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Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu* , Bing Qin. Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. WSDM2023.
Zhenran Xu, Yulin Chen, Baotian Hu*. Improving Biomedical Entity Linking with Cross-Entity Interaction. AAAI2023.
Yuxiang Wu, Yu Zhao, Baotian Hu*, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel. An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP2022.
Dongfang Li, Baotian Hu*, Qingcai Chen*. Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. EMNLP 2022.
Dongfang Li, Baotian Hu*, Qingcai Chen*. Prompt-based Text Entailment for Low-Resource Named Entity Recognition. COLING 2022.
Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu*, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang. Medical Dialogue Response Generation with Pivotal Information Recalling. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
Qian Yang, Yunxin Li, Baotian Hu*, Lin Ma, Yuxing Ding, Min Zhang. Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations. ACM Multimedia, 2022.
Youcheng Pan, Baotian Hu*, Shiyue Wang, Xiaolong Wang, Qingcai Chen, Zenglin Xu, Min Zhang. Learning to generate complex question with intent prediction from long passage. Applied Intelligence, 2022.
Dongfang Li, Baotian Hu*, Qingcai Chen*, Tujie Xu, Jingcong Tao, Yunan Zhang. Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
Jingcong Tao, Youcheng Pan, Xinyu Li, Baotian Hu*, Weihua Peng, Cuiyun Han, Xiaolong Wang. Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization. ICASSP2022.
Yunxin Li, Qian Yang, Qingcai Chen, Baotian Hu*, Xiaolong Wang, Yuxin Ding, Lin Ma. Fast and Robust Online Handwritten Chinese Character Recognition with Deep Spatial & Contextual Information Fusion Network. IEEE Transactions on MultimediaI, 2022.
Zhenran Xu, Yulin Chen, Senbao Shi, Baotian Hu*. Enhancing Entity Linking with Contextualized Entity Embeddings, CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2022.
Wei Xinyuan, Liu Weihao, Qing Zong, Zhang Shaoqing, Baotian Hu*. Glyph Features Matter: a Multimodal Solution for EvaHan in LT4HALA2022. Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages, 2022.
Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang. Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking, IJCAI 2022.
Jing Chen, Baotian Hu*, Weihua Peng, Qingcai Chen*, Buzhou Tang. Biomedical relation extraction via knowledge-enhanced reading comprehension, BMC bioinformatics, 2022.
Shiyue Wang, Youcheng Pan, Zhenran Xu, Baotian Hu*, Xiaolong Wang. Enriching BERT With Knowledge Graph Embedding For Industry Classification. International Conference on Neural Information Processing (ICONIP), 2021.
Youcheng Pan, Chenghao Wang, Baotian Hu*, Yang Xiang, Xiaolong Wang, Qingcai Chen, Junjie Chen, Jingcheng Du, A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation, JMIR Medical Informatics, 2021.
Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu*, Qingcai Chen*, Weihua Peng, Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning, Journal of the American Medical Informatics Association, 2021.
Dongfang Li, Ying Xiong, Baotian Hu*, Buzhou Tang, Weihua Peng, Qingcai Chen, Drug knowledge discovery via multi-task learning and pre-trained models, BMC Medical Informatics and Decision Making, 2021.
Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu*, Dongfang Li, Sichao Chen, Xiaolong Wang, MSDF: A General Open-Domain Multi-skill Dialog Framework, CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2021.
Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, Lisai Zhang, Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning, ACL, 2021.
Kai Chen, Guanyu Fu, Qingcai Chen, Baotian Hu*, A Large-Scale Chinese Long-Text Extractive Summarization Corpus, ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Kai Chen, Fayuan Li, Baotian Hu*, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang, Neural Data-to-Text Generation with Dynamic Content Planning. Knowledge-Based Systems, 2021.
Dongfang Li, Baotian Hu*, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu, Attentive capsule network for click-through rate and conversion rate prediction in online advertising, Knowledge-Based Systems, 2021.
Xin Liu, Qingcai Chen, Yan Liu, Joanna Siebert, Baotian Hu, Xiangping Wu, Buzhou Tang, Decomposing word embedding with the capsule network, Knowledge-Based Systems, 2021
Wentai Zhang, Dongfang Li, Ming Feng, Baotian Hu, Yanghua Fan, Qingcai Chen, Renzhi Wang, Electronic Medical Records as Input to Predict Postoperative Immediate Remission of Cushing’s Disease: Application of Word Embedding, Frontiers in Oncology, 2021.
Youcheng Pan, Qingcai Chen, Weihua Peng, Xiaolong Wang, Baotian Hu* et.al. MedWriter: Knowledge-Aware Medical Text Generation, COLING, 2020.
Dongfang Li , Baotian Hu, Qingcai Chen ,Weihua Peng , Anqi Wang. Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text, EMNLP, 2020.
Xiangping Wu , Qingcai Chen , Wei Li , Yulun Xiao , Baotian Hu. AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification. ACM Multimedia, 2020.
Lisai Zhang, Qingcai Chen, Baotian Hu, Shuoran Jiang, Text-guided neural image inpainting, ACM Multimedia, 2020.
Xiangping Wu, Qingcai Chen, Yulun Xiao, Wei Li, Xin Liu, Baotian Hu, LCSegNet: An efficient semantic segmentation network for large-scale complex Chinese character recognition, IEEE Transactions on Multimedia, 2020.
Youcheng Pan, Baotian Hu*, Qingcai Chen, Yang Xiang, Xiaolong Wang. Learning to Generate Diverse Questions from Keywords[C]. The 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
Baotian Hu, Adarsha Bajracharya, Hong Yu. Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation. JMIR Medical Informatics, 2020.
Xin Liu#, Baotian Hu#, Qingcai Chen, Xiangping Wu, Jinhan You. Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (IEEE Trans), 2020.
Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen, DXHITSZ at BioNLP-OST 2019: Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning, EMNLP-IJCNLP, 2019.
Rumeng Li,Baotian Hu, Feifan Liu, Weisong Liu, Francesca Cunningham, David D McManus, Hong Yu, Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced with Recurrent Neural Network Autoencoders: Deep Learning Approach, JMIR medical informatics, 2019.
Kai Chen, Baotian Hu, Qingcai Chen, Hong Yu, A Neural Abstractive Summarization Model Guided with Topic Sentences, Aust. J. Intell. Inf. Process. Syst., 2019.
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu. Sentence Simplification with Memory-Augmented Neural Networks. The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018.
Xiaoqiang Zhou,Baotian Hu, Qingcai Chen, Xiaolong Wang. Recurrent convolutional neural network for answer selection in community question answering. Neurocomputing, 2018.
Yuxiang Wu#,Baotian Hu#. Learning to Extract Coherent Summary via Deep Reinforcement Learning. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018.
Jiatao Gu, Baotian Hu, Zhengdong Lu, Hang Li, Victor O.K. Li. Guided Sequence-to-Sequence Learning with External Rule Memory. International Conference on Learning Representations (ICLR) Workshop Track. 2016.
Baotian Hu, Buzhou Tang, Qingcai Chen, Longbiao Kang, A Novel Word Embedding Learning Model Using the Dissociation between Nouns and Verbs, Neurocomputing, 2016.
Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Xiaolong Wang. An Auto-Encoder for Learning Conversation Representation Using LSTM. International Conference on Neural Information Processing (ICONIP), 2015.
Xiaoqiang Zhou, Baotian Hu, Qingcai Chen,and Xiaolong Wang, "Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering", The joint conference of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing(ACL-IJCNLP), 2015.
Baotian Hu, Qingcai Chen and Fangze Zhu, "LCSTS: A Large-Scale Chinese Short Text Summarization Dataset", Empirical Methods in Natural Language Processing (EMNLP), 2015.
Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Xiaolong Wang. ICRC-HIT: A deep learning based comment sequence labeling system for answer selection challenge. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval), 2015.
Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, and Qingcai Chen, “Context-Dependent Translation Selection Using Convolutional Neural Network”, The joint conference of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), 2015.
Longbiao Kang, Baotian Hu, Qingcai Chen. A Short Texts Matching Method Using Shallow features and Deep Features. Conference on Natural Language Processing & Chinese Computing (NLPCC), 2014.
Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen. Convolutional Neural Network Architectures for Matching Natural Language Sentences. In Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2014.
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