PPIExtractor: A protein-protein interaction Extractor for biomédical literature. - Zhihao Yang; Zhehuan Zhao; Yanpeng Li; Yuncui Hu; Hongfei Lin (BIBM, 2012)

Deep neural network based protein-protein interaction extraction from biomedical literature. - Zhehuan Zhao; Zhihao Yang; Ling Luo 001; Hongfei Lin; Jian Wang 021; Song Gao (BIBM, 2015)

ML-CNN: A novel deep learning based disease named entity recognition architecture. - Zhehuan Zhao; Zhihao Yang; Ling Luo 001; Yin Zhang 009; Lei Wang 085; Hongfei Lin; Jian Wang 021 (BIBM, 2016)

Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks. - Yuhai Yu; Hongfei Lin; Jiana Meng; Zhehuan Zhao (Algorithms, 2016)

Drug drug interaction extraction from biomedical literature using syntax convolutional neural network. - Zhehuan Zhao; Zhihao Yang; Ling Luo 001; Hongfei Lin; Jian Wang 021 (Bioinform., 2016)

A protein-protein interaction extraction approach based on deep neural network. - Zhehuan Zhao; Zhihao Yang; Hongfei Lin; Jian Wang 021; Song Gao (Int. J. Data Min. Bioinform., 2016)

A graph kernel based on context vectors for extracting drug-drug interactions. - Wei Zheng 003; Hongfei Lin; Zhehuan Zhao; Bo Xu 009; Yijia Zhang 001; Zhihao Yang; Jian Wang 021 (J. Biomed. Informatics, 2016)

A hybrid protein-protein interaction triple extraction method for biomedical literature. - Zhehuan Zhao; Zhihao Yang; Cong Sun 004; Lei Wang 085; Hongfei Lin (BIBM, 2017)

An attention-based effective neural model for drug-drug interactions extraction. - Wei Zheng 003; Hongfei Lin; Ling Luo 001; Zhehuan Zhao; Zhengguang Li; Yijia Zhang 001; Zhihao Yang; Jian Wang 021 (BMC Bioinform., 2017)

Deep Transfer Learning for Modality Classification of Medical Images. - Yuhai Yu; Hongfei Lin; Jiana Meng; Xiaocong Wei; Hai Guo; Zhehuan Zhao (Inf., 2017)

Assembling Deep Neural Networks for Medical Compound Figure Detection. - Yuhai Yu; Hongfei Lin; Jiana Meng; Xiaocong Wei; Zhehuan Zhao (Inf., 2017)

HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms. - Qingqing Li; Zhihao Yang; Zhehuan Zhao; Ling Luo 001; Zhiheng Li 004; Lei Wang 085; Yin Zhang 009; Hongfei Lin; Jian Wang 021; Yijia Zhang 001 (BIBM, 2018)

Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content. - Bo Xu 009; Xiufeng Shi; Zhehuan Zhao; Wei Zheng 003; Hongfei Lin; Zhihao Yang; Jian Wang 021; Feng Xia 001 (BIBM, 2018)

Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction. - Bo Xu 008; Xiufeng Shi; Zhehuan Zhao; Wei Zheng 003 (IEEE Access, 2018)

Protein complexes identification based on go attributed network embedding. - Bo Xu 008; Kun Li; Wei Zheng 003; Xiaoxia Liu; Yijia Zhang 001; Zhehuan Zhao; Zengyou He (BMC Bioinform., 2018)

Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. - Feng Ding 004; Xiangjie Kong 001; Zhehuan Zhao; Feng Xia 001; Anfu Liu; Chenxu Bai; Bo Xu 008; Xiaoxia Liu; Shengtian Sang; Hongfei Lin; Zhihao Yang; Jian Wang 021 (BIBM, 2019)

Distantly Supervised Relation Extraction through a Trade-off Mechanism. - Jun Ni; Yu Liu 035; Kai Wang 057; Zhehuan Zhao; Quan Z. Sheng (IJCNN, 2019)

Neural network-based approaches for biomedical relation classification: A review. - Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Yuanyuan Sun 002; Bo Xu 009; Zhehuan Zhao (J. Biomed. Informatics, 2019)

A Context-Based Network For Referring Image Segmentation. - Xinyu Li; Yu Liu 035; Kaiping Xu; Zhehuan Zhao; Sipei Liu (ICIP, 2020)

DRGCN: Deep Relation GCN for Group Activity Recognition. - Yiqiang Feng; Shimin Shan; Yu Liu 035; Zhehuan Zhao; Kaiping Xu (ICONIP (4), 2020)

TL-BERT: A Novel Biomedical Relation Extraction Approach. - Zhehuan Zhao; Yuying Zou; Yang Tian; Bo Xu 009; Zhihao Yang; Jian Wang 021; Hongfei Lin; Shimin Shan; Yu Liu 035 (BIBM, 2021)

A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. - Kaixin Wang; Xiujuan Xu; Yu Liu 035; Zhehuan Zhao (CCIR, 2021)

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. - Bo Xu 009; Tingting Li; Junzhe Zheng; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (SIGIR, 2022)

Mining Multivariate Implicit Relationships in Academic Networks. - Bo Xu 008; Bowen Chen; Tianyu Zhang; Jiaying Liu 006; Chunke Liao; Zhehuan Zhao (WWW (Companion Volume), 2022)

Biomedical Named Entity Recognition Through Deep Reinforcement Learning. - Zhehuan Zhao; Bo Xu 009; Yuying Zou; Zhihao Yang; Menghan Wang; Hongfei Lin (BIBM, 2023)

Dual Relation-Aware Entity Alignment for Knowledge Graph. - Xin Zhang; Yu Liu 035; Zhehuan Zhao (IJCNN, 2023)

Biomedical Event Extraction as Semantic Segmentation. - Liangyu Gao; Zhihao Yang; Jinzhong Ning; Kai Ma; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; et al. (BIBM, 2024)

Document-level Biomedical Relation Extraction Based on Relation-guided Entity-level Graphs. - Liangyu Gao; Zhihao Yang; Haixin Tan; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Yuanyuan Sun 002; et al. (BIBM, 2024)

Document Embeddings Enhance Biomedical Retrieval-Augmented Generation. - Yongle Kong; Zhihao Yang; Ling Luo 001; Zeyuan Ding; Lei Wang 085; Wei Liu; Yin Zhang 009; Bo Xu 009; Jian Wang 021; Yuanyuan Sun 002; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Biomedical Document-level Relation Extraction with Coreference and Anaphor Graphs. - Jiru Li; Yuanyuan Sun 002; Zhihao Yang; Ling Luo 001; Lei Wang 085; Wei Liu; Yin Zhang 009; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Efficient Knowledge Graph Embedding Framework to Alleviate Data Sparsity for Polypharmacy Side Effects Prediction. - Senbo Tu; Zhihao Yang; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. - Bo Xu 009; Longjiao Li; Wei Luo 001; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (LREC/COLING, 2024)

ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes. - Xiujuan Xu; Xiaoxiao Shi; Zhehuan Zhao; Yu Liu 035 (LREC/COLING, 2024)

MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation. - Xiujuan Xu; Xiaoxiao Shi; Zhehuan Zhao; Yu Liu 035 (ECAI, 2024)

Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment. - Xin Zhang; Yu Liu 035; Zhehuan Zhao (ICASSP, 2024)

PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction. - Yang Zhou; Shimin Shan; Hongkui Wei; Zhehuan Zhao; Wenshuo Feng (CoRR, 2024)

A self-supervised entity alignment framework via attribute correction. - Xin Zhang; Yu Liu 035; Hongkui Wei; Shimin Shan; Zhehuan Zhao (J. King Saud Univ. Comput. Inf. Sci., 2024)

Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security. - Bo Xu 008; Jinpeng Wang; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (IEEE Trans. Consumer Electron., 2024)