng., 2024)

Improving Semi-Supervised Text Classification with Dual Meta-Learning. - Shujie Li 001; Guanghu Yuan; Min Yang 007; Ying Shen 001; Chengming Li; Ruifeng Xu 001; Xiaoyan Zhao 005 (ACM Trans. Inf. Syst., 2024)

Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference. - Yang Deng 002; Wenxuan Zhang 001; Weiwen Xu; Ying Shen 001; Wai Lam (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. - Xiaoyan Zhao 005; Yang Deng 002; Min Yang 007; Lingzhi Wang 001; Rui Zhang 003; Hong Cheng 001; Wai Lam; Ying Shen 001; Ruifeng Xu 001 (ACM Comput. Surv., 2024)

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction. - Jingheng Ye; Shang Qin; Yinghui Li; Xuxin Cheng; Libo Qin 001; Hai-Tao Zheng 002; Ying Shen 001; Peng Xing; Zishan Xu; Guo Cheng; Wenhao Jiang (AAAI, 2025)

Zero-Shot Image Captioning with Multi-type Entity Representations. - Delong Zeng; Ying Shen 001; Man Lin; Zihao Yi; Jiarui Ouyang (AAAI, 2025)

Express What You See: Can Multimodal LLMs Decode Visual Ciphers with Intuitive Semiosis Comprehension? - Jiayi Kuang; Yinghui Li; Chen Wang 049; Haohao Luo; Ying Shen 001; Wenhao Jiang (ACL (Findings), 2025)

Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking. - Haohao Luo; Jiayi Kuang; Wei Liu 005; Ying Shen 001; Jian Luan 001; Yang Deng 002 (ACL (1), 2025)

CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. - Jingheng Ye; Zishan Xu; Yinghui Li; Linlin Song; Qingyu Zhou; Hai-Tao Zheng 002; Ying Shen 001; Wenhao Jiang; Hong-Gee Kim; Ruitong Liu; Xin Su; Zifei Shan (ACL (1), 2025)

Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. - Delong Zeng; Yuexiang Xie; Yaliang Li; Ying Shen 001 (ACL (1), 2025)

Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. - Zhenqing Ling; Yuexiang Xie; Chenhe Dong; Ying Shen 001 (COLING, 2025)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Bolin Ding; Yaliang Li; Ying Shen 001 (CVPR, 2025)

Intent-driven In-context Learning for Few-shot Dialogue State Tracking. - Zihao Yi; Zhe Xu 009; Ying Shen 001 (ICASSP, 2025)

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model. - Yue Zhang 004; Zhiyang Xu; Ying Shen 001; Parisa Kordjamshidi; Lifu Huang (ICLR, 2025)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. - Yinghui Li; Haojing Huang 001; Jiayi Kuang; Yangning Li; Shu-Yu Guo; Chao Qu; Xiaoyu Tan; Hai-Tao Zheng 002; Ying Shen 001; Philip S. Yu (ICLR, 2025)

Correct like humans: Progressive learning framework for Chinese text error correction. - Yinghui Li; Shirong Ma; Shaoshen Chen; Haojing Huang 001; Shulin Huang; Yangning Li; Hai-Tao Zheng 002; Ying Shen 001 (Expert Syst. Appl., 2025)

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (CoRR, 2025)

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. - Yinghui Li; Jiayi Kuang; Haojing Huang 001; Zhikun Xu; Xinnian Liang; Yi Yu; Wenlian Lu; Yangning Li; Xiaoyu Tan; Chao Qu; Ying Shen 001; Hai-Tao Zheng 002; et al. (CoRR, 2025)

MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. - Zhe Xu 009; Daoyuan Chen; Zhenqing Ling; Yaliang Li; Ying Shen 001 (CoRR, 2025)

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Xika Lin; Ying Shen 001; Yaliang Li (CoRR, 2025)

MAEMOT: Pretrained MAE-Based Antiocclusion 3-D Multiobject Tracking for Autonomous Driving. - Xiaofei Zhang; Zhengping Fan; Ying Shen 001; Yining Li; Yasong An; Xiaojun Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)

LTCR: Long-Text Chinese Rumor detection dataset. - Ziyang Ma 003; Mengsha Liu; Guian Fang; Ying Shen 001 (Neural Comput. Appl., 2025)

Attention Basin: Why Contextual Position Matters in Large Language Models. - Zihao Yi; Delong Zeng; Zhenqing Ling; Haohao Luo; Zhe Xu 009; Wei Liu 005; Jian Luan 001; Wanxia Cao; Ying Shen 001 (CoRR, 2025)

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey. - Jiayi Kuang; Ying Shen 001; Jingyou Xie; Haohao Luo; Zhe Xu 009; Ronghao Li; Yinghui Li; Xianfeng Cheng; Xika Lin; Yu Han (ACM Comput. Surv., 2025)