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Lishuang Li
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2020 – today
- 2024
- [j39]Xinguang Zhang
, Jingsong Chen, Lishuang Li, Yonghong Wu
A Singular Tempered Sub-Diffusion Fractional Equation with Changing-Sign Perturbation. Axioms 13(4): 264 (2024) - [j38]Xueyang Qin, Lishuang Li
Heterogeneous Graph Fusion Network for cross-modal image-text retrieval. Expert Syst. Appl. 249: 123842 (2024) - [j37]Xueyang Qin, Lishuang Li
Multi-level knowledge-driven feature representation and triplet loss optimization network for image-text retrieval. Inf. Process. Manag. 61(1): 103575 (2024) - [j36]Xueyang Qin, Lishuang Li, Jingyao Tang, Fei Hao, Meiling Ge, Guangyao Pang:
Multi-Task Visual Semantic Embedding Network for Image-Text Retrieval. J. Comput. Sci. Technol. 39(4): 811-826 (2024) - [j35]Xueyang Qin, Lishuang Li
Multi-scale motivated neural network for image-text matching. Multim. Tools Appl. 83(2): 4383-4407 (2024) - [j34]Xinguang Zhang
A Singular Tempered Sub-Diffusion Fractional Model Involving a Non-Symmetrically Quasi-Homogeneous Operator. Symmetry 16(6): 671 (2024) - [c56]Tianqi Hu, Lishuang Li, Xueyang Qin, Yubo Feng:
Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts. LREC/COLING 2024: 6643-6654 - [c55]Jingyao Tang, Lishuang Li, Hongbin Lu, Xueyang Qin, Beibei Zhang, Haiming Wu:
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection. LREC/COLING 2024: 13269-13278 - [c54]Xueyang Qin, Lishuang Li, Jing Hao, Meiling Ge, Jiayi Huang, Guangyao Pang:
Multi-task Collaborative Network for Image-Text Retrieval. MMM (3) 2024: 28-42 - [i1]Yubo Feng, Lishuang Li, Yi Xiang, Xueyang Qin:
PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning. CoRR abs/2404.17877 (2024) - 2023
- [j33]Lishuang Li
Dual-view graph neural network with gating mechanism for entity alignment. Appl. Intell. 53(15): 18189-18204 (2023) - [j32]Xueyang Qin, Lishuang Li
Cross-modal information balance-aware reasoning network for image-text retrieval. Eng. Appl. Artif. Intell. 120: 105923 (2023) - [j31]Jingyao Tang, Lishuang Li, Hongbin Lu, Beibei Zhang, Haiming Wu:
Improving long-tail relation extraction via adaptive adjustment and causal inference. Neurocomputing 552: 126563 (2023) - [j30]Beibei Zhang, Lishuang Li
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning. Neural Networks 164: 186-202 (2023) - [j29]Beibei Zhang, Lishuang Li, Dingxin Song, Yang Zhao:
Biomedical event causal relation extraction based on a knowledge-guided hierarchical graph network. Soft Comput. 27(22): 17369-17386 (2023) - [c53]Jing Hao, Lishuang Li, Xueyang Qin:
Biomedical Causal Relation Extraction via Data Augmentation and Multi-source Knowledge Fusion. BIBM 2023: 1112-1117 - [c52]Lishuang Li, Tianqi Hu, Xueyang Qin:
A Time-Guided Method for Constructing Combined Medical Event Chains. BIBM 2023: 2027-2030 - [c51]Lishuang Li, Wanting Ning:
ProBioRE: A Framework for Biomedical Causal Relation Extraction Based on Dual-head Prompt and Prototypical Network. BIBM 2023: 2071-2074 - [c50]Beibei Zhang, Lishuang Li, Qian Yang, Dapeng Feng:
Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction. BIBM 2023: 4990-4992 - [c49]Yubo Feng, Lishuang Li, Yi Xiang, Xueyang Qin:
PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning. NLPCC (1) 2023: 261-272 - [c48]Lishuang Li, Huxiong Chen, Xueyang Qin, Zehao Wang, Jiangyuan Dong:
KARN: Knowledge Augmented Reasoning Network for Question Answering. NLPCC (1) 2023: 629-641 - 2022
- [j28]Shiyi Zhao, Lishuang Li:
Temporal information extraction with the scalable cross-sentence context for electronic health records. J. Biomed. Informatics 128: 104052 (2022) - [c47]Lishuang Li, Shixian Jiang, Beibei Zhang:
A Knowledge-Enhanced Model with Dual-Channel Encoder for Joint Entity and Relation Extraction from Biomedical Literature. BIBM 2022: 773-776 - [c46]Hongbin Lu, Dingxin Song, Yu Zhu, Lishuang Li:
Drug-Drug Interaction Extraction Using Drug Knowledge Graph. BIBM 2022: 3846-3848 - [c45]Tiesen Sun, Lishuang Li:
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning. CCL 2022: 180-193 - [c44]Lishuang Li, Ruiyuan Lian, Hongbin Lu, Jingyao Tang:
Document-level Biomedical Relation Extraction Based on Multi-Dimensional Fusion Information and Multi-Granularity Logical Reasoning. COLING 2022: 2098-2107 - [c43]Tiesen Sun, Lishuang Li:
TEMPLATE: TempRel Classification Model Trained with Embedded Temporal Relation Knowledge. NLPCC (1) 2022: 246-258 - [c42]Lishuang Li, Zehao Wang, Xueyang Qin, Hongbin Lu:
Dual Interactive Attention Network for Joint Entity and Relation Extraction. NLPCC (1) 2022: 259-271 - 2021
- [j27]Lishuang Li, Beibei Zhang:
Exploiting dependency information to improve biomedical event detection via gated polar attention mechanism. Neurocomputing 421: 210-221 (2021) - [j26]Zuocheng Li
JTSG: A joint term-sentiment generator for aspect-based sentiment analysis. Neurocomputing 459: 1-9 (2021) - [j25]Hongbin Lu, Lishuang Li, Zuocheng Li
Extracting chemical-induced disease relation by integrating a hierarchical concentrative attention and a hybrid graph-based neural network. J. Biomed. Informatics 121: 103874 (2021) - [c41]Lishuang Li, Ruiyuan Lian, Hongbin Lu:
Document-Level Biomedical Relation Extraction with Generative Adversarial Network and Dual-Attention Multi-Instance Learning. BIBM 2021: 438-443 - [c40]Lishuang Li, Fuxiao Zhang:
BGGF: A Gated Information Fusion Model For Biomedical Entity Recognition. BIBM 2021: 694-697 - 2020
- [j24]Lishuang Li
Multiple fragment-level interactive networks for answer selection. Neurocomputing 402: 80-88 (2020) - [j23]Yu Zhu, Lishuang Li
Extracting drug-drug interactions from texts with BioBERT and multiple entity-aware attentions. J. Biomed. Informatics 106: 103451 (2020) - [j22]Lishuang Li
Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 599-607 (2020) - [j21]Lishuang Li
Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 841-846 (2020) - [c39]Lishuang Li, Mengzuo Huang, Beibei Zhang:
Hierarchical Distillation Network for Biomedical Event Extraction. BIBM 2020: 287-292 - [c38]Lishuang Li, Hongbin Lu, Shuang Qian, Shiyi Zhao, Yifan Zhu:
Learning Global Representations for Document-Level Biomedical Relation Extraction. CCKS 2020: 106-118
2010 – 2019
- 2019
- [j20]Hongbin Lu, Lishuang Li, Xinyu He
Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks. Comput. Methods Programs Biomed. 176: 61-68 (2019) - [j19]Xinyu He
Multi-Level Attention Based BLSTM Neural Network for Biomedical Event Extraction. IEICE Trans. Inf. Syst. 102-D(9): 1842-1850 (2019) - [j18]Lishuang Li
Contextual label sensitive gated network for biomedical event trigger extraction. J. Biomed. Informatics 95 (2019) - [j17]Shiyi Zhao, Lishuang Li
Associative attention networks for temporal relation extraction from electronic health records. J. Biomed. Informatics 99 (2019) - 2018
- [j16]Lishuang Li, Jia Wan, Jieqiong Zheng, Jian Wang:
Biomedical event extraction based on GRU integrating attention mechanism. BMC Bioinform. 19-S(9): 177-184 (2018) - [j15]Yan Wang, Jian Wang, Hongfei Lin, Xiwei Tang, Shaowu Zhang, Lishuang Li:
Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space. BMC Bioinform. 19-S(20): 59-66 (2018) - [j14]Lishuang Li, Xinyu He
An Active Transfer Learning Framework for Protein-Protein Interaction Extraction. IEICE Trans. Inf. Syst. 101-D(2): 504-511 (2018) - [j13]Xinyu He
A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1325-1332 (2018) - [c37]Xinyu He
Biomedical Event Trigger Detection Based on BiLSTM Integrating Attention Mechanism and Sentence Vector. BIBM 2018: 651-654 - [c36]Lishuang Li, Yuankai Guo, Shuang Qian, Anqiao Zhou:
An End-to-End Entity and Relation Extraction Network with Multi-head Attention. CCL 2018: 136-146 - [c35]Lishuang Li, Yang Liu, Anqiao Zhou:
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis. CoNLL 2018: 181-189 - 2017
- [j12]Lishuang Li, Jieqiong Zheng, Jia Wan:
Dynamic extended tree conditioned LSTM-based biomedical event extraction. Int. J. Data Min. Bioinform. 17(3): 266-278 (2017) - [j11]Degen Huang, Zhenchao Jiang, Li Zou, Lishuang Li:
Drug-drug interaction extraction from biomedical literature using support vector machine and long short term memory networks. Inf. Sci. 415: 100-109 (2017) - [c34]Lishuang Li, Yuxin Jiang:
Biomedical named entity recognition based on the two channels and sentence-level reading control conditioned LSTM-CRF. BIBM 2017: 380-385 - [c33]Yan Wang, Jian Wang, Hongfei Lin, Shaowu Zhang, Lishuang Li:
Biomedical event trigger detection based on bidirectional LSTM and CRF. BIBM 2017: 445-450 - [c32]Lishuang Li, Yang Liu:
Exploiting argument information to improve biomedical event trigger identification via recurrent neural networks and supervised attention mechanisms. BIBM 2017: 565-568 - [c31]Lishuang Li, Jia Wan, Degen Huang:
Biomedical Domain-Oriented Word Embeddings via Small Background Texts for Biomedical Text Mining Tasks. NLPCC 2017: 554-564 - 2016
- [j10]Zhenchao Jiang, Lishuang Li, Degen Huang:
A general protein-protein interaction extraction architecture based on word representation and feature selection. Int. J. Data Min. Bioinform. 14(3): 276-291 (2016) - [j9]Dingxin Song, Lishuang Li, Liuke Jin, Degen Huang:
Biomedical named entity recognition based on recurrent neural networks with different extended methods. Int. J. Data Min. Bioinform. 16(1): 17-31 (2016) - [j8]Dingxin Song, Degen Huang, Lishuang Li, Hong-Lei He:
Biomedical Named Entity Recognition Based on Feature Selection and Word Representations. J. Inf. Hiding Multim. Signal Process. 7(4): 729-740 (2016) - [j7]Zhenchao Jiang, Lishuang Li, Degen Huang:
An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 634-642 (2016) - [j6]Lishuang Li, Shanshan Liu, Meiyue Qin, Yiwen Wang, Degen Huang:
Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 669-677 (2016) - [c30]Xiaohui Lin, Huanhuan Song, Meng Fan, Weijie Ren, Lishuang Li, Weihong Yao:
The feature selection algorithm based on feature overlapping and group overlapping. BIBM 2016: 619-624 - [c29]Lishuang Li, Jieqiong Zheng, Jia Wan, Degen Huang, Xiaohui Lin:
Biomedical event extraction via Long Short Term Memory networks along dynamic extended tree. BIBM 2016: 739-742 - [c28]Xinyu He
Extracting Biomedical Event Using Feature Selection and Word Representation. BioNLP (Shared Task) 2016: 101 - [c27]Lishuang Li, Meiyue Qin, Degen Huang:
Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddings. CCKS 2016: 67-79 - [c26]Lishuang Li, Liuke Jin, Yuxin Jiang, Degen Huang:
Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM. CCL 2016: 165-176 - [c25]Lishuang Li, Zhenchao Jiang, Yang Liu, Degen Huang:
Word Representation on Small Background Texts. SMP 2016: 143-150 - 2015
- [j5]Lishuang Li, Jing Zhang, Liuke Jin, Rui Guo, Degen Huang:
A distributed meta-learning system for Chinese entity relation extraction. Neurocomputing 149: 1135-1142 (2015) - [c24]Zhenchao Jiang, Lishuang Li, Degen Huang, Liuke Jin:
Training word embeddings for deep learning in biomedical text mining tasks. BIBM 2015: 625-628 - [c23]Lishuang Li, Liuke Jin, Zhenchao Jiang, Dingxin Song, Degen Huang:
Biomedical named entity recognition based on extended Recurrent Neural Networks. BIBM 2015: 649-652 - [c22]Lishuang Li, Jieqiong Zheng, Dingxin Song, Rui Guo, Degen Huang:
Protein-protein interaction extraction based on actively transfer learning. BIBM 2015: 1717 - [c21]Lishuang Li, Liuke Jin, Degen Huang:
Exploring Recurrent Neural Networks to Detect Named Entities from Biomedical Text. CCL 2015: 279-290 - 2014
- [c20]Lishuang Li, Liuke Jin, Zhenchao Jiang, Jing Zhang, Degen Huang:
Coreference resolution in biomedical texts. BIBM 2014: 12-14 - [c19]Lishuang Li, Rui Guo, Zhenchao Jiang, Degen Huang:
Improving Kernel-based protein-protein interaction extraction by unsupervised word representation. BIBM 2014: 379-384 - [c18]Lishuang Li, Liuke Jin, Jieqiong Zheng, Panpan Zhang, Degen Huang:
The Protein-Protein Interaction extraction based on full texts. BIBM 2014: 493-496 - [c17]Lishuang Li, Zhenchao Jiang, Degen Huang:
A general instance representation architecture for protein-protein interaction extraction. BIBM 2014: 497-500 - [c16]Hai Wei, Xiaohui Lin, Xirong Xu, Lishuang Li, Weijian Zhang, Xiaomei Wang:
A novel ensemble classifier based on multiple diverse classification methods. FSKD 2014: 301-305 - 2013
- [j4]Lishuang Li, Wenting Fan, Degen Huang:
A Two-Phase Bio-NER System Based on Integrated Classifiers and Multiagent Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 897-904 (2013) - [c15]Lishuang Li, Yiwen Wang, Degen Huang:
Improving Feature-Based Biomedical Event Extraction System by Integrating Argument Information. BioNLP@ACL (Shared Task) 2013: 109-115 - [c14]Huiwei Zhou, Yan Zhang, Degen Huang, Lishuang Li:
Semi-supervised Learning with Transfer Learning. CCL 2013: 109-119 - 2012
- [j3]Lishuang Li, Wenting Fan, Degen Huang, Yanzhong Dang, Jing Sun:
Boosting performance of gene mention tagging system by hybrid methods. J. Biomed. Informatics 45(1): 156-164 (2012) - 2011
- [j2]Lishuang Li, Peng Wang, Degen Huang, Lian Zhao:
Mining English-Chinese Named Entity Pairs from Comparable Corpora. ACM Trans. Asian Lang. Inf. Process. 10(4): 19:1-19:19 (2011) - [c13]Lishuang Li, Degen Huang, Min Wang:
Protein-Protein Interaction extraction based on ensemble kernel model and active learning strategy. NLPKE 2011: 9-14 - 2010
- [c12]Degen Huang, Lian Zhao, Lishuang Li, Haitao Yu:
Mining Large-scale Comparable Corpora from Chinese-English News Collections. COLING (Posters) 2010: 472-480 - [c11]Lishuang Li, Jing Sun, Degen Huang:
Boosting performance of gene mention tagging system by classifiers ensemble. NLPKE 2010: 1-4 - [c10]Haitao Yu, Fuji Ren, Degen Huang, Lishuang Li:
Designing effective web mining-based techniques for OOV translation. NLPKE 2010: 1-8 - [c9]Wei Wang, Degen Huang, Lishuang Li, Xiuying Li:
DLUT Question Answering System at NTCIR-8 CCLQA. NTCIR 2010: 55-62
2000 – 2009
- 2009
- [j1]Lishuang Li, Rongpeng Zhou, Degen Huang:
Two-phase biomedical named entity recognition using CRFs. Comput. Biol. Chem. 33(4): 334-338 (2009) - [c8]Lishuang Li, Linmei Jing, Degen Huang:
Protein-protein interaction extraction from biomedical literatures based on modified SVM-KNN. NLPKE 2009: 1-7 - [c7]Lishuang Li, Rongpeng Zhou, Degen Huang, Wenping Liao:
Integrating divergent models for gene mention tagging. NLPKE 2009: 1-7 - 2008
- [c6]Lishuang Li, Zhuoye Ding, Degen Huang, Huiwei Zhou:
A Hybrid Model Based on CRFs for Chinese Named Entity Recognition. ALPIT 2008: 127-132 - [c5]Degen Huang, Xiao Sun, Shidou Jiao, Lishuang Li, Zhuoye Ding, Ru Wan:
HMM and CRF Based Hybrid Model for Chinese Lexical Analysis. IJCNLP 2008: 133-137 - [c4]Lishuang Li, Zhuoye Ding, Degen Huang:
Recognizing location names from Chinese texts based on Max-Margin Markov Network. NLPKE 2008: 1-7 - 2006
- [c3]Lishuang Li, Tingting Mao, Degen Huang, Yuansheng Yang:
Hybrid Models for Chinese Named Entity Recognition. SIGHAN@COLING/ACL 2006: 72-78 - 2005
- [c2]Lishuang Li, Lihua Li, Degen Huang, Heping Song:
Chinese Syntactic Category Disambiguation Using Support Vector Machines. ISNN (2) 2005: 246-250 - 2004
- [c1]Lishuang Li, Chunrong Chen, Degen Huang, Yuansheng Yang:
Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines. ISNN (1) 2004: 983-987
Coauthor Index
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